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You searched for subject:(Structural damage identification). Showing records 1 – 30 of 58 total matches.

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Rice University

1. Lai, Zhilu. Sparse Structural System Identification and Damage Detection.

Degree: PhD, Engineering, 2018, Rice University

 Establishing a physical parameterized model among structural system identification techniques is still a challenging problem. An efficient parameterized model should capture the inherent dynamic behavior… (more)

Subjects/Keywords: Sparse identification; statistical learning; structural identification; structural damage detection; vibration testing

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APA (6th Edition):

Lai, Z. (2018). Sparse Structural System Identification and Damage Detection. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105769

Chicago Manual of Style (16th Edition):

Lai, Zhilu. “Sparse Structural System Identification and Damage Detection.” 2018. Doctoral Dissertation, Rice University. Accessed October 21, 2019. http://hdl.handle.net/1911/105769.

MLA Handbook (7th Edition):

Lai, Zhilu. “Sparse Structural System Identification and Damage Detection.” 2018. Web. 21 Oct 2019.

Vancouver:

Lai Z. Sparse Structural System Identification and Damage Detection. [Internet] [Doctoral dissertation]. Rice University; 2018. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1911/105769.

Council of Science Editors:

Lai Z. Sparse Structural System Identification and Damage Detection. [Doctoral Dissertation]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105769


Texas A&M University

2. You, Taesun. Iterative Damage Index Method for Structural Health Monitoring.

Degree: 2011, Texas A&M University

Structural Health Monitoring (SHM) is an effective alternative to conventional inspections which are time-consuming and subjective. SHM can detect damage early and reduce maintenance cost… (more)

Subjects/Keywords: Vibration-based damage identification method; Damage Index Method; Structural Health Monitoring

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APA (6th Edition):

You, T. (2011). Iterative Damage Index Method for Structural Health Monitoring. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7501

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

You, Taesun. “Iterative Damage Index Method for Structural Health Monitoring.” 2011. Thesis, Texas A&M University. Accessed October 21, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7501.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

You, Taesun. “Iterative Damage Index Method for Structural Health Monitoring.” 2011. Web. 21 Oct 2019.

Vancouver:

You T. Iterative Damage Index Method for Structural Health Monitoring. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7501.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

You T. Iterative Damage Index Method for Structural Health Monitoring. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7501

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Li, Li. Damage and material identification using inverse analysis.

Degree: PhD, Civil and Environmental Engineering, 2012, National Library of Canada

 In this thesis, we formulate novel solutions to two inverse problems using optical measurements as input data: i) local level damage identification of beams, and… (more)

Subjects/Keywords: Applied sciences; Damage identification; Inverse analysis; Material identification; Structural health monitoring

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APA (6th Edition):

Li, L. (2012). Damage and material identification using inverse analysis. (Doctoral Dissertation). National Library of Canada. Retrieved from http://scholar.uwindsor.ca/etd/4825

Chicago Manual of Style (16th Edition):

Li, Li. “Damage and material identification using inverse analysis.” 2012. Doctoral Dissertation, National Library of Canada. Accessed October 21, 2019. http://scholar.uwindsor.ca/etd/4825.

MLA Handbook (7th Edition):

Li, Li. “Damage and material identification using inverse analysis.” 2012. Web. 21 Oct 2019.

Vancouver:

Li L. Damage and material identification using inverse analysis. [Internet] [Doctoral dissertation]. National Library of Canada; 2012. [cited 2019 Oct 21]. Available from: http://scholar.uwindsor.ca/etd/4825.

Council of Science Editors:

Li L. Damage and material identification using inverse analysis. [Doctoral Dissertation]. National Library of Canada; 2012. Available from: http://scholar.uwindsor.ca/etd/4825


University of Windsor

4. Li, Li. DAMAGE AND MATERIAL IDENTIFICATION USING INVERSE ANALYSIS.

Degree: PhD, Civil and Environmental Engineering, 2012, University of Windsor

  In this thesis, we formulate novel solutions to two inverse problems using optical measurements as input data: i) local level damage identification of beams,… (more)

Subjects/Keywords: damage identification; finite element; inverse analysis; material identification; structural health monitoring

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APA (6th Edition):

Li, L. (2012). DAMAGE AND MATERIAL IDENTIFICATION USING INVERSE ANALYSIS. (Doctoral Dissertation). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5382

Chicago Manual of Style (16th Edition):

Li, Li. “DAMAGE AND MATERIAL IDENTIFICATION USING INVERSE ANALYSIS.” 2012. Doctoral Dissertation, University of Windsor. Accessed October 21, 2019. https://scholar.uwindsor.ca/etd/5382.

MLA Handbook (7th Edition):

Li, Li. “DAMAGE AND MATERIAL IDENTIFICATION USING INVERSE ANALYSIS.” 2012. Web. 21 Oct 2019.

Vancouver:

Li L. DAMAGE AND MATERIAL IDENTIFICATION USING INVERSE ANALYSIS. [Internet] [Doctoral dissertation]. University of Windsor; 2012. [cited 2019 Oct 21]. Available from: https://scholar.uwindsor.ca/etd/5382.

Council of Science Editors:

Li L. DAMAGE AND MATERIAL IDENTIFICATION USING INVERSE ANALYSIS. [Doctoral Dissertation]. University of Windsor; 2012. Available from: https://scholar.uwindsor.ca/etd/5382


University of California – San Diego

5. Ebrahimian, Hamed. NONLINEAR FINITE ELEMENT MODEL UPDATING FOR NONLINEAR SYSTEM AND DAMAGE IDENTIFICATION OF CIVIL STRUCTURES.

Degree: Structural Engineering, 2015, University of California – San Diego

Structural health monitoring (SHM) is defined as the capability to monitor the performance behavior of civil infrastructure systems as well as to detect, localize, and… (more)

Subjects/Keywords: Engineering; Bayesian Inference; Damage Identification; Model Updating; Nonlinear Finite Element; Structural Health Monitoring; System Identification

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APA (6th Edition):

Ebrahimian, H. (2015). NONLINEAR FINITE ELEMENT MODEL UPDATING FOR NONLINEAR SYSTEM AND DAMAGE IDENTIFICATION OF CIVIL STRUCTURES. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/62r7p58r

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ebrahimian, Hamed. “NONLINEAR FINITE ELEMENT MODEL UPDATING FOR NONLINEAR SYSTEM AND DAMAGE IDENTIFICATION OF CIVIL STRUCTURES.” 2015. Thesis, University of California – San Diego. Accessed October 21, 2019. http://www.escholarship.org/uc/item/62r7p58r.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ebrahimian, Hamed. “NONLINEAR FINITE ELEMENT MODEL UPDATING FOR NONLINEAR SYSTEM AND DAMAGE IDENTIFICATION OF CIVIL STRUCTURES.” 2015. Web. 21 Oct 2019.

Vancouver:

Ebrahimian H. NONLINEAR FINITE ELEMENT MODEL UPDATING FOR NONLINEAR SYSTEM AND DAMAGE IDENTIFICATION OF CIVIL STRUCTURES. [Internet] [Thesis]. University of California – San Diego; 2015. [cited 2019 Oct 21]. Available from: http://www.escholarship.org/uc/item/62r7p58r.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ebrahimian H. NONLINEAR FINITE ELEMENT MODEL UPDATING FOR NONLINEAR SYSTEM AND DAMAGE IDENTIFICATION OF CIVIL STRUCTURES. [Thesis]. University of California – San Diego; 2015. Available from: http://www.escholarship.org/uc/item/62r7p58r

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Western Australia

6. Bao, Chunxiao. Vibration-based system identification and damage detection of civil engineering structures.

Degree: PhD, 2012, University of Western Australia

[Truncated abstract] Civil engineering structures inevitably subject to the adverse effects of environment erosion, material aging, fatigue, long-term effect of loadings, and natural disasters etc.,… (more)

Subjects/Keywords: Vibration-based structural system identification; Damage detection; Improved HHT method; Linear time-varying system identification; Multi-stage damage detection; Correlation-based ARMA method; non-model based damage detection

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APA (6th Edition):

Bao, C. (2012). Vibration-based system identification and damage detection of civil engineering structures. (Doctoral Dissertation). University of Western Australia. Retrieved from http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=34127&local_base=GEN01-INS01

Chicago Manual of Style (16th Edition):

Bao, Chunxiao. “Vibration-based system identification and damage detection of civil engineering structures.” 2012. Doctoral Dissertation, University of Western Australia. Accessed October 21, 2019. http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=34127&local_base=GEN01-INS01.

MLA Handbook (7th Edition):

Bao, Chunxiao. “Vibration-based system identification and damage detection of civil engineering structures.” 2012. Web. 21 Oct 2019.

Vancouver:

Bao C. Vibration-based system identification and damage detection of civil engineering structures. [Internet] [Doctoral dissertation]. University of Western Australia; 2012. [cited 2019 Oct 21]. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=34127&local_base=GEN01-INS01.

Council of Science Editors:

Bao C. Vibration-based system identification and damage detection of civil engineering structures. [Doctoral Dissertation]. University of Western Australia; 2012. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=34127&local_base=GEN01-INS01


University of Southern California

7. Asghari, Ali. Characterization of environmental variability in identified dynamic properties of a soil-foundation-structure system.

Degree: PhD, Civil Engineering, 2009, University of Southern California

 For more than thirty years, researchers have attempted to establish effective local and global methods for monitoring civil, aerospace and mechanical structures. The unpredictable nature… (more)

Subjects/Keywords: system identification; soil-structure interaction; damage detection; structural health monitoring; modal analysis

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APA (6th Edition):

Asghari, A. (2009). Characterization of environmental variability in identified dynamic properties of a soil-foundation-structure system. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/272251/rec/1300

Chicago Manual of Style (16th Edition):

Asghari, Ali. “Characterization of environmental variability in identified dynamic properties of a soil-foundation-structure system.” 2009. Doctoral Dissertation, University of Southern California. Accessed October 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/272251/rec/1300.

MLA Handbook (7th Edition):

Asghari, Ali. “Characterization of environmental variability in identified dynamic properties of a soil-foundation-structure system.” 2009. Web. 21 Oct 2019.

Vancouver:

Asghari A. Characterization of environmental variability in identified dynamic properties of a soil-foundation-structure system. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Oct 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/272251/rec/1300.

Council of Science Editors:

Asghari A. Characterization of environmental variability in identified dynamic properties of a soil-foundation-structure system. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/272251/rec/1300

8. Castanheira, João Pedro da Conceição. Benchmarking de identificação de ano: criação de um site para benchmarking de técnicas de identificação de dano.

Degree: 2015, Repositório Científico do Instituto Politécnico de Lisboa

Dissertação para obtenção do grau de Mestre em Engenharia Mecânica na Área de Manutenção e Produção

Desde dos anos 80 que se tem vindo a… (more)

Subjects/Keywords: Identificação de dano em estruturas; SHM - Structural health monitoring; Damage identification in structures

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APA (6th Edition):

Castanheira, J. P. d. C. (2015). Benchmarking de identificação de ano: criação de um site para benchmarking de técnicas de identificação de dano. (Thesis). Repositório Científico do Instituto Politécnico de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/5497

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Castanheira, João Pedro da Conceição. “Benchmarking de identificação de ano: criação de um site para benchmarking de técnicas de identificação de dano.” 2015. Thesis, Repositório Científico do Instituto Politécnico de Lisboa. Accessed October 21, 2019. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/5497.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Castanheira, João Pedro da Conceição. “Benchmarking de identificação de ano: criação de um site para benchmarking de técnicas de identificação de dano.” 2015. Web. 21 Oct 2019.

Vancouver:

Castanheira JPdC. Benchmarking de identificação de ano: criação de um site para benchmarking de técnicas de identificação de dano. [Internet] [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2015. [cited 2019 Oct 21]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/5497.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Castanheira JPdC. Benchmarking de identificação de ano: criação de um site para benchmarking de técnicas de identificação de dano. [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2015. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/5497

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Washington State University

9. [No author]. Active Lamb wave propagation-based damage identification in plate-like structures .

Degree: 2015, Washington State University

 In this study, the improved active Lamb wave propagation-based damage identification methods are developed for metallic and composite laminated plates. Existing studies are first reviewed… (more)

Subjects/Keywords: Civil engineering; Damage identification; Lamb wave; Sensor array; Signal processing; Structural health monitoring

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APA (6th Edition):

author], [. (2015). Active Lamb wave propagation-based damage identification in plate-like structures . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/6250

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

author], [No. “Active Lamb wave propagation-based damage identification in plate-like structures .” 2015. Thesis, Washington State University. Accessed October 21, 2019. http://hdl.handle.net/2376/6250.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

author], [No. “Active Lamb wave propagation-based damage identification in plate-like structures .” 2015. Web. 21 Oct 2019.

Vancouver:

author] [. Active Lamb wave propagation-based damage identification in plate-like structures . [Internet] [Thesis]. Washington State University; 2015. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/2376/6250.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. Active Lamb wave propagation-based damage identification in plate-like structures . [Thesis]. Washington State University; 2015. Available from: http://hdl.handle.net/2376/6250

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rice University

10. Sun, Peng. STRAIN-SENSING SMART SKIN FOR STRUCTURAL HEALTH MONITORING.

Degree: PhD, Engineering, 2017, Rice University

 Over the past twenty years, many structural health monitoring strategies and damage detection techniques/methods have been proposed. Traditional technologies used for measuring strain, such as… (more)

Subjects/Keywords: Structural health monitoring; full-field strain sensing; non-contact; SWCNTs; fluorescence; damage identification

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APA (6th Edition):

Sun, P. (2017). STRAIN-SENSING SMART SKIN FOR STRUCTURAL HEALTH MONITORING. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/96056

Chicago Manual of Style (16th Edition):

Sun, Peng. “STRAIN-SENSING SMART SKIN FOR STRUCTURAL HEALTH MONITORING.” 2017. Doctoral Dissertation, Rice University. Accessed October 21, 2019. http://hdl.handle.net/1911/96056.

MLA Handbook (7th Edition):

Sun, Peng. “STRAIN-SENSING SMART SKIN FOR STRUCTURAL HEALTH MONITORING.” 2017. Web. 21 Oct 2019.

Vancouver:

Sun P. STRAIN-SENSING SMART SKIN FOR STRUCTURAL HEALTH MONITORING. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1911/96056.

Council of Science Editors:

Sun P. STRAIN-SENSING SMART SKIN FOR STRUCTURAL HEALTH MONITORING. [Doctoral Dissertation]. Rice University; 2017. Available from: http://hdl.handle.net/1911/96056


Rice University

11. Yang, Yongchao. Harnessing data structure for health monitoring and assessment of civil structures: sparse representation and low-rank structure.

Degree: PhD, Engineering, 2014, Rice University

 Civil structures are subjected to ambient loads, natural hazards, and man-made extreme events, which can cause deterioration, damage, and even catastrophic failure of structures. Dense… (more)

Subjects/Keywords: Structural health monitoring; system identification; damage detection; data-driven methods; sparse representation; blind source separation

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APA (6th Edition):

Yang, Y. (2014). Harnessing data structure for health monitoring and assessment of civil structures: sparse representation and low-rank structure. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/87779

Chicago Manual of Style (16th Edition):

Yang, Yongchao. “Harnessing data structure for health monitoring and assessment of civil structures: sparse representation and low-rank structure.” 2014. Doctoral Dissertation, Rice University. Accessed October 21, 2019. http://hdl.handle.net/1911/87779.

MLA Handbook (7th Edition):

Yang, Yongchao. “Harnessing data structure for health monitoring and assessment of civil structures: sparse representation and low-rank structure.” 2014. Web. 21 Oct 2019.

Vancouver:

Yang Y. Harnessing data structure for health monitoring and assessment of civil structures: sparse representation and low-rank structure. [Internet] [Doctoral dissertation]. Rice University; 2014. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1911/87779.

Council of Science Editors:

Yang Y. Harnessing data structure for health monitoring and assessment of civil structures: sparse representation and low-rank structure. [Doctoral Dissertation]. Rice University; 2014. Available from: http://hdl.handle.net/1911/87779


University of Southern California

12. Jafarkhani, Reza. Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures.

Degree: PhD, Civil Engineering (Structural Engineering), 2013, University of Southern California

 Civil infrastructures play a vital role in human societies. Recent catastrophic events due to the deficiency, failure or malfunction of these systems, claiming many lives… (more)

Subjects/Keywords: structural dynamics; system identification; damage detection; nonlinear systems; finite element model updating; optimization; neural networks

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APA (6th Edition):

Jafarkhani, R. (2013). Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/239394/rec/6153

Chicago Manual of Style (16th Edition):

Jafarkhani, Reza. “Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/239394/rec/6153.

MLA Handbook (7th Edition):

Jafarkhani, Reza. “Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures.” 2013. Web. 21 Oct 2019.

Vancouver:

Jafarkhani R. Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/239394/rec/6153.

Council of Science Editors:

Jafarkhani R. Studies into vibration-signature-based methods for system identification, damage detection and health monitoring of civil infrastructures. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/239394/rec/6153


University of Alabama

13. Seki, Daigo. A novel damage index for fatigue damage detection in a laminated composites using lamb waves.

Degree: 2015, University of Alabama

 A well-established structural health monitoring (SHM) technique, the Lamb wave based approach, is used for fatigue damage identification in a laminated composite. A novel damage(more)

Subjects/Keywords: Electronic Thesis or Dissertation;  – thesis; Aerospace engineering; Mechanical engineering; damage index; fatigue damage identification; Lamb wave; laminated composites; structural health monitoring

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APA (6th Edition):

Seki, D. (2015). A novel damage index for fatigue damage detection in a laminated composites using lamb waves. (Thesis). University of Alabama. Retrieved from http://purl.lib.ua.edu/131895

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Seki, Daigo. “A novel damage index for fatigue damage detection in a laminated composites using lamb waves.” 2015. Thesis, University of Alabama. Accessed October 21, 2019. http://purl.lib.ua.edu/131895.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Seki, Daigo. “A novel damage index for fatigue damage detection in a laminated composites using lamb waves.” 2015. Web. 21 Oct 2019.

Vancouver:

Seki D. A novel damage index for fatigue damage detection in a laminated composites using lamb waves. [Internet] [Thesis]. University of Alabama; 2015. [cited 2019 Oct 21]. Available from: http://purl.lib.ua.edu/131895.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Seki D. A novel damage index for fatigue damage detection in a laminated composites using lamb waves. [Thesis]. University of Alabama; 2015. Available from: http://purl.lib.ua.edu/131895

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Utah State University

14. Xing, Shutao. Structural Identification and Damage Identification using Output-Only Vibration Measurements.

Degree: PhD, Civil and Environmental Engineering, 2011, Utah State University

  This dissertation studied the structural identification and damage detection of civil engineering structures. Several issues regarding structural health monitoring were addressed. The data-driven subspace… (more)

Subjects/Keywords: Bridge Health Monitoring; Damage Identification; Delamination Detection; Finite Element Modeling; Structural Pounding; Substructural Identification; Civil and Environmental Engineering

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APA (6th Edition):

Xing, S. (2011). Structural Identification and Damage Identification using Output-Only Vibration Measurements. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/1067

Chicago Manual of Style (16th Edition):

Xing, Shutao. “Structural Identification and Damage Identification using Output-Only Vibration Measurements.” 2011. Doctoral Dissertation, Utah State University. Accessed October 21, 2019. https://digitalcommons.usu.edu/etd/1067.

MLA Handbook (7th Edition):

Xing, Shutao. “Structural Identification and Damage Identification using Output-Only Vibration Measurements.” 2011. Web. 21 Oct 2019.

Vancouver:

Xing S. Structural Identification and Damage Identification using Output-Only Vibration Measurements. [Internet] [Doctoral dissertation]. Utah State University; 2011. [cited 2019 Oct 21]. Available from: https://digitalcommons.usu.edu/etd/1067.

Council of Science Editors:

Xing S. Structural Identification and Damage Identification using Output-Only Vibration Measurements. [Doctoral Dissertation]. Utah State University; 2011. Available from: https://digitalcommons.usu.edu/etd/1067


University of Kansas

15. Asadollahi, Parisa. Bayesian-based Finite Element Model Updating, Damage Detection, and Uncertainty Quantification for Cable-stayed Bridges.

Degree: PhD, Civil, Environmental & Architectural Engineering, 2018, University of Kansas

 Long-span bridges are important components of civil infrastructure systems because they are vital links in transportation systems. Therefore, as bridge systems age, understanding the safety… (more)

Subjects/Keywords: Engineering; Bayesian Finite Element Model Updating; Cable-stayed Bridges; Sparse Bayesian Learning; Structural Damage Detection; Structural Health Monitoring; System identification

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APA (6th Edition):

Asadollahi, P. (2018). Bayesian-based Finite Element Model Updating, Damage Detection, and Uncertainty Quantification for Cable-stayed Bridges. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/27815

Chicago Manual of Style (16th Edition):

Asadollahi, Parisa. “Bayesian-based Finite Element Model Updating, Damage Detection, and Uncertainty Quantification for Cable-stayed Bridges.” 2018. Doctoral Dissertation, University of Kansas. Accessed October 21, 2019. http://hdl.handle.net/1808/27815.

MLA Handbook (7th Edition):

Asadollahi, Parisa. “Bayesian-based Finite Element Model Updating, Damage Detection, and Uncertainty Quantification for Cable-stayed Bridges.” 2018. Web. 21 Oct 2019.

Vancouver:

Asadollahi P. Bayesian-based Finite Element Model Updating, Damage Detection, and Uncertainty Quantification for Cable-stayed Bridges. [Internet] [Doctoral dissertation]. University of Kansas; 2018. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1808/27815.

Council of Science Editors:

Asadollahi P. Bayesian-based Finite Element Model Updating, Damage Detection, and Uncertainty Quantification for Cable-stayed Bridges. [Doctoral Dissertation]. University of Kansas; 2018. Available from: http://hdl.handle.net/1808/27815


University of Western Australia

16. Wang, Ying. Damage identification and assessment of civil infrastructure using local and global methods.

Degree: PhD, 2009, University of Western Australia

 [Truncated abstract] Structural health monitoring methods can be generally classified as either local or global. Global methods are based on relatively low-frequency vibration measurements of… (more)

Subjects/Keywords: Clonal selection theory; Spectral theory (Mathematics); Structural analysis (Engineering); Structural dynamics; Structural engineering; Structural failures; Integrated health monitoring; Guided wave; Spectral element method; Model updating; Damage identification; Clonal selection algorithm

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APA (6th Edition):

Wang, Y. (2009). Damage identification and assessment of civil infrastructure using local and global methods. (Doctoral Dissertation). University of Western Australia. Retrieved from http://repository.uwa.edu.au/R/-?func=dbin-jump-full&local_base=GEN01-INS01&object_id= ; http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=29406&local_base=GEN01-INS01

Chicago Manual of Style (16th Edition):

Wang, Ying. “Damage identification and assessment of civil infrastructure using local and global methods.” 2009. Doctoral Dissertation, University of Western Australia. Accessed October 21, 2019. http://repository.uwa.edu.au/R/-?func=dbin-jump-full&local_base=GEN01-INS01&object_id= ; http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=29406&local_base=GEN01-INS01.

MLA Handbook (7th Edition):

Wang, Ying. “Damage identification and assessment of civil infrastructure using local and global methods.” 2009. Web. 21 Oct 2019.

Vancouver:

Wang Y. Damage identification and assessment of civil infrastructure using local and global methods. [Internet] [Doctoral dissertation]. University of Western Australia; 2009. [cited 2019 Oct 21]. Available from: http://repository.uwa.edu.au/R/-?func=dbin-jump-full&local_base=GEN01-INS01&object_id= ; http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=29406&local_base=GEN01-INS01.

Council of Science Editors:

Wang Y. Damage identification and assessment of civil infrastructure using local and global methods. [Doctoral Dissertation]. University of Western Australia; 2009. Available from: http://repository.uwa.edu.au/R/-?func=dbin-jump-full&local_base=GEN01-INS01&object_id= ; http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=29406&local_base=GEN01-INS01

17. Κοψαυτόπουλος, Φώτης. Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures.

Degree: 2012, University of Patras; Πανεπιστήμιο Πατρών

 The past 30 years have witnessed major developments in vibration based damage detection and identi fication, also collectively referred to as damage diagnosis. Moreover, the… (more)

Subjects/Keywords: Διάγνωση βλαβών; Ανίχνευση βλαβών; Εντοπισμός βλαβών; Παρακολούθηση υγείας κατασκευών; Στοχαστικά μοντέλα; Στατιστικές μέθοδοι χρονοσειρών; Αναγνώριση συστημάτων; Δυναμικά συστήματα; Ταλαντωτικές μέθοδοι; Μορφική ανάλυση; Μοντέλα ARX/ARMAX; Πολλαπλά σημεία λειτουργίας; Damage diagnosis; Damage detection; Damage identification; Damage localization; Damage quantification; Structural health monitoring; System identification; Stochastic models; Time series models; Multiple operating conditions; ARX/ARMAX models; Structural identification

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APA (6th Edition):

Κοψαυτόπουλος, . . (2012). Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures. (Thesis). University of Patras; Πανεπιστήμιο Πατρών. Retrieved from http://hdl.handle.net/10442/hedi/28537

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Κοψαυτόπουλος, Φώτης. “Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures.” 2012. Thesis, University of Patras; Πανεπιστήμιο Πατρών. Accessed October 21, 2019. http://hdl.handle.net/10442/hedi/28537.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Κοψαυτόπουλος, Φώτης. “Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures.” 2012. Web. 21 Oct 2019.

Vancouver:

Κοψαυτόπουλος . Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures. [Internet] [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2012. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10442/hedi/28537.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Κοψαυτόπουλος . Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures. [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2012. Available from: http://hdl.handle.net/10442/hedi/28537

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Κοψαυτόπουλος, Φώτης. Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures.

Degree: 2012, University of Patras

 The past 30 years have witnessed major developments in vibration based damage detection and identification, also collectively referred to as damage diagnosis. Moreover, the past… (more)

Subjects/Keywords: Damage diagnosis; Damage detection; Damage identification; Damage localization; Damage quantification; Structural health monitoring; System identification; Stochastic models; Time series models; Multiple operating conditions; ARX/ARMAX models; Structural identification; 620.86; Διάγνωση βλαβών; Ανίχνευση βλαβών; Εντοπισμός βλαβών; Παρακολούθηση υγείας κατασκευών; Στοχαστικά μοντέλα; Στατιστικές μέθοδοι χρονοσειρών; Αναγνώριση συστημάτων; Δυναμικά συστήματα; Ταλαντωτικές μέθοδοι; Μορφική ανάλυση; Μοντέλα ARX/ARMAX; Πολλαπλά σημεία λειτουργίας

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Κοψαυτόπουλος, . (2012). Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures. (Doctoral Dissertation). University of Patras. Retrieved from http://hdl.handle.net/10889/5828

Chicago Manual of Style (16th Edition):

Κοψαυτόπουλος, Φώτης. “Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures.” 2012. Doctoral Dissertation, University of Patras. Accessed October 21, 2019. http://hdl.handle.net/10889/5828.

MLA Handbook (7th Edition):

Κοψαυτόπουλος, Φώτης. “Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures.” 2012. Web. 21 Oct 2019.

Vancouver:

Κοψαυτόπουλος . Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures. [Internet] [Doctoral dissertation]. University of Patras; 2012. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10889/5828.

Council of Science Editors:

Κοψαυτόπουλος . Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures. [Doctoral Dissertation]. University of Patras; 2012. Available from: http://hdl.handle.net/10889/5828


University of Technology, Sydney

19. Makki Alamdari, M. Vibration-based structural health monitoring.

Degree: 2015, University of Technology, Sydney

 Ageing and degradation of the infrastructures, especially critical infrastructures (such as power plants, high-rise buildings, long-span bridges, dams, airports, railway tracks, etc.) impose a major… (more)

Subjects/Keywords: Structural health monitoring (SHM).; Vibration-based monitoring.; Public safety.; Critical infrastructures.; Prediction of remaining service life.; Scheme of damage identification.; Damage detection.; Damage localisation.

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APA (6th Edition):

Makki Alamdari, M. (2015). Vibration-based structural health monitoring. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/38984

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Makki Alamdari, M. “Vibration-based structural health monitoring.” 2015. Thesis, University of Technology, Sydney. Accessed October 21, 2019. http://hdl.handle.net/10453/38984.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Makki Alamdari, M. “Vibration-based structural health monitoring.” 2015. Web. 21 Oct 2019.

Vancouver:

Makki Alamdari M. Vibration-based structural health monitoring. [Internet] [Thesis]. University of Technology, Sydney; 2015. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10453/38984.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Makki Alamdari M. Vibration-based structural health monitoring. [Thesis]. University of Technology, Sydney; 2015. Available from: http://hdl.handle.net/10453/38984

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. WANG XIAOJUAN. Parameter Identification with Unknown Input and Incomplete Measurements.

Degree: 2012, National University of Singapore

Subjects/Keywords: Structural health monitoring; Damage detection; Structural identification; Substructural identification; Unknown input; Incomplete measurements

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APA (6th Edition):

XIAOJUAN, W. (2012). Parameter Identification with Unknown Input and Incomplete Measurements. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/36365

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

XIAOJUAN, WANG. “Parameter Identification with Unknown Input and Incomplete Measurements.” 2012. Thesis, National University of Singapore. Accessed October 21, 2019. http://scholarbank.nus.edu.sg/handle/10635/36365.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

XIAOJUAN, WANG. “Parameter Identification with Unknown Input and Incomplete Measurements.” 2012. Web. 21 Oct 2019.

Vancouver:

XIAOJUAN W. Parameter Identification with Unknown Input and Incomplete Measurements. [Internet] [Thesis]. National University of Singapore; 2012. [cited 2019 Oct 21]. Available from: http://scholarbank.nus.edu.sg/handle/10635/36365.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

XIAOJUAN W. Parameter Identification with Unknown Input and Incomplete Measurements. [Thesis]. National University of Singapore; 2012. Available from: http://scholarbank.nus.edu.sg/handle/10635/36365

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

21. Krishnan, N Gopala. Identification Tools For Smeared Damage With Application To Reinforced Concrete Structural Elements.

Degree: 2009, Indian Institute of Science

 Countries world-over have thousands of critical structures and bridges which have been built decades back when strength-based designs were the order of the day. Over… (more)

Subjects/Keywords: Reinforced Concrete Structures; Damage Analysis (Civil Engineering); Concrete Beams - Damage Identification; Reinforced Concrete Beams; Structural Health Monitoring; Concrete Structures - Damage; Wavelet Analysis; Damage Indicators; Seismic Damage; Radial Basis Function Network (RBFN); Structural Engineering

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APA (6th Edition):

Krishnan, N. G. (2009). Identification Tools For Smeared Damage With Application To Reinforced Concrete Structural Elements. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/988

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Krishnan, N Gopala. “Identification Tools For Smeared Damage With Application To Reinforced Concrete Structural Elements.” 2009. Thesis, Indian Institute of Science. Accessed October 21, 2019. http://hdl.handle.net/2005/988.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Krishnan, N Gopala. “Identification Tools For Smeared Damage With Application To Reinforced Concrete Structural Elements.” 2009. Web. 21 Oct 2019.

Vancouver:

Krishnan NG. Identification Tools For Smeared Damage With Application To Reinforced Concrete Structural Elements. [Internet] [Thesis]. Indian Institute of Science; 2009. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/2005/988.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krishnan NG. Identification Tools For Smeared Damage With Application To Reinforced Concrete Structural Elements. [Thesis]. Indian Institute of Science; 2009. Available from: http://hdl.handle.net/2005/988

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Edinburgh

22. Hou, Chuanchuan. Vibration-based damage identification with enhanced frequency dataset and a cracked beam element model.

Degree: PhD, 2016, University of Edinburgh

Damage identification is an important topic in structural assessment and structural health monitoring (SHM). Vibration-based identification techniques use modal data to identify the existence, location… (more)

Subjects/Keywords: 620.1; structural health monitoring; damage identification; artificial boundary condition; crack beam element model; modal estimation; box section beam

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APA (6th Edition):

Hou, C. (2016). Vibration-based damage identification with enhanced frequency dataset and a cracked beam element model. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/20434

Chicago Manual of Style (16th Edition):

Hou, Chuanchuan. “Vibration-based damage identification with enhanced frequency dataset and a cracked beam element model.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed October 21, 2019. http://hdl.handle.net/1842/20434.

MLA Handbook (7th Edition):

Hou, Chuanchuan. “Vibration-based damage identification with enhanced frequency dataset and a cracked beam element model.” 2016. Web. 21 Oct 2019.

Vancouver:

Hou C. Vibration-based damage identification with enhanced frequency dataset and a cracked beam element model. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1842/20434.

Council of Science Editors:

Hou C. Vibration-based damage identification with enhanced frequency dataset and a cracked beam element model. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/20434

23. TEE KONG FAH. Substructural identification with incomplete measurement for structural damage assessment.

Degree: 2004, National University of Singapore

Subjects/Keywords: System identification; damage; structural dynamics; condensation; numerical analysis; experiment

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APA (6th Edition):

FAH, T. K. (2004). Substructural identification with incomplete measurement for structural damage assessment. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/14314

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

FAH, TEE KONG. “Substructural identification with incomplete measurement for structural damage assessment.” 2004. Thesis, National University of Singapore. Accessed October 21, 2019. http://scholarbank.nus.edu.sg/handle/10635/14314.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

FAH, TEE KONG. “Substructural identification with incomplete measurement for structural damage assessment.” 2004. Web. 21 Oct 2019.

Vancouver:

FAH TK. Substructural identification with incomplete measurement for structural damage assessment. [Internet] [Thesis]. National University of Singapore; 2004. [cited 2019 Oct 21]. Available from: http://scholarbank.nus.edu.sg/handle/10635/14314.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

FAH TK. Substructural identification with incomplete measurement for structural damage assessment. [Thesis]. National University of Singapore; 2004. Available from: http://scholarbank.nus.edu.sg/handle/10635/14314

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Arizona

24. Al-Hussein, Abdullah Abdulamir. A Novel Technique for Structural Health Assessment in the Presence of Nonlinearity .

Degree: 2015, University of Arizona

 A novel structural health assessment (SHA) technique is proposed. It is a finite element-based time domain nonlinear system identification technique. The procedure is developed in… (more)

Subjects/Keywords: Extended Kalman filter; Nonlinear system identification; Structural health assessment; Unknown input; Unscented Kalman filter; Civil Engineering; Damage detection

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APA (6th Edition):

Al-Hussein, A. A. (2015). A Novel Technique for Structural Health Assessment in the Presence of Nonlinearity . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/578896

Chicago Manual of Style (16th Edition):

Al-Hussein, Abdullah Abdulamir. “A Novel Technique for Structural Health Assessment in the Presence of Nonlinearity .” 2015. Doctoral Dissertation, University of Arizona. Accessed October 21, 2019. http://hdl.handle.net/10150/578896.

MLA Handbook (7th Edition):

Al-Hussein, Abdullah Abdulamir. “A Novel Technique for Structural Health Assessment in the Presence of Nonlinearity .” 2015. Web. 21 Oct 2019.

Vancouver:

Al-Hussein AA. A Novel Technique for Structural Health Assessment in the Presence of Nonlinearity . [Internet] [Doctoral dissertation]. University of Arizona; 2015. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10150/578896.

Council of Science Editors:

Al-Hussein AA. A Novel Technique for Structural Health Assessment in the Presence of Nonlinearity . [Doctoral Dissertation]. University of Arizona; 2015. Available from: http://hdl.handle.net/10150/578896


Queensland University of Technology

25. Wahalathantri, Buddhi Lankananda. Damage assessment in reinforced concrete flexural members using modal strain energy based method.

Degree: 2012, Queensland University of Technology

Damage assessment (damage detection, localization and quantification) in structures and appropriate retrofitting will enable the safe and efficient function of the structures. In this context,… (more)

Subjects/Keywords: modal strain energy based method, reinforced concrete, flexural members, flexural cracks, damage assessment, damage detection, damage localization, damaged plasticity model, damage index method, vibration based damage identification technique; structural health monitoring, MATLAB based program

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APA (6th Edition):

Wahalathantri, B. L. (2012). Damage assessment in reinforced concrete flexural members using modal strain energy based method. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/59509/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wahalathantri, Buddhi Lankananda. “Damage assessment in reinforced concrete flexural members using modal strain energy based method.” 2012. Thesis, Queensland University of Technology. Accessed October 21, 2019. https://eprints.qut.edu.au/59509/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wahalathantri, Buddhi Lankananda. “Damage assessment in reinforced concrete flexural members using modal strain energy based method.” 2012. Web. 21 Oct 2019.

Vancouver:

Wahalathantri BL. Damage assessment in reinforced concrete flexural members using modal strain energy based method. [Internet] [Thesis]. Queensland University of Technology; 2012. [cited 2019 Oct 21]. Available from: https://eprints.qut.edu.au/59509/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wahalathantri BL. Damage assessment in reinforced concrete flexural members using modal strain energy based method. [Thesis]. Queensland University of Technology; 2012. Available from: https://eprints.qut.edu.au/59509/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Canterbury

26. Rodgers, G.W. Nonlinear Regression Based Health Monitoring of Hysteretic Structures under Seismic Excitation.

Degree: Mechanical Engineering, 2015, University of Canterbury

 This paper presents a health monitoring method using measured hysteretic responses. Acceleration and infrequently measured displacement are integrated using a multirate Kalman filtering method to… (more)

Subjects/Keywords: structural health monitoring; nonlinear regression; hysteresis loops; damage identification; system identification; Field of Research::09 - Engineering::0905 - Civil Engineering::090504 - Earthquake Engineering; Field of Research::09 - Engineering::0905 - Civil Engineering::090506 - Structural Engineering

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APA (6th Edition):

Rodgers, G. W. (2015). Nonlinear Regression Based Health Monitoring of Hysteretic Structures under Seismic Excitation. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/11744

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rodgers, G W. “Nonlinear Regression Based Health Monitoring of Hysteretic Structures under Seismic Excitation.” 2015. Thesis, University of Canterbury. Accessed October 21, 2019. http://hdl.handle.net/10092/11744.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rodgers, G W. “Nonlinear Regression Based Health Monitoring of Hysteretic Structures under Seismic Excitation.” 2015. Web. 21 Oct 2019.

Vancouver:

Rodgers GW. Nonlinear Regression Based Health Monitoring of Hysteretic Structures under Seismic Excitation. [Internet] [Thesis]. University of Canterbury; 2015. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10092/11744.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rodgers GW. Nonlinear Regression Based Health Monitoring of Hysteretic Structures under Seismic Excitation. [Thesis]. University of Canterbury; 2015. Available from: http://hdl.handle.net/10092/11744

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Canterbury

27. Singh-Levett, Ishan. Real-time integral based structural health monitoring.

Degree: Mechanical Engineering, 2006, University of Canterbury

Structural Health Monitoring (SHM) is a means of identifying damage from the structural response to environmental loads. Real-time SHM offers rapid assessment of structural safety… (more)

Subjects/Keywords: structural health monitoring; real-time; integral; damage identification; permanent displacement

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APA (6th Edition):

Singh-Levett, I. (2006). Real-time integral based structural health monitoring. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/1171

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Singh-Levett, Ishan. “Real-time integral based structural health monitoring.” 2006. Thesis, University of Canterbury. Accessed October 21, 2019. http://hdl.handle.net/10092/1171.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Singh-Levett, Ishan. “Real-time integral based structural health monitoring.” 2006. Web. 21 Oct 2019.

Vancouver:

Singh-Levett I. Real-time integral based structural health monitoring. [Internet] [Thesis]. University of Canterbury; 2006. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10092/1171.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Singh-Levett I. Real-time integral based structural health monitoring. [Thesis]. University of Canterbury; 2006. Available from: http://hdl.handle.net/10092/1171

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cal Poly

28. Rosenblatt, William George. Structural Damage Detection By Comparison of Experimental And Theoretical Mode Shapes.

Degree: MS, Architecture, 2016, Cal Poly

  Existing methods of evaluating the structural system of a building after a seismic event consist of removing architectural elements such as drywall, cladding, insulation,… (more)

Subjects/Keywords: Structural Damage Detection; System Identification; Experimental Modal Analysis; Modal Assurance Criterion (MAC); Forced Vibration Testing (FVT); Post Earthquake Assessment; Architectural Engineering; Civil Engineering

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APA (6th Edition):

Rosenblatt, W. G. (2016). Structural Damage Detection By Comparison of Experimental And Theoretical Mode Shapes. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/1536 ; 10.15368/theses.2016.9

Chicago Manual of Style (16th Edition):

Rosenblatt, William George. “Structural Damage Detection By Comparison of Experimental And Theoretical Mode Shapes.” 2016. Masters Thesis, Cal Poly. Accessed October 21, 2019. https://digitalcommons.calpoly.edu/theses/1536 ; 10.15368/theses.2016.9.

MLA Handbook (7th Edition):

Rosenblatt, William George. “Structural Damage Detection By Comparison of Experimental And Theoretical Mode Shapes.” 2016. Web. 21 Oct 2019.

Vancouver:

Rosenblatt WG. Structural Damage Detection By Comparison of Experimental And Theoretical Mode Shapes. [Internet] [Masters thesis]. Cal Poly; 2016. [cited 2019 Oct 21]. Available from: https://digitalcommons.calpoly.edu/theses/1536 ; 10.15368/theses.2016.9.

Council of Science Editors:

Rosenblatt WG. Structural Damage Detection By Comparison of Experimental And Theoretical Mode Shapes. [Masters Thesis]. Cal Poly; 2016. Available from: https://digitalcommons.calpoly.edu/theses/1536 ; 10.15368/theses.2016.9

29. Elbadawy, Mohamed Mohamed Zeinelabdin Mohamed. Dynamic Strain Measurement Based Damage Identification for Structural Health Monitoring.

Degree: PhD, Engineering Science and Mechanics, 2018, Virginia Tech

Structural Health Monitoring (SHM) is a non-destructive evaluation tool that assesses the functionality of structural systems that are used in the civil, mechanical and aerospace… (more)

Subjects/Keywords: structural health monitoring; structural frames; strain response; damage identification; stiffness identification; modal approach; strain mode shapes; damage localization; flexibility-based damage identification; optimal sensor placement

…Güemes 2013). The first step of damage identification is at the core of any structural… …use in structural damage identification. 5 As the structural damage is often associated… …damage identification, due to its high sensitivity to the little changes in structural response… …efficient structural damage identification. 1.2. Current Study The primary objective of this… …identification of damage in building and other structural systems that consist of interconnected beam… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Elbadawy, M. M. Z. M. (2018). Dynamic Strain Measurement Based Damage Identification for Structural Health Monitoring. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86167

Chicago Manual of Style (16th Edition):

Elbadawy, Mohamed Mohamed Zeinelabdin Mohamed. “Dynamic Strain Measurement Based Damage Identification for Structural Health Monitoring.” 2018. Doctoral Dissertation, Virginia Tech. Accessed October 21, 2019. http://hdl.handle.net/10919/86167.

MLA Handbook (7th Edition):

Elbadawy, Mohamed Mohamed Zeinelabdin Mohamed. “Dynamic Strain Measurement Based Damage Identification for Structural Health Monitoring.” 2018. Web. 21 Oct 2019.

Vancouver:

Elbadawy MMZM. Dynamic Strain Measurement Based Damage Identification for Structural Health Monitoring. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10919/86167.

Council of Science Editors:

Elbadawy MMZM. Dynamic Strain Measurement Based Damage Identification for Structural Health Monitoring. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/86167


University of Canterbury

30. Chen, X.-Q. LMS-based approach to structural health monitoring of nonlinear hysteretic structures.

Degree: Civil and Natural Resources Engineering; University of Canterbury. Mechanical Engineering, 2011, University of Canterbury

Structural health monitoring (SHM) algorithms based on adaptive Least Mean Squares (LMS) filtering theory can directly identify time-varying changes in structural stiffness in realtime in… (more)

Subjects/Keywords: structural health monitoring (SHM); structural identification; damage detection; nonlinear hysteretic structures; the Bouc-Wen model; adaptive LMS filters; Field of Research::09 - Engineering::0905 - Civil Engineering::090506 - Structural Engineering; Field of Research::09 - Engineering::0905 - Civil Engineering::090504 - Earthquake Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, X. -. (2011). LMS-based approach to structural health monitoring of nonlinear hysteretic structures. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/6331

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, X -Q. “LMS-based approach to structural health monitoring of nonlinear hysteretic structures.” 2011. Thesis, University of Canterbury. Accessed October 21, 2019. http://hdl.handle.net/10092/6331.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, X -Q. “LMS-based approach to structural health monitoring of nonlinear hysteretic structures.” 2011. Web. 21 Oct 2019.

Vancouver:

Chen X-. LMS-based approach to structural health monitoring of nonlinear hysteretic structures. [Internet] [Thesis]. University of Canterbury; 2011. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10092/6331.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen X-. LMS-based approach to structural health monitoring of nonlinear hysteretic structures. [Thesis]. University of Canterbury; 2011. Available from: http://hdl.handle.net/10092/6331

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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