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You searched for subject:(Damage Identification). Showing records 1 – 30 of 113 total matches.

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Deakin University

1. Ay, Ali Mete. Impulse vibration based structural damage identification methods in time domain.

Degree: School of Engineering, 2017, Deakin University

 This study focused on impulse vibration data, acquired from civil infrastructures, for vibration-based damage identification. Research conducted, served to demonstrate the plausibility of combining robust… (more)

Subjects/Keywords: civil infrastructure; vibration-based damage identification (VBDI)

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APA (6th Edition):

Ay, A. M. (2017). Impulse vibration based structural damage identification methods in time domain. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30103717

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):

Ay, Ali Mete. “Impulse vibration based structural damage identification methods in time domain.” 2017. Thesis, Deakin University. Accessed September 29, 2020. http://hdl.handle.net/10536/DRO/DU:30103717.

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

MLA Handbook (7th Edition):

Ay, Ali Mete. “Impulse vibration based structural damage identification methods in time domain.” 2017. Web. 29 Sep 2020.

Vancouver:

Ay AM. Impulse vibration based structural damage identification methods in time domain. [Internet] [Thesis]. Deakin University; 2017. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/10536/DRO/DU:30103717.

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

Council of Science Editors:

Ay AM. Impulse vibration based structural damage identification methods in time domain. [Thesis]. Deakin University; 2017. Available from: http://hdl.handle.net/10536/DRO/DU:30103717

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


University of Manitoba

2. Zhao, Shengjie. Natural frequency based damage identification of beams using piezoelectric materials.

Degree: Mechanical Engineering, 2015, University of Manitoba

 Following the studies of natural frequency based damage detection methods, an advanced technique for damage detection and localization in beam-type structures using a vibration characteristic… (more)

Subjects/Keywords: Damage identification; Vibration characteristic tuning; Piezoelectric actuators

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APA (6th Edition):

Zhao, S. (2015). Natural frequency based damage identification of beams using piezoelectric materials. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/31652

Chicago Manual of Style (16th Edition):

Zhao, Shengjie. “Natural frequency based damage identification of beams using piezoelectric materials.” 2015. Masters Thesis, University of Manitoba. Accessed September 29, 2020. http://hdl.handle.net/1993/31652.

MLA Handbook (7th Edition):

Zhao, Shengjie. “Natural frequency based damage identification of beams using piezoelectric materials.” 2015. Web. 29 Sep 2020.

Vancouver:

Zhao S. Natural frequency based damage identification of beams using piezoelectric materials. [Internet] [Masters thesis]. University of Manitoba; 2015. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/1993/31652.

Council of Science Editors:

Zhao S. Natural frequency based damage identification of beams using piezoelectric materials. [Masters Thesis]. University of Manitoba; 2015. Available from: http://hdl.handle.net/1993/31652


Hong Kong University of Science and Technology

3. Wong, Tin Yan CHEM. Formation of apurinic/apyrimidinic site in nucleic acids and its DNA-protein cross-links.

Degree: 2017, Hong Kong University of Science and Technology

 Apurinic/apyrimidinic sites, also called the abasic sites, are the most commonly found lesions in DNA and they are reported to be mutagenic and carcinogenic. Abasic… (more)

Subjects/Keywords: DNA repair ; DNA damage ; Identification ; Proteins ; Crosslinking

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APA (6th Edition):

Wong, T. Y. C. (2017). Formation of apurinic/apyrimidinic site in nucleic acids and its DNA-protein cross-links. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-91195 ; https://doi.org/10.14711/thesis-991012564468403412 ; http://repository.ust.hk/ir/bitstream/1783.1-91195/1/th_redirect.html

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):

Wong, Tin Yan CHEM. “Formation of apurinic/apyrimidinic site in nucleic acids and its DNA-protein cross-links.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed September 29, 2020. http://repository.ust.hk/ir/Record/1783.1-91195 ; https://doi.org/10.14711/thesis-991012564468403412 ; http://repository.ust.hk/ir/bitstream/1783.1-91195/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Wong, Tin Yan CHEM. “Formation of apurinic/apyrimidinic site in nucleic acids and its DNA-protein cross-links.” 2017. Web. 29 Sep 2020.

Vancouver:

Wong TYC. Formation of apurinic/apyrimidinic site in nucleic acids and its DNA-protein cross-links. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2020 Sep 29]. Available from: http://repository.ust.hk/ir/Record/1783.1-91195 ; https://doi.org/10.14711/thesis-991012564468403412 ; http://repository.ust.hk/ir/bitstream/1783.1-91195/1/th_redirect.html.

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

Council of Science Editors:

Wong TYC. Formation of apurinic/apyrimidinic site in nucleic acids and its DNA-protein cross-links. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: http://repository.ust.hk/ir/Record/1783.1-91195 ; https://doi.org/10.14711/thesis-991012564468403412 ; http://repository.ust.hk/ir/bitstream/1783.1-91195/1/th_redirect.html

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


Texas A&M University

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

Degree: MS, Civil Engineering, 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. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7501

Chicago Manual of Style (16th Edition):

You, Taesun. “Iterative Damage Index Method for Structural Health Monitoring.” 2011. Masters Thesis, Texas A&M University. Accessed September 29, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7501.

MLA Handbook (7th Edition):

You, Taesun. “Iterative Damage Index Method for Structural Health Monitoring.” 2011. Web. 29 Sep 2020.

Vancouver:

You T. Iterative Damage Index Method for Structural Health Monitoring. [Internet] [Masters thesis]. Texas A&M University; 2011. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7501.

Council of Science Editors:

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

5. 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 September 29, 2020. http://scholar.uwindsor.ca/etd/4825.

MLA Handbook (7th Edition):

Li, Li. “Damage and material identification using inverse analysis.” 2012. Web. 29 Sep 2020.

Vancouver:

Li L. Damage and material identification using inverse analysis. [Internet] [Doctoral dissertation]. National Library of Canada; 2012. [cited 2020 Sep 29]. 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


Queensland University of Technology

6. Bandara, Arachchillage Rupika Priyadarshani. Damage identification and condition assessment of building structures using frequency response functions and neural networks.

Degree: 2013, Queensland University of Technology

 This thesis investigated the viability of using Frequency Response Functions in combination with Artificial Neural Network technique in damage assessment of building structures. The proposed… (more)

Subjects/Keywords: Artificial Neural Network; Frequency Response Functions; Principal Component Analysis; Damage detection; Damage Location Identification

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APA (6th Edition):

Bandara, A. R. P. (2013). Damage identification and condition assessment of building structures using frequency response functions and neural networks. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/61196/

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):

Bandara, Arachchillage Rupika Priyadarshani. “Damage identification and condition assessment of building structures using frequency response functions and neural networks.” 2013. Thesis, Queensland University of Technology. Accessed September 29, 2020. https://eprints.qut.edu.au/61196/.

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

MLA Handbook (7th Edition):

Bandara, Arachchillage Rupika Priyadarshani. “Damage identification and condition assessment of building structures using frequency response functions and neural networks.” 2013. Web. 29 Sep 2020.

Vancouver:

Bandara ARP. Damage identification and condition assessment of building structures using frequency response functions and neural networks. [Internet] [Thesis]. Queensland University of Technology; 2013. [cited 2020 Sep 29]. Available from: https://eprints.qut.edu.au/61196/.

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

Council of Science Editors:

Bandara ARP. Damage identification and condition assessment of building structures using frequency response functions and neural networks. [Thesis]. Queensland University of Technology; 2013. Available from: https://eprints.qut.edu.au/61196/

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


University of California – San Diego

7. 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 September 29, 2020. 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. 29 Sep 2020.

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 2020 Sep 29]. 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


Virginia Tech

8. Bisht, Saurabh Singh. Vibration Measurement Based Damage Identification for Structural Health Monitoring.

Degree: PhD, Engineering Science and Mechanics, 2010, Virginia Tech

 The focus of this research is on the development of vibration response-based damage detection in civil engineering structures. Modal parameter-based and model identification-based approaches have… (more)

Subjects/Keywords: damage identification; Gibb's phenomenon; unscented Kalman filter; flexibility

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APA (6th Edition):

Bisht, S. S. (2010). Vibration Measurement Based Damage Identification for Structural Health Monitoring. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77301

Chicago Manual of Style (16th Edition):

Bisht, Saurabh Singh. “Vibration Measurement Based Damage Identification for Structural Health Monitoring.” 2010. Doctoral Dissertation, Virginia Tech. Accessed September 29, 2020. http://hdl.handle.net/10919/77301.

MLA Handbook (7th Edition):

Bisht, Saurabh Singh. “Vibration Measurement Based Damage Identification for Structural Health Monitoring.” 2010. Web. 29 Sep 2020.

Vancouver:

Bisht SS. Vibration Measurement Based Damage Identification for Structural Health Monitoring. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/10919/77301.

Council of Science Editors:

Bisht SS. Vibration Measurement Based Damage Identification for Structural Health Monitoring. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/77301


University of Notre Dame

9. Kevin Leyden. System Monitoring by Tracking Fractional Order</h1>.

Degree: Aerospace and Mechanical Engineering, 2018, University of Notre Dame

  Mechanical systems are often combinations of many interacting components. Examples of such systems include gas turbines, washing machines, machine tools, and cars. These systems’… (more)

Subjects/Keywords: System identification; Frequency response; Damage detection; Health monitoring; Fractional calculus

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APA (6th Edition):

Leyden, K. (2018). System Monitoring by Tracking Fractional Order</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/37720c50p2z

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):

Leyden, Kevin. “System Monitoring by Tracking Fractional Order</h1>.” 2018. Thesis, University of Notre Dame. Accessed September 29, 2020. https://curate.nd.edu/show/37720c50p2z.

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

MLA Handbook (7th Edition):

Leyden, Kevin. “System Monitoring by Tracking Fractional Order</h1>.” 2018. Web. 29 Sep 2020.

Vancouver:

Leyden K. System Monitoring by Tracking Fractional Order</h1>. [Internet] [Thesis]. University of Notre Dame; 2018. [cited 2020 Sep 29]. Available from: https://curate.nd.edu/show/37720c50p2z.

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

Council of Science Editors:

Leyden K. System Monitoring by Tracking Fractional Order</h1>. [Thesis]. University of Notre Dame; 2018. Available from: https://curate.nd.edu/show/37720c50p2z

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


Delft University of Technology

10. Wang, Tianxiang (author). Application of Probabilistic Damage Identification to Civil Engineering Structures: A Marriage of Structural Health Monitoring and Bayesian Statistics.

Degree: 2018, Delft University of Technology

The rapid development in statistics, information technology, and computational power have en- abled numerous innovative methods to emerge in Structural Health Monitoring (SHM) for structural… (more)

Subjects/Keywords: Structural Health Monitoring (SHM); Damage Identification; Bayesian statistics; Information Content Analysis

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APA (6th Edition):

Wang, T. (. (2018). Application of Probabilistic Damage Identification to Civil Engineering Structures: A Marriage of Structural Health Monitoring and Bayesian Statistics. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:29d1069b-50e1-4776-a98f-e5c0ef56b83b

Chicago Manual of Style (16th Edition):

Wang, Tianxiang (author). “Application of Probabilistic Damage Identification to Civil Engineering Structures: A Marriage of Structural Health Monitoring and Bayesian Statistics.” 2018. Masters Thesis, Delft University of Technology. Accessed September 29, 2020. http://resolver.tudelft.nl/uuid:29d1069b-50e1-4776-a98f-e5c0ef56b83b.

MLA Handbook (7th Edition):

Wang, Tianxiang (author). “Application of Probabilistic Damage Identification to Civil Engineering Structures: A Marriage of Structural Health Monitoring and Bayesian Statistics.” 2018. Web. 29 Sep 2020.

Vancouver:

Wang T(. Application of Probabilistic Damage Identification to Civil Engineering Structures: A Marriage of Structural Health Monitoring and Bayesian Statistics. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Sep 29]. Available from: http://resolver.tudelft.nl/uuid:29d1069b-50e1-4776-a98f-e5c0ef56b83b.

Council of Science Editors:

Wang T(. Application of Probabilistic Damage Identification to Civil Engineering Structures: A Marriage of Structural Health Monitoring and Bayesian Statistics. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:29d1069b-50e1-4776-a98f-e5c0ef56b83b

11. De Los Rios Giraldo, Julian Octavio. Damage identification in skeletal structures: A dynamic stiffness approach .

Degree: 2017, University of Waikato

 The present work is devoted to investigate ways of identifying cracks in skeletal structures by frequency monitoring. This is a challenging problem as the number… (more)

Subjects/Keywords: Damage identification; Dynamic stiffness matrix; Closed-form solution; Inverse methods

Page 1 Page 2

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APA (6th Edition):

De Los Rios Giraldo, J. O. (2017). Damage identification in skeletal structures: A dynamic stiffness approach . (Doctoral Dissertation). University of Waikato. Retrieved from http://hdl.handle.net/10289/11424

Chicago Manual of Style (16th Edition):

De Los Rios Giraldo, Julian Octavio. “Damage identification in skeletal structures: A dynamic stiffness approach .” 2017. Doctoral Dissertation, University of Waikato. Accessed September 29, 2020. http://hdl.handle.net/10289/11424.

MLA Handbook (7th Edition):

De Los Rios Giraldo, Julian Octavio. “Damage identification in skeletal structures: A dynamic stiffness approach .” 2017. Web. 29 Sep 2020.

Vancouver:

De Los Rios Giraldo JO. Damage identification in skeletal structures: A dynamic stiffness approach . [Internet] [Doctoral dissertation]. University of Waikato; 2017. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/10289/11424.

Council of Science Editors:

De Los Rios Giraldo JO. Damage identification in skeletal structures: A dynamic stiffness approach . [Doctoral Dissertation]. University of Waikato; 2017. Available from: http://hdl.handle.net/10289/11424


University of Alabama

12. 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 September 29, 2020. 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. 29 Sep 2020.

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 2020 Sep 29]. 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

13. 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 September 29, 2020. https://digitalcommons.usu.edu/etd/1067.

MLA Handbook (7th Edition):

Xing, Shutao. “Structural Identification and Damage Identification using Output-Only Vibration Measurements.” 2011. Web. 29 Sep 2020.

Vancouver:

Xing S. Structural Identification and Damage Identification using Output-Only Vibration Measurements. [Internet] [Doctoral dissertation]. Utah State University; 2011. [cited 2020 Sep 29]. 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


The Ohio State University

14. Hong, Soonyoung. An effective data mining approach for structure damage indentification.

Degree: PhD, Aeronautical and Astronautical Engineering, 2007, The Ohio State University

 An efficient, neural network based, online nondestructive structural damage identification procedure is developed for determining the damage characteristics (the damage locations and the corresponding severity)… (more)

Subjects/Keywords: Structure Health Monitoring; Vibration Based Damage Identification; Principal Component Analysis; Modal Strain Energy

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APA (6th Edition):

Hong, S. (2007). An effective data mining approach for structure damage indentification. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1194903908

Chicago Manual of Style (16th Edition):

Hong, Soonyoung. “An effective data mining approach for structure damage indentification.” 2007. Doctoral Dissertation, The Ohio State University. Accessed September 29, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1194903908.

MLA Handbook (7th Edition):

Hong, Soonyoung. “An effective data mining approach for structure damage indentification.” 2007. Web. 29 Sep 2020.

Vancouver:

Hong S. An effective data mining approach for structure damage indentification. [Internet] [Doctoral dissertation]. The Ohio State University; 2007. [cited 2020 Sep 29]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1194903908.

Council of Science Editors:

Hong S. An effective data mining approach for structure damage indentification. [Doctoral Dissertation]. The Ohio State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1194903908

15. 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 September 29, 2020. 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. 29 Sep 2020.

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 2020 Sep 29]. 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


Virginia Tech

16. Altmann, Craig Tyler. Identification and Characterization of Damaging Road Events.

Degree: PhD, Mechanical Engineering, 2020, Virginia Tech

 In the automotive field determining the level of damage a typical production vehicle experiences over its lifetime has always been a desirable criterion to identify.… (more)

Subjects/Keywords: Pseudo Damage; Customer Usage; International Roughness Index (IRI); Event Identification; Event Characterization; Vehicle Durability

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

APA (6th Edition):

Altmann, C. T. (2020). Identification and Characterization of Damaging Road Events. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/98844

Chicago Manual of Style (16th Edition):

Altmann, Craig Tyler. “Identification and Characterization of Damaging Road Events.” 2020. Doctoral Dissertation, Virginia Tech. Accessed September 29, 2020. http://hdl.handle.net/10919/98844.

MLA Handbook (7th Edition):

Altmann, Craig Tyler. “Identification and Characterization of Damaging Road Events.” 2020. Web. 29 Sep 2020.

Vancouver:

Altmann CT. Identification and Characterization of Damaging Road Events. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/10919/98844.

Council of Science Editors:

Altmann CT. Identification and Characterization of Damaging Road Events. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/98844


Washington State University

17. [No author]. HEALTH MONITORING AND DAMAGE IDENTIFICATION OF COMPOSITE STRUCTURES .

Degree: 2011, Washington State University

 Structural health monitoring and damage identification method for composite beams and plate-type structures were studied in this dissertation, especially for fiber-reinforced plastic (FRP) sandwich beams… (more)

Subjects/Keywords: Civil engineering; composite strucuture; damage identification; FRP; modal analysis; sandwich structure; strucutral health monitoring

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

APA (6th Edition):

author], [. (2011). HEALTH MONITORING AND DAMAGE IDENTIFICATION OF COMPOSITE STRUCTURES . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/3029

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. “HEALTH MONITORING AND DAMAGE IDENTIFICATION OF COMPOSITE STRUCTURES .” 2011. Thesis, Washington State University. Accessed September 29, 2020. http://hdl.handle.net/2376/3029.

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. “HEALTH MONITORING AND DAMAGE IDENTIFICATION OF COMPOSITE STRUCTURES .” 2011. Web. 29 Sep 2020.

Vancouver:

author] [. HEALTH MONITORING AND DAMAGE IDENTIFICATION OF COMPOSITE STRUCTURES . [Internet] [Thesis]. Washington State University; 2011. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/2376/3029.

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

Council of Science Editors:

author] [. HEALTH MONITORING AND DAMAGE IDENTIFICATION OF COMPOSITE STRUCTURES . [Thesis]. Washington State University; 2011. Available from: http://hdl.handle.net/2376/3029

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


Washington State University

18. [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 September 29, 2020. 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. 29 Sep 2020.

Vancouver:

author] [. Active Lamb wave propagation-based damage identification in plate-like structures . [Internet] [Thesis]. Washington State University; 2015. [cited 2020 Sep 29]. 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


Northeastern University

19. Kunwar, Anshuman. System identification free damage localization.

Degree: PhD, Department of Civil and Environmental Engineering, 2017, Northeastern University

 One of the most widely used frameworks for vibration based structural damage identification involves characterizing damage as changes in the modal parameters of the structure… (more)

Subjects/Keywords: damage localization; free vibration; steady state; system identification; thin plate; wavelet transform

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APA (6th Edition):

Kunwar, A. (2017). System identification free damage localization. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20249116

Chicago Manual of Style (16th Edition):

Kunwar, Anshuman. “System identification free damage localization.” 2017. Doctoral Dissertation, Northeastern University. Accessed September 29, 2020. http://hdl.handle.net/2047/D20249116.

MLA Handbook (7th Edition):

Kunwar, Anshuman. “System identification free damage localization.” 2017. Web. 29 Sep 2020.

Vancouver:

Kunwar A. System identification free damage localization. [Internet] [Doctoral dissertation]. Northeastern University; 2017. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/2047/D20249116.

Council of Science Editors:

Kunwar A. System identification free damage localization. [Doctoral Dissertation]. Northeastern University; 2017. Available from: http://hdl.handle.net/2047/D20249116


University of Adelaide

20. Pudipeddi, Gnana Teja. Quantitative Structural Diagnosis of Plate-like Structures using Multi-frequency Lamb Wave Diffraction Tomography.

Degree: 2019, University of Adelaide

 Quantitative identification and evaluation of damage are of utmost importance for the safety and sustainability of a structure. Identifying early stage damage is also necessary… (more)

Subjects/Keywords: Lamb wave; diffraction tomography; imaging; multifrequency; damage identification; structural health monitoring; scattering

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APA (6th Edition):

Pudipeddi, G. T. (2019). Quantitative Structural Diagnosis of Plate-like Structures using Multi-frequency Lamb Wave Diffraction Tomography. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/123403

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):

Pudipeddi, Gnana Teja. “Quantitative Structural Diagnosis of Plate-like Structures using Multi-frequency Lamb Wave Diffraction Tomography.” 2019. Thesis, University of Adelaide. Accessed September 29, 2020. http://hdl.handle.net/2440/123403.

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

MLA Handbook (7th Edition):

Pudipeddi, Gnana Teja. “Quantitative Structural Diagnosis of Plate-like Structures using Multi-frequency Lamb Wave Diffraction Tomography.” 2019. Web. 29 Sep 2020.

Vancouver:

Pudipeddi GT. Quantitative Structural Diagnosis of Plate-like Structures using Multi-frequency Lamb Wave Diffraction Tomography. [Internet] [Thesis]. University of Adelaide; 2019. [cited 2020 Sep 29]. Available from: http://hdl.handle.net/2440/123403.

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

Council of Science Editors:

Pudipeddi GT. Quantitative Structural Diagnosis of Plate-like Structures using Multi-frequency Lamb Wave Diffraction Tomography. [Thesis]. University of Adelaide; 2019. Available from: http://hdl.handle.net/2440/123403

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


Rice University

21. 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 September 29, 2020. 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. 29 Sep 2020.

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 2020 Sep 29]. 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


Rice University

22. 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 September 29, 2020. http://hdl.handle.net/1911/96056.

MLA Handbook (7th Edition):

Sun, Peng. “STRAIN-SENSING SMART SKIN FOR STRUCTURAL HEALTH MONITORING.” 2017. Web. 29 Sep 2020.

Vancouver:

Sun P. STRAIN-SENSING SMART SKIN FOR STRUCTURAL HEALTH MONITORING. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2020 Sep 29]. 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


Delft University of Technology

23. Tatsis, K. (author). Structural Health Assessment through Vibration Monitoring on FPSOs.

Degree: 2016, Delft University of Technology

In the offshore oil and gas industry, production takes place at more and more remote locations, with Floating Production Storage Offloading units (FPSO’s) often being… (more)

Subjects/Keywords: FPSO; Structural Health Monitoring (SHM); Operational Modal Analysis (OMA); System identification; Damage detection

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APA (6th Edition):

Tatsis, K. (. (2016). Structural Health Assessment through Vibration Monitoring on FPSOs. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:525c32ae-89c1-437b-bbb2-fe2013c699b1

Chicago Manual of Style (16th Edition):

Tatsis, K (author). “Structural Health Assessment through Vibration Monitoring on FPSOs.” 2016. Masters Thesis, Delft University of Technology. Accessed September 29, 2020. http://resolver.tudelft.nl/uuid:525c32ae-89c1-437b-bbb2-fe2013c699b1.

MLA Handbook (7th Edition):

Tatsis, K (author). “Structural Health Assessment through Vibration Monitoring on FPSOs.” 2016. Web. 29 Sep 2020.

Vancouver:

Tatsis K(. Structural Health Assessment through Vibration Monitoring on FPSOs. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2020 Sep 29]. Available from: http://resolver.tudelft.nl/uuid:525c32ae-89c1-437b-bbb2-fe2013c699b1.

Council of Science Editors:

Tatsis K(. Structural Health Assessment through Vibration Monitoring on FPSOs. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:525c32ae-89c1-437b-bbb2-fe2013c699b1


University of Southern California

24. 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/6162

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 September 29, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/239394/rec/6162.

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. 29 Sep 2020.

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 2020 Sep 29]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/239394/rec/6162.

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/6162


University of Tennessee – Knoxville

25. Zhao, Jie. VIBRATION BASED DAMAGE IDENTIFICATION OF TIME-VARYING DYNAMICAL SYSTEMS.

Degree: 2013, University of Tennessee – Knoxville

 This thesis develops and explores two new kinds of vibration-based damage identification methodologies suitable for dynamical systems with periodically time-varying coefficients; 1) a Floquet based… (more)

Subjects/Keywords: Damage Identification; Floquet; Frequency response function; Harmonic Balance; Acoustics, Dynamics, and Controls

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APA (6th Edition):

Zhao, J. (2013). VIBRATION BASED DAMAGE IDENTIFICATION OF TIME-VARYING DYNAMICAL SYSTEMS. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/1801

Chicago Manual of Style (16th Edition):

Zhao, Jie. “VIBRATION BASED DAMAGE IDENTIFICATION OF TIME-VARYING DYNAMICAL SYSTEMS.” 2013. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed September 29, 2020. https://trace.tennessee.edu/utk_graddiss/1801.

MLA Handbook (7th Edition):

Zhao, Jie. “VIBRATION BASED DAMAGE IDENTIFICATION OF TIME-VARYING DYNAMICAL SYSTEMS.” 2013. Web. 29 Sep 2020.

Vancouver:

Zhao J. VIBRATION BASED DAMAGE IDENTIFICATION OF TIME-VARYING DYNAMICAL SYSTEMS. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2013. [cited 2020 Sep 29]. Available from: https://trace.tennessee.edu/utk_graddiss/1801.

Council of Science Editors:

Zhao J. VIBRATION BASED DAMAGE IDENTIFICATION OF TIME-VARYING DYNAMICAL SYSTEMS. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2013. Available from: https://trace.tennessee.edu/utk_graddiss/1801

26. 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 (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 September 29, 2020. 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. 29 Sep 2020.

Vancouver:

Κοψαυτόπουλος . Advanced functional and sequential statistical time series methods for damage diagnosis in mechanical structures. [Internet] [Doctoral dissertation]. University of Patras; 2012. [cited 2020 Sep 29]. 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

27. 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 September 29, 2020. 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. 29 Sep 2020.

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 2020 Sep 29]. 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


University of Technology, Sydney

28. 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 September 29, 2020. 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. 29 Sep 2020.

Vancouver:

Makki Alamdari M. Vibration-based structural health monitoring. [Internet] [Thesis]. University of Technology, Sydney; 2015. [cited 2020 Sep 29]. 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


Indian Institute of Science

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

Degree: PhD, Faculty of Engineering, 2011, 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Krishnan, N. G. (2011). Identification Tools For Smeared Damage With Application To Reinforced Concrete Structural Elements. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/988

Chicago Manual of Style (16th Edition):

Krishnan, N Gopala. “Identification Tools For Smeared Damage With Application To Reinforced Concrete Structural Elements.” 2011. Doctoral Dissertation, Indian Institute of Science. Accessed September 29, 2020. http://etd.iisc.ac.in/handle/2005/988.

MLA Handbook (7th Edition):

Krishnan, N Gopala. “Identification Tools For Smeared Damage With Application To Reinforced Concrete Structural Elements.” 2011. Web. 29 Sep 2020.

Vancouver:

Krishnan NG. Identification Tools For Smeared Damage With Application To Reinforced Concrete Structural Elements. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2011. [cited 2020 Sep 29]. Available from: http://etd.iisc.ac.in/handle/2005/988.

Council of Science Editors:

Krishnan NG. Identification Tools For Smeared Damage With Application To Reinforced Concrete Structural Elements. [Doctoral Dissertation]. Indian Institute of Science; 2011. Available from: http://etd.iisc.ac.in/handle/2005/988


Queensland University of Technology

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

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 September 29, 2020. 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. 29 Sep 2020.

Vancouver:

Wahalathantri BL. Damage assessment in reinforced concrete flexural members using modal strain energy based method. [Internet] [Thesis]. Queensland University of Technology; 2012. [cited 2020 Sep 29]. 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

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