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You searched for subject:(damage identification). Showing records 1 – 30 of 109 total matches.

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Hong Kong University of Science and Technology

1. 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 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 October 16, 2019. 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. 16 Oct 2019.

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 2019 Oct 16]. Available from: 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: 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


Deakin University

2. 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 October 16, 2019. 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. 16 Oct 2019.

Vancouver:

Ay AM. Impulse vibration based structural damage identification methods in time domain. [Internet] [Thesis]. Deakin University; 2017. [cited 2019 Oct 16]. 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

3. 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 October 16, 2019. http://hdl.handle.net/1993/31652.

MLA Handbook (7th Edition):

Zhao, Shengjie. “Natural frequency based damage identification of beams using piezoelectric materials.” 2015. Web. 16 Oct 2019.

Vancouver:

Zhao S. Natural frequency based damage identification of beams using piezoelectric materials. [Internet] [Masters thesis]. University of Manitoba; 2015. [cited 2019 Oct 16]. 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


Texas A&M University

4. 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 16, 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. 16 Oct 2019.

Vancouver:

You T. Iterative Damage Index Method for Structural Health Monitoring. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Oct 16]. 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


University of Western Australia

5. Sha, Yanyan. Analysis, assessment and mitigation of barge impact load on bridge piers.

Degree: PhD, 2013, University of Western Australia

[Truncated abstract] A growing number of large span bridges are built across navigable waterways all around the world in the past decades. These bridges are… (more)

Subjects/Keywords: Barge impact; Pier damage; Pier response; Impact load; Damage mitigation; Damage identification; SDOF model

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APA (6th Edition):

Sha, Y. (2013). Analysis, assessment and mitigation of barge impact load on bridge piers. (Doctoral Dissertation). University of Western Australia. Retrieved from http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=34730&local_base=GEN01-INS01

Chicago Manual of Style (16th Edition):

Sha, Yanyan. “Analysis, assessment and mitigation of barge impact load on bridge piers.” 2013. Doctoral Dissertation, University of Western Australia. Accessed October 16, 2019. http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=34730&local_base=GEN01-INS01.

MLA Handbook (7th Edition):

Sha, Yanyan. “Analysis, assessment and mitigation of barge impact load on bridge piers.” 2013. Web. 16 Oct 2019.

Vancouver:

Sha Y. Analysis, assessment and mitigation of barge impact load on bridge piers. [Internet] [Doctoral dissertation]. University of Western Australia; 2013. [cited 2019 Oct 16]. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=34730&local_base=GEN01-INS01.

Council of Science Editors:

Sha Y. Analysis, assessment and mitigation of barge impact load on bridge piers. [Doctoral Dissertation]. University of Western Australia; 2013. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=34730&local_base=GEN01-INS01

6. 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 16, 2019. http://scholar.uwindsor.ca/etd/4825.

MLA Handbook (7th Edition):

Li, Li. “Damage and material identification using inverse analysis.” 2012. Web. 16 Oct 2019.

Vancouver:

Li L. Damage and material identification using inverse analysis. [Internet] [Doctoral dissertation]. National Library of Canada; 2012. [cited 2019 Oct 16]. 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

7. 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 16, 2019. https://scholar.uwindsor.ca/etd/5382.

MLA Handbook (7th Edition):

Li, Li. “DAMAGE AND MATERIAL IDENTIFICATION USING INVERSE ANALYSIS.” 2012. Web. 16 Oct 2019.

Vancouver:

Li L. DAMAGE AND MATERIAL IDENTIFICATION USING INVERSE ANALYSIS. [Internet] [Doctoral dissertation]. University of Windsor; 2012. [cited 2019 Oct 16]. 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


Rice University

8. 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 16, 2019. http://hdl.handle.net/1911/105769.

MLA Handbook (7th Edition):

Lai, Zhilu. “Sparse Structural System Identification and Damage Detection.” 2018. Web. 16 Oct 2019.

Vancouver:

Lai Z. Sparse Structural System Identification and Damage Detection. [Internet] [Doctoral dissertation]. Rice University; 2018. [cited 2019 Oct 16]. 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


Queensland University of Technology

9. 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 October 16, 2019. 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. 16 Oct 2019.

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 2019 Oct 16]. 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

10. 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 16, 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. 16 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 16]. 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


Cleveland State University

11. Madden, Ryan J. Development of Robust Control Techniques towards Damage Identification.

Degree: Doctor of Engineering, Washkewicz College of Engineering, 2016, Cleveland State University

 Robust control techniques have enabled engineers to create uncertain models which are able to describe any differences between the model and experimental system with uncertainties… (more)

Subjects/Keywords: Mechanical Engineering; Robust Control, Model Validation, Model Reconciliation, Damage Identification

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APA (6th Edition):

Madden, R. J. (2016). Development of Robust Control Techniques towards Damage Identification. (Doctoral Dissertation). Cleveland State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=csu1460986638

Chicago Manual of Style (16th Edition):

Madden, Ryan J. “Development of Robust Control Techniques towards Damage Identification.” 2016. Doctoral Dissertation, Cleveland State University. Accessed October 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=csu1460986638.

MLA Handbook (7th Edition):

Madden, Ryan J. “Development of Robust Control Techniques towards Damage Identification.” 2016. Web. 16 Oct 2019.

Vancouver:

Madden RJ. Development of Robust Control Techniques towards Damage Identification. [Internet] [Doctoral dissertation]. Cleveland State University; 2016. [cited 2019 Oct 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=csu1460986638.

Council of Science Editors:

Madden RJ. Development of Robust Control Techniques towards Damage Identification. [Doctoral Dissertation]. Cleveland State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=csu1460986638


Virginia Tech

12. 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 October 16, 2019. http://hdl.handle.net/10919/77301.

MLA Handbook (7th Edition):

Bisht, Saurabh Singh. “Vibration Measurement Based Damage Identification for Structural Health Monitoring.” 2010. Web. 16 Oct 2019.

Vancouver:

Bisht SS. Vibration Measurement Based Damage Identification for Structural Health Monitoring. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2019 Oct 16]. 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 Adelaide

13. Mohseni, Hasan. Damage identification in FRP-retrofitted concrete structures using linear and nonlinear guided waves.

Degree: 2018, University of Adelaide

 Structural health monitoring (SHM) involves the implementation of damage identification methods in engineering structures to ensure structural safety and integrity. The paramount importance of SHM… (more)

Subjects/Keywords: nonlinear guided waves; FRP-retrofitted concrete; higher harmonic; debonding; damage identification

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APA (6th Edition):

Mohseni, H. (2018). Damage identification in FRP-retrofitted concrete structures using linear and nonlinear guided waves. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/115872

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):

Mohseni, Hasan. “Damage identification in FRP-retrofitted concrete structures using linear and nonlinear guided waves.” 2018. Thesis, University of Adelaide. Accessed October 16, 2019. http://hdl.handle.net/2440/115872.

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

MLA Handbook (7th Edition):

Mohseni, Hasan. “Damage identification in FRP-retrofitted concrete structures using linear and nonlinear guided waves.” 2018. Web. 16 Oct 2019.

Vancouver:

Mohseni H. Damage identification in FRP-retrofitted concrete structures using linear and nonlinear guided waves. [Internet] [Thesis]. University of Adelaide; 2018. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/2440/115872.

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

Council of Science Editors:

Mohseni H. Damage identification in FRP-retrofitted concrete structures using linear and nonlinear guided waves. [Thesis]. University of Adelaide; 2018. Available from: http://hdl.handle.net/2440/115872

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


University of Waikato

14. 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

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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 October 16, 2019. 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. 16 Oct 2019.

Vancouver:

De Los Rios Giraldo JO. Damage identification in skeletal structures: A dynamic stiffness approach . [Internet] [Doctoral dissertation]. University of Waikato; 2017. [cited 2019 Oct 16]. 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 Notre Dame

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

Degree: PhD, 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>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/37720c50p2z

Chicago Manual of Style (16th Edition):

Leyden, Kevin. “System Monitoring by Tracking Fractional Order</h1>.” 2018. Doctoral Dissertation, University of Notre Dame. Accessed October 16, 2019. https://curate.nd.edu/show/37720c50p2z.

MLA Handbook (7th Edition):

Leyden, Kevin. “System Monitoring by Tracking Fractional Order</h1>.” 2018. Web. 16 Oct 2019.

Vancouver:

Leyden K. System Monitoring by Tracking Fractional Order</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2018. [cited 2019 Oct 16]. Available from: https://curate.nd.edu/show/37720c50p2z.

Council of Science Editors:

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


University of Southern California

16. Zhang, Dongyu. Controlled substructure identification for shear structures.

Degree: PhD, Civil Engineering, 2010, University of Southern California

 Shear structure models are widely used to model the dynamics of building structures; therefore, developing the techniques that can accurately identify the parameters of a… (more)

Subjects/Keywords: substructure; controlled identification; shear structure; frame structure; error analysis; damage detection

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

APA (6th Edition):

Zhang, D. (2010). Controlled substructure identification for shear structures. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/423761/rec/1643

Chicago Manual of Style (16th Edition):

Zhang, Dongyu. “Controlled substructure identification for shear structures.” 2010. Doctoral Dissertation, University of Southern California. Accessed October 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/423761/rec/1643.

MLA Handbook (7th Edition):

Zhang, Dongyu. “Controlled substructure identification for shear structures.” 2010. Web. 16 Oct 2019.

Vancouver:

Zhang D. Controlled substructure identification for shear structures. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Oct 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/423761/rec/1643.

Council of Science Editors:

Zhang D. Controlled substructure identification for shear structures. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/423761/rec/1643


University of Western Australia

17. 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 16, 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. 16 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 16]. 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 Alabama

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

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 16, 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. 16 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 16]. 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

19. 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 16, 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. 16 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 16]. 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

20. 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 October 16, 2019. 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. 16 Oct 2019.

Vancouver:

Hong S. An effective data mining approach for structure damage indentification. [Internet] [Doctoral dissertation]. The Ohio State University; 2007. [cited 2019 Oct 16]. 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


University of Western Australia

21. Al-Hanbali, Arwa Hashem Mohamed. Investigation of the effect of time and surface type on amplicon contamination of DNA profiles.

Degree: M.For.Sc., 2010, University of Western Australia

Forensic analysis of the Deoxyribonucleic Acid (DNA) obtained from biological evidence, such as blood or cellular samples, commonly known as DNA profiling or DNA “typing”,… (more)

Subjects/Keywords: Forensic genetics; DNA damage; DNA; Identification; DNA fingerprinting; DNA profiling; DNA contamination

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APA (6th Edition):

Al-Hanbali, A. H. M. (2010). Investigation of the effect of time and surface type on amplicon contamination of DNA profiles. (Masters Thesis). University of Western Australia. Retrieved from http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=29881&local_base=GEN01-INS01

Chicago Manual of Style (16th Edition):

Al-Hanbali, Arwa Hashem Mohamed. “Investigation of the effect of time and surface type on amplicon contamination of DNA profiles.” 2010. Masters Thesis, University of Western Australia. Accessed October 16, 2019. http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=29881&local_base=GEN01-INS01.

MLA Handbook (7th Edition):

Al-Hanbali, Arwa Hashem Mohamed. “Investigation of the effect of time and surface type on amplicon contamination of DNA profiles.” 2010. Web. 16 Oct 2019.

Vancouver:

Al-Hanbali AHM. Investigation of the effect of time and surface type on amplicon contamination of DNA profiles. [Internet] [Masters thesis]. University of Western Australia; 2010. [cited 2019 Oct 16]. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=29881&local_base=GEN01-INS01.

Council of Science Editors:

Al-Hanbali AHM. Investigation of the effect of time and surface type on amplicon contamination of DNA profiles. [Masters Thesis]. University of Western Australia; 2010. Available from: http://repository.uwa.edu.au:80/R/?func=dbin-jump-full&object_id=29881&local_base=GEN01-INS01


University of Southern California

22. 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 16, 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. 16 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 16]. 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


University of Tennessee – Knoxville

23. 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 October 16, 2019. https://trace.tennessee.edu/utk_graddiss/1801.

MLA Handbook (7th Edition):

Zhao, Jie. “VIBRATION BASED DAMAGE IDENTIFICATION OF TIME-VARYING DYNAMICAL SYSTEMS.” 2013. Web. 16 Oct 2019.

Vancouver:

Zhao J. VIBRATION BASED DAMAGE IDENTIFICATION OF TIME-VARYING DYNAMICAL SYSTEMS. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2013. [cited 2019 Oct 16]. 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

24. 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 16, 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. 16 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 16]. 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

25. [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 October 16, 2019. 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. 16 Oct 2019.

Vancouver:

author] [. HEALTH MONITORING AND DAMAGE IDENTIFICATION OF COMPOSITE STRUCTURES . [Internet] [Thesis]. Washington State University; 2011. [cited 2019 Oct 16]. 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

26. [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 16, 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. 16 Oct 2019.

Vancouver:

author] [. Active Lamb wave propagation-based damage identification in plate-like structures . [Internet] [Thesis]. Washington State University; 2015. [cited 2019 Oct 16]. 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

27. 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 16, 2019. http://hdl.handle.net/1911/96056.

MLA Handbook (7th Edition):

Sun, Peng. “STRAIN-SENSING SMART SKIN FOR STRUCTURAL HEALTH MONITORING.” 2017. Web. 16 Oct 2019.

Vancouver:

Sun P. STRAIN-SENSING SMART SKIN FOR STRUCTURAL HEALTH MONITORING. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2019 Oct 16]. 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

28. 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 16, 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. 16 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 16]. 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

29. 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 16, 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. 16 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 16]. 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


Northeastern University

30. 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 October 16, 2019. http://hdl.handle.net/2047/D20249116.

MLA Handbook (7th Edition):

Kunwar, Anshuman. “System identification free damage localization.” 2017. Web. 16 Oct 2019.

Vancouver:

Kunwar A. System identification free damage localization. [Internet] [Doctoral dissertation]. Northeastern University; 2017. [cited 2019 Oct 16]. 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

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