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You searched for subject:(Natural Excitation Technique). Showing records 1 – 4 of 4 total matches.

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University of New South Wales

1. Chowdhury, Mohammad Shakar. Application of System Identification using ERA/NExT for Damage Assessment in Composite Laminates.

Degree: Engineering & Information Technology, 2017, University of New South Wales

 Polymer matrix composites are widely used in aircraft structures due to their superior specific stiffness and strength. However, laminated composites are susceptible to delaminations due… (more)

Subjects/Keywords: Eigensystem Realisation Algorithm; Vibration; Structural Health Monitoring; Natural Excitation Technique; Damage Assessment; Carbon Fiber Reinforced Polymer

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APA (6th Edition):

Chowdhury, M. S. (2017). Application of System Identification using ERA/NExT for Damage Assessment in Composite Laminates. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/57569 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:44102/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Chowdhury, Mohammad Shakar. “Application of System Identification using ERA/NExT for Damage Assessment in Composite Laminates.” 2017. Doctoral Dissertation, University of New South Wales. Accessed February 25, 2021. http://handle.unsw.edu.au/1959.4/57569 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:44102/SOURCE02?view=true.

MLA Handbook (7th Edition):

Chowdhury, Mohammad Shakar. “Application of System Identification using ERA/NExT for Damage Assessment in Composite Laminates.” 2017. Web. 25 Feb 2021.

Vancouver:

Chowdhury MS. Application of System Identification using ERA/NExT for Damage Assessment in Composite Laminates. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2021 Feb 25]. Available from: http://handle.unsw.edu.au/1959.4/57569 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:44102/SOURCE02?view=true.

Council of Science Editors:

Chowdhury MS. Application of System Identification using ERA/NExT for Damage Assessment in Composite Laminates. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/57569 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:44102/SOURCE02?view=true


Virginia Tech

2. Corcoran, Joseph Michael. Output-Only Experimental Modal Testing of Large Residential Structures and Acoustic Cavities Using Sonic Booms.

Degree: MS, Mechanical Engineering, 2010, Virginia Tech

 In this thesis, an output-only experimental modal testing and analysis technique known as the Natural Excitation Technique (NExT) is examined for use with large residential… (more)

Subjects/Keywords: acoustic cavity; residential structure; sonic boom; Natural Excitation Technique (NExT); Modal testing

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APA (6th Edition):

Corcoran, J. M. (2010). Output-Only Experimental Modal Testing of Large Residential Structures and Acoustic Cavities Using Sonic Booms. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/31329

Chicago Manual of Style (16th Edition):

Corcoran, Joseph Michael. “Output-Only Experimental Modal Testing of Large Residential Structures and Acoustic Cavities Using Sonic Booms.” 2010. Masters Thesis, Virginia Tech. Accessed February 25, 2021. http://hdl.handle.net/10919/31329.

MLA Handbook (7th Edition):

Corcoran, Joseph Michael. “Output-Only Experimental Modal Testing of Large Residential Structures and Acoustic Cavities Using Sonic Booms.” 2010. Web. 25 Feb 2021.

Vancouver:

Corcoran JM. Output-Only Experimental Modal Testing of Large Residential Structures and Acoustic Cavities Using Sonic Booms. [Internet] [Masters thesis]. Virginia Tech; 2010. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/10919/31329.

Council of Science Editors:

Corcoran JM. Output-Only Experimental Modal Testing of Large Residential Structures and Acoustic Cavities Using Sonic Booms. [Masters Thesis]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/31329


University of Melbourne

3. Mahmood, S. M. Faisal. State-space model identification for modal-based damage detection.

Degree: 2012, University of Melbourne

 A modal-based global method for identification, localization and quantification of damage of shear frame structures is presented in this thesis. The method involves identification of… (more)

Subjects/Keywords: damage detection; modal identification; Natural Excitation Technique; NExT; Eigensystem Realization Algorithm; ERA; Multi-Reference Based Mode Selection approach; benchmark problem

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APA (6th Edition):

Mahmood, S. M. F. (2012). State-space model identification for modal-based damage detection. (Masters Thesis). University of Melbourne. Retrieved from http://hdl.handle.net/11343/37298

Chicago Manual of Style (16th Edition):

Mahmood, S M Faisal. “State-space model identification for modal-based damage detection.” 2012. Masters Thesis, University of Melbourne. Accessed February 25, 2021. http://hdl.handle.net/11343/37298.

MLA Handbook (7th Edition):

Mahmood, S M Faisal. “State-space model identification for modal-based damage detection.” 2012. Web. 25 Feb 2021.

Vancouver:

Mahmood SMF. State-space model identification for modal-based damage detection. [Internet] [Masters thesis]. University of Melbourne; 2012. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/11343/37298.

Council of Science Editors:

Mahmood SMF. State-space model identification for modal-based damage detection. [Masters Thesis]. University of Melbourne; 2012. Available from: http://hdl.handle.net/11343/37298


University of Southern California

4. Yun, Hae-Bum. Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems.

Degree: PhD, Civil Engineering (Structural Mechanics), 2007, University of Southern California

 The development of effective structural health monitoring (SHM) methodologies is imperative for the efficient maintenance of important structures in aerospace, mechanical and civil engineering. Based… (more)

Subjects/Keywords: structural health monitoring; system identification; Restoring Force Method; artificial neural networks; Hypothesis Test; Bootstrap Method; statistical pattern recognition; support vector machines; k-means clustering; error analysis; detection theory; Natural Excitation Technique; Eigensystem Realization Algorithm; full-scale viscous dampers; magneto-rheological dampers; suspension bridge; web-based real-time bridge monitoring system; ship-bridge collision

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APA (6th Edition):

Yun, H. (2007). Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/528810/rec/819

Chicago Manual of Style (16th Edition):

Yun, Hae-Bum. “Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems.” 2007. Doctoral Dissertation, University of Southern California. Accessed February 25, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/528810/rec/819.

MLA Handbook (7th Edition):

Yun, Hae-Bum. “Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems.” 2007. Web. 25 Feb 2021.

Vancouver:

Yun H. Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2021 Feb 25]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/528810/rec/819.

Council of Science Editors:

Yun H. Analytical and experimental studies of modeling and monitoring uncertain nonlinear systems. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/528810/rec/819

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