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You searched for subject:(Substructural identification). Showing records 1 – 4 of 4 total matches.

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

Degree: 2012, National University of Singapore

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

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

XIAOJUAN, WANG. “Parameter Identification with Unknown Input and Incomplete Measurements.” 2012. Thesis, National University of Singapore. Accessed September 20, 2020. http://scholarbank.nus.edu.sg/handle/10635/36365.

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

MLA Handbook (7th Edition):

XIAOJUAN, WANG. “Parameter Identification with Unknown Input and Incomplete Measurements.” 2012. Web. 20 Sep 2020.

Vancouver:

XIAOJUAN W. Parameter Identification with Unknown Input and Incomplete Measurements. [Internet] [Thesis]. National University of Singapore; 2012. [cited 2020 Sep 20]. Available from: http://scholarbank.nus.edu.sg/handle/10635/36365.

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

Council of Science Editors:

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

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


Utah State University

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

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 20, 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. 20 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 20]. 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

3. ZHANG ZHEN. A uniformly sampled genetic algorithm with gradient search for system identification.

Degree: 2009, National University of Singapore

Subjects/Keywords: Structural health monitoring; genetic algorithm; quasi-random sequence; gradient search; substructural identification

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

APA (6th Edition):

ZHEN, Z. (2009). A uniformly sampled genetic algorithm with gradient search for system identification. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/16409

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):

ZHEN, ZHANG. “A uniformly sampled genetic algorithm with gradient search for system identification.” 2009. Thesis, National University of Singapore. Accessed September 20, 2020. http://scholarbank.nus.edu.sg/handle/10635/16409.

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

MLA Handbook (7th Edition):

ZHEN, ZHANG. “A uniformly sampled genetic algorithm with gradient search for system identification.” 2009. Web. 20 Sep 2020.

Vancouver:

ZHEN Z. A uniformly sampled genetic algorithm with gradient search for system identification. [Internet] [Thesis]. National University of Singapore; 2009. [cited 2020 Sep 20]. Available from: http://scholarbank.nus.edu.sg/handle/10635/16409.

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

Council of Science Editors:

ZHEN Z. A uniformly sampled genetic algorithm with gradient search for system identification. [Thesis]. National University of Singapore; 2009. Available from: http://scholarbank.nus.edu.sg/handle/10635/16409

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

4. MAK SWEE CHIANG. GA-based substructural identification with static measurements.

Degree: 2004, National University of Singapore

Subjects/Keywords: genetic algorithm substructural identification static interface

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

APA (6th Edition):

CHIANG, M. S. (2004). GA-based substructural identification with static measurements. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/16495

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):

CHIANG, MAK SWEE. “GA-based substructural identification with static measurements.” 2004. Thesis, National University of Singapore. Accessed September 20, 2020. http://scholarbank.nus.edu.sg/handle/10635/16495.

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

MLA Handbook (7th Edition):

CHIANG, MAK SWEE. “GA-based substructural identification with static measurements.” 2004. Web. 20 Sep 2020.

Vancouver:

CHIANG MS. GA-based substructural identification with static measurements. [Internet] [Thesis]. National University of Singapore; 2004. [cited 2020 Sep 20]. Available from: http://scholarbank.nus.edu.sg/handle/10635/16495.

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

Council of Science Editors:

CHIANG MS. GA-based substructural identification with static measurements. [Thesis]. National University of Singapore; 2004. Available from: http://scholarbank.nus.edu.sg/handle/10635/16495

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

.