Evaluating the performance of distributed approaches for modal identification

Sriram S. Krishnan; Zhuoxiong Sun; Ayhan Irfanoglu; Shirley J. Dyke; Guirong Yan

doi:10.1117/12.882143

Evaluating the performance of distributed approaches for modal identification

Sriram S. Krishnan, Zhuoxiong Sun, Ayhan Irfanoglu, Shirley J. Dyke, Guirong Yan

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

6 Citations (Scopus)

Abstract

![CDATA[In this paper two modal identification approaches appropriate for use in a distributed computing environment are applied to a full-scale, complex structure. The natural excitation technique (NExT) is used in conjunction with a condensed eigensystem realization algorithm (ERA), and the frequency domain decomposition with peak-picking (FDD-PP) are both applied to sensor data acquired from a 57.5-ft, 10 bay highway sign truss structure. Monte-Carlo simulations are performed on a numerical example to investigate the statistical properties and sensitivity to noise of the two distributed algorithms. Experimental results are provided and discussed.]]

Original language	English
Title of host publication	Proceedings of the 2011 SPIE Conference on Smart Structures and Materials, 6-10 March 2011, Town and Country Resort and Convention Center, San Diego, California, USA
Publisher	SPIE
Number of pages	10
DOIs	https://doi.org/10.1117/12.882143
Publication status	Published - 2011
Event	SPIE Conference on Smart Structures and Materials - Duration: 6 Mar 2011 → …

Conference

Conference	SPIE Conference on Smart Structures and Materials
Period	6/03/11 → …

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10.1117/12.882143

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title = "Evaluating the performance of distributed approaches for modal identification",

abstract = "![CDATA[In this paper two modal identification approaches appropriate for use in a distributed computing environment are applied to a full-scale, complex structure. The natural excitation technique (NExT) is used in conjunction with a condensed eigensystem realization algorithm (ERA), and the frequency domain decomposition with peak-picking (FDD-PP) are both applied to sensor data acquired from a 57.5-ft, 10 bay highway sign truss structure. Monte-Carlo simulations are performed on a numerical example to investigate the statistical properties and sensitivity to noise of the two distributed algorithms. Experimental results are provided and discussed.]]",

author = "Krishnan, {Sriram S.} and Zhuoxiong Sun and Ayhan Irfanoglu and Dyke, {Shirley J.} and Guirong Yan",

year = "2011",

doi = "10.1117/12.882143",

language = "English",

booktitle = "Proceedings of the 2011 SPIE Conference on Smart Structures and Materials, 6-10 March 2011, Town and Country Resort and Convention Center, San Diego, California, USA",

publisher = "SPIE",

note = "SPIE Conference on Smart Structures and Materials ; Conference date: 06-03-2011",

}

Krishnan, SS, Sun, Z, Irfanoglu, A, Dyke, SJ & Yan, G 2011, Evaluating the performance of distributed approaches for modal identification. in Proceedings of the 2011 SPIE Conference on Smart Structures and Materials, 6-10 March 2011, Town and Country Resort and Convention Center, San Diego, California, USA. SPIE, SPIE Conference on Smart Structures and Materials, 6/03/11. https://doi.org/10.1117/12.882143

Evaluating the performance of distributed approaches for modal identification. / Krishnan, Sriram S.; Sun, Zhuoxiong; Irfanoglu, Ayhan et al.
Proceedings of the 2011 SPIE Conference on Smart Structures and Materials, 6-10 March 2011, Town and Country Resort and Convention Center, San Diego, California, USA. SPIE, 2011.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

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T1 - Evaluating the performance of distributed approaches for modal identification

AU - Krishnan, Sriram S.

AU - Sun, Zhuoxiong

AU - Irfanoglu, Ayhan

AU - Dyke, Shirley J.

AU - Yan, Guirong

PY - 2011

Y1 - 2011

N2 - ![CDATA[In this paper two modal identification approaches appropriate for use in a distributed computing environment are applied to a full-scale, complex structure. The natural excitation technique (NExT) is used in conjunction with a condensed eigensystem realization algorithm (ERA), and the frequency domain decomposition with peak-picking (FDD-PP) are both applied to sensor data acquired from a 57.5-ft, 10 bay highway sign truss structure. Monte-Carlo simulations are performed on a numerical example to investigate the statistical properties and sensitivity to noise of the two distributed algorithms. Experimental results are provided and discussed.]]

AB - ![CDATA[In this paper two modal identification approaches appropriate for use in a distributed computing environment are applied to a full-scale, complex structure. The natural excitation technique (NExT) is used in conjunction with a condensed eigensystem realization algorithm (ERA), and the frequency domain decomposition with peak-picking (FDD-PP) are both applied to sensor data acquired from a 57.5-ft, 10 bay highway sign truss structure. Monte-Carlo simulations are performed on a numerical example to investigate the statistical properties and sensitivity to noise of the two distributed algorithms. Experimental results are provided and discussed.]]

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DO - 10.1117/12.882143

M3 - Conference Paper

BT - Proceedings of the 2011 SPIE Conference on Smart Structures and Materials, 6-10 March 2011, Town and Country Resort and Convention Center, San Diego, California, USA

PB - SPIE

T2 - SPIE Conference on Smart Structures and Materials

Y2 - 6 March 2011

ER -

Evaluating the performance of distributed approaches for modal identification

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