Share Email Print
cover

Proceedings Paper

Evaluating the performance of distributed approaches for modal identification
Author(s): Sriram S. Krishnan; Zhuoxiong Sun; Ayhan Irfanoglu; Shirley J. Dyke; Guirong Yan
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

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.

Paper Details

Date Published: 15 April 2011
PDF: 10 pages
Proc. SPIE 7981, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011, 79814M (15 April 2011); doi: 10.1117/12.882143
Show Author Affiliations
Sriram S. Krishnan, Purdue Univ. (United States)
Zhuoxiong Sun, Purdue Univ. (United States)
Ayhan Irfanoglu, Purdue Univ. (United States)
Shirley J. Dyke, Purdue Univ. (United States)
Guirong Yan, Univ. of Western Sydney (Australia)


Published in SPIE Proceedings Vol. 7981:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011
Masayoshi Tomizuka, Editor(s)

© SPIE. Terms of Use
Back to Top