Evaluating the Performance of Distributed Approaches for Modal Identification
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. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
S. S. Krishnan et al., "Evaluating the Performance of Distributed Approaches for Modal Identification," Proceedings of SPIE - The International Society for Optical Engineering, vol. 7981, article no. 79814M, Society of Photo-optical Instrumentation Engineers, May 2011.
The definitive version is available at https://doi.org/10.1117/12.882143
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Distributed Computing; ERA; FDD; Modal Identification
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International Standard Serial Number (ISSN)
Article - Conference proceedings
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26 May 2011