Evaluating the Performance of Distributed Approaches for Modal Identification

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. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Department(s)

Civil, Architectural and Environmental Engineering

Keywords and Phrases

Distributed Computing; ERA; FDD; Modal Identification

International Standard Book Number (ISBN)

978-081948543-4

International Standard Serial Number (ISSN)

0277-786X

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2023 Society of Photo-optical Instrumentation Engineers, All rights reserved.

Publication Date

26 May 2011

Link to Full Text

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