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Proceedings Paper

Structural health monitoring system design using finite element analysis
Author(s): Daniel William Stinemates; Charles R. Farrar; Hoon Sohn; Joel G. Bennett
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Paper Abstract

The project described in this paper was undertaken to demonstrate that finite element analysis can be used to define the parameters of structural health monitoring sensing system. Such an approach to sensor system property definition is necessary because in actual applications one will almost never have a damaged structure available to test. Instead, one will have to postulate the anticipated damage, simulate that damage with a numerical model and then analyze the computational data to determine the necessary properties of the sensing system (number, type, location, sensitivity, bandwidth). To demonstrate this process, a finite element model was constructed of a simulated three-story building used for damage identification experiments. Damage was introduced by loosening bolts in the connections of the columns to plates representing the floors the structure. Of particular interest was modeling slip in joints as a function of bolt torque and predicting the smallest change of torque that could be detected experimentally. After being validated with modal analysis results from the physical structure, the model was used to produce data to test the capabilities of damage identification algorithms and define the sensing system properties. This paper describes the finite element model that was constructed, the results obtained, and proposed future uses for such model as part of an integrated approach to structural health monitoring.

Paper Details

Date Published: 11 June 2002
PDF: 10 pages
Proc. SPIE 4702, Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems, (11 June 2002); doi: 10.1117/12.469876
Show Author Affiliations
Daniel William Stinemates, Los Alamos National Lab. (United States)
Charles R. Farrar, Los Alamos National Lab. (United States)
Hoon Sohn, Los Alamos National Lab. (United States)
Joel G. Bennett, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 4702:
Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems
Tribikram Kundu, Editor(s)

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