Paper
11 June 2002 Structural health monitoring system design using finite element analysis
Daniel William Stinemates, Charles R. Farrar, Hoon Sohn, Joel G. Bennett
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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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel William Stinemates, Charles R. Farrar, Hoon Sohn, and Joel G. Bennett "Structural health monitoring system design using finite element analysis", Proc. SPIE 4702, Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems, (11 June 2002); https://doi.org/10.1117/12.469876
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Cited by 3 scholarly publications.
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KEYWORDS
Data modeling

Finite element methods

Structural health monitoring

Sensing systems

Damage detection

Modal analysis

Aluminum

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