Computational study on plate damage identification

Stephanie A. Wimmer; Virginia G. DeGiorgi

doi:10.1117/12.469871

11 June 2002 Computational study on plate damage identification

Stephanie A. Wimmer, Virginia G. DeGiorgi

Proceedings Volume 4702, Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems; (2002) https://doi.org/10.1117/12.469871
Event: NDE For Health Monitoring and Diagnostics, 2002, San Diego, California, United States

Abstract

All structures, natural and man-made, accumulate damage over their lifetime. The concern is: when does the level of damage interfere with safe performance. In the extreme, catastrophic failure is a clear indication of unsafe levels of damage. One of the goals of health monitoring systems is to identify damage long before this final level of criticality is obtained. Algorithms are required that identify damage prior to the degradation of structural parameters. In the current work several identification algorithms are examined for use on plate structures. Plates are of interest because they are basic building blocks for many structures. Even simple flat plates exhibit complex structural response such as anticlastic bending. Damage is included in the computational study presented in the form of damage to the connecting joints. Trends in local and global response are evaluated. Natural frequency, Fourier, power spectrum and wavelet interrogations are evaluated. Dynamic loading conditions consisting of impulse and chaotic oscillations are examined. Interrogations are performed on displacement and strain histories. Sensitivity and potential uses of these interrogators for damage identification are discussed.

Citation Download Citation

Stephanie A. Wimmer and Virginia G. DeGiorgi "Computational study on plate damage identification", Proc. SPIE 4702, Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems, (11 June 2002); https://doi.org/10.1117/12.469871

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