Paper
8 April 2010 Computational Lamb wave model validation using 1D and 3D laser vibrometer measurements
Steven E. Olson, Martin P. DeSimio, Matthew J. Davies, Eric D. Swenson, Hoon Sohn
Author Affiliations +
Abstract
Lamb waves are being explored for structural health monitoring (SHM) due to their capability of detecting relatively small damage within reasonably large inspection areas. However, Lamb wave behavior is fairly complex, and therefore, various computational techniques, including finite element analysis (FEA), have been utilized to design appropriate SHM systems. Validation of these computational models is often based on a limited number of measurements made at discrete locations on the structure. For example, models of pitch-catch of Lamb waves may be validated by comparing predicted waveform time histories at a sensor to experimentally measured results. The use of laser Doppler vibrometer (LDV) measurements offers the potential to improve model validation. One-dimensional (1D) LDV scans provide detailed out-of-plane measurements over the entire scanned region, and checks at discrete sensor locations can still be performed. The use of three-dimensional (3D) laser vibrometer scans further expands the data available for correlation by providing in- and out-of-plane velocity components over the entire scanned region. This paper compares the use of 1D and 3D laser vibrometer data for qualitatively and quantitatively validating models of healthy metallic and composite plates.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven E. Olson, Martin P. DeSimio, Matthew J. Davies, Eric D. Swenson, and Hoon Sohn "Computational Lamb wave model validation using 1D and 3D laser vibrometer measurements", Proc. SPIE 7650, Health Monitoring of Structural and Biological Systems 2010, 76500M (8 April 2010); https://doi.org/10.1117/12.847321
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Laser Doppler velocimetry

Finite element methods

Sensors

3D metrology

3D modeling

Composites

Aluminum

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