Paper
7 April 2009 NDE simulations: critical tools in the integration of NDE and SHM
R. Bruce Thompson
Author Affiliations +
Abstract
Nondestructive Evaluation (NDE) and Structural Health Monitoring (SHM) are closely related technologies intended to assure the safe and reliable operation of structural components at an affordable cost. The paper will start with a brief review of common design strategies to assure the structural integrity of components and of the role that NDE and SHM play within those strategies. Included will be a discussion of the metrics used to quantify the effectiveness of NDE and SHM, such as probability of detection (POD), and how these metrics influence the selection of the optimal noninvasive strategy to assure structural integrity. In many cases, this will involve a combination of traditional NDE measurements performed at discrete time intervals and SHM measurements providing information on a continuous or semi-continuous basis at discrete sensor locations. It will then be suggested that NDE/SHM simulators are key engineering tools in designing these specific measurement configurations and in determining the optimum balance between these two measurement philosophies. Included in that discussion will be a review of the development of NDE simulators, a discussion of applications that they are finding in traditional NDE, including Model-Assisted Probability of Detection (MAPOD) determination, and a suggestion of how simulations could be integrated into SHM strategies. The paper will conclude with a discussion of possible future directions.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Bruce Thompson "NDE simulations: critical tools in the integration of NDE and SHM", Proc. SPIE 7294, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2009, 729402 (7 April 2009); https://doi.org/10.1117/12.824474
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Nondestructive evaluation

Structural health monitoring

Inspection

Data modeling

Failure analysis

Sensors

Stochastic processes

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