Particle swarm optimization for optimal sensor placement in ultrasonic SHM systems

Philippe Blanloeuil; Nur A. E. Nurhazli; Martin Veidt

doi:10.1117/12.2219396

8 April 2016 Particle swarm optimization for optimal sensor placement in ultrasonic SHM systems

Philippe Blanloeuil, Nur A. E. Nurhazli, Martin Veidt

Proceedings Volume 9804, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2016; 98040E (2016) https://doi.org/10.1117/12.2219396
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2016, Las Vegas, Nevada, United States

Abstract

A Particle Swarm Optimization (PSO) algorithm is used to improve sensors placement in an ultrasonic Structural Health Monitoring (SHM) system where the detection is performed through the beam-forming imaging algorithm. The imaging algorithm reconstructs the defect image and estimates its location based on analytically generated signals, considering circular through hole damage in an aluminum plate as the tested structure. Then, the PSO algorithm changes the position of sensors to improve the accuracy of the detection. Thus, the two algorithms are working together iteratively to optimize the system configuration, taking into account a complete modeling of the SHM system. It is shown that this approach can provide good sensors placements for detection of multiple defects in the target area, and for different numbers of sensors.

Citation Download Citation

Philippe Blanloeuil, Nur A. E. Nurhazli, and Martin Veidt "Particle swarm optimization for optimal sensor placement in ultrasonic SHM systems", Proc. SPIE 9804, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2016, 98040E (8 April 2016); https://doi.org/10.1117/12.2219396

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