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Improved damage isolation using guided waves based on optimized sensor placement
Author(s): Rohan Soman; Pawel Kudela; Pawel Malinowski
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Paper Abstract

Guided waves (GW) are one of the most promising tools for structural health monitoring (SHM). They allow fast inspection of a large area. Thus GW based SHM is finding applications in several fields like aerospace, automotive, wind energy, etc. The GW propagate along the surface of the sample and get reflected from the boundaries and damage. Through proper signal processing of the reflected waves based on their time of arrival, the damage can be detected and isolated. For complex structures a higher number of sensors may be required which increases the cost of the equipment as well as the mass. The mass increase is detrimental in aerospace applications where the mass leads to increase in operation cost. Thus there is an effort to reduce the number of sensors. In addition, for the safety and reliability of the aircraft it is of utmost importance that the entire structure can be investigated. Hence it is necessary to optimize the locations of the sensors in order to maximise the coverage while limiting the number of sensors used. A genetic algorithm (GA) based optimization strategy was previously proposed by the authors for the use in a simple aluminium plate. This paper extends the optimization methodology for a composite plate with additional structural elements. The work starts with extension of the optimization strategy and the implementation of the anisotropic properties and structural elements in the optimization problem.

Paper Details

Date Published: 27 March 2019
PDF: 14 pages
Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109700B (27 March 2019); doi: 10.1117/12.2513867
Show Author Affiliations
Rohan Soman, Institute of Fluid-Flow Machinery (Poland)
Pawel Kudela, Institute of Fluid-Flow Machinery (Poland)
Pawel Malinowski, Institute of Fluid-Flow Machinery (Poland)


Published in SPIE Proceedings Vol. 10970:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019
Jerome P. Lynch; Haiying Huang; Hoon Sohn; Kon-Well Wang, Editor(s)

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