Soman Rohan, Kudela Pawel, Balasubramaniam Kaleeswaran, Singh Shishir Kumar, Malinowski Pawel
Institute of Fluid Flow Machinery, Polish Academy of Science, 80-231 Gdansk, Poland.
Sensors (Basel). 2019 Apr 18;19(8):1856. doi: 10.3390/s19081856.
Guided waves (GW) allow fast inspection of a large area and hence have attracted research interest from the structural health monitoring (SHM) community. Thus, GW-based SHM is ideal for thin structures such as plates, pipes, etc., and 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 discontinuities in the structure in the form of 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. Thus, there is an effort to reduce the number of sensors without compromising the quality of the monitoring achieved. 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 maximize the coverage while limiting the number of sensors used. A genetic algorithm (GA)-based optimization strategy was proposed by the authors for use in a simple aluminum plate. This paper extends the optimization methodology for other shape plates and presents experimental, analytical, and numerical studies. The sensitivity studies have been carried out by changing the relative weights of the application demands and presented in the form of a Pareto front. The Pareto front allows comparison of the relative importance of the different application demands, and an appropriate choice can be made based on the information provided.
导波（GW）能够快速检测大面积区域，因此引起了结构健康监测（SHM）领域的研究兴趣。所以，基于导波的结构健康监测对于诸如薄板、管道等薄结构来说是理想的，并且正在航空航天、汽车、风能等多个领域得到应用。导波沿样品表面传播，并以边界和损伤等结构不连续处为反射源产生反射。通过基于反射波到达时间进行适当的信号处理，可以检测并定位损伤。对于复杂结构，可能需要更多的传感器，这会增加设备成本以及重量。因此，人们致力于在不影响监测质量的前提下减少传感器数量。对整个结构进行检测至关重要。所以，有必要优化传感器的位置，以便在限制所用传感器数量的同时最大化覆盖范围。作者提出了一种基于遗传算法（GA）的优化策略用于简单铝板。本文将该优化方法扩展到其他形状的板材，并进行了实验、分析和数值研究。通过改变应用需求的相对权重进行了灵敏度研究，并以帕累托前沿的形式呈现。帕累托前沿允许比较不同应用需求的相对重要性，并可根据所提供的信息做出合适的选择。
