Mirgal Paresh, Pal Joy, Banerjee Sauvik
Department of Civil Engineering, Indian Institute of Technology, Bombay, Powai, Mumbai 400076, India.
Department of Civil Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh 177005, India.
Ultrasonics. 2020 Dec;108:106211. doi: 10.1016/j.ultras.2020.106211. Epub 2020 Jun 20.
This study is motivated by the need to develop an efficient online structural health monitoring (SHM) framework to accurately localize damage induced acoustic emission (AE) sources in concrete structures. Experimental studies are carried out in concrete slabs considering pencil lead break (PLB) as artificial damage source to initialize acoustic emission (AE) waves. A simplified yet robust Iterative Planar Source (IPS) localization algorithm based on arrival time (ToA) is proposed first to identify arbitrarily selected several damage source locations for (1) rectangular (2)circular, and (3) zig-zag distributed AE sensor network arrangements. The results of the proposed localization algorithm are then compared with those obtained from an evolutionary particle-swarm optimization (PSO) algorithm for each sensor network arrangement to assess the performance of the AE source monitoring strategy. It is found that the zig-zag arrangement of the distributed AE sensors is the most efficient sensor network arrangement for damage source localization. The obtained results clearly represent the accuracy and robustness of the proposed online monitoring framework for localizing damage induced acoustic emission sources in concrete structures without extensive manual intervention.
本研究旨在开发一种高效的在线结构健康监测（SHM）框架，以准确地对混凝土结构中损伤引起的声发射（AE）源进行定位。在混凝土板中进行了实验研究，将铅笔芯断裂（PLB）作为人工损伤源来激发声发射（AE）波。首先提出了一种基于到达时间（ToA）的简化而稳健的迭代平面源（IPS）定位算法，用于识别任意选定的几个损伤源位置，适用于（1）矩形、（2）圆形和（3）之字形分布的声发射传感器网络布置。然后，将所提出的定位算法的结果与针对每种传感器网络布置从进化粒子群优化（PSO）算法获得的结果进行比较，以评估声发射源监测策略的性能。结果发现，分布式声发射传感器的之字形布置是用于损伤源定位的最有效的传感器网络布置。所获得的结果清楚地表明了所提出的在线监测框架在无需大量人工干预的情况下对混凝土结构中损伤引起的声发射源进行定位的准确性和稳健性。
