Optimal Arrangement of Structural Sensors in Landfill Based on Stress Wave Detection Technology

• Published in: Journal of sensors Vol. 2022; pp. 1 - 9
• Main Authors: Xie, Xiankun, Xia, Xiong, Gao, Zhaoguo
• Format: Journal Article
• Language: English
• Published: New York Hindawi 18.05.2022; John Wiley & Sons, Inc
• Subjects: Adaptive algorithms; Adaptive search techniques; Diagnosis; Diagnostic systems; Error correction; Finite element method; Groundwater; Landfill; Landfills; Leachates; Maintenance costs; Mathematical models; Modal identification; Noise; Optimization; Optimization algorithms; Parameter identification; Performance evaluation; Pollution; Search algorithms; Sensors; Service life; Signal processing; Stress propagation; Stress waves; Structural health monitoring; Structural safety; Waste disposal; Wave propagation; China
• ISSN: 1687-725X; 1687-7268; 1687-7268
• DOI: 10.1155/2022/7797856

Sensor arrangement is the primary link of landfill structure health monitoring, and the number of measuring points and the quality of data directly affect the effect of modal identification. Therefore, how to ensure the service safety of landfill structure has become an important research content in the field of landfill structure health monitoring. In this paper, the stress wave propagation principle and stress wave detection theory are analyzed, and an optimal sensor arrangement method based on AGSA (adaptive gravity search algorithm) algorithm is proposed. Use CS (Cuckoo search) algorithm to optimize the objective function value. The corresponding response value is calculated by the finite element model, and the initial proxy model is constructed. By comparing and analyzing the results of model correction, it is found that the error of parameters before and after correction is less than 2.5%. It is further verified that AGSA algorithm can be used to solve the optimal sensor placement problem. In this paper, the use of structural health monitoring technology for health diagnosis and performance evaluation is an important means to ensure structural safety, prolong service life, and reduce maintenance cost. As the primary link of structural health monitoring, sensor system directly determines the accuracy of structural safety diagnosis.