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| Inversion of multi-mode Rayleigh wave dispersion curves based on lightning attachment procedure optimization |
| FU Yu1,2, AI Hanbing1,2, YAO Zhen'an1,2, LI Hongxing1,2, TIAN Xiao1,2, ZHANG Xingmian1,2 |
1. Engineering Research Center for Earthquake Disaster Prevention and Engineering Geological Disaster Detection of Jiangxi Province(East China University of Technology), Nanchang, Jiangxi 330013, China;
2. School of Geophysics and Measurement-control Technology, East China University of Technology, Nanchang, Jiangxi 330013, China |
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Abstract In Rayleigh wave exploration, inversion of picked dispersion curves is the key to retrieving subsurface stratigraphic information, which is characterized by multiple parameters and optimal values. Traditional global optimization methods such as particle swarm optimization(PSO) algorithm and genetic algorithm(GA) feature slow convergence speed and low precision. To this end, this paper adopts a novel global optimization algorithm, lightning attachment procedure optimization(LAPO) for dispersion curve inversion. The LAPO algorithm is inspired by the natural lightning formation process involving the process of connecting downward and upward leader movements. This algorithm can find the optimal solution by simulating the lightning formation process in nature and has strong global search and local exploitation abilities without parameter tuning. Tests carried out through the theoretical geological model and actual data show that compared with PSO, LAPO yields faster convergence speed, higher solution accuracy, and more stable performance. Additionally, it can be applied to the inversion of both fundamental and multimode dispersion curves, and is a valuable tool for the quantitative interpretation of Rayleigh dispersion curves.
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Received: 14 July 2022
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2023, Vol. 58 
