物探与化探2023，Vol.47Issue(6)：1467-1478,12.DOI:10.11720/wtyht.2023.1239
基于正余弦算法的瑞利波频散曲线反演
Inversion of the Rayleigh wave dispersion curves based on the sine-cosine algorithm
摘要
Abstract
Rayleigh wave is widely used in engineering investigation and surveys.The inversion of its dispersion curves allows for effec-tively obtaining stratigraphic information.However,conventional global optimization algorithms in the dispersion curve inversion have a slow convergence rate and low convergence precision and are prone to prematurity.Therefore,this study introduced a novel global opti-mization algorithm—the sine cosine algorithm(SCA)—to solve the problems mentioned above.Based on the mathematical properties of sine and cosine functions,the SCA can adjust the exploration and development capabilities during the optimization using multiple ran-dom parameters and adaptive variables.As a result,it can ensure a high convergence rate and great stability while obtaining high-accu-racy solutions.First,the feasibility of the SCA for the dispersion curve inversion was verified using four noise-free models.Then,the strong anti-interference ability of the SCA was proved by adding 15％of random noise to the models.Afterward,it was verified that SCA can yield high-precision,high-stability solutions in the dispersion curve inversion by comparison with the particle swarm optimization(PSO)approach.Finally,the practicability of the SCA was confirmed using seismic data from Arnarbælidi in Iceland and Wyoming in the USA.As indicated by the calculation results of theoretical models and the analysis of measured data,the SCA has a high processing speed,precision,stability,and practicability and thus allows for effective quantitative interpretation of the Rayleigh wave dispersion curves.关键词
瑞利波/频散曲线反演/全局优化/正余弦算法Key words
Rayleigh wave/dispersion curve inversion/global optimization/sine-cosine algorithm分类
天文与地球科学引用本文复制引用
付宇,艾寒冰,姚振岸,梅竹虚,苏可嘉..基于正余弦算法的瑞利波频散曲线反演[J].物探与化探,2023,47(6):1467-1478,12.基金项目
江西省教育厅科学技术项目(GJJ200728) （GJJ200728）
江西省自然科学基金项目(20212BAB211003) （20212BAB211003）
国家自然科学基金项目(42004113) （42004113）
江西省防震减灾与工程地质灾害探测工程研究中心开放基金项目(SDGD202006) （SDGD202006）
