Inversion of Rayleigh wave dispersion curves with an artificial neural network
The inversion method of Rayleigh wave dispersion curves had been discussed in this paper. At first, the authors studied the influence of elastic parameters on Rayleigh dispersion curves, and also studied the inflexionsmovement of vR-λR dispersion curves with parameters change. And then,the inversion method of artificial neural network was put forward for dispersion curvesinversion, and practical application was used to test the validity of the inversion method. According to the studied results, velocities of transverse waves and thicknesses of media have higher influence on dispersion curves, but densities and velocities of compressional waves have little influence on Rayleigh wave dispersion curves. Because the number of inflexions do not corresponding with the number of interfaces when parameters are changed at times. There is not a theoretic gist to delaminate by inflexions in Rayleigh waves inversion. The artificial network method can interpret the dispersion curves, and it can be used in practice for the future.
Rayleigh waves dispersion inflexion method artificial neural network inversion
Tianchun Yang Yanqing Wu Qiren Wang Jianping Liao
College of Civil Engineering, Hunan University of Science and Technology, Xiangtan 411201, China Chongqing Research Institute, China Coal Research Institute, Chongqing 400037, China College of Civil Engineering, Hunan University of Science and Technology,Xiangtan 411201, China
国际会议
成都
英文
303-309
2010-06-14（万方平台首次上网日期，不代表论文的发表时间）