第５部門③

[24013-18-03] 3D spatial distribution estimation of corn tip resistance considering seismic prospecting based on Gaussian process regression (Proceedings of Symposium on Applied Mechanics)

*Yuto Tsuda¹, Yukihisa Tomizawa¹, Ikumasa Yoshida¹, Shinichi Nishimura² (1. Tokyo City University, 2. Okayama University)

Keywords:Gaussian Process Regression, Seismic Prospecting, Corn Tip Resistance

Three-dimensional spatial distribution estimation of corn tip resistance considering seismic prospecting is performed based on actual measured data by Gaussian process regression with multiple random fields. A blind test is performed to examine the estimation accuracy. The correlation between the elastic wave velocity and the trend component of the corn tip resistance is considered in the formulation. The hyperparameters are estimated by the maximum likelihood method. The accuracy of the estimated spatial distribution is examined with or without consideration of elastic wave velocity. It is confirmed that the estimation accuracy is improved by considering elastic wave velocity.