The Effect of Step Load Moving on the Surface of a Cylindrical Cavity Using Neural Networks

Abstract

Potential functions and Fourier series method in the cylindrical coordinate system are employed to solve the problem of moving loads on the surface of a cylindrical bore in an infinite elastic and isotropic medium. The steady state dynamic equations of medium are uncoupled by applying potential functions. The medium responses are obtained by using an appropriate numerical method of Laplace transform inversion. The solution has an integral form; therefore, a feedforward backpropagation neural network is designed and trained using the response evaluated numerically in a finite set of random points to approximate stress and displacement components in the medium. It is shown that because of the super seismic nature of the problem, two mach cones are formed and opened toward the rear of the front in the medium

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