Location
San Diego, California
Presentation Date
26 May 2010, 4:45 pm - 6:45 pm
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.
Department(s)
Civil, Architectural and Environmental Engineering
Meeting Name
5th International Conference on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics
Publisher
Missouri University of Science and Technology
Document Version
Final Version
Rights
© 2010 Missouri University of Science and Technology, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Document Type
Article - Conference proceedings
File Type
text
Language
English
Recommended Citation
Saeidi, Hamed and Nikkhah-Bahrami, Mansour, "The Effect of Step Load Moving on the Surface of a Cylindrical Cavity Using Neural Networks" (2010). International Conferences on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics. 52.
https://scholarsmine.mst.edu/icrageesd/05icrageesd/session05/52
Included in
The Effect of Step Load Moving on the Surface of a Cylindrical Cavity Using Neural Networks
San Diego, California
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.
