Stress-Strain Behavior of Geomaterials in Loading Reversal Simulated by Time-Delay Neural Networks
Publication: Journal of Materials in Civil Engineering
Volume 14, Issue 3
Abstract
The effectiveness of time-delay artificial neural networks (TDANNs) as highly nonlinear mapping tools for simulation of hysteresis stress-strain (σ-ε) response of geomaterials under repeated reversal loading is investigated. A nonlinear recursive simulator containing the developed TDANNs was designed to enable forecasting of complete σ-ε curves from the knowledge of only the initial σ-ε condition of the tested material. Theoretically-obtained data were used to derive the TDANNs, and simulations were performed to validate the proposed approach. Advantages, limitations, and method of enhancement of the approach are presented.
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Published In
Journal of Materials in Civil Engineering
Volume 14 • Issue 3 • June 2002
Pages: 270 - 273
Copyright
Copyright © 2002 American Society of Civil Engineers.
History
Received: Feb 22, 2000
Accepted: Mar 23, 2001
Published online: May 15, 2002
Published in print: Jun 2002
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