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RISClosure to “Stress‐Strain Modeling of Sands Using Artificial Neural Networks” by D. Penumadu
Publisher: American Society of Civil Engineers
Discussion: Seismic Liquefaction Potential Assessed by Neural Networks
Publisher: American Society of Civil Engineers
Discussion of “<i>Knowledge‐Based Modeling of Material Behavior with Neural Networks</i>” by J. Ghaboussi, J. H. Garrett Jr. and X. Wu (January, 1991, Vol. 117, No. 1)
Publisher: American Society of Civil Engineers
Stress-Strain Modeling of Sands Using Artificial Neural Networks
Publisher: American Society of Civil Engineers
Abstract: An attempt has been made to implement artificial neural networks (ANNs) for modeling the stress-strain relationship of sands with varying grain size distribution and stress history. A series of undrained triaxial compression ...
Characterizing Partially Saturated Compacted-Sand Specimen Using 3D Image Registration of High-Resolution Neutron and X-Ray Tomography
Publisher: American Society of Civil Engineers