Neural Network-Based Constitutive Modeling of Granular Material
Sidarta, Djoni Eka
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Permalink
https://hdl.handle.net/2142/83509
Description
Title
Neural Network-Based Constitutive Modeling of Granular Material
Author(s)
Sidarta, Djoni Eka
Issue Date
2000
Doctoral Committee Chair(s)
Ghaboussi, Jamshid
Department of Study
Civil Engineering
Discipline
Civil Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Civil
Language
eng
Abstract
An autoprogressive training simulator is developed, and non-linear finite element analysis is implemented to handle geometrically non-linear problems. This simulator is then used for the autoprogressive training of the NN material models using the results of drained triaxial compression tests with end friction.
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