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Title:Neural Network-Based Constitutive Modeling of Granular Material
Author(s):Sidarta, Djoni Eka
Doctoral Committee Chair(s):Ghaboussi, Jamshid
Department / Program:Civil Engineering
Discipline:Civil Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Engineering, Civil
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.
Issue Date:2000
Type:Text
Language:English
Description:157 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.
URI:http://hdl.handle.net/2142/83509
Other Identifier(s):(MiAaPQ)AAI9971194
Date Available in IDEALS:2015-09-25
Date Deposited:2000


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