A neural network tool for identifying the material parameters of a finite deformation viscoplasticity model with static recovery-Reference-Cited by-同舟云学术

A neural network tool for identifying the material parameters of a finite deformation viscoplasticity model with static recovery

Published:2001-11 Issue:3-5 Volume:191 Page:353-384
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Huber N.,Tsakmakis Ch.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference22 articles.

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2. J. Schwertel, Modellierung des einachsigen mechanischen Verhaltens von Werkstoffen durch viskoplastische Stoffmodelle, Ph.D. Thesis, Fortschrittsberichte VDI/Reihe 5, Grund- und Werkstoffe 306, VDI-Verlag, 1993 (in German)

3. Neural networks in computational mechanics;Yagawa;Modelling Simulation Mater. Sci. Engrg.,1996

4. Mechanics of Solid Materials;Lemaitre,1993

5. Identification of material parameters for inelastic constitutive models: Stochastic simulation for the analysis of deviations;Seibert;Continuum Mech. Thermodyn.,2000

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