Identification of material parameters for inelastic constitutive models: statistical analysis and design of experiments-Reference-Cited by-同舟云学术

Identification of material parameters for inelastic constitutive models: statistical analysis and design of experiments

Published:2004-08 Issue:8-9 Volume:20 Page:1403-1440
ISSN:0749-6419
Container-title:International Journal of Plasticity
language:en
Short-container-title:International Journal of Plasticity

Author:

Harth T.,Schwan S.,Lehn J.,Kollmann F.G.

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference43 articles.

1. Quantitative Assessment of the Accuracy of Constitutive Laws for Plasticity with an Emphasis on Cyclic Deformation. Technical Note BN-1146;Babuska,1993

2. Theorie und Anwendung der optimalen Versuchsplanung I, II (Theory and Application of Optimum Experimental Design I, II);Bandemer,1980

3. Constitutive equations for elastic-viscoplastic strain hardening materials;Bodner;J. Appl. Mech.,1975

4. Braasch, H., 1993. Erfassung streuenden Materialverhaltens in Werkstoffmodellen (Analysis of Scattering Material Behaviour in Constitutive Models). Bericht No. 93–75 aus dem Institut für Statik der Technischen Universität Braunschweig, pp. 1-14.

5. Time Series: Theory and Methods;Brockwell,1991

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Uniaxial ratcheting and ductile damage in structural steel with a stochastic spreading of experimental data;ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik;2024-01-12

2. Rapid inverse calibration of a multiscale model for the viscoplastic and creep behavior of short fiber-reinforced thermoplastics based on Deep Material Networks;International Journal of Plasticity;2023-01

3. Probabilistic Analysis of Composite Materials with Hyper-Elastic Components;Materials;2022-12-12

4. Inspection of ratcheting models for pathological error sensitivity and overparametrization;Meccanica;2022-05-28

5. Bayesian analysis for estimating statistical parameter distributions of elasto-viscoplastic material models;Probabilistic Engineering Mechanics;2021-10