Identification of inelastic parameters of the AISI 304 stainless steel: a multi-test optimization strategy

DOI10.1080/17415977.2020.1733997zbMath1465.74066OpenAlexW3012536882MaRDI QIDQ4991533

Masato Tomiyama, M. jun. Vaz

Publication date: 3 June 2021

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2020.1733997

zbMATH Keywords

parameter identificationstainless steelNelders-Mead optimization algorithm

Mathematics Subject Classification ID

Small-strain, rate-independent theories of plasticity (including rigid-plastic and elasto-plastic materials) (74C05) Experimental work for problems pertaining to mechanics of deformable solids (74-05) Inverse problems in equilibrium solid mechanics (74G75) Optimization problems in solid mechanics (74P99)

Uses Software

• fminsearch
• HYPLAS

Cites Work

• Unnamed Item
• A cascade optimization methodology for automatic parameter identification and shape/process optimization in metal forming simulation
• Inverse approach to identification of material parameters of cyclic elasto-plasticity for component layers of a bimetallic sheet.
• Theoretical, numerical and identification aspects of a new model class for ductile damage
• Identification of material parameters for inelastic constitutive models: statistical analysis and design of experiments
• A viscoelastic viscoplastic constitutive model including mechanical degradation: uniaxial transient finite element formulation at finite strains and application to space truss structures
• Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
• A new hybrid real-coded genetic algorithm and its application to parameters identification of soils
• A Simplex Method for Function Minimization

This page was built for publication: Identification of inelastic parameters of the AISI 304 stainless steel: a multi-test optimization strategy