Material model calibration against axial-torsion-pressure experiments accounting for the non-uniform stress distribution
Journal article, 2019

The need to calibrate material models towards complex multiaxial stress states has received much attention in the last decades. Such stress states are often obtained by axial, torsion and pressure experiments on tubular test bars. These experiments are typically simulated by considering the behavior in a single material point, using the thin-walled assumption of uniform stresses and strains. In this paper, a new simulation methodology that does not rely on the thin-walled assumption has been developed. The accuracy improvements are compared with experimental uncertainties for tubular test bars. Compared to using ABAQUS for equivalent simulations, a speed increase of 100–200 times was found. This simulation methodology has been implemented in an open source software material calibration software called matmodfit. The calibration of material parameters is first demonstrated for cyclic ratcheting axial-torsion experiments using thin-walled test bars. Thereafter, calibration of material parameters from experiments on solid test bars subjected to very large shear deformation under axial compression is performed. This demonstrates a key advantage with the proposed method: Thick-walled or even solid test bars can be modeled without loss of simulation accuracy at a low computational cost.

Constitutive modeling

Material model calibration

Large shear strains

Axial-torsion-pressure simulation

Multiaxial loading


Knut Andreas Meyer

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Magnus Ekh

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Johan Ahlström

Chalmers, Industrial and Materials Science, Engineering Materials

Finite Elements in Analysis and Design

0168-874X (ISSN)

Vol. 163 1-13

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Subject Categories

Applied Mechanics

Other Materials Engineering

Vehicle Engineering


C3SE (Chalmers Centre for Computational Science and Engineering)



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