Material model calibration against axial-torsion-pressure experiments accounting for the non-uniform stress distribution
Artikel i vetenskaplig tidskrift, 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.

Large shear strains

Material model calibration

Multiaxial loading

Constitutive modeling

Axial-torsion-pressure simulation

Författare

Knut Andreas Meyer

Chalmers, Industri- och materialvetenskap, Material- och beräkningsmekanik

Magnus Ekh

Chalmers, Industri- och materialvetenskap, Material- och beräkningsmekanik

Johan Ahlström

Chalmers, Industri- och materialvetenskap, Konstruktionsmaterial

Finite Elements in Analysis and Design

0168-874X (ISSN)

Vol. 163 1-13

In2Track

Europeiska kommissionen (Horisont 2020), 2016-12-01 -- 2020-12-31.

Ämneskategorier

Teknisk mekanik

Annan materialteknik

Farkostteknik

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

DOI

10.1016/j.finel.2019.05.006

Mer information

Senast uppdaterat

2019-07-15