A Stochastic Approach for Damage Modelling of Cast Alloys

Christian Mühlstätter

2018

Abstract

The increasing interest of cast Aluminium alloys in structural application asks for appropriate simulation approaches. Besides the constitutive behaviour, damage properties play an important role for this material. The damage behaviour is significantly influenced by the microstructure. Due to the specific morphology of cast microstructure and the random spatial deviation of voids, a novel concept of material modelling is necessary. In this study, a concept for stochastic material characterisation and modelling in structural Finite Element simulations is introduced. Therefore, a test matrix for experimental tests is discussed. Based on the generated experimental data a stochastic evaluation is performed by a goodness-of-fit test. The achieved characterisation knowledge is used to introduce the concept for stochastic material modelling of Aluminium cast alloys.

Paper Citation

in Harvard Style

Mühlstätter C. (2018). A Stochastic Approach for Damage Modelling of Cast Alloys.In Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-323-0, pages 467-471. DOI: 10.5220/0006909904670471

in Bibtex Style

@conference{simultech18,
author={Christian Mühlstätter},
title={A Stochastic Approach for Damage Modelling of Cast Alloys},
booktitle={Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2018},
pages={467-471},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006909904670471},
isbn={978-989-758-323-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - A Stochastic Approach for Damage Modelling of Cast Alloys
SN - 978-989-758-323-0
AU - Mühlstätter C.
PY - 2018
SP - 467
EP - 471
DO - 10.5220/0006909904670471