STOchastic Multi-scale Modeling Methodologies for the Assessment of failure performance of Composite materials. - STOMMMAC

Project summary

Although composite materials offer many advantages, such as high strength-to-weight ratio, enhanced potentials for material and structure design, and many others, their potential is not realized in practice because their properties after manufacturing suffer from scatter, leading to over-designed structures. The aim of the project is to develop an original stochastic modeling methodology, based on mean-field homogenization, able to predict the probabilistic distribution of the composite material and structure responses by taking into account constituent material and microstructural uncertainties. Such a tool can then be used to tailor the manufacturing and design process in order to ensure that the expected macro-scale performance is achieved, thus minimizing material/structural oversizing. The project will focus on two types of composite materials, namely short (SFRP) and continuous (CFRP) fiber composite polymers, as well as two performance indicators: static and fatigue failure.

Project Details

Call

Call 2014


Call Topic

Integrated Computational Materials Engineering (ICME)


Project start

01.01.2016


Project end

31.12.2018


Total project costs

2.264.768 €


Total project funding

1.488.891 €


TRL

-


Coordinator

Dr. Laurent ADAM

MSC Software Belgium S.A., Axis Park – Building H. 9, Rue Emile Francqui, 1435 Mont-Saint-Guibert, Belgium


Partners and Funders Details

Consortium Partner   Country Funder
MSC Software Belgium S.A.
https://www.e-xstream.com
Large industry Belgium BE-SPW
University of Liège
https://www.ulg.ac.be
University Belgium BE-SPW
Johannes Kepler Universität
https://www.jku.at/ippe
University Austria AT-FFG
Action Composites Gmbh
https://www.action-composites.com
Large industry Austria AT-FFG
BATZ S.Coop.
http://www.batz.com/home.php
Large industry Spain ES-Innobasque

Keywords

stochastic models, computational materials science, failure, multi-scale modeling, composites