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
laurent.adam@e-xstream.com
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 |