MS13 - Computational Modeling and Simulation of Composite Materials

Keywords: Composite materials; Computational modeling; Multiscale analysis; Fatigue damage; Fracture mechanics; Machine learning; Material validation; Advanced material models

Organizers:
Aamir Dean (1) – a.dean@isd.uni-hannover.de
Pavan Kumar Asur (2) – pavan.kumar@ilsb.tuwien.ac.at
Raimund Rolfes (1) – r.rolfes@isd.uni-hannover.de

Affiliations:
(1) Institute of Structural Analysis, Leibniz Universität Hannover, Germany
(2) Institute of Lightweight Design and Structural Biomechanics, Technische Universität Wien, Austria

Abstract:
Composite materials are pivotal in advanced engineering sectors such as aerospace, wind energy, and automotive industries. Their remarkable strength-to-weight ratio, fatigue resistance, and tunable properties make them indispensable for high-stress applications. However, their inherent heterogeneity and anisotropy pose significant challenges in accurately modeling and predicting their behavior across scales under complex loading conditions.

This minisymposium aims to provide a platform for researchers and industry professionals to exchange insights and recent advancements in computational modeling and simulation of composite materials. Contributions presenting novel theoretical frameworks, numerical methods, and experimental validations, as well as interdisciplinary approaches are welcome. Topics of interest include, but are not limited to:

  • Multiscale Modeling: Bridging scales to predict composite behavior.
  • Failure and Fatigue Analysis: Simulating fracture, damage, and fatigue under various loads.
  • Advanced Material Models: Constitutive models for plasticity, damage, and environmental effects.
  • Machine Learning: AI-driven methods, including PINNs, for efficient modeling.
  • Material Validation: Experimental techniques to validate and uncover multi-scale behavior