Multiscale Modelling with Abaqus
Predicting Composite Behavior by Linking Micro and Macro Scales
11 February 2027 at 14:00:00

Time & Location
11 Feb 2027, 15:00 – 16:00 CET
Online Training
About the Event
Why Composite Materials Need a Multiscale Approach
Composite materials have an inherently multiscale architecture: their macro level behavior emerges directly from what happens at the microstructure, in the matrix, fibres, and how they interact. Modelling a composite as a single homogeneous material can miss important nonlinear or history dependent behavior, while modelling every fibre and matrix interaction in full detail is often computationally out of reach. Multiscale modelling closes that gap by linking the micro and macro scales using various techniques, so macro level predictions stay grounded in actual microstructure behavior.
Webinar Scope
In this training, 4RealSim will introduce multiscale modelling of composites in Abaqus, focusing on Mean Field Homogenization (MFH) and its FE based alternative. Participants will learn how information flows between micro and macro scales, how to specify a composite's microstructure, and how to model both linear elastic and nonlinear short fibre reinforced composites. We will also cover the Micromechanics plug in, which automates Representative Volume Element (RVE) model creation and postprocessing.
Topics Covered
Multiscale modelling fundamentals: bottom up and top-down scale communication
MFH versus FE-RVE: accuracy and computational cost tradeoffs
Specifying composite microstructure: shape, volume fraction, aspect ratio, fibre orientation
Linear elastic composites: Voigt, Reuss, Mori-Tanaka, and balanced formulations
Multi-step homogenization for multi-inclusion or dispersed fibre composites
Composites with thermal expansion
Incremental MFH for nonlinear composites: plasticity, damage, and viscoelasticity
Isotropization methods and their effect on prediction accuracy
Micro and macro level output requests
Using the Micromechanics plug in for RVE generation and postprocessing
Deep Material Network (DMN), a reduced order, machine learning based approach for multiscale material modeling
Who Should Attend?
Simulation engineers modelling composite or fibre reinforced materials
Analysts working with short fibre reinforced or multi-inclusion composites
Engineers looking to predict macro behavior from microstructure data, or vice versa
Anyone evaluating MFH as an alternative to full FE-RVE modelling
Prerequisite
4RealSim Abaqus customer
