A Computationally Tractable Framework for Nonlinear Dynamic Multiscale Modeling of Membrane Fabric
Philip Avery, Daniel Z. Huang, Wanli He, Johanna Ehlers, Armen, Derkevorkian, Charbel Farhat

TL;DR
This paper introduces a computational framework for nonlinear dynamic multiscale modeling of membrane fabrics, combining finite element methods with surrogate models to efficiently simulate complex heterogenous materials like parachute fabrics.
Contribution
It generalizes the FE2 method for membranes, integrating surrogate modeling with physics-based training for efficient nonlinear dynamic analysis.
Findings
Validated framework on parachute fabric inflation simulation
Compared surrogate models, including neural networks, for efficiency and accuracy
Demonstrated computational tractability for complex membrane structures
Abstract
A general-purpose computational homogenization framework is proposed for the nonlinear dynamic analysis of membranes exhibiting complex microscale and/or mesoscale heterogeneity characterized by in-plane periodicity that cannot be effectively treated by a conventional method, such as woven fabrics. The framework is a generalization of the "finite element squared" (or FE2) method in which a localized portion of the periodic subscale structure is modeled using finite elements. The numerical solution of displacement driven problems involving this model can be adapted to the context of membranes by a variant of the Klinkel-Govindjee method[1] originally proposed for using finite strain, three-dimensional material models in beam and shell elements. This approach relies on numerical enforcement of the plane stress constraint and is enabled by the principle of frame invariance. Computational…
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