A variational approach to effective models for inelastic systems
Ghina Jezdan, Sanjay Govindjee, Klaus Hackl

TL;DR
This paper introduces a variational method to develop efficient multi-scale models for inelastic systems, capturing complex microstructural behavior with fewer degrees of freedom while maintaining mathematical fidelity.
Contribution
It presents a novel variational framework for constructing coarse-scale inelastic models that are computationally efficient and structurally consistent with fine-scale models.
Findings
The methodology accurately reproduces microstructural responses in classical plasticity.
Coarse models significantly reduce computational costs compared to direct simulations.
The approach preserves the mathematical structure of the original fine-scale models.
Abstract
Given a set of inelastic material models, a microstructure, a macroscopic structural geometry, and a set of boundary conditions, one can in principle always solve the governing equations to determine the system's mechanical response. However, for large systems this procedure can quickly become computationally overwhelming, especially in three-dimensions when the microstructure is locally complex. In such settings multi-scale modeling offers a route to a more efficient model by holding out the promise of a framework with fewer degrees of freedom, which at the same time faithfully represents, up to a certain scale, the behavior of the system. In this paper, we present a methodology that produces such models for inelastic systems upon the basis of a variational scheme. The essence of the scheme is the construction of a variational statement for the free energy as well as the dissipation…
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Taxonomy
TopicsElasticity and Material Modeling · Advanced Mathematical Modeling in Engineering · Composite Material Mechanics
