Sweeping process approach to stress analysis in elastoplastic Lattice Springs Models with applications to Hyperuniform Network Materials

TL;DR

This paper introduces a sweeping process-based computational framework for analyzing elastoplastic stresses in disordered hyperuniform network materials, enabling efficient tracking of plastic events and revealing enhanced mechanical properties.

Contribution

It develops a novel leapfrog numerical scheme connecting sweeping process theory to lattice spring models with plasticity, applicable to hyperuniform disordered materials.

Findings

Hyperuniform networks show increased stiffness and strength.

The framework accurately tracks plastic events in complex materials.

Enhanced mechanical properties correlate with hyperuniformity degree.

Abstract

Disordered network materials abound in both nature and synthetic situations while rigorous analysis of their nonlinear mechanical behaviors still is very challenging. The purpose of this paper is to connect the mathematical framework of sweeping process originally proposed by Moreau to a generic class of Lattice Spring Models with plasticity phenomenon. We explicitly construct a sweeping process and provide numerical schemes to find the evolution of stresses in a Lattice Spring Model with infinitesimal strains and perfect plasticity. In particular, we develop a highly efficient "leapfrog" computational framework that allow ones to rigorously track the progression of plastic events in the system based on the sweeping process theory. The utility of our framework is demonstrated by analyzing the elastoplastic stresses in a novel class of disordered network materials exhibiting the property of hyperuniformity, in which the infinite wave-length density fluctuations associated with the distribution of network nodes are completely suppressed. We find enhanced mechanical properties such as increasing stiffness, yield strength and tensile strength as the degree of hyperuniformity of the material system increases. Our results have implications for optimal network material design and our event-based framework can be readily generalized for nonlinear stress analysis of other heterogeneous material systems. We also include some insights to the model from the viewpoint of the rigidity theory.