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A Peridynamics-Based Micromechanical Modeling Approach for Random Heterogeneous Structural Materials.

Sumeru Nayak¹, R Ravinder², N M Anoop Krishnan²

¹Civil and Environmental Engineering, University of Rhode Island, Kingston, RI 02881, USA.

Materials (Basel, Switzerland)

|March 19, 2020

Summary

This summary is machine-generated.

This study introduces a peridynamics framework for analyzing material failure in heterogeneous composites. The method accurately predicts material behavior and facilitates microstructure-guided design.

Keywords:

critical stretch micromechanical modeling particulate reinforced cementitious composites random heterogeneous structural materials state-based peridynamics

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Area of Science:

Computational mechanics
Materials science
Multiscale modeling

Background:

Conventional methods struggle with discontinuities like fracture in heterogeneous materials.
Microstructural details are crucial for predicting composite behavior.
Need for efficient analysis of random heterogeneous materials with complex failure modes.

Purpose of the Study:

To develop a peridynamics-based micromechanical framework for efficient material failure analysis.
To enable microstructure-guided design of heterogeneous structural materials.
To handle discontinuities and predict effective constitutive responses.

Main Methods:

Peridynamics-based micromechanical analysis framework.
Generation of representative unit cells from microstructural data.
Assignment of distinct material behaviors to constituent phases.
Incorporation of spontaneous failure initiation and propagation via critical stretch criterion.

Main Results:

Accurate prediction of effective constitutive response for heterogeneous materials.
Successful application to metallic particulate-reinforced cementitious composites.
Simulated mechanical responses show excellent agreement with experimental data.

Conclusions:

The peridynamics framework efficiently handles material failure in random heterogeneous materials.
The method overcomes limitations of conventional continuum approaches for discontinuities.
The framework is effective for microstructure-guided material design in composites.