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Updated: May 29, 2026

A Method for Studying the Temperature Dependence of Dynamic Fracture and Fragmentation

A Method for Studying the Temperature Dependence of Dynamic Fracture and Fragmentation

Published on: June 28, 2015

Propagating mode-I fracture in amorphous materials using the continuous random network model.

Shay I Heizler¹, David A Kessler, Herbert Levine

¹Department of Physics, Bar-Ilan University, Ramat-Gan, IL52900 Israel.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|September 21, 2011

Summary

This summary is machine-generated.

Atomistic simulations reveal how cracks propagate in amorphous materials. The study successfully models microbranching and crack velocity oscillations, matching experimental observations for mode-I fracture.

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Last Updated: May 29, 2026

A Method for Studying the Temperature Dependence of Dynamic Fracture and Fragmentation

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Published on: June 28, 2015

Fracture Apparatus Design and Protocol Optimization for Closed-stabilized Fractures in Rodents

Fracture Apparatus Design and Protocol Optimization for Closed-stabilized Fractures in Rodents

Published on: August 14, 2018

Area of Science:

Materials Science
Computational Physics
Solid Mechanics

Background:

Amorphous materials exhibit complex fracture behavior.
Atomistic simulations are crucial for understanding material failure at a fundamental level.
Previous atomistic models struggled to achieve steady-state crack propagation in amorphous materials.

Purpose of the Study:

To investigate mode-I fracture propagation in two-dimensional amorphous materials.
To develop and validate an atomistic simulation approach for modeling crack behavior.
To compare simulation results with experimental observations of fracture phenomena.

Main Methods:

Utilized the continuous random network model for amorphous material generation.
Employed a 2D analog of the Wooten-Winer-Weaire Monte Carlo algorithm for sample creation.
Performed molecular-dynamics simulations to model crack propagation under constant driving displacement.

Main Results:

Achieved steady-state crack propagation, a feat not previously accomplished in atomistic models for amorphous materials.
Observed microbranching that intensified with increasing driving force, transitioning to macrobranching at higher drivings.
Successfully reproduced experimentally observed oscillations in crack velocity.

Conclusions:

Atomistic simulations can accurately capture key features of mode-I fracture in amorphous materials.
The simulation methodology provides a robust platform for studying fracture mechanics.
The findings offer insights into the fundamental mechanisms governing crack propagation and material failure.