A strain gradient brittle fracture model based on two-scale asymptotic analysis

Based on a two-scale asymptotic analysis procedure, we rigorously derive a new macroscopic brittle fracture model for materials with micro-cracks inside. Strain gradient effects are naturally involved in the model in the absence of any phenomenological assumptions. Coefficients of the fracture crite...

Full description

Saved in:
Bibliographic Details
Published in:Journal of the mechanics and physics of solids 2022-02, Vol.159, p.104752, Article 104752
Main Authors: Rao, Yipeng, Xiang, Meizhen, Cui, Junzhi
Format: Article
Language:English
Subjects:
Asymptotic analysis
Asymptotic methods
Asymptotic properties
Brittle fracture
Griffith criterion
Mathematical models
Microcracks
Size effects
Strain gradient
Tensors
Unit cell
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Based on a two-scale asymptotic analysis procedure, we rigorously derive a new macroscopic brittle fracture model for materials with micro-cracks inside. Strain gradient effects are naturally involved in the model in the absence of any phenomenological assumptions. Coefficients of the fracture criterion are expressed in form of derivatives of the fourth- and sixth-order effective elastic tensors that are explicitly related to solutions of the first order unit cell problems. The model is numerically implemented into a finite element code. Abilities of the model to predict microstructure size effects and strain gradient effects on macro fracture behaviors are confirmed by numerical simulations. The model is also validated against experimental measurements. •A new fracture model for brittle materials with many microcracks inside is deduced based on two-scale analysis.•Strain gradient effects is naturally involved in the model.•The model parameters are expressed in form of derivatives the fourth- and sixth order effective elastic tensors.•The model is well validated against experiment data.
ISSN:0022-5096
1873-4782
DOI:10.1016/j.jmps.2021.104752