Investigating strain rate effects on elastoplastic fracture using a variable material properties-based peridynamic model

• The VMPB-PD method integrates VMP and BB-PD to model elastoplastic fracture under various strain rates. • Higher strain rates reduce plastic strain at crack tips, altering crack propagation paths and intensifying stress distributions. • The model predicts stress-strain responses and crack growth in soft materials with a maximum error of 8 %. • The JC model enables analysis of strain rate-dependent ductile fracture, showing increased yield strength at higher rates. This study addresses a significant limitation in bond-based peridynamic (BB-PD) models, which have traditionally struggled to predict failure in ductile materials. The research introduces a novel approach to enhance the capabilities of BB-PD by incorporating the Variable Material Property (VMP) method, enabling accurate modeling of elastoplastic behavior. By integrating the Johnson–Cook material model, which accounts for strain rate dependency, the proposed Variable Material Properties-Based Peridynamic (VMPB-PD) method effectively characterizes elastoplastic deformations. Numerical results, validated against experimental data from the literature, demonstrate the accuracy of the model, with a maximum prediction error of 8 %. This new method shows strong agreement with experimental findings, providing a significant improvement in simulating fracture behavior under varying loading rates.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2024-12-13
DOI
https://doi.org/10.1016/j.rineng.2024.103739
Citations
6
Primary Topic
Numerical methods in engineering
Type
article
Field-Weighted Citation Impact
1.62
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating strain rate effects on elastoplastic fracture using a variable material properties-based peridynamic model

Ahmad Ghasemi‐Ghalebahman, M. Shakouri, Mohammad-Hadi Safari-Naderi
6 citations
Results in Engineering
Numerical methods in engineering
1.62
article

Investigating strain rate effects on elastoplastic fracture using a variable material properties-based peridynamic model

Ahmad Ghasemi‐Ghalebahman, M. Shakouri, Mohammad-Hadi Safari-Naderi
article en
6 citations

Abstract

• The VMPB-PD method integrates VMP and BB-PD to model elastoplastic fracture under various strain rates. • Higher strain rates reduce plastic strain at crack tips, altering crack propagation paths and intensifying stress distributions. • The model predicts stress-strain responses and crack growth in soft materials with a maximum error of 8 %. • The JC model enables analysis of strain rate-dependent ductile fracture, showing increased yield strength at higher rates. This study addresses a significant limitation in bond-based peridynamic (BB-PD) models, which have traditionally struggled to predict failure in ductile materials. The research introduces a novel approach to enhance the capabilities of BB-PD by incorporating the Variable Material Property (VMP) method, enabling accurate modeling of elastoplastic behavior. By integrating the Johnson–Cook material model, which accounts for strain rate dependency, the proposed Variable Material Properties-Based Peridynamic (VMPB-PD) method effectively characterizes elastoplastic deformations. Numerical results, validated against experimental data from the literature, demonstrate the accuracy of the model, with a maximum prediction error of 8 %. This new method shows strong agreement with experimental findings, providing a significant improvement in simulating fracture behavior under varying loading rates.

Results in EngineeringVol. 25
Semnan University (IR)
Openalex Percentile: Top 18%
Numerical methods in engineering
1.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.