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Prediction of ductile damage behavior in biaxial samples by different ductile damage criteria

delete2026-05-23
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PRE
AI
A
Aboutalebi, F. Haji *
N
Nezhad, M. S. Sadeghi
Z
Ziaratgahi, R. Torabi
DOI:10.1016/j.engfracmech.2026.112074delete
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Abstract

Abstract

En 中文
Due to the complex conditions, fracture prediction of sheet metals under biaxial loadings remains a major challenge in forming industrial applications. In this research, a comprehensive study is conducted to evaluate the prediction accuracy of coupled and uncoupled ductile damage models in sheet metal biaxial specimens. For this goal, first, three biaxial instances of S-shape, H-shape, and X-shape are designed and made of SS304 stainless steel material. Then, the uncoupled damage models of Hooputra and Bai-Wierzbicki as well as the coupled models of original Lemaitre, Lode improved, and functional damage parameter are developed and implemented via the user defined VUMAT subroutines. Following, the numerical prediction results of ductile damage behavior in the biaxial specimens are achieved and compared with related experimental tests. The comparisons reveal that the coupled damage models outperform the uncoupled criteria, particularly the Lemaitre model with functional damage parameter exhibits excellent precision and error below 2%. Finally, the impact of varying biaxial extension ratio on damage evolution and fracture mechanism is fully analyzed, showing a strong dependence of damage accumulation and failure mode on the applied loading. These findings powerfully highlight the crucial importance of coupled damage modeling of biaxial samples and provide valuable insights for enhancing the forming processes safety, design reliability, and development of damage tolerant components in sheet metal forming industries.
Keywords:
Ductile damage behavior prediction
Biaxial specimens
Coupled and uncoupled damage models
Finite element simulation
VUMAT
Different biaxial extension ratios

Journal

Engineering Fracture Mechanics cover
Engineering Fracture Mechanics
IF:
5.3
Papers:
4.6K
Citations:
3.2W

Organization

U
university of isfahan
Scholars:
362
Papers: 203
Citations: 0
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