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Peng Zhang

Tongji University

1239 Siping Road

Shanghai, 200092

China

SCHOLARLY PAPERS

6

DOWNLOADS

311

TOTAL CITATIONS

0

Scholarly Papers (6)

1.

Deep Learning-Based Semantic Segmentation for Morphological Fractography

Number of pages: 36 Posted: 09 Jan 2024
Keke Tang, Peng Zhang, Yindun Zhao and Zheng Zhong
Tongji University, Tongji University, Tongji University and Tongji University
Downloads 132 (551,165)

Abstract:

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morphological fractography, deep learning, semantic segmentation, data augmentation, SegFormer

2.

ChebyKAN-Enhanced Deep Energy Method for Phase Field Fracture: From Homogeneous to Heterogeneous Materials

Number of pages: 44 Posted: 24 Feb 2026
Peng Zhang, Keke Tang and Bai-Xiang Xu
Tongji University, Tongji University and Technical University of Darmstadt - Mechanics of Functional Materials Division
Downloads 54 (1,031,043)

Abstract:

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phase field fracture, Kolmogorov-Arnold Networks, Deep Energy Method, Learnable activation functions, Chebyshev polynomials

A phase-field model of fatigue crack growth in thermo-elasto-plastic solids with cyclic plasticity and thermal loading

Number of pages: 48 Posted: 09 Apr 2026
Peng Zhang, Keke Tang and Bai-Xiang Xu
Tongji University, Tongji University and Technical University of Darmstadt - Mechanics of Functional Materials Division
Downloads 33 (1,311,254)

Abstract:

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Phase-field fracture, Fatigue crack growth, Chaboche cyclic plasticity, Thermo-mechanical coupling, Thermal conductivity degradation, Taylor-Quinney coefficient

A phase-field model of fatigue crack growth in thermo-elasto-plastic solids with cyclic plasticity and thermal loading

Number of pages: 48 Posted: 28 May 2026
Peng Zhang, Keke Tang and Bai-Xiang Xu
Tongji University, Tongji University and Technical University of Darmstadt - Mechanics of Functional Materials Division
Downloads 7 (1,646,315)

Abstract:

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Phase-field fracture, fatigue crack growth, Chaboche cyclic plasticity, Thermo-mechanical coupling, Thermal conductivity degradation, Taylor–Quinney coefficient

4.

On the Use of Graphical Features for Fatigue Life Prediction with Machine Learning

Number of pages: 26 Posted: 06 Sep 2024
Tongji University, Tongji University, Tongji University, Tongji University and affiliation not provided to SSRN
Downloads 35 (1,249,711)

Abstract:

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Fatigue life prediction, Graphical features, Convolutional neural networks, Attention mechanism

5.

From Brittle Fracture to Elastoplastic Fatigue: An Open-Source Phase Field Framework in Julia

Number of pages: 43 Posted: 08 Apr 2026
Peng Zhang, Dazhi Zhao and Keke Tang
Tongji University, Tongji University and Tongji University
Downloads 30 (1,359,097)

Abstract:

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Phase field fracture, Fatigue crack growth, Elastoplasticity, Open-source, Julia/Gridap

6.

An Energy-Based Differentiable Finite Element Framework for Elastic and Path-Dependent Elastoplastic Solids

Number of pages: 42 Posted: 01 May 2026
Peng Zhang and Keke Tang
Tongji University and Tongji University
Downloads 20 (1,459,862)

Abstract:

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Deep energy method, finite element integration, path-dependent plasticity, J2 plasticity, differentiable computing, Physics-informed neural network, elastoplasticity