Unified prediction of uniaxial ratcheting deformation at elevated temperatures with physics-informed multimodal network

IF 9.4 1区 材料科学 Q1 ENGINEERING, MECHANICAL
Zhen Yu , Xingyue Sun , Ruisi Xing , Xu Chen
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引用次数: 0

Abstract

The ratcheting behavior of plastic deformation accumulation under asymmetric loading poses significant risks to the safe service of engineering structures. For accurate prediction of the ratcheting behavior of the material, a physics-informed multimodal network named Dual Stream GRU (DSGRU) model is proposed with training and validation of 316LN stainless steel samples. By incorporating the unrecoverable characteristic of ratcheting behavior into the loss function, there is a significant improvement in the prediction and generalization performance of the DSGRU model. Meanwhile, the multimodal network enables the model to consider material properties at different temperatures. Through sufficient constitutive simulation samples, the DSGRU model with optimal architecture is well-trained and transferred to small sample experimental samples with fine-tuning method. Whether in pre-training or transfer learning processes, the physics-informed loss function ensures the physical consistency of predicted results.
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来源期刊
International Journal of Plasticity
International Journal of Plasticity 工程技术-材料科学:综合
CiteScore
15.30
自引率
26.50%
发文量
256
审稿时长
46 days
期刊介绍: International Journal of Plasticity aims to present original research encompassing all facets of plastic deformation, damage, and fracture behavior in both isotropic and anisotropic solids. This includes exploring the thermodynamics of plasticity and fracture, continuum theory, and macroscopic as well as microscopic phenomena. Topics of interest span the plastic behavior of single crystals and polycrystalline metals, ceramics, rocks, soils, composites, nanocrystalline and microelectronics materials, shape memory alloys, ferroelectric ceramics, thin films, and polymers. Additionally, the journal covers plasticity aspects of failure and fracture mechanics. Contributions involving significant experimental, numerical, or theoretical advancements that enhance the understanding of the plastic behavior of solids are particularly valued. Papers addressing the modeling of finite nonlinear elastic deformation, bearing similarities to the modeling of plastic deformation, are also welcomed.
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