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English(EN) A Gaussian Process State Space Formulation for Materials Constitutive Modeling: Application to Quasi-brittle Materials

新的高斯过程模型增强了材料本构建模

研究人员开发了一种新颖的高斯过程状态空间模型(GP-SSM),以改进历史相关材料的本构建模。这一新框架用灵活的GP回归取代了传统的固定函数形式,并直接从可观察的应力-应变历史中学习潜在状态变量,自然地融入了不确定性量化。GP-SSM被应用于三轴压缩下的准脆性材料,成功地重现了复杂的行为和结构响应,并已导出用于Abaqus/Explicit。 AI

影响 这项研究引入了一种更灵活、更具不确定性感知能力的材料建模方法,有望改进工程和计算科学中的模拟。

排序理由 该集群包含一篇详细介绍新建模技术的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

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新的高斯过程模型增强了材料本构建模

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该集群包含一篇详细介绍新建模技术的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Houlin Xu, Chenyang Li, K. T. Ramesh, Michael D. Shields ·

    高斯过程状态空间模型在材料本构建模中的应用:以准脆性材料为例

    arXiv:2610.33175v1 Announce Type: cross Abstract: Constitutive models for history-dependent, path-dependent materials typically encode this dependence in prescribed functional forms through internal variables such as damage or plastic strain that are phenomenological, model-depen…