4.7 Article

Multiscale modeling of coupled thermo-mechanical behavior of granular media in large deformation and flow

Journal

COMPUTERS AND GEOTECHNICS
Volume 149, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.compgeo.2022.104855

Keywords

Thermo-mechanical; Granular; Multiscale; Large deformation; MPM; DEM

Funding

  1. National Natural Science Foundation of China [51909095, 11972030]
  2. Guangdong Basic and Applied Basic Research Foundation, China [2022A1515010848]
  3. Research Grants Council of Hong Kong [16211221]
  4. Second Tibetan Plateau Scientific Expedition and Research (SETP) , China program [2019QZKK0905]
  5. Strategic Priority Research Program of the Chinese Academy of Sciences, China [XDA19070504]
  6. Guangdong Provincial Key Laboratory of Modern Civil Engineering Technology, China [2021B1212040003]
  7. Project of Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone [HZQB-KCZYB-2020083]

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The text discusses the intricate coupling between heat generation and transfer with mechanical responses in granular materials, introducing a novel hierarchical multiscale modeling framework TM-DEMPM. This framework utilizes Material Point Method coupled with Discrete Element Method to provide physics-based simulations of thermo-mechanical granular responses, with a proposed hybrid OpenMP and GPU-based parallelization for faster numerical solutions.
Heat generation and transfer in a granular material can be intricately coupled with their mechanical responses, playing a key role in causing excessive large deformation, flow and failure of the material. The coupling may manifest in various forms, including thermal induced stress, mechanically induced heat and thermally induced melting in granular media. We propose a novel hierarchical multiscale modeling framework, TM-DEMPM, to model the coupled thermo-mechanical behavior in granular media which may undergo large deformation and flow. Material Point Method (MPM) is hierarchically coupled with Discrete Element Method (DEM) to offer physics-based, natural scale-crossing simulations of thermo-mechanical granular responses without assuming complicated phenomenological constitutive models. To offer speedup for the numerical solution, hybrid OpenMP and GPU-based parallelization is proposed to take advantage of the hierarchical computing structure of the framework. The proposed framework may provide an effective and efficient pathway to next-generation simulation of engineering-scale large-deformation problems that involve complicated thermo-mechanical coupling in granular media.

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