[Oral Presentation]基于格子玻尔兹曼法的快速颗粒流体两相流模拟

Organized By

Hohai University

Monash University

Co-organized by

Southeast University

Jiangxi University of Science and Technology

Northeast University

DUT-BSU Scientific Research and Innovation Center

Suzhou University of Science and Technology

State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment

Sponsoring agency

KELI SDEM Software (Dalian) Co., Ltd.

Sugon Smart Computing Information Technology Co., Ltd.

Beijing Paratera Technology Co., Ltd.

Simpop Information Technology Co., Ltd.

Important Dates

Conference Announcement

December 2023, release First Round Announcement
Abstract Submission Deadline
March 31^th, 2024
Paper Submission Deadline
April 30^th, 2024
Registration
From January 1^st, 2024
Conference Schedule
May 31^st (Friday), 2024 On-Site Registration
June 1^st to 3^rd, 2024 Conference

基于格子玻尔兹曼法的快速颗粒流体两相流模拟

ID：151 Submission ID：145 View Protection：ATTENDEE Updated Time：2024-04-10 17:20:30 Hits：560 Oral Presentation

Start Time：Pending （Asia/Shanghai）

Duration：Pending

Session：[No Session] » [No Session Block]

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Abstract

基于格子玻尔兹曼法（LBM）中的浸没运动边界法(IMB)耦合离散单元法(DEM)实现了两个层次的颗粒流体两相流模拟，一种是颗粒解析的直接数值模拟（PR-DNS），一种是颗粒非解析的离散颗粒模拟（DPS）。PR-DNS下颗粒比流体网格大一个量级，不引入假设直接获得颗粒受力。DPS下颗粒比流体网格小一个量级，基于曳力方程关联流体-颗粒间作用，能够求解更大尺度的两相流问题。同时，还发展了PR-DNS与DPS的混合方法用于模拟体系内存在两种显著粒径差异颗粒的颗粒流体两相流问题，其支持两种颗粒粒径比超过100。结合GPU并行技术，实现了以上方法在GPU端的全流程并行求解，较传统的CFD-DEM方法加速一到两个量级，可作为一种准确、高效的颗粒流体两相流模拟手段。

Keywords

颗粒流体两相流，格子玻尔兹曼法，离散单元法，GPU计算

Speaker

付少童

中国科学院过程工程研究所

Submission Author

付少童中国科学院过程工程研究所

苏威特中国科学院过程工程研究所

王利民中国科学院过程工程研究所

Sponsored By

Hohai University

Panel of Computational Mechanics on Granular Materials, Working Party of Computational Mechanics, Chinese Society of Theoretical and Applied Mechanics

Jiangsu Society of Theoretical and Applied Mechanics