[Poster Presentation]基于神经网络的颗粒材料多尺度计算框架

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

基于神经网络的颗粒材料多尺度计算框架

ID：89 Submission ID：234 View Protection：ATTENDEE Updated Time：2024-04-09 22:40:13 Hits：364 Poster Presentation

Start Time：Pending （Asia/Shanghai）

Duration：Pending

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

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Abstract

采用连续离散耦合方法通过高斯过程生成大量随机加载路径试验数据，并基于此对神经网络模型进行训练来替代连续离散耦合方法中代表体积单元处的计算，通过主动学习机制提高特征点位置的学习精度，以反馈给有限元模型准确应力等信息。通过引入物理扩展与对称性假设等方法，改进网络单元结构，扩充网络学习中需要的相关物理先验信息，提升模型精度与泛化能力，提高在有限数据集情况下网络表现能力。在不同的算例下进行验证，对比传统有限元方法体现出较好的计算效率与预测结果。

Keywords

颗粒材料，计算力学，神经网络，多尺度计算

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