首页|期刊导航|铁道工程科学（英文）|Computer vision-aided DEM study on the compaction characteristics of graded subgrade filler considering realistic coarse particle shapes

Computer vision-aided DEM study on the compaction characteristics of graded subgrade filler considering realistic coarse particle shapes

Taifeng Li Kang Xie Xiaobin Chen Zhixing Deng Qian Su

铁道工程科学（英文）2024，Vol.32Issue(2)：194-210,17.

铁道工程科学（英文）2024，Vol.32Issue(2)：194-210,17.DOI:10.1007/s40534-023-00325-1

Computer vision-aided DEM study on the compaction characteristics of graded subgrade filler considering realistic coarse particle shapes

Taifeng Li ¹Kang Xie ²Xiaobin Chen ³Zhixing Deng ²Qian Su⁴

作者信息

1. Railway Engineering Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China
2. Department of Civil Engineering,Central South University,Changsha 410075,China||School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China
3. Department of Civil Engineering,Central South University,Changsha 410075,China
4. School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China
折叠

摘要

关键词

Subgrade filler particles/Deep learning particle/Shape analysis/Particle library/Compaction characteristics/Discrete element method(DEM)

Key words

Subgrade filler particles/Deep learning particle/Shape analysis/Particle library/Compaction characteristics/Discrete element method(DEM)

引用本文复制引用

Taifeng Li,Kang Xie,Xiaobin Chen,Zhixing Deng,Qian Su..Computer vision-aided DEM study on the compaction characteristics of graded subgrade filler considering realistic coarse particle shapes[J].铁道工程科学（英文）,2024,32(2):194-210,17.

基金项目

This work was supported by the National Key R&D Program'Transportation Infrastructure'project(No.2022YFB2603400). （No.2022YFB2603400）

铁道工程科学（英文）

ISSN：2662-4745

访问量0

下载量0

段落导航