Journal article 1296 views
A predictive deep learning framework for path-dependent mechanical behavior of granular materials
Acta Geotechnica, Volume: 17, Issue: 8, Pages: 3463 - 3478
Swansea University Authors:
Yuntian Feng , Shaoheng Guan Guan
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1007/s11440-021-01419-y
Abstract
A predictive deep learning framework for path-dependent mechanical behavior of granular materials
| Published in: | Acta Geotechnica |
|---|---|
| ISSN: | 1861-1125 1861-1133 |
| Published: |
Springer Science and Business Media LLC
2022
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa59484 |
| first_indexed |
2022-03-03T11:00:12Z |
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| last_indexed |
2023-01-11T14:40:48Z |
| id |
cronfa59484 |
| recordtype |
SURis |
| fullrecord |
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| spelling |
2022-08-04T10:12:24.3645110 v2 59484 2022-03-03 A predictive deep learning framework for path-dependent mechanical behavior of granular materials d66794f9c1357969a5badf654f960275 0000-0002-6396-8698 Yuntian Feng Yuntian Feng true false 8be5dace79e94a4d0abd32215a13f806 Shaoheng Guan Guan Shaoheng Guan Guan true false 2022-03-03 ACEM Journal Article Acta Geotechnica 17 8 3463 3478 Springer Science and Business Media LLC 1861-1125 1861-1133 Data-driven; DEM; Granular materials; LSTM cell; Path-dependency 1 8 2022 2022-08-01 10.1007/s11440-021-01419-y http://dx.doi.org/10.1007/s11440-021-01419-y COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2022-08-04T10:12:24.3645110 2022-03-03T10:57:02.3446363 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Gang Ma 1 Shaoheng Guan 0000-0003-1630-5493 2 Qiao Wang 3 Y. T. Feng 4 Wei Zhou 5 Yuntian Feng 0000-0002-6396-8698 6 Shaoheng Guan Guan 7 |
| title |
A predictive deep learning framework for path-dependent mechanical behavior of granular materials |
| spellingShingle |
A predictive deep learning framework for path-dependent mechanical behavior of granular materials Yuntian Feng Shaoheng Guan Guan |
| title_short |
A predictive deep learning framework for path-dependent mechanical behavior of granular materials |
| title_full |
A predictive deep learning framework for path-dependent mechanical behavior of granular materials |
| title_fullStr |
A predictive deep learning framework for path-dependent mechanical behavior of granular materials |
| title_full_unstemmed |
A predictive deep learning framework for path-dependent mechanical behavior of granular materials |
| title_sort |
A predictive deep learning framework for path-dependent mechanical behavior of granular materials |
| author_id_str_mv |
d66794f9c1357969a5badf654f960275 8be5dace79e94a4d0abd32215a13f806 |
| author_id_fullname_str_mv |
d66794f9c1357969a5badf654f960275_***_Yuntian Feng 8be5dace79e94a4d0abd32215a13f806_***_Shaoheng Guan Guan |
| author |
Yuntian Feng Shaoheng Guan Guan |
| author2 |
Gang Ma Shaoheng Guan Qiao Wang Y. T. Feng Wei Zhou Yuntian Feng Shaoheng Guan Guan |
| format |
Journal article |
| container_title |
Acta Geotechnica |
| container_volume |
17 |
| container_issue |
8 |
| container_start_page |
3463 |
| publishDate |
2022 |
| institution |
Swansea University |
| issn |
1861-1125 1861-1133 |
| doi_str_mv |
10.1007/s11440-021-01419-y |
| publisher |
Springer Science and Business Media LLC |
| college_str |
Faculty of Science and Engineering |
| hierarchytype |
|
| hierarchy_top_id |
facultyofscienceandengineering |
| hierarchy_top_title |
Faculty of Science and Engineering |
| hierarchy_parent_id |
facultyofscienceandengineering |
| hierarchy_parent_title |
Faculty of Science and Engineering |
| department_str |
School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering |
| url |
http://dx.doi.org/10.1007/s11440-021-01419-y |
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0 |
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0 |
| published_date |
2022-08-01T06:30:11Z |
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1850739378015436800 |
| score |
11.08895 |

