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A Novel Fourier Feature Physics‐Informed Neural Networks Based on the Boundary Element Method for Solving Scattering of SH Wave Induced by Complex Topography
Earthquake Engineering & Structural Dynamics, Volume: 55, Issue: 8, Pages: 1745 - 1762
Swansea University Author:
Yue Hou
-
PDF | Accepted Manuscript
Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
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DOI (Published version): 10.1002/eqe.70162
Abstract
A Novel Fourier Feature Physics‐Informed Neural Networks Based on the Boundary Element Method for Solving Scattering of SH Wave Induced by Complex Topography
| Published in: | Earthquake Engineering & Structural Dynamics |
|---|---|
| ISSN: | 0098-8847 1096-9845 |
| Published: |
Wiley
2026
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa71968 |
| first_indexed |
2026-05-21T11:37:59Z |
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| last_indexed |
2026-06-10T08:54:06Z |
| id |
cronfa71968 |
| recordtype |
SURis |
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2026-06-09T15:07:25.3159936 v2 71968 2026-05-21 A Novel Fourier Feature Physics‐Informed Neural Networks Based on the Boundary Element Method for Solving Scattering of SH Wave Induced by Complex Topography 92bf566c65343cb3ee04ad963eacf31b 0000-0002-4334-2620 Yue Hou Yue Hou true false 2026-05-21 ACEM Journal Article Earthquake Engineering & Structural Dynamics 55 8 1745 1762 Wiley 0098-8847 1096-9845 BEM; ground motion; PINNs; SH waves; topographic effect 10 7 2026 2026-07-10 10.1002/eqe.70162 COLLEGE NANME Aerospace Civil Electrical and Mechanical Engineering COLLEGE CODE ACEM Swansea University National Natural Science Foundation of China. Grant Numbers: 42377140, 5227837; Key Research and Development Program of Sichuan Province. Grant Number: 2025YFHZ0300 2026-06-09T15:07:25.3159936 2026-05-21T12:36:18.7805055 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Yongxin Wu 1 Haochen Yuan 2 Yufeng Gao 0000-0002-5837-3382 3 Shangchuan Yang 0000-0002-1428-7247 4 Yue Hou 0000-0002-4334-2620 5 71968__36807__8578f62b66564bf69bf73e460bd349dd.pdf A novel Fourier feature physics-informed neural networks .pdf 2026-05-21T12:37:36.0546150 Output 3161060 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention). true eng https://creativecommons.org/licenses/by/4.0/deed.en |
| title |
A Novel Fourier Feature Physics‐Informed Neural Networks Based on the Boundary Element Method for Solving Scattering of SH Wave Induced by Complex Topography |
| spellingShingle |
A Novel Fourier Feature Physics‐Informed Neural Networks Based on the Boundary Element Method for Solving Scattering of SH Wave Induced by Complex Topography Yue Hou |
| title_short |
A Novel Fourier Feature Physics‐Informed Neural Networks Based on the Boundary Element Method for Solving Scattering of SH Wave Induced by Complex Topography |
| title_full |
A Novel Fourier Feature Physics‐Informed Neural Networks Based on the Boundary Element Method for Solving Scattering of SH Wave Induced by Complex Topography |
| title_fullStr |
A Novel Fourier Feature Physics‐Informed Neural Networks Based on the Boundary Element Method for Solving Scattering of SH Wave Induced by Complex Topography |
| title_full_unstemmed |
A Novel Fourier Feature Physics‐Informed Neural Networks Based on the Boundary Element Method for Solving Scattering of SH Wave Induced by Complex Topography |
| title_sort |
A Novel Fourier Feature Physics‐Informed Neural Networks Based on the Boundary Element Method for Solving Scattering of SH Wave Induced by Complex Topography |
| author_id_str_mv |
92bf566c65343cb3ee04ad963eacf31b |
| author_id_fullname_str_mv |
92bf566c65343cb3ee04ad963eacf31b_***_Yue Hou |
| author |
Yue Hou |
| author2 |
Yongxin Wu Haochen Yuan Yufeng Gao Shangchuan Yang Yue Hou |
| format |
Journal article |
| container_title |
Earthquake Engineering & Structural Dynamics |
| container_volume |
55 |
| container_issue |
8 |
| container_start_page |
1745 |
| publishDate |
2026 |
| institution |
Swansea University |
| issn |
0098-8847 1096-9845 |
| doi_str_mv |
10.1002/eqe.70162 |
| publisher |
Wiley |
| college_str |
Faculty of Science and Engineering |
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|
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facultyofscienceandengineering |
| hierarchy_top_title |
Faculty of Science and Engineering |
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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 |
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1 |
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| published_date |
2026-07-10T06:39:38Z |
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1867859024583589888 |
| score |
11.108426 |

