Home Journals Articles Updates About
CN
image
收藏切换
Inversion Analysis of High Arch Dam Mechanical Parameters Based on Multi-objective Optimization Strategy and WOA-BPNN
收藏切换
PDF
Xin-hang LIU1, Yi-qing LOU2, Dong-jian ZHENG1
Water Resources and Power | 2023, 41(10) : 96 - 99
Less
收藏切换
Water Resources and Power | 2023, 41(10): 96-99
• DAM SAFETY AND MONITORING •
Inversion Analysis of High Arch Dam Mechanical Parameters Based on Multi-objective Optimization Strategy and WOA-BPNN
Full
Xin-hang LIU1, Yi-qing LOU2, Dong-jian ZHENG1
Affiliations
  • 1.College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
  • 2.Wenzhou Water Conservancy and Electric Power Survey and Design Assembly Company Ltd., Wenzhou 325002, China
Published: 2023-10-25 doi: 10.20040/j.cnki.1000-7709.2023.20222486
Outline
收藏切换

With the increase of the service life of the dam, inversion analysis of dam mechanical parameters based on the prototype monitoring data is necessary. At present, the dam inversion analysis model is still mainly based on the dam displacement monitoring data, which can only reflect the dam displacement law at the macroscopic level, while the change law of the strain field and stress field of the dam is ignored from the mesoscopic perspective. Therefore, a high arch dam mechanical parameter inversion model based on WOA-BPNN and MOEA/D was proposed, which consider both the dam displacement monitoring data and the dam strain monitoring data. The mechanical parameter inversion analysis of the arch dam was carried by the dam’s displacement data and strain data. The results show that the inversion parameter is more accurate and reasonable.

high arch dam  /  parameter inversion  /  machine learning  /  multi-objective optimization  /  finite element
Xin-hang LIU, Yi-qing LOU, Dong-jian ZHENG. Inversion Analysis of High Arch Dam Mechanical Parameters Based on Multi-objective Optimization Strategy and WOA-BPNN[J]. Water Resources and Power, 2023 , 41 (10) : 96 -99 . DOI: 10.20040/j.cnki.1000-7709.2023.20222486
Appendix
Less
Year 2023 volume 41 Issue 10
PDF
102
9
Cite this Article
BibTeX
Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20222486
  • Receive Date：2022-11-25
  • Online Date：2026-01-28
  • Published：2023-10-25
Article Data
Affiliations
History
  • Received：2022-11-25
  • Revised：2023-01-18
Funding
Affiliations
    1.College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
    2.Wenzhou Water Conservancy and Electric Power Survey and Design Assembly Company Ltd., Wenzhou 325002, China
References
Share
https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20222486
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House