收藏切换
Research on Structural Optimization of Cutoff Walls Based on Improved Artificial Fish Swarm Algorithm
收藏切换
PDF
Xiao-kang LING1, Jie ZHAN1, Jian-fei MA2
Water Resources and Power | 2023, 41(11) : 152 - 155
Less
收藏切换
Water Resources and Power | 2023, 41(11): 152-155
WATER CONSERVANCY AND HYDROPOWER ENGINEERING
Research on Structural Optimization of Cutoff Walls Based on Improved Artificial Fish Swarm Algorithm
Full
Xiao-kang LING1, Jie ZHAN1, Jian-fei MA2
Affiliations
  • 1.China Water Resources Pearl River Planning Surveying & Designing Co., Ltd., Guangzhou 510610, China
  • 2.School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China
Published: 2023-11-25 doi: 10.20040/j.cnki.1000-7709.2023.20230118
Outline
收藏切换

Anti-seepage wall is an important anti-seepage structure in cofferdam, which plays an active role in improving the distribution of seepage field and the stability of cofferdam. This paper presents an optimization method of cutoff wall structure based on artificial fish optimization algorithm. Taking a cofferdam project as an example, the calculation model of cofferdam was established based on finite element analysis, and the wall thickness and rock depth of cutoff wall were taken as the variables to be optimized. Finally, the safety factor of cofferdam under the condition of constant water level and sudden drop of water level was obtained through seepage and stress coupling analysis. Compared with the traditional artificial fish swarm algorithm, the results show that the optimized method based on the improved artificial fish swarm algorithm has faster convergence speed and convergence accuracy, and the optimized anti-seepage wall structure can achieve the balance between the anti-seepage effect and the economy. The pore water pressure behind the cutoff wall decreased significantly, and the safety factors of the cofferdam under the conditions of constant water level and falling water level (falling rates are v=0.5 m/d, 1.0 m/d and 2.0 m/d, respectively) were 1.489, 1.410, 1.376 and 1.321, which met the safety requirements, reflecting the feasibility and rationality of the proposed method. The research results can provide reference for the design and construction of cofferdam.

cutoff walls  /  structural optimization  /  artificial fish swarm algorithm  /  impermeability  /  economic indicators  /  stability
Xiao-kang LING, Jie ZHAN, Jian-fei MA. Research on Structural Optimization of Cutoff Walls Based on Improved Artificial Fish Swarm Algorithm[J]. Water Resources and Power, 2023 , 41 (11) : 152 -155 . DOI: 10.20040/j.cnki.1000-7709.2023.20230118
Year 2023 volume 41 Issue 11
PDF
84
17
Cite this Article
BibTeX
Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20230118
  • Receive Date:2023-01-02
  • Online Date:2026-01-27
  • Published:2023-11-25
Article Data
Affiliations
History
  • Received:2023-01-02
  • Revised:2023-02-25
Affiliations
    1.China Water Resources Pearl River Planning Surveying & Designing Co., Ltd., Guangzhou 510610, China
    2.School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China
References
Share
https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20230118
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

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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