Optimization design of anti-seismic engineering measures for intake tower based on non-dominated sorting genetic algorithm-II

High-rise intake towers in high-intensity seismic areas are prone to structural safety problems under vibration. Therefore, effective and low-cost anti-seismic engineering measures must be designed for protection. An intake tower in northwest China was considered the research object, and its natural...

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Bibliographic Details
Published in:Frontiers of Structural and Civil Engineering 2024-09, Vol.17 (9), p.1428-1441
Main Authors: Yu, Jia’ao, Shen, Zhenzhong, Huang, Zhangxin, Li, Haoxuan
Format: Article
Language:English
Subjects:
Algorithms
Cities
Civil Engineering
Countries
Design optimization
Dynamic response
Earthquakes
Engineering
Finite element method
Genetic algorithms
High rise buildings
Regions
Research Article
Seismic activity
Seismic engineering
Sorting algorithms
Structural engineering
Structural safety
Three dimensional models
Towers
Vibration analysis
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Summary:High-rise intake towers in high-intensity seismic areas are prone to structural safety problems under vibration. Therefore, effective and low-cost anti-seismic engineering measures must be designed for protection. An intake tower in northwest China was considered the research object, and its natural vibration characteristics and dynamic response were first analyzed using the mode decomposition response spectrum method based on a three-dimensional finite element model. The non-dominated sorting genetic algorithm-II (NSGA-II) was adopted to optimize the anti-seismic scheme combination by comprehensively considering the dynamic tower response and variable project cost. Finally, the rationality of the original intake tower antiseismic design scheme was evaluated according to the obtained optimal solution set, and recommendations for improvement were proposed. The method adopted in this study may provide significant references for designing anti-seismic measures for high-rise structures such as intake towers located in high-intensity earthquake areas.
ISSN:2095-2430
2095-2449
DOI:10.1007/s11709-023-0998-2