Optimization design of anti-seismic engineering measures for intake tower based on non-dominated sorting genetic algorithm-II
Jia’ao YU, Zhenzhong SHEN, Zhangxin HUANG, Haoxuan LI
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 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.
intake tower / NSGA-II / mode decomposition response spectrum method / anti-seismic engineering measures / optimization design / variable project cost
[1] |
Zhang H Y, Li T C, Li Z K. Modeling in SolidWorks and analysis of temperature and thermal stress during construction of intake tower. Water Science and Engineering, 2009, 2(1): 95–102
|
[2] |
GongC LLiu HZhangJ. Study on dynamic properties of the intake tower with finite element method. Applied Mechanics & Materials, 2014, 501–504: 1888–1891
|
[3] |
Wang Y, Lin Z T, Song C, Dong B Y. Seismic analysis of a water release integrated structure part I: Response spectrum analysis of intake tower. Applied Mechanics and Materials, 2014, 470: 938–941
|
[4] |
YanY ZXiong C XWenX HLiW H. Structure seismic analysis on intake tower of spillway tunnel. Advanced Materials Research, 2015, 1065–1069: 1427–1432
|
[5] |
Alembagheri M. Earthquake response of solitary slender freestanding intake towers. Soil Dynamics and Earthquake Engineering, 2016, 90: 1–14
CrossRef
Google scholar
|
[6] |
Zhang H Y, Zhang L J. Tuned mass damper system of high-rise intake towers optimized by improved harmony search algorithm. Engineering Structures, 2017, 138: 270–282
|
[7] |
Bartoli G, Betti M, Galano L, Zini G. Numerical insights on the seismic risk of confined masonry towers. Engineering Structures, 2019, 180: 713–727
|
[8] |
Zou X K, Chan C M. An optimal resizing technique for seismic drift design of concrete buildings subjected to response spectrum and time history loadings. Computers & Structures, 2005, 83(19): 1689–1704
CrossRef
Google scholar
|
[9] |
Ftima M, Léger P. Seismic stability of cracked concrete dams using rigid block models. Computers & Structures, 2006, 84(28): 1802–1814
CrossRef
Google scholar
|
[10] |
Gorai S, Mait D. Seismic response of concrete gravity dams under near field and far field ground motions. Engineering Structures, 2019, 196: 109292
|
[11] |
Aldemir A. Prediction equation for the fundamental vibration period of concrete gravity dams with impounded water. Earthquake Spectra, 2021, 37(3): 1710–1725
CrossRef
Google scholar
|
[12] |
GB51247-2018. Standard for Seismic Design of Hydraulic Structures. Beijing: China Planning Press, 2018 (in Chinese)
|
[13] |
ZhangYLi S YXiaKGuoJ JHeG J LiM. Seismic study on backfill height of tower-back for high-rise intake tower structure. Water Resources and Hydropower Engineering, 2018, 49(11): 62−67 (in Chinese)
|
[14] |
YangGLi S YLiLXiaoYZhangZ X YangY. Effect of backfill height on seismic performance of high intake tower. Journal of Water Resources & Water Engineering, 2019, 30: 6 (in Chinese)
|
[15] |
ZhangW JLu W BChenMYanPZhouC B. Analysis of consolidation grouting effect of rock mass based on comparison of wave velocity before and after grouting. Chinese Journal of Rock Mechanics & Engineering, 2012, 31(3): 469–478 (in Chinese)
|
[16] |
Ang H, Lee J. Cost optimal design of R/C buildings. Reliability Engineering & System Safety, 2001, 73(3): 233–238
CrossRef
Google scholar
|
[17] |
Esteva L, Díaz-López O, García-Pérez J. Life-cycle optimization in the establishment of performance-acceptance parameters for seismic design. Structural Safety, 2002, 24: 187–204
|
[18] |
Zheng P, Hobbs B, Koonce J. Optimizing multiple dam removals under multiple objectives: Linking tributary habitat and the Lake Erie ecosystem. Water Resources Research, 2009, 45(12): 1699–1702
CrossRef
Google scholar
|
[19] |
Lozano M, Ramos J, Serra L. Cost optimization of the design of CHCP (combined heat, cooling and power) systems under legal constraints. Energy, 2010, 35(2): 794–805
CrossRef
Google scholar
|
[20] |
ZhongD HLi ZWuB PHuWLüP. Time-quality-cost tradeoff optimization of rockfill dam construction based on pareto solution. Journal of Tianjin University (Science and Technology), 2016, 49(10): 1001−1007
|
[21] |
BuK ZZhao YZhengX C. Optimization design for foundation pit above metro tunnel based on NSGA2 genetic algorithm. Journal of Railway Science and Engineering, 2021, 18(2): 459−467 (in Chinese)
|
[22] |
Zhang W B, Shi D D, Shen Z Z, Wang X H, Gan L, Shao W, Tang P, Zhang H W, Yu S Y. Effect of calcium leaching on the fracture properties of concrete. Construction & Building Materials, 2023, 365: 130018
CrossRef
Google scholar
|
[23] |
Zhang W B, Shi D D, Shen Z Z, Shao W, Gan L, Yuan Y, Tang P, Zhao S, Chen Y S. Reduction of the calcium leaching effect on the physical and mechanical properties of concrete by adding chopped basalt fibers. Construction & Building Materials, 2023, 365: 130080
CrossRef
Google scholar
|
[24] |
Chao Z M, Dang Y B, Pan Y, Wang F Y, Wang M, Zhang J, Yang C X. Prediction of the shale gas permeability: A data mining approach. Geomechanics for Energy and the Environment, 2023, 33: 100435
|
[25] |
Chang L, Chang F. Multi-objective evolutionary algorithm for operating parallel reservoir system. Journal of Hydrology, 2009, 377(1−2): 12–20
CrossRef
Google scholar
|
[26] |
Zare O, Saghafian B, Shamsai A, Nazif S. Multi-objective optimization using evolutionary algorithms for qualitative and quantitative control of urban runoff. Hydrology and Earth System Sciences Discussions, 2012, 9: 777–817
|
[27] |
Wang S P, Zhao D M, Yuan J Z, Li H J, Gao Y. Application of NSGA-II algorithm for fault diagnosis in power system. Electric Power Systems Research, 2019, 175: 105893
|
[28] |
Ghasemi H, Rafiee R, Zhuang X, Muthu J, Rabczuk T. Uncertainties propagation in metamodel-based probabilistic optimization of CNT/polymer composite structure using stochastic multi-scale modeling. Computational Materials Science, 2014, 85: 295–305
CrossRef
Google scholar
|
[29] |
Ghasemi H, Brighenti R, Zhuang X, Muthu J, Rabczuk T. Optimal fiber content and distribution in fiber-reinforced solids using a reliability and NURBS based sequential optimization approach. Structural and Multidisciplinary Optimization, 2015, 51(1): 99–112
CrossRef
Google scholar
|
[30] |
GB18306-2015. Seismic Ground Motion Parameters Zonation Map of China. Beijing: China Earthquake Administration, 2015 (in Chinese)
|
[31] |
SL744-2016. Specification for Load Design of Hydraulic Structures. Beijing: China Water Power Press, 2016 (in Chinese)
|
[32] |
Goyal A, Chopra A K. Hydrodynamic and foundation interaction effects in dynamics of intake towers: Earthquake responses. Journal of Structural Engineering, 1989, 115(6): 1386–1395
CrossRef
Google scholar
|
[33] |
Goyal A, Chopra A K. Earthquake analysis of intake-outlet towers including tower-water-foundation-soil interaction. Earthquake Engineering & Structural Dynamics, 1989, 18(3): 325–344
CrossRef
Google scholar
|
[34] |
Miranda E, Bertero V V. Evaluation of strength reduction factors for earthquake-resistant design. Earthquake Spectra, 1994, 10(2): 357–379
CrossRef
Google scholar
|
[35] |
Deb K. Multi-objective genetic algorithms: Problem difficulties and construction of test problems. Evolutionary Computation, 1999, 7(3): 205–230
CrossRef
Google scholar
|
[36] |
Ye C J, Huang M X. Multi-objective optimal power flow considering transient stability based on parallel NSGA-II. IEEE Transactions on Power Systems, 2015, 30(2): 857–866
CrossRef
Google scholar
|
[37] |
Liu D, Huang Q, Yang Y Y, Liu D F, Wei X T. Bi-objective algorithm based on NSGA-II framework to optimize reservoirs operation. Journal of Hydrology, 2020, 585: 124830
CrossRef
Google scholar
|
/
〈 | 〉 |