Multi-objective optimization for cost-effective aseismic design of submerged floating tunnels considering weighted preferences
In aseismic design of the submerged floating tunnel (SFT), both the seismic response and construction cost should be considered and optimized to achieve a balance between structural safety and project investment. To realize the simultaneous optimization of several design objectives, this study propo...
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sg-ntu-dr.10356-1640872023-01-04T06:57:11Z Multi-objective optimization for cost-effective aseismic design of submerged floating tunnels considering weighted preferences He, Renfei Zhang, Limao School of Civil and Environmental Engineering Environmental Process Modelling Centre Nanyang Environment and Water Research Institute Engineering::Environmental engineering Submerged Floating Tunnel Multi-Objective Optimization In aseismic design of the submerged floating tunnel (SFT), both the seismic response and construction cost should be considered and optimized to achieve a balance between structural safety and project investment. To realize the simultaneous optimization of several design objectives, this study proposes a multi-objective-optimization-based framework for the cost-effective aseismic design of the SFT. Firstly, two design objectives, i.e., the transverse peak displacement (TPD) and the material cost (MC), are identified as the optimization objectives; The tube wall thickness, inclined angle of cables, and number of cable pairs are determined as the decision variables. Then the objective functions and constraint conditions are derived, and the nondominated sorting genetic algorithm-II (NSGA-II) is used to obtain the Pareto front and Pareto-optimal solution set. Considering the weighted preferences, a decision-making approach based on Tchebycheff's objective weight is developed to select the final optimal design scheme. The validity of the proposed approach is verified through a case study. The results imply that the optimal solution selected by the proposed approach is much superior in both TPD and MC compared with the original design scheme. Furthermore, compared with compromising programming, the proposed decision-making approach can emphasize more on TPD, which will gain more preferences from the designers. Nanyang Technological University The 1st author is grateful to Nanyang Technological University, Singapore for his Ph.D. research scholarship. 2023-01-04T06:57:11Z 2023-01-04T06:57:11Z 2022 Journal Article He, R. & Zhang, L. (2022). Multi-objective optimization for cost-effective aseismic design of submerged floating tunnels considering weighted preferences. Ocean Engineering, 250, 110976-. https://dx.doi.org/10.1016/j.oceaneng.2022.110976 0029-8018 https://hdl.handle.net/10356/164087 10.1016/j.oceaneng.2022.110976 2-s2.0-85126927934 250 110976 en Ocean Engineering © 2022 Elsevier Ltd. All rights reserved. |
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Engineering::Environmental engineering Submerged Floating Tunnel Multi-Objective Optimization He, Renfei Zhang, Limao Multi-objective optimization for cost-effective aseismic design of submerged floating tunnels considering weighted preferences |
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In aseismic design of the submerged floating tunnel (SFT), both the seismic response and construction cost should be considered and optimized to achieve a balance between structural safety and project investment. To realize the simultaneous optimization of several design objectives, this study proposes a multi-objective-optimization-based framework for the cost-effective aseismic design of the SFT. Firstly, two design objectives, i.e., the transverse peak displacement (TPD) and the material cost (MC), are identified as the optimization objectives; The tube wall thickness, inclined angle of cables, and number of cable pairs are determined as the decision variables. Then the objective functions and constraint conditions are derived, and the nondominated sorting genetic algorithm-II (NSGA-II) is used to obtain the Pareto front and Pareto-optimal solution set. Considering the weighted preferences, a decision-making approach based on Tchebycheff's objective weight is developed to select the final optimal design scheme. The validity of the proposed approach is verified through a case study. The results imply that the optimal solution selected by the proposed approach is much superior in both TPD and MC compared with the original design scheme. Furthermore, compared with compromising programming, the proposed decision-making approach can emphasize more on TPD, which will gain more preferences from the designers. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering He, Renfei Zhang, Limao |
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Article |
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He, Renfei Zhang, Limao |
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He, Renfei |
title |
Multi-objective optimization for cost-effective aseismic design of submerged floating tunnels considering weighted preferences |
title_short |
Multi-objective optimization for cost-effective aseismic design of submerged floating tunnels considering weighted preferences |
title_full |
Multi-objective optimization for cost-effective aseismic design of submerged floating tunnels considering weighted preferences |
title_fullStr |
Multi-objective optimization for cost-effective aseismic design of submerged floating tunnels considering weighted preferences |
title_full_unstemmed |
Multi-objective optimization for cost-effective aseismic design of submerged floating tunnels considering weighted preferences |
title_sort |
multi-objective optimization for cost-effective aseismic design of submerged floating tunnels considering weighted preferences |
publishDate |
2023 |
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https://hdl.handle.net/10356/164087 |
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1754611265082228736 |