Multi-objective optimization of high-rise buildings with outrigger systems subject to seismic loads
Achieving highly accurate global optimization of high-rise buildings to balance safety and economy while addressing uncertainties is critical in structural design. This paper introduces a comprehensive multi-objective optimization method for high-rise buildings with single outrigger systems subjecte...
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| Vydané v: | Journal of Building Engineering Ročník 111; s. 113197 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Ltd
01.10.2025
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| ISSN: | 2352-7102, 2352-7102 |
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| Abstract | Achieving highly accurate global optimization of high-rise buildings to balance safety and economy while addressing uncertainties is critical in structural design. This paper introduces a comprehensive multi-objective optimization method for high-rise buildings with single outrigger systems subjected to seismic loads, utilizing the NSGA-II algorithm. The optimization addresses two computing objectives: minimizing structural weight and maximizing either structural seismic performance or reliability. Initially, updated probabilistic demand models incorporating additional structural features are developed using a database derived from 3D nonlinear time-history analyses for three distinct single-outrigger system configurations. These models consider input feature uncertainties, enabling predictive fragility assessments. Subsequently, multi-objective global optimization is executed using these enhanced probabilistic demand models in combination with the NSGA-II algorithm. The optimized designs, balancing structural weight and reliability, exhibit improved robustness due to comprehensive incorporation of parameter uncertainties into the fragility assessments.
•A design process for the multi-objective optimization of high-rise buildings.•Improved probabilistic demand models with structural features for high-rise buildings.•An augmented sample-based approach for efficient evaluation of global sensitivity.•An elitism non-dominated sorting GA (NSGA-Ⅱ) for the multi-objective optimization. |
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| AbstractList | Achieving highly accurate global optimization of high-rise buildings to balance safety and economy while addressing uncertainties is critical in structural design. This paper introduces a comprehensive multi-objective optimization method for high-rise buildings with single outrigger systems subjected to seismic loads, utilizing the NSGA-II algorithm. The optimization addresses two computing objectives: minimizing structural weight and maximizing either structural seismic performance or reliability. Initially, updated probabilistic demand models incorporating additional structural features are developed using a database derived from 3D nonlinear time-history analyses for three distinct single-outrigger system configurations. These models consider input feature uncertainties, enabling predictive fragility assessments. Subsequently, multi-objective global optimization is executed using these enhanced probabilistic demand models in combination with the NSGA-II algorithm. The optimized designs, balancing structural weight and reliability, exhibit improved robustness due to comprehensive incorporation of parameter uncertainties into the fragility assessments.
•A design process for the multi-objective optimization of high-rise buildings.•Improved probabilistic demand models with structural features for high-rise buildings.•An augmented sample-based approach for efficient evaluation of global sensitivity.•An elitism non-dominated sorting GA (NSGA-Ⅱ) for the multi-objective optimization. |
| ArticleNumber | 113197 |
| Author | Gardoni, Paolo Zhang, Peng Zhou, Ying Xing, Lili Yu, Juanya |
| Author_xml | – sequence: 1 givenname: Lili orcidid: 0000-0002-4017-4617 surname: Xing fullname: Xing, Lili organization: Department of Civil Engineering, Qingdao University of Technology, Qingdao, 266525, China – sequence: 2 givenname: Paolo surname: Gardoni fullname: Gardoni, Paolo organization: Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, United States – sequence: 3 givenname: Juanya orcidid: 0009-0005-0723-0233 surname: Yu fullname: Yu, Juanya email: juanyay2@illinois.edu, tengjingshulili@163.com organization: Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, United States – sequence: 4 givenname: Ying surname: Zhou fullname: Zhou, Ying organization: State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, 200092, China – sequence: 5 givenname: Peng surname: Zhang fullname: Zhang, Peng organization: Department of Civil Engineering, Qingdao University of Technology, Qingdao, 266525, China |
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| Cites_doi | 10.1016/j.engstruct.2019.03.098 10.1016/j.cma.2025.117928 10.1002/eqe.2586 10.1016/S0378-4754(00)00270-6 10.1016/j.ress.2024.110572 10.1016/j.istruc.2021.08.078 10.1016/j.jobe.2025.112952 10.1080/13632460309350474 10.1016/j.engstruct.2015.04.033 10.1002/tal.1098 10.1109/4235.996017 10.1016/j.ress.2007.04.002 10.1016/j.ress.2013.07.010 10.1111/j.2517-6161.1964.tb00553.x 10.1016/j.ress.2022.108824 10.1590/s1983-41952023000200003 10.1111/j.1467-8667.2007.00485.x 10.1007/PL00012553 10.1785/0120020100 10.1016/j.rcns.2022.04.003 10.1002/stc.1864 10.1111/0272-4332.00040 10.1002/eqe.634 10.1061/(ASCE)ST.1943-541X.0000247 10.1016/0951-8320(95)00099-2 10.1016/j.heliyon.2023.e19381 10.1002/eqe.3218 10.1016/j.engstruct.2016.01.005 |
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| Keywords | Global sensitivity analysis Multi-objective optimization Probabilistic demand model Outrigger system NSGA- |
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