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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Journal of Building Engineering Ročník 111; s. 113197
Hlavní autoři: Xing, Lili, Gardoni, Paolo, Yu, Juanya, Zhou, Ying, Zhang, Peng
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.10.2025
Témata:
Global sensitivity analysis
Multi-objective optimization
NSGA-
Outrigger system
Probabilistic demand model
Global sensitivity analysis
Multi-objective optimization
Probabilistic demand model
Outrigger system
NSGA-
ISSN:2352-7102, 2352-7102
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
ISSN:2352-7102
2352-7102
DOI:10.1016/j.jobe.2025.113197