Seismic Design of Structures by Sequential Quadratic Programming with Trust Region Strategy and Endurance Time Method
The optimal design of structures subjected to seismic loading poses significant challenges due to the presence of high nonlinearity and computational complexity. To address these challenges, this paper presents a novel methodology that combines Sequential Quadratic Programming with Trust-Region stra...
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Published in | KSCE journal of civil engineering Vol. 28; no. 11; pp. 5104 - 5115 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Seoul
Korean Society of Civil Engineers
01.11.2024
Springer Nature B.V 대한토목학회 |
Subjects | |
Online Access | Get full text |
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Summary: | The optimal design of structures subjected to seismic loading poses significant challenges due to the presence of high nonlinearity and computational complexity. To address these challenges, this paper presents a novel methodology that combines Sequential Quadratic Programming with Trust-Region strategy (SQP-TR) and Endurance Time Method (ETM). SQP-TR is initially presented as a numerical optimization approach to address optimization problems by linearizing the constraints and approximating the objective function with Taylor expansion, as well as employing the filter method and trust region strategy to ensure convergence and feasibility. A five-story linear frame validates its effectiveness and demonstrates promising outcomes. ETM is successfully implemented as a seismic analysis approach to perform nonlinear time history analyses in order to capture the dynamic input feature of the seismic load and evaluate the nonlinear dynamic behaviors of structures. Its practical application is demonstrated by a nine-story structure with nonlinearity, which shows satisfactory results. Finally, the proposed methodology is applied to optimize a twelve-story three-Dimensional (3D) Reinforced Concrete (RC) nonlinear building under seismic load, and the results demonstrate that the method can accomplish optimal seismic design with high accuracy and efficiency. |
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ISSN: | 1226-7988 1976-3808 |
DOI: | 10.1007/s12205-024-0306-2 |