Reliability-based Design Optimization of SteelConcrete Composite Beams Using Genetic Algorithm and Monte Carlo Simulation

被引：2
作者：
Trong-Ha Nguyen [1 ]
Viet-Dong Le [2 ]
Xuan-Hung Vu [1 ]
Duy-Khanh Nguyen [1 ]
机构：
[1] Vinh Univ, Dept Civil Engn, Vinh, Vietnam
[2] Vinh Univ, Ctr Practice & Expt, Vinh, Vietnam
来源：
ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH | 2022年 / 12卷 / 06期
关键词：
reliability; design optimization; Genetic Algorithm (GA); Monte Carlo simulation; steel-concrete composite beams;
D O I：
10.48084/etasr.5366
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Steel-Concrete Composite (SCC) beams have been commonly used in civil and industrial buildings. It is the main bearing structure and accounts for 30-40% of the structural cost. Therefore, the optimal design with minimum weight and safety structure of the SCC beams is very important. Reliability is an important part of structural safety. Design according to reliability has been included in standards such as ISO 2394:2012, JB50153-92, and BS 5760-0:2014. This article aims to propose and apply a design optimization algorithm for the reliabilitybased design of SCC beams. The reliability-based design optimization of the SCC beams combines the safety conditions of EC- 4, Genetic Algorithm, and Monte Carlo simulation. The numerical results show that with safety probability constraint conditions P-s=98%, the cross-section of the SCC beams can be reduced from IPE 400 to IPE 300.
引用
收藏
页码：9766 / 9770
页数：5
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