Reliability-based Design Optimization of Steel-Concrete Composite Beams Using Genetic Algorithm and Monte Carlo Simulation
Authors: Trong-Ha Nguyen, VD Le, XH Vu, Duy-Khanh Nguyen
Engineering, Technology & Applied Science Research
: Vol 12(6) : 9766-9770
Publishing year: 12/2022
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 reliability-based 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.
Steel-Concrete Composite