Multi-objective optimization of outriggers and belt walls location in high-rise concrete structures using the Genetic-Descent Gradient integrated method

Safarkhani, Mahya; Madhkhan, Morteza

doi:10.22059/ceij.2025.382260.2152

Multi-objective optimization of outriggers and belt walls location in high-rise concrete structures using the Genetic-Descent Gradient integrated method

Articles in Press

Authors

mahya safarkhani

morteza madhkhan

Department of Civil Engineering, Isfahan University of Technology (IUT), Isfahan, Iran

10.22059/ceij.2025.382260.2152

Abstract

As the number of high-rise buildings continues to increase, tube structures were developed and are now found in the majority of modern high-rise structures. However, a basic issue with tube systems that results in inefficient operation is the existence of shear lag. Belt walls and outriggers can be used to lessen the effects of shear lag. Aside from improving lateral stiffness and decreasing shear lag, outriggers and belt walls, can be improved to prevent various axial shortenings caused by time-dependent concrete deformations in high-rise concrete buildings. By optimizing the position of the outriggers and belt walls, this study sought to reduce lateral displacement and maximum differential axial shortenings in a building with core supported and tube-in-tube structural systems. This problem was resolved by using the Genetic-Descent Gradient integrated method, which enhanced the genetic algorithm's local search process by merging the descent gradient approach with the genetic algorithm. It appears that the lateral displacements and maximum differential axial shortenings for structure with tube-in-tube system are substantially less than those with core-supported system. Additionally, the combined Genetic- Descent Gradient technique exhibited superior performance, as evidenced by comparing the convergence rates of Genetic algorithm and Genetic-Descent Gradient method.

Keywords

Tall Concrete Structures

Optimization

Outriggers

Genetic Algorithm

Descent Gradient method

Subjects