Shear wall layout optimization of tall buildings using Quantum Charged System Search
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RESEARCH ARTICLE
Shear wall layout optimization of tall buildings using Quantum Charged System Search Siamak TALATAHARIa,b* , Mahdi RABIEIa a b *
Department of Civil Engineering, University of Tabriz, Tabriz 5166616471, Iran Engineering Faculty, Near East University, Nicosia 99138, Turkey
Corresponding author. E-mail: [email protected]
© Higher Education Press 2020
ABSTRACT This paper presents a developed meta-heuristic algorithm to optimize the shear walls of tall reinforced concrete buildings. These types of walls are considered as lateral resistant elements. In this paper, Quantum Charged System Search (QCSS) algorithm is presented as a new optimization method and used to improve the convergence capability of the original Charged System Search. The cost of tall building is taken as the objective function. Since the design of the lateral system plays a major role in the performance of the tall buildings, this paper proposes a unique computational technique that, unlike available works, focuses on structural efficiency or architectural design. This technique considers both structural and architectural requirements such as minimum structural costs, torsional effects, flexural and shear resistance, lateral deflection, openings and accessibility. The robustness of the new algorithm is demonstrated by comparing the outcomes of the QCSS with those of its standard algorithm. KEYWORDS
Quantum Charged System Search, shear wall, layout optimization, tall buildings
1
Introduction
1.1
Overview
Shear walls are the most commonly used among lateral load-resistant systems. In earthquakes, shear wall structures were shown to perform well [1]. A concrete shear wall is a structural resistance system combined with reinforcement concrete to withstand the effects of lateral load acting as vertical cantilevers on a structure that may be located in the center of a large building––often surrounding an elevator shaft or a stairwell and the elements that continue vertically along the building. Because of the rigidity and strength of the plane and the effects on the spatial arrangement in the plan, lateral loads and gravity loads can be resisted simultaneously [2]. Therefore, their location in terms of structure and architecture must be considered and predicted. The common goal of optimization in civil engineering is to gain the cost impressive solution in existing resources to achieve the tranquility of society. Since economic issues are the first word in all Article history: Received Oct 2019; Accepted Jan 17, 2020
areas, it is very important to use optimization methods to reduce costs in the construction of such high-rise buildings. 1.2
Literature review
Optimization of structures is important and there are several methods for this purpose. Socha and Dorigo [3] presented an uncomplicated way of expanding Ant Colony Optimization (ACO) to continuous domains. Eberhart and Kennedy [4] optimized different functions using Particle Swarm Optimization (PSO), a very straightforward method that appears to be useful in optimizing a w
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