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Journal ArticleDOI

Automated layout design of multi-span reinforced concrete beams using charged system search algorithm

Mehmet E. Uz, +4 more
- 08 May 2018 - 
- Vol. 35, Iss: 3, pp 1402-1413
TLDR
An automated method for cost optimization of geometric layout design of multi-span reinforced concrete (RC) beams subjected to dynamic loading by using the charged system search (CSS) algorithm is presented.
Abstract
Purpose The preliminary layout design of structures impacts upon the entire design process and, consequently, the total cost. The purpose of this paper is to select the most economical layouts that satisfy structural and architectural requirements, while considering the reciprocal effects of cost factors and layout variables at the preliminary stages of design. Design/methodology/approach This paper presents an automated method for cost optimization of geometric layout design of multi-span reinforced concrete (RC) beams subjected to dynamic loading by using the charged system search (CSS) algorithm. First, a novel cost optimization approach for geometric layout problems is introduced, in which both cost parameters and dynamic responses are considered in the preliminary layout design of beams. The proposed structural optimization problem with constraints on the static and dynamic equilibrium, architectural dimensions and structural action effects is solved using the CSS algorithm. Findings The proposed CSS algorithm for solving the cost optimization problem can be easily used for optimizing the span lengths and is also capable of working with various cost functions. The presented examples show that the proposed algorithm using the new cost optimization function provides satisfactory results and can result in over 7 per cent cost saving. Originality/value This is an original paper proposing a novel methodology for preliminary layout design of concrete beams.

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Citations
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Journal ArticleDOI

Tribe-charged system search for global optimization

TL;DR: The main searching loop of the standard Charged System Search algorithm is modified to achieve a better convergence performance and the searching phase is divided into three distinct phases called "Tribes" in which the searching process is conducted differently in each phase based on the communication allowance between tribes.
Journal ArticleDOI

Fuzzy Adaptive Charged System Search for global optimization

TL;DR: The obtained results reveal the superiority of the proposed approach in dealing with different unconstraint, constrained, and engineering design problems as well as compared and contrasted with other metaheuristic algorithms.
Book ChapterDOI

An Extensive Review of Charged System Search Algorithm for Engineering Optimization Applications

TL;DR: In this article, an extensive review based on the applications of this algorithm in different optimization fields is presented in order to represent the generality of the algorithm and a summary of the modified versions of this metaheuristic and their applications in various optimization areas are also presented alongside the hybrid and multi-objective approaches.
Journal ArticleDOI

Optimal design of multi-storey buildings with tuned mass dampers using genetic algorithms and grey wolf optimization

TL;DR: Two 10-storey benchmark buildings exposed to different earthquakes are considered in the study in order to analyse the performance and capability of the design of the Tuned Mass Damper with the optimal properties.
References
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Journal ArticleDOI

A novel heuristic optimization method: charged system search

TL;DR: A comparison of the results with those of other evolutionary algorithms shows that the proposed algorithm outperforms its rivals.
Journal ArticleDOI

A review of optimization of structures subjected to transient loads

TL;DR: The main themes of the paper are treatment of time-dependent constraints, calculation of design sensitivity, and approximation of structural optimization in flexible multibody dynamic systems.
Journal ArticleDOI

Optimum detailed design of reinforced concrete continuous beams using Genetic Algorithms

TL;DR: In this paper, the authors present the application of genetic algorithms for the optimum detailed design of reinforced concrete continuous beams based on Indian Standard specifications. But they do not consider the steel reinforcement as a variable, the cross-sectional dimensions of the beam alone are considered as the variables in the present optimum design model.
Journal ArticleDOI

Free vibration analysis of a uniform multi-span beam carrying multiple spring–mass systems

TL;DR: In this paper, the free vibration analysis of single-span beams carrying a number of spring-mass systems is studied. But the authors focus on determining the "exact" solutions for the natural frequencies and mode shapes of a uniform multi-span beam carrying multiple springmass systems.
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