Genetic algorithms in optimal design and detailing of reinforced concrete biaxial columns supported by a declarative approach for capacity checking

Rafiq, Muhammad; Southcombe, C

doi:10.1016/s0045-7949(98)00108-4

Cited by 66 publications

(34 citation statements)

References 3 publications

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“…Genetic algorithm is also used in the approach of Rafiq and Southcombe for optimization biaxial RC columns [2]. Several RC member was optimized by genetic algorithm based approach of Koumousis and Arsenis [3].…”

Section: Literature Survey For Optimization Of Rc Membersmentioning

confidence: 99%

Optimization of Reinforced Concrete Columns Subjected to Uniaxial Loading

Bekdaş

Niğdeli

2015

Computational Methods in Applied Sciences

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The distance from extreme compression fiber to neutral axis (c) is depended to combinations of axial load and flexural moment capacities of reinforced concrete (RC) columns. Since c is depended to different internal forces, the value of c cannot be found without assuming the final design. Thus, it can be iteratively searched in order to find the flexural moment capacity of columns under an axial loading. By using the presented method, the solution with the minimum cost ensuring maximum flexural moment and axial load is found. A random search technique is explained in this chapter for optimum design of uniaxial RC columns with minimum cost. In optimization, design of RC columns is done by considering the design rules described in ACI 318-Building Code Requirements for Structural Concrete. The random search technique (RST) for optimization of RC uniaxial columns is effective on finding optimum cross-sections and reinforcement design with minimum cost.

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Section: Literature Survey For Optimization Of Rc Membersmentioning

confidence: 99%

Optimization of Reinforced Concrete Columns Subjected to Uniaxial Loading

Bekdaş

Niğdeli

2015

Computational Methods in Applied Sciences

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“…Genetic algorithms (GAs) are a class of stochastic relaxation techniques that are applicable to the solution of a wide variety of optimization engineering problems [1][2][3][4][5][6][7][8][9][10] by emanating the evolutionary behaviour of biological systems. They are global optimizers due to their population search.…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm Parameters Effect on the Optimal Structural Design Search

Maskaoui¹

2017

IOSR JMCE

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“…Also, metaheuristic algorithms are very effective on optimum design of RC member. The nature inspired Genetic algorithm (GA) [7][8] was employed in the optimum design of RC columns [9], RC frames [10][11][12][13], RC continuous beams [14], RC T-shaped beams [15] and various RC members [16]. GA is also combined with methods such as sequential quadratic programing [17], Hook and Jeeves method [18] and Simulated Annealing (SA) [19] in the optimum design of RC members.…”

Section: Introductionmentioning

confidence: 99%

The effect of single and double curvature in optimum design of slender reinforced concrete columns

Sayın¹,

Bekdaş²,

Niğdeli³

2016

Fourth International Conference on Advances in Civil, Structural and Environmental Engineering - ACSEE 2016

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Abstract-Slenderness is an important factor in the design of long reinforced concrete (RC) columns. It is also a major problem for RC columns which are restricted to lateral displacement. In that case, buckling is effective on the second the second order effects. The elastic curve of the columns may have single or double curvature. The type of curvature is effective on slenderness of the column. In ACI318-Building code requirements for structural concrete-, an effect of slenderness is considered by using a moment magnification factor. In this factor, the type of curvature is also considered by a correction factor (C m ) which is defined according to end moments. For that reason, different flexural moment cases are presented in the present study. By employing teaching learning based optimization, the cost optimization of the columns was done. According to the results, the type of curvature is effective on the optimum design and cost.

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Genetic algorithms in optimal design and detailing of reinforced concrete biaxial columns supported by a declarative approach for capacity checking

Cited by 66 publications

References 3 publications

Optimization of Reinforced Concrete Columns Subjected to Uniaxial Loading

Optimization of Reinforced Concrete Columns Subjected to Uniaxial Loading

Genetic Algorithm Parameters Effect on the Optimal Structural Design Search

The effect of single and double curvature in optimum design of slender reinforced concrete columns

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