Optimum detailed design of reinforced concrete continuous beams using Genetic Algorithms

Govindaraj, Vijayakumar; Ramasamy, J. V.

doi:10.1016/j.compstruc.2005.09.001

Cited by 105 publications

(53 citation statements)

References 13 publications

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“…Even the one of the most advanced approaches, proposed by Govindaraj and Ramasamy [15,16], has its limitations. Although based on the most relaxed constraints, allowing as much as three different bar diameters in the same cross section, this method uses previously developed data base of possible reinforcement patterns is based on assumption that the number of rows is limited to three and the number of bars per row is limited to five.…”

Section: Technical Sciences 2013 9(1) 53-60mentioning

confidence: 99%

Optimal Structural Design of Reinforced Concrete Structures – Review of Existing Solutions Considering Applicability Aspect

Milajić¹,

Pejičić²,

Beljaković³

2013

AFST

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During the past two decades, rapid advances in information technology have improved the accuracy and capabilities of optimization techniques. Unfortunately, great number of optimization methods in civil engineering has not found implementation in practice, mainly because the problems were treated only from mathematical point of view, disregarding applicability of obtained solutions in reality. Since the aim of any optimization method is developing methodology that would successfully imitate human reasoning, it is necessary to develop adequate approach that would obtain realistic and applicable solutions. This paper provides basic facts of the optimal reinforced structures design, problem classification, mathematic definition and applicability aspect, as well as preview of methods and references available in the literature.

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Section: Technical Sciences 2013 9(1) 53-60mentioning

confidence: 99%

Optimal Structural Design of Reinforced Concrete Structures – Review of Existing Solutions Considering Applicability Aspect

Milajić¹,

Pejičić²,

Beljaković³

2013

AFST

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“…2) presents several different feasible solutions for the problem proposed by Govindaraj and Ramasamy [21]. For rectangular cross section with optimal dimensions b/h = 25/32,5 cm, calculated required area of steel is 9,32 cm 2 and the next step is finding adequate reinforcement pattern, i.e.…”

Section: Examplementioning

confidence: 99%

“…Solution a), proposed by the authors of [21], is obtained by the genetic algorithm in which the only criterion for the reinforcement pattern is minimal necessary amount of steel for required bearing capacity. Although this solution is mathematically the best one, its applicability from the practical point of view is questionable because the proposed pattern is relatively complicated (consisting of three different diameters), which is confirmed by value C r = 2,56.…”

Section: Examplementioning

confidence: 99%

Quantitative method for evaluating applicability of designed reinforcement pattern

Milajić

Prokić²,

Beljaković

et al. 2015

Teh. vjesn.

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Original scientific paper Methods for optimal design of the reinforced concrete structures presented in literature usually do not consider detailed reinforcement pattern, or if they do, it is either too generalized or the optimal solution is always the one with the lowest amount of the reinforcement, disregarding its applicability in reality, at the building site. In order to develop adequate apparatus for numerical estimation and easier choice of the most appropriate solution from the practical point of view, a field research was conducted at the building sites for obtaining data about realistic time needed for placing and fixing reinforcement in different formations. Obtained results were normalized and functional correlations between them were established. Testing results confirmed that proposed approach can help a designer to choose the most applicable solution among several theoretically acceptable ones and that the developed reinforcement pattern coefficient can be successfully used in solving complex optimization problems. Keywords: applicability evaluation; optimization; reinforcement pattern; reinforced concrete structures Kvantitativna metoda za ocjenu primjenljivosti projektirane sheme armiranjaIzvorni znanstveni članak U metodama optimalnog projektiranja armiranobetonskih konstrukcija koje se mogu naći u literaturi obično se ne razmatra detaljna shema armiranja ili je, ako se i razmatra, to ili previše uopćeno, ili se za optimalno rješenje uvijek usvaja ono s najmanjom količinom armature, bez obzira na njegovu primjenljivost u stvarnosti, tj. na gradilištu. U cilju razvoja odgovarajućeg matematičkog aparata za numeričku ocjenu i lakši odabir odgovarajućeg rješenja s praktične točke gledišta, provedeno je terensko istraživanje na gradilištima kako bi se prikupili podaci o realnom vremenu potrebnom za postavljanje i fiksiranje različitih rasporeda armature. Prikupljeni rezultati su normalizirani i između njih su uspostavljene funkcionalne korelacije. Rezultati testiranja su potvrdili da prikazani pristup može pomoći projektantu kod odabira najprimjenljivijeg rješenja između nekoliko teorijski prihvatljivih te da se izvedeni koeficijent sheme armiranja može uspješno primijeniti pri rješavanju složenih optimizacijskih problema.

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“…The problem of the optimal dimensioning of reinforced concrete beams has been considered for many years (Camp et al 2003;Govindaraj, Ramasamy 2005;Senouci, Al-Ansari 2009;Martí, Vidosa 2010;Mohači et al 2010). In this paper, an optimization procedure is given that aims for the adopted cross-section to satisfy the conditions of the ultimate limit state according to the criterion of minimum price of the component materials.…”

Section: Fig 9 Cross-section Of Tested Beamsmentioning

confidence: 99%

“…Camp et al (2003) developed a procedure for the optimization of reinforced concrete frames using GA as recommended by the ACI. Govindaraj and Ramasamy (2005) developed an algorithm for the detailed calculation and optimization of continuous reinforced concrete beams. In their paper, Sobolev and Amirjanov (2010) presented an algorithm based on genetic algorithms, which makes it possible to model the packing density of the aggregate in concrete.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Uhpfrc Beams Subjected to Bending Using Genetic Algorithms

Ćirović

Радоњанин

Trivunić

et al. 2014

Journal of Civil Engineering and Management

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Abstract. Ultra high performance fibre reinforced concrete (UHPFRC) is cementitious composite with very high strength, and when compared with ordinary concrete it is a more superior material both in terms of its mechanical properties and its durability. In order to predict the behaviour of UHPFRC beams, first of all, experiments were carried out to investigate the mechanical properties of composites containing 2% and 4% of steel fibres. Following this, four beams of 2 m in length were tested by subjecting to four point bending. Two beams contained only micro steel fibres, while the remaining two contained conventional steel bar reinforcement. On the basis of experimental studies and recommendations by the AFGC for UHPC, the behaviour of the beams was modelled and optimization was carried out using genetic algorithms (GA) according to the criterion of minimum price. In this paper, the prices of individual UHPFRC beams are also shown in comparison with beams, which contain steel bars or prestressed reinforcement.Keywords: ultra high performance fibre reinforced concrete, optimization, beams, genetic algorithms. Reference to this paper should be made as follows: Ćirović, G.; Radonjanin, V.; Trivunić, M.; Nikolić, D. 2014. Optimization of UHPFRC beams subjected to bending using genetic algorithms, Journal of Civil Engineering and Management 20(4): 527-536. http://dx

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Optimum detailed design of reinforced concrete continuous beams using Genetic Algorithms

Cited by 105 publications

References 13 publications

Optimal Structural Design of Reinforced Concrete Structures – Review of Existing Solutions Considering Applicability Aspect

Optimal Structural Design of Reinforced Concrete Structures – Review of Existing Solutions Considering Applicability Aspect

Quantitative method for evaluating applicability of designed reinforcement pattern

Optimization of Uhpfrc Beams Subjected to Bending Using Genetic Algorithms

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