Optimization of reinforced concrete beams using Solver tool

Correia, Rubens Silva; Bono, Giuliana Furtado Franca; Bono, Gustavo

doi:10.1590/s1983-41952019000400011

Cited by 8 publications

(7 citation statements)

References 5 publications

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“…The optimization techniques investigated include the firefly algorithm [ 15 ], simulated annealing [ 13 , 16 , 17 ], and genetic algorithm [ 18 , 19 , 20 ]. Several studies used different algorithms built in the solver tool provided by Microsoft Excel [ 12 , 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

“…The majority of previous studies focused on the optimization of individual RC structural elements, such as slabs [ 13 , 23 , 24 ], beams [ 12 , 18 , 22 ], columns [ 15 , 16 , 25 ], footings [ 21 , 26 , 27 ], and retaining walls [ 19 , 28 , 29 ]. The design procedures in these studies were subjected to specific code restrictions, such as the American concrete institute (ACI 318-19, ACI 318-14, ACI 318-05), Indian standards (IS: 456), Eurocode 2 (EN 1992-1-1:2004/A1:2014), and Brazilian standards (ABNT NBR 6118:2014, ABNT NBR 6118:2007).…”

Section: Introductionmentioning

confidence: 99%

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Optimal Design of Reinforced Concrete Materials in Construction

2022

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The structural design process is iterative and involves many design parameters. Thus, this paper presents a controlled framework for selecting the adequate structural floor system for reinforced concrete buildings and efficiently utilizing the corresponding construction materials. Optimization was performed using an evolutionary algorithm to minimize the total construction cost, considering the costs of concrete, steel reinforcement, formwork, and labor. In the problem formulation, the characteristic compressive strength of concrete was treated as a design variable because it affects the mechanical performance of concrete. The design variables included the column spacings, concrete dimensions, and steel reinforcement of different structural components. The constraints reflected the Egyptian code of practice provisions. Because the choice of the structural floor system affects the design details, three systems were considered: solid slabs, flat slabs with drop panels, and flat slabs without drop panels. Two benchmark examples were presented, and the optimal design results of the structural floor systems were compared. The solid slab system had the lowest construction cost among the three structural floor systems. Comparative diagrams were developed to investigate the distribution of construction costs of each floor system. The results revealed that an adequate choice of design variables could save up to 17% of the building’s total construction cost.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Design of Reinforced Concrete Materials in Construction

2022

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“…Optimization of reinforced concrete structures considering standard design constraints have been already studied in some papers from the literature [9], [13], [15], [19], [20]. In the context of the Brazilian design standard, some studies have also been developed, for example, Bordignon and Kripka [28], Medeiros and Kripka [29], [30], Kripka et al [31] and Correia et al [32]. However, there is a lack in studies that discuss the characteristics of the optimal structures found and their relationships with the design constraints.…”

Section: Introductionmentioning

confidence: 99%

Optimal configuration of RC frames considering ultimate and serviceability limit state constraints

Juliani

Gomes

2021

Rev. IBRACON Estrut. Mater.

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Most current structural design codes are based on the concept of limit states, that is, when a structure fails to meet one of its purposes, it is said that it has reached its limit state. In the design of reinforced concrete structures, the Ultimate Limit State (ULS) and the Serviceability Limit State (SLS) must be checked. Therefore, this paper presents an optimization scheme for reinforced concrete plane frames, in which the objective is to minimize the cost of structures for three cases of constraints: the first is related to ULS and SLS; the second refers only to the ULS; and the third is related only to the SLS. Computational routines for checking limit states of beams and columns are implemented in MATLAB, following the requirements of the Brazilian code. Structural analyses are performed by using the MASTAN2 software, taking into account geometric nonlinearities and a simplified physical nonlinearity method. The objective function considers the cost of concrete, reinforcement and formwork, and the optimization problems are solved by genetic algorithms. Two numerical examples of frames are presented. Regarding the optimal characteristics related to each type of limit state, it is noted that the beams and columns tend to have larger and more reinforced cross sections in the case of the ULS. Even so, optimal structures related to the ULS often do not satisfy SLS and vice versa, which indicates that the optimal characteristics related to each limit state may be different. In addition, it is observed that the SLS is less restrictive than ULS.

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“…To increase competitiveness, companies invest in new production technologies, materials, and waste reduction methods, which allows reducing the total cost of the investment project and obtaining a significant economic effect on the implementation of construction projects [3,4]. Due to the high level of development of computer technology in construction, complex structures are calculated using software, resulting in a cost-effective method of designing buildings and structures [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…Optimization methods allow the designer to make a choice from a set of possible solutions to an engineering problem and make an optimal decision, reducing the project development period. In practice, optimization problems are solved using universal software such as MATLAB, Octave, Scilab, Dakota, Solver and other software systems [2,6]. At the same time, the universal software for solving optimization problems is not fully suitable for solving particular industry-specific problems of designing facilities in construction, created in the form of computer graphic three-dimensional, parametric objects using Building Information Modelling (BIM).…”

Section: Introductionmentioning

confidence: 99%

Method for optimizing the number of glass-fiber reinforced plastic rebars in concrete structures

2021

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Innovations in the construction industry have led to a change in the technological structure, the use of end-to-end technologies, innovative materials, information management and the need for new technical, technological and managerial solutions. The research problem is the optimal placement of glass-fiber reinforced plastic bars in concrete structures. It took several steps to solve the research problem: 1) development of an algorithm for solving the design problem in TEKLA Structures; 2) performing of calculations based on the finite element method in LIRA-SAPR, which were further reproduced in Rhinoceros and Grasshopper (based on interoperability in a single BIM environment); 3) implementation of the optimization algorithm using the parametric optimization method; 4) A practical calculation of determining the optimal values of the loads of glass-fiber reinforcement in the slab on the example of a typical design problem of a structural element of a construction facility; 5) calculation of positive economic effect. The conclusion is that the algorithm can be used in the practice of building design.

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Optimization of reinforced concrete beams using Solver tool

Cited by 8 publications

References 5 publications

Optimal Design of Reinforced Concrete Materials in Construction

Optimal Design of Reinforced Concrete Materials in Construction

Optimal configuration of RC frames considering ultimate and serviceability limit state constraints

Method for optimizing the number of glass-fiber reinforced plastic rebars in concrete structures

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