Optimization of Eccentrically Loaded Reinforced-Concrete Isolated Footings

Rawat, Sanket; Mittal, Ravi Kant

doi:10.1061/(asce)sc.1943-5576.0000366

Cited by 13 publications

(11 citation statements)

References 4 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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“…Despite the efforts of designers to obtain economic cross-sectional dimensions and steel bars of RC members, the conventional design process usually fails to minimize the materials costs [11,12]. This process is based on the prior designer's experience in selecting the floor system, concrete class, and preliminary cross-sectional dimensions of RC members [3,13].…”

Section: Introductionmentioning

confidence: 99%

“…These algorithms include artificial bee colony algorithm [3], genetic algorithms [17][18][19][20], simulated annealing [14,21], ant colony optimization [22,23], harmony search [13,24,25], cuckoo search [26], and firefly algorithm [27]. Because the design office practice is mostly based on simple Microsoft Excel spreadsheets, several researchers tested the applicability of the solver tool provided by Microsoft Excel in the field of structural optimization [12,16,[28][29][30][31]. The optimization problems in these studies were limited to minimizing the cost of individual structural components such as slabs, beams, footings, and retaining walls.…”

Section: Introductionmentioning

confidence: 99%

Effects of Concrete Grades and Column Spacings on the Optimal Design of Reinforced Concrete Buildings

Rady

Mahfouz

2022

Materials

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This paper investigates the effects of concrete grades and column spacings on the optimal design of reinforced concrete (RC) buildings. To this end, cost design optimization was performed for buildings with three different floor systems: flat plates (FS), flat slabs with drop panels (FSDP), and solid slabs (SS). The evolutionary method provided by the Excel solver was used as the optimization algorithm because it can deal with the complex nature of structural design problems. The objective function was the total construction cost of the building, including the costs of concrete, reinforcement bars, labor, and formwork, while still fulfilling the constraints of the Egyptian code of practice (ECP-18). The applicability of the presented algorithm was investigated in a design example, where the tuning of the evolutionary algorithm control parameters was sought, and the best parameters were investigated. Two case studies were employed to study the impacts of changing the column spacing and concrete grades on the optimal cost for each floor system. The results showed that low concrete grades, (i.e., characteristic strength up to 40 MPa) and column spacings up to 5 m are preferred in terms of direct construction costs for low-rise RC residential buildings.

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“…Malapur et al [27] investigated an optimization of reinforced concrete column and footings using genetic algorithm. Rawat and Mittal [28] presented an optimization of eccentrically loaded reinforced concrete isolated footings. Nigdeli et al [29] studied the metaheuristic optimization of reinforced concrete footings.…”

Section: Introductionmentioning

confidence: 99%

A general model for rectangular footings part I: optimal surface

García-Galván

Rojas

López-Chavarría

et al. 2022

DYNA

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This paper shows a general model of rectangular footings to obtain the soil minimum contact area (optimal surface) that support from 1 to n columns aligned on a longitudinal axis. The proposed model considers that the soil pressure varies linearly. The recently published models have been presented individually to obtain the soil contact area for rectangular isolated footings, rectangular combined footings that support two columns, these models present the equations, but it is not guaranteed to be the minimum area. The present research complies with the models mentioned above and can be applied to footings that support 3 or more columns, and also the minimum area is guaranteed. Also, numerical problems are shown the soil minimum contact surface for rectangular isolated footings, and rectangular combined footings that support two and three columns (unrestricted on its sides, one side restricted and two opposite sides restricted).

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Optimization of Eccentrically Loaded Reinforced-Concrete Isolated Footings

Cited by 13 publications

References 4 publications

Optimal Design of Reinforced Concrete Materials in Construction

Optimal Design of Reinforced Concrete Materials in Construction

Effects of Concrete Grades and Column Spacings on the Optimal Design of Reinforced Concrete Buildings

A general model for rectangular footings part I: optimal surface

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