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Article

Metaheuristic-Based Practical Tool for Optimal Design of Reinforced Concrete Isolated Footings: Development and Application for Parametric Investigation

by
Junaid Waheed
1,
Rizwan Azam
1,
Muhammad Rizwan Riaz
1,*,
Mansoor Shakeel
1,
Abdullah Mohamed
2 and
Elimam Ali
3,4
1
Department of Civil Engineering, University of Engineering & Technology, Lahore 54890, Pakistan
2
Research Centre, Future University in Egypt, New Cairo 11835, Egypt
3
Civil Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj 12673, Saudi Arabia
4
Civil Engineering Department, College of Engineering, Mansoura University, Mansoura 35516, Egypt
*
Author to whom correspondence should be addressed.
Buildings 2022, 12(4), 471; https://doi.org/10.3390/buildings12040471
Submission received: 11 March 2022 / Revised: 6 April 2022 / Accepted: 8 April 2022 / Published: 11 April 2022
(This article belongs to the Special Issue Optimized Design and Modelling in Modern Steel and RC Structure Constructions)
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Abstract

In the process of designing an economical structure, safety along with total cost must be balanced. This can be attained by design optimization, however the complex nature of the algorithms involved hinders its application. Further, there is a severe lack of research on the optimization of reinforced concrete (RC) isolated footings. Therefore, the main objective of this research is to develop a user-friendly tool for the optimization of RC isolated footings using advanced metaheuristic algorithms to make it more practical and convenient to adopt for design optimization. For this purpose, a spreadsheet-based interface is created in which input parameters from the original design can be entered to find the best option for the minimum cost design. The Evolutionary Algorithm (EA) and the Genetic Algorithm (GA) are used as metaheuristic techniques for optimization. The original design of four examples from the literature is compared with the optimized design obtained from the developed tool to demonstrate its efficiency. For the considered case studies, cost-saving of up to 44% has been obtained. Furthermore, a parametric investigation for the minimum cost objective using the GA has been performed through which a detailed analysis of geometric reinforcement and material strength variables is conducted. The results lead to the derivation of useful thumb rules for the economical design and proportioning of isolated footings.
Keywords: reinforced concrete; isolated footings; economical design; optimization tool; spreadsheet optimization; Evolutionary Algorithm; Genetic Algorithm reinforced concrete; isolated footings; economical design; optimization tool; spreadsheet optimization; Evolutionary Algorithm; Genetic Algorithm

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MDPI and ACS Style

Waheed, J.; Azam, R.; Riaz, M.R.; Shakeel, M.; Mohamed, A.; Ali, E. Metaheuristic-Based Practical Tool for Optimal Design of Reinforced Concrete Isolated Footings: Development and Application for Parametric Investigation. Buildings 2022, 12, 471. https://doi.org/10.3390/buildings12040471

AMA Style

Waheed J, Azam R, Riaz MR, Shakeel M, Mohamed A, Ali E. Metaheuristic-Based Practical Tool for Optimal Design of Reinforced Concrete Isolated Footings: Development and Application for Parametric Investigation. Buildings. 2022; 12(4):471. https://doi.org/10.3390/buildings12040471

Chicago/Turabian Style

Waheed, Junaid, Rizwan Azam, Muhammad Rizwan Riaz, Mansoor Shakeel, Abdullah Mohamed, and Elimam Ali. 2022. "Metaheuristic-Based Practical Tool for Optimal Design of Reinforced Concrete Isolated Footings: Development and Application for Parametric Investigation" Buildings 12, no. 4: 471. https://doi.org/10.3390/buildings12040471

APA Style

Waheed, J., Azam, R., Riaz, M. R., Shakeel, M., Mohamed, A., & Ali, E. (2022). Metaheuristic-Based Practical Tool for Optimal Design of Reinforced Concrete Isolated Footings: Development and Application for Parametric Investigation. Buildings, 12(4), 471. https://doi.org/10.3390/buildings12040471

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