Technical Papers
May 31, 2023

Grey Wolf Optimization–Aided Cost-Minimization Technique of Reinforced Concrete T-Beam at Ultimate Load

Publication: Practice Periodical on Structural Design and Construction
Volume 28, Issue 3

Abstract

Minimizing construction cost while simultaneously meeting structural requirements has been an important topic. This study addresses the application of grey wolf optimization (GWO) to the cost minimization of T-beams subjected to ultimate loading. Both the objective and constraints functions take the self-weight of T-beams into account. Due to their section modulus, T-beams have a high ultimate bending moment capacity, especially over long spans. The objective function has been split into three subobjectives: concrete, steel, and formwork costs. Standard design constraints were followed. The constraint functions include the nonlinear behavior of concrete and steel. Ten T-beams of varied lengths were evaluated, and corresponding low-cost design solutions were provided. The relationship between the length of the T-beam and the efficiency of GWO was demonstrated. Comparisons between optimal solutions attained and standard design solution demonstrated conclusively that the proposed method typically results in large reductions in the quantity of building materials needed. This method can be easily adaptable to various types of RC frame construction and other building codes.

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Data Availability Statement

All data generated or used during the study appear in the submitted article. MATLAB codes that support the findings of this study are available from the corresponding author upon reasonable request.

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Go to Practice Periodical on Structural Design and Construction
Practice Periodical on Structural Design and Construction
Volume 28Issue 3August 2023

History

Received: Jan 4, 2023
Accepted: Apr 5, 2023
Published online: May 31, 2023
Published in print: Aug 1, 2023
Discussion open until: Oct 31, 2023

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Research Scholar, Dept. of Civil Engineering, National Institute of Technology Silchar, Silchar, Assam 788010, India (corresponding author). ORCID: https://orcid.org/0009-0000-3154-5060. Email: [email protected]
Ashim Kanti Dey
Professor, Dept. of Civil Engineering, National Institute of Technology Silchar, Silchar, Assam 788010, India.
Aminul Islam Laskar
Professor, Dept. of Civil Engineering, National Institute of Technology Silchar, Silchar, Assam 788010, India.

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