Welcome to the InfoSci Platform
Optimum Design of Reinforced Concrete Beams: Optimization of RC Beams

Optimum Design of Reinforced Concrete Beams: Optimization of RC Beams

Copyright: © 2020 |Pages: 21
ISBN13: 9781799826644|ISBN10: 1799826643|EISBN13: 9781799826668
DOI: 10.4018/978-1-7998-2664-4.ch003
Cite Chapter Cite Chapter

MLA

Aylin Ece Kayabekir, et al. "Optimum Design of Reinforced Concrete Beams: Optimization of RC Beams." Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities, IGI Global, 2020, pp.71-91. https://doi.org/10.4018/978-1-7998-2664-4.ch003

APA

A. Kayabekir, G. Bekdaş, & S. Nigdeli (2020). Optimum Design of Reinforced Concrete Beams: Optimization of RC Beams. IGI Global. https://doi.org/10.4018/978-1-7998-2664-4.ch003

Chicago

Aylin Ece Kayabekir, Gebrail Bekdaş, and Sinan Melih Nigdeli. "Optimum Design of Reinforced Concrete Beams: Optimization of RC Beams." In Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2664-4.ch003

Export Reference

Mendeley
Favorite

Abstract

The design of reinforced concrete (RC) beams need special conditions to provide a ductile design. In this design, the maximum amount of tensile reinforcement must be limited to singly reinforced design. After the singly reinforced limit, the cost of doubly reinforced RC beam rapidly increases, and it may not be an optimum design. To consider this nonlinear behavior and other rules used in RC structures according to regulations such as ACI 318: Building code requirements for structural concrete and Eurocode 2: Design of concrete structures, an algorithmic and iteration optimization method is needed. In this chapter, two examples are presented, and optimum results are shared for methodologies employing several metaheuristic algorithms. The importance of using metaheuristic algorithms can be seen in this chapter.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.