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Metaheuristic approaches for optimum design of reinforced concrete structures : emerging research and opportunities / Aylin Ece Kayabekir, Gebrail Bekdaş, and Sinan Melih Nigdeli.

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Format:
Book
Author/Creator:
Kayabekir, Aylin Ece, 1993- author.
Bekdas, Gebrail, 1980- author.
Nigdeli, Sinan Melih, 1982- author.
Series:
Advances in chemical and materials engineering (ACME) book series.
Advances in chemical and materials engineering (ACME) book series
Language:
English
Subjects (All):
Buildings, Reinforced concrete--Design and construction--Data processing.
Buildings, Reinforced concrete.
Reinforced concrete construction--Mathematics.
Reinforced concrete construction.
Metaheuristics.
Physical Description:
16 PDFs (229 pages)
Place of Publication:
Hershey, Pennsylvania : IGI Global, [2020]
System Details:
Mode of access: World Wide Web.
Summary:
"This book explores the use of metaheuristic approaches in the optimum design of reinforced concrete structures"-- Provided by publisher.
Contents:
Chapter 1. Introduction and state-of-the-art review of optimum design of reinforced concrete structures: overview for optimum design RC structures
Chapter 2. Brief information about metaheuristic methods: history and theory of metaheuristics
Chapter 3. Optimum design of reinforced concrete beams: optimization of RC beams
Chapter 4. Optimum design of reinforced concrete columns: optimization of RC columns
Chapter 5. Metaheuristic optimization of reinforced concrete footings: optimization of RC footings
Chapter 6. Metaheuristic optimization of reinforced concrete frames: optimization of RC frames
Chapter 7. Optimum design of reinforced concrete retaining walls: optimization of RC retaining walls
Chapter 8. Optimum design of carbon fiber-reinforced polymer for increasing shear capacity of beams: optimization of CFRP for RC beams
Chapter 9. Optimum design of post-tensioned axially-symmetric cylindrical reinforced concrete walls.
Notes:
Description based on print version record.
Includes bibliographical references and index.
ISBN:
9781799826668
OCLC:
1145356803

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