Durability-Based Optimization of Reinforced Concrete Reservoirs Using Artificial Bee Colony Algorithm

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Saeed KIA
Saeed KIA
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Mohammad Reza Ghasemi
Mohammad Reza Ghasemi
α University of Sistan and Baluchestan

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Durability-Based Optimization of Reinforced Concrete Reservoirs Using Artificial Bee Colony Algorithm

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Abstract

Optimization techniques play an important role in structural design, the very purpose of which is to find the best ways so that a designer or a decision maker can derive a maximum benefit from the available resources. This paper describes a new reinforced concrete reservoirs optimization with artificial bee colony algorithm base on durable structure for three major filed as theoretical, practical, and using prismatic stiffeners in shell elements of structure according to the modeling and design philosophy. In this research, firstly, the elements of RCR shells are typed according to the performed analysis; then the range of membrane thickness and the minimum and maximum cross section of consumed bar are determined on the maximum stress. In next phase, based on RCR analysis and using the algorithm of PARIS connector, the related information are combined with the code for ABC algorithm to determine the optimum thickness of cross sections for RCR membrane elements and the optimum cross section of consumed bars.

References

10 Cites in Article
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  2. Shahab Dean,Mohaghegh (2011). Reservoir simulation and modeling based on artificial intelligence and data mining (AI & DM).
  3. J Chen,M Kianoush (2009). Generalized of reinforced concrete tanks.
  4. V Thevendran,David Thambiratnam (1987). Optimal shapes of cylindrical concrete water tanks.
  5. E Hinton,N Rao (1993). Structural shape optimization of shells and folded plates using two noded finite strips.
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  7. Kia Saeed,Reza Mohammad,Ghasemi (2012). Modeling and shape optimization of reinforced concrete reservoirs using particle swarm algorithm.
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  9. Matthias Firl,Kai-Uwe Bletzinger (2012). Shape optimization of thin walled structures governed by geometrically nonlinear mechanics.
  10. Dervis Karaboga,Bahriye Basturk (2007). A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Saeed KIA. 2012. \u201cDurability-Based Optimization of Reinforced Concrete Reservoirs Using Artificial Bee Colony Algorithm\u201d. Global Journal of Research in Engineering - E: Civil & Structural GJRE-E Volume 12 (GJRE Volume 12 Issue E3): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Version of record

v1.2

Issue date

August 28, 2012

Language
en
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Optimization techniques play an important role in structural design, the very purpose of which is to find the best ways so that a designer or a decision maker can derive a maximum benefit from the available resources. This paper describes a new reinforced concrete reservoirs optimization with artificial bee colony algorithm base on durable structure for three major filed as theoretical, practical, and using prismatic stiffeners in shell elements of structure according to the modeling and design philosophy. In this research, firstly, the elements of RCR shells are typed according to the performed analysis; then the range of membrane thickness and the minimum and maximum cross section of consumed bar are determined on the maximum stress. In next phase, based on RCR analysis and using the algorithm of PARIS connector, the related information are combined with the code for ABC algorithm to determine the optimum thickness of cross sections for RCR membrane elements and the optimum cross section of consumed bars.

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Durability-Based Optimization of Reinforced Concrete Reservoirs Using Artificial Bee Colony Algorithm

Saeed KIA
Saeed KIA University of Sistan and Baluchestan
Mohammad Reza Ghasemi
Mohammad Reza Ghasemi

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