Optimal Design of Reinforced Concrete Box
Culvert by Using Genetic Algorithms Method, Hawraa Ali Hussein3
الباحث الأول:
Hassan K. Al. Shukur-
الباحثين الآخرين:
Dr. Mohammed Abbas Al. Jumaili
Hawraa Ali Hussein
المجلة:
International Journal of Scientific & Engineering Research, Volume 5, Issue 1, January-2014
تاريخ النشر:
None
مختصر البحث:
Abstract-This paper shows the optimal design of reinforced concrete box culvert based on minimum cost (economical design). The Genetic Algorithms (GAs)is the proposed method to optimize the structure which used as a tools box in MATLAB software vers…
Abstract-This paper shows the optimal design of reinforced concrete box culvert based on minimum cost (economical design). The Genetic Algorithms (GAs)is the proposed method to optimize the structure which used as a tools box in MATLAB software version 2011, and the results of these method were verified by using Sequential Quadratic Programming (SQP) method which also used as tool box in MATLAB software version 2011. The formulation of the problem includes 11 design variables: two geometrical, and 9 structural variables for the reinforcement set-up and the thickness of top, bottom, and the thickness of side walls. A parametric study was conducted to specify initial population and population size and concluded that the optimum results were obtain for initial population= [1.8 1.8 0.2 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.000232773728 0.000232773728], and population size=100.
