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CONCRETE RESERVOIRS OPTIMIZATION BY PRISMATIC STIFFENERS USING PARTICLE SWARM ALGORITHM

عنوان مقاله: CONCRETE RESERVOIRS OPTIMIZATION BY PRISMATIC STIFFENERS USING PARTICLE SWARM ALGORITHM
شناسه ملی مقاله: ICCT04_124
منتشر شده در چهارمین کنفرانس بین المللی مقاوم سازی در سال 1391
مشخصات نویسندگان مقاله:

Mohammad Reza Ghasemi - Associate Professor of University of Sistan and Baluchestan, Zahedan, IRAN
Saeed KIA - M.Sc. in Structural Engineering at University of Sistan and Baluchestan, Zahedan, IRAN

خلاصه مقاله:
Concrete reservoirs are one of the major structures applied for reserving fluids to be used in the networks of drinking water. Usually, these rectangular reservoirs have fixed shapes; they are designed and calculated based on input Debi, the conditions of structure land and the kinds of static and dynamic loads. In this research, first, the elements of reservoir walls 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 reservoir analysis and using the algorithm of PARIS connector, the related information are combined with the code for particle swarm optimization (PSO) algorithm, an algorithm for swarming search, to determine the optimum thickness of cross sections for reservoir membrane elements and the optimum cross section of consumed bars. Based on very complex mathematical linear models for correct embedding and angles related to a chain of peripheral strengthening membranes, which optimize the structure vibrational, a mutual relation is selected between the modelling software and code for particle swarm optimization algorithm. Finally, the comparative weight of concrete reservoir optimized by peripheral strengthening membrane is analysed by common methods. This analysis shows 19% decrease for bar weight, 20% decrease for concrete weight and minimum 13% saving for construction costs according to the items of checklist for a concrete reservoir at 10,000m3.

کلمات کلیدی:
Reinforced concrete reservoirs, Prismatic stiffeners strips, Particle swarm optimization

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/206944/