Particle Swarm Optimization for Design of Beam

A. P., Wadekar and Pooja, Ashok Yerekar and Rahul, D. Pandit (2019) Particle Swarm Optimization for Design of Beam. In: 8th International Conference on Advances in Civil, Structural and Environmental Engineering - ACSEE, 12 -13 January 2019, Kuala Lumpur, Malaysia.

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Particle Swarm Optimization is an optimization technique emulates from social behaviour i.e. birds flocking, fish schooling and bee behaviour and it is also related to A-life i.e. artificial life (human life). It has wide range of applications in almost every field. In this paper we are applying this technique to Civil Engineering field for designing different types of beam loaded with UDL and supported with different support conditions i.e. simply support, cantilever and fixed support for obtaining optimal quantities of area of steel, moment of resistance and shear stress. With the help of PSO algorithm, MAT-LAB coding is formulated. Area of steel, Moment of resistance and Shear Stress obtain with the help of PSO model is compared with the results obtain by different computational methods i.e. 1) By using IS 456-2000 with manual calculations by rounding off values; 2) Using IS 456-2000 with manual calculations without rounding off values, And 3) Excel sheet calculation.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: GBEST – Global Best, LBEST – Local Best, PSO – Particle Swarm Optimization, R/F –reinforcement
Depositing User: Mr. John Steve
Date Deposited: 06 Mar 2019 07:34
Last Modified: 06 Mar 2019 09:17

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