Optimizing Reinforced Concrete Bridge Decks Using Particle Swarm Algorithm

Namdar Davani, Mehdi (2017) Optimizing Reinforced Concrete Bridge Decks Using Particle Swarm Algorithm. Masters thesis, University of Mohaghegh Ardabili.

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Abstract

One of the most important parameters in the deck geometry of the bridge is the cost of construction, or the economy of the bridge. An optimal deck plan is a plan that, at the same same time as meeting all of the limitations, such as regulations and design constraints, has the lowest cost of construction. The main objective of this thesis is to minimize the cost of constructing an Reinforced Concrete bridge deck with T-shaped shafts using the particle swarm optimization algorithm. This work was done using 11 variables and 14 design constraints. Among the most important variables, we can mention the different dimensions of the deck bridge geometry, the cross section of reinforcement and the number of shafts. Design constraints include limitation of the codes and limitations due to the longitudinal and transverse bending moment, shear and deflection and so on. The following is a comparison between the cost of optimized model and the normal model (without optimization) And percentage of cost reduction (percentage of optimization). The results indicate 5.5 to 7.5 percent reduction in costs and Finally, a comparison between the performance of the particle swarm optimization algorithm and the genetic algorithm in solving the problem of the deck design of the bridge has been made.

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