Optimization Design Of A RC Slab Under Impact Load Using DPSO-based Multiple Optimal Solutions
Free (open access)
M. Beppu, H. Emoto, H. Nakamura & A. Miyamoto
This study presents an application of optimization algorithm to design of reinforced concrete (RC) slab under impact load. Firstly, a novel stochastic search algorithm termed discrete particle swarm optimization (DPSO) and its improvement is explained to obtain multiple optimal solutions. Then, the newly developed algorithm is applied to optimization design of RC slab under impact load. In this procedure, FE analysis is employed to evaluate the dynamic behavior of RC slab. As a result, possibility and reliability of optimization design of RC slab under impact load was demonstrated. Keywords: discrete particle swarm optimization, RC slab, impact load. 1 Introduction In order to design structures which can resist impact/impulsive load, it is necessary to investigate the index for structural safety. Especially in case an impact resistance performance is examined by using numerical analysis, it is necessary to make sure the influence of analytical parameters on results. However, it is extremely difficult to carry out these procedures because impact/impulsive behavior of concrete structures are very complicated. In practical structural optimization design, the genetic algorithms (GAs) , as powerful and applicable stochastic search and optimization algorithms, are finding increasing use for solving combinatorial problem.
discrete particle swarm optimization, RC slab, impact load.