Optimization Design Of A RC Slab Under Impact
Load Using DPSO-based Multiple Optimal
Solutions
Author(s)
M. Beppu, H. Emoto, H. Nakamura & A. Miyamoto
Abstract
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) [1], as
powerful and applicable stochastic search and optimization algorithms, are
finding increasing use for solving combinatorial problem.
Keywords
discrete particle swarm optimization, RC slab, impact load.
Related Book
Other papers in this volume
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