A cellular framework for structural analysis and optimization

Abstract

The present paper describes the implementation of a cellular automata based computational approach in structural analysis and design. This approach assumes that a computational domain can be subdivided into a number of discrete cells, with state variables associated with each cell. Collectively, these cell states define the state of the entire domain, and which may be evolved through application of local rules of interaction that apply to a defined neighborhood around each cell. The computational process is intrinsically parallel in nature, and allows for a natural implementation on parallel computers. The paper describes an overview of this computational model for the analysis of structural systems, and demonstrates how it can be extended for a fine-grained parallel implementation of the genetic algorithm based optimization strategy. The paper also illustrates an extension of the proposed model in solving problems of simultaneous analysis and optimization.