On the use of energy minimization for CA based analysis in elasticity
On the use of energy minimization for CA based analysis in elasticity
复制标题
DOI：
10.1007/s00158-001-0162-2
复制
发表时间：
2000-04
影响因子：
3.9
通讯作者：
P. Hajela;Byong Kim
中科院分区：
文献类型：
--
作者：
P. Hajela;Byong Kim
最近有兴趣探索替代计算模型的结构分析，更适合于需要重复分析的设计环境。对这种模型的需求是由计算机处理速度的显著提高带来的，主要是通过并行处理来实现的。然而，为了充分利用这种并行机，必须从一个完全不同的角度重新审视计算方法本身;固有的串行范例的并行化受到信息协调要求的限制。分散计算的元胞自动机（CA）模型提供了一种这样的方法，这是理想的并行计算机量身定制。本文探讨了元胞自动机模型在二维弹性问题中的适用性。本文的重点是在使用遗传算法为基础的优化过程中，以获得当地的相互作用所需的元胞自动机的发展规则。
There has been recent interest in exploring alternative computational models for structural analysis that are better suited for a design environment requiring repetitive analysis. The need for such models is brought about by significant increases in computer processing speeds, realized primarily through parallel processing. To take full advantage of such parallel machines, however, the computational approach itself must be revisited from a totally different perspective; parallelization of inherently serial paradigms is subject to limitations introduced by a requirement of information coordination. The cellular automata (CA) model of decentralized computations provides one such approach which is ideally tailored for parallel computers. The proposed paper examines the applicability of the cellular automata model in problems of 2-D elasticity. The focus of the paper is in the use of a genetic algorithm based optimization process to derive the rules for local interaction required in evolving the cellular automata.