计算机工程与应用2012，Vol.48Issue(34)：184-189,6.DOI:10.3778/j.issn.1002-8331.1105-0229
基于Newton-Raphson迭代与PSO数字图像相关方法
Digital image correlation method based on Newton-Raphson method and particle swarm optimization algorithm
摘要
Abstract
Since the Digital Image Correlation(DIC) method based on the Newton-Raphson(N-R) method is sensitive to initial values, in the paper, a new DIC method based on the N-R method and the Particle Swarm Optimization (PSO) algorithm is proposed. The new DIC method has the parallel computing capability of the PSO algorithm and local search capability of the N-R method. In searching, the initial values are updated in the process of the alternate iteration of several times by the two methods(N-R and PSO). The N-R method is used as the last iteration, in which the updated initial values are used. It is found that compared with the N-R method, the new DIC method is not strict to the initial values. This is due to the fact that the initial values of the displacement and strain have been updated since the two methods iterate alternately several times. The displacement and strain of points on a surface of a simulated material model stressed are calculated during the failure and satisfying results are obtained.关键词
数字图像相关方法/Newton-Raphson迭代/粒子群优化算法/初值Key words
digital image correlation method/ Newton-Raphson iteration method/ particle swarm optimization algorithm/ initial value分类
信息技术与安全科学引用本文复制引用
杜亚志,王学滨..基于Newton-Raphson迭代与PSO数字图像相关方法[J].计算机工程与应用,2012,48(34):184-189,6.基金项目
国家自然科学基金项目(No.50974069) （No.50974069）
辽宁省教育厅2009年度高等学校科研项目(No.2009A322). （No.2009A322）
