基于子结构技术和Landweber迭代正则化的载荷识别

Load Identification Based on Substructure Technology and Landweber Iterative Regularization

为解决大型复杂结构上的载荷识别问题,提出了一种基于子结构减缩技术和Landweber迭代正则化的载荷识别方法,将模型减缩技术中的子结构分析方法应用于动态响应的求解,基于Landweber迭代正则化来解决载荷识别过程中的不适定性问题。通过对比例车体模型的数值仿真分析,并与传统的Tikhonov正则化方法进行对比,其结果表明:该方法不仅能准确识别作用在比例车体上多种形式载荷,而且其抗噪性和鲁棒性均明显优于Tikhonov正则化方法。

To solve the problem of large and complex structured load identification,a load identification method based on substructure reduction technique and Landweber iterative regularization was proposed.The substructure analysis method in the model reduction technology was applied to obtain dynamic response,and Landweber iterative regularization was used to solve the ill-posed problem in load identification process.Through the simulation analysis of the scaled car-body model,the proposed method was compared with the traditional Tikhonov regularization one.The results show that the proposed method can not only accurately identify various forms of load on the scaled car-body,but also bring about better performance in noise resistance and robustness than that of the Tikhonov regularization one.