文献类型：期刊文献

英文题名：Enhanced Singular Value Truncation Method for Non-Destructive Evaluation of Structural Damage Using Natural Frequencies

作者：Yang, Qiuwei[1];Wang, Chaojun[1];Li, Na[1];Wang, Wei[1];Liu, Yong[2]

机构：[1]Shaoxing Univ, Sch Civil Engn, Shaoxing 312000, Zhejiang, Peoples R China;[2]Wuhan Univ, State Key Lab Water Resources & Hydropower, Engn Sch, Wuhan 430072, Hubei, Peoples R China

年份：2019

卷号：12

期号：7

外文期刊名：MATERIALS

收录：SCI-EXPANDED(收录号：WOS:000465500700020)、、EI(收录号：20191806858315)、Scopus(收录号：2-s2.0-85064908036)、WOS

基金：This research was funded by the National Natural Science Foundation of China (Grant numbers [11202138,41772311]) and the Zhejiang Provincial Natural Science Foundation of China (Grant number [LY17E080016]).

语种：英文

外文关键词：non-destructive evaluation; structural damage; natural frequency; singular value truncation; multiple feedbacks; data noise

外文摘要：As natural frequencies can be easily and accurately measured, structural damage evaluation by frequency changes is very common in engineering practice. However, this type of method is often limited by data, such as when the available natural frequencies are very few or contaminated. Although much progress has been made in frequency-based methods, there is still much room for improvement in calculation accuracy and efficiency. To this end, an enhanced singular value truncation method is proposed in this paper to evaluate structural damage more effectively by using a few lower order natural frequencies. The main innovations of the enhanced singular value truncation method lie in two aspects: The first is the normalization of linear systems of equations; the second is the multiple computations based on feedback evaluation. The proposed method is very concise in theory and simple to implement. Two numerical examples and an experimental example are employed to verify the proposed method. In the numerical examples, it was found that the proposed method can successively obtain more accurate damage evaluation results compared with the traditional singular value truncation method. In the experimental example, it was shown that the proposed method possesses more precise and fewer calculations compared with the existing optimization algorithms.