国际设备工程与管理（英文版）2008，Vol.13Issue(1)：10-19,10.
Assessment of Structural Damage Condition Based on Fuzzy Pattern Recognition
Assessment of Structural Damage Condition Based on Fuzzy Pattern Recognition
摘要
Abstract
This paper presents a new method of damage condition assessment that allows accommodating other types of uncertainties due to ambiguity, vagueness, and fuzziness that are statistically non-describable. In this method, healthy observations are used to construct a fuzzy set representing sound performance characteristics. Additionally, the bounds on the similarities among the structural damage states are prescribed by using the state similarity matrix. Thus, an optimal group fuzzy sets representing damage states such as little, moderate, and severe damage can be inferred as an inverse problem from healthy observations only. The optimal group of damage fuzzy sets is used to classify a set of observations at any unknown state of damage using the principles of fuzzy pattern recognition based on an approximate principle. This method can be embedded into the system of Structural Health Monitoring (SHM) to give advice about structural maintenance and life prediction. Finally, a case study, which comes from Reference [9] for damage pattern recognition is presented and discussed. The compared result illustrates our method is more effective and general, so it is very practical in engineering.关键词
damage condition assessment, fuzzy pattern recognition, state similarity matrix, approximate principle, structural health monitoringKey words
damage condition assessment, fuzzy pattern recognition, state similarity matrix, approximate principle, structural health monitoring分类
管理科学引用本文复制引用
WU Zi-yan,ZHANG Yu..Assessment of Structural Damage Condition Based on Fuzzy Pattern Recognition[J].国际设备工程与管理（英文版）,2008,13(1):10-19,10.基金项目
This paper is supported by the National High Technology Research and Development Program ("863" Program) of China under Grant No.2006AA04Z437 （"863" Program）
