This Article Full Text (PDF) All Versions of this Article: 1045389X08099659v1 20/8/907    most recent References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Wang, X. Articles by Tang, J. Search for Related Content Social Bookmarking                         What's this?

Damage Identification Using Piezoelectric Impedance Approach and Spectral Element Method

Department of Mechanical Engineering, The University of Connecticut, Storrs, CT 06269, USA

J. Tang

Department of Mechanical Engineering, The University of Connecticut, Storrs, CT 06269, USA, jtang{at}engr.uconn.edu

The basic idea of the impedance-based damage detection is that the electrical impedance of the piezoelectric transducer attached to a structure is directly related to the mechanical impedance of the host structure. Therefore, damage effect can be reflected in the change of the piezoelectric impedance curves before and after damage occurrence. As the piezoelectric impedance information can be extracted at relatively high-frequency range, such a method is considered to be sensitive to small-sized damage. Previous studies on this approach mainly focus on declaring damage occurrence. In this research, we develop a model-based method that can identify both the location and the severity of the damage. The model is built upon the spectral element method, which has high computational accuracy and numerical efficiency in the high-frequency range. Using the difference between the impedance curves of the system monitored and the system at its healthy baseline state as input, an inverse identification procedure is formulated to extract directly the property change of the structural elements. Extensive numerical and experimental studies are carried out to demonstrate the effectiveness of the proposed method.

Key Words: piezoelectric impedance • spectral element method • model-based inverse damage identification.

This version was published on May 1, 2009

Journal of Intelligent Material Systems and Structures, Vol. 20, No. 8, 907-921 (2009)
DOI: 10.1177/1045389X08099659


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?