Structural damage identification using piezoelectric impedance and Bayesian inference

Q. Shuai; K. Zhou; J. Tang

doi:10.1117/12.2084442

3 April 2015 Structural damage identification using piezoelectric impedance and Bayesian inference

Q. Shuai, K. Zhou, J. Tang

Proceedings Volume 9435, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015; 94351R (2015) https://doi.org/10.1117/12.2084442
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2015, San Diego, California, United States

Abstract

Structural damage identification is a challenging subject in the structural health monitoring research. The piezoelectric impedance-based damage identification, which usually utilizes the matrix inverse-based optimization, may in theory identify the damage location and damage severity. However, the sensitivity matrix is oftentimes ill-conditioned in practice, since the number of unknowns may far exceed the useful measurements/inputs. In this research, a new method based on intelligent inference framework for damage identification is presented. Bayesian inference is used to directly predict damage location and severity using impedance measurement through forward prediction and comparison. Gaussian process is employed to enrich the forward analysis result, thereby reducing computational cost. Case study is carried out to illustrate the identification performance.

Citation Download Citation

Q. Shuai, K. Zhou, and J. Tang "Structural damage identification using piezoelectric impedance and Bayesian inference", Proc. SPIE 9435, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2015, 94351R (3 April 2015); https://doi.org/10.1117/12.2084442

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