Damage identification in beams using empirical mode decomposition

Author:

Rezaei Davood1,Taheri Farid2

Affiliation:

1. Department of Civil and Resource Engineering, Dalhousie University, Halifax, NS, Canada

2. Department of Civil and Resource Engineering, Dalhousie University, Halifax, NS, Canada,

Abstract

Damage detection of beam-type components, which are often vital elements in many structures, is crucial for the prevention of failure of the entire structure and potential catastrophic consequences. In this article, the effectiveness of a damage index, referred to as the EMD energy damage index, for damage detection of beams is demonstrated through a set of numerical and experimental investigations. The proposed damage index utilizes the empirical mode decomposition for health assessment of the system based on its vibrational data. In the numerical study, finite element simulation of a cantilevered steel beam with a transverse notch was analyzed and various notch sizes, located at different locations along the beam, were investigated. In the experimental investigation, which used the same beam as in the numerical study, five notch sizes at the mid-span of the beam were examined. In both the numerical and experimental studies, the free vibration of the beam was acquired via piezoceramic sensors adjacent to the notch and then processed by the proposed methodology for evaluating the EMD energy damage index. This was motivated as the preliminary stage of our investigation with the notion of detecting the presence of a crack in a welded joint. The results were encouraging and proved the capability of the EMD energy damage index for detection and quantification of notches in beams and therefore can be regarded as an effective tool for structural health monitoring purposes. The results were also compared with a method based on changes in the beam natural frequencies. The effect of the boundary conditions on the EMD energy damage index was also experimentally studied.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Biophysics

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