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Innovative method of empirical mode decomposition as spatial tool for structural damage identification
Author(s) -
Reddy D. Mallikarjuna,
Krishna Praveen
Publication year - 2015
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.1676
Subject(s) - hilbert–huang transform , structural engineering , stiffness , bridge (graph theory) , discretization , beam (structure) , sensitivity (control systems) , decomposition , strain (injury) , identification (biology) , computer science , engineering , energy (signal processing) , mathematics , statistics , chemistry , electronic engineering , medicine , mathematical analysis , botany , organic chemistry , biology
Summary A new approach to sensitize detecting structural damage using empirical mode decomposition (EMD) of the spatial signals is proposed. The difference of undamaged and damaged spatial strain and strain energy data for the beam and bridge modes is processed through the EMD, which yields the respective IMF1, which shows that damage location can be identified distinctively for as low as 0.01% reduction in elemental stiffness of beam discretized with 30 elements. An analysis was also carried out for a two‐dimensional bridge model (I‐40). It can detect damage sensitivity up to 0.5% loss in stiffness of the bridge. EMD as a spatial analysis tool seems to be the most sensitive among all methods currently available. Copyright © 2014 John Wiley & Sons, Ltd.