Development of Time-Reversal Method for Impact Source Identification on Plate Structures
Author(s) -
Chunlin Chen,
Yulong Li,
Fuh-Gwo Yuan
Publication year - 2013
Publication title -
shock and vibration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 45
eISSN - 1875-9203
pISSN - 1070-9622
DOI - 10.1155/2013/312169
Subject(s) - calibration , identification (biology) , isotropy , reliability (semiconductor) , transfer function , inverse problem , noise (video) , inverse , stability (learning theory) , computer science , algorithm , acoustics , mathematics , structural engineering , mathematical analysis , geometry , engineering , physics , statistics , optics , artificial intelligence , power (physics) , botany , electrical engineering , quantum mechanics , machine learning , image (mathematics) , biology
This paper presents a detailed study on the impact source identification of a plate structure using time-reversal (T-R) method. Prior to impact monitoring, the plate is calibrated (or characterized) by transfer functions at discrete locations on the plate surface. Both impact location and impact loading time-history are identified using T-R technique and associated signal processing algorithms. Numerical verification for finite-size isotropic plates under low velocity impacts is performed to demonstrate the versatility of T-R method for impact source identification. The tradeoff between accuracy of the impact location detection and calibration spacing is studied in detail. In particular, the effect of plate thickness on calibration spacing has been examined. A number of parameters selected for determining the impact location, approximated transfer functions and steps taken for reconstructing the impact loading time-history are also examined. Two types of noise with various intensities contaminated in strain response and/or transfer functions are investigated for demonstrating the stability and reliability of the T-R method. The results show that T-R method is robust against noise in impact location detection and force reconstruction in circumventing the inherent ill-conditioned inverse problem. Only transfer functions are needed to be calibrated and four sensors are requested in T-R method for impact identification.
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