Publication Type : Journal Article
Publisher : Structural Integrity and life
Campus : Chennai
School : School of Engineering
Department : Mechanical Engineering
Year : 2020
Abstract : The present work is based on the development of a fault detection method for moving load dynamics problem in the domain of statistical process control (SPC) analysis. The proposed work is aimed to find out the probable existence of cracks and its locations on structure subjected to moving load. In the present analysis, a multi-cracked cantilever beam subjected to a moving load has been considered. The feasible existences and positions of cracks on the structure are spotted from the calculated dynamic responses of the cracked beam. The dynamic responses of the structure are determined using Runge-Kutta approach followed by finite element analysis (FEA) verifications as forward problem analysis. The control chart mechanism has been initially included to find out the potential existences of cracks in the pattern of SPC analogy. The novel auto regressive (AR) technique in the domain of statistical pattern recognition approach is implemented to locate the feasible positions of cracks in the structure as reverse problem. The SPC technique, the reverse problem, analysis has been conducted in a supervised approach. The results obtained from the numerical and FEA methods congregate well those with SPC approach
Cite this Research Publication : Crack detection in moving load dynamics problems based statistical process control approach, Shakti P Jena and Dayal R Parhi, S Naresh Kumar, B Subbaratnam, Structural Integrity and life,20(Special),S5-S9,2020.(WOS)