Use of bivariate gamma function to reconstruct dynamic behavior of laminated composite plates containing embedded delamination under impact loads

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초록

This study deals with a method based on the modified bivariate gamma function for reconstructions of dynamic behavior of delaminated composite plates subjected to impact loads. The proposed bivariate gamma function is associated with micro-genetic algorithms, which is capable of solving inverse problems to determine the stiffness reduction associated with delamination. From computing the unknown parameters, it is possible for the entire dynamic response data to develop a prediction model of the dynamic response through a regression analysis based on the measurement data. The validity of the proposed method was verified by comparing with results employing a higher-order finite element model. Parametric results revealed that the proposed method can reconstruct dynamic responses and the stiffness reduction of delaminated composite plates can be investigated for different measurements and loading locations.

키워드

bivariate gamma functiondelaminated composite platesmicro-genetic algorithmdynamic behaviorstiffness reductionDAMAGE DETECTIONSTIFFNESS REDUCTIONSFREE-VIBRATIONSKEW PLATESIDENTIFICATIONSIMULATION
제목
Use of bivariate gamma function to reconstruct dynamic behavior of laminated composite plates containing embedded delamination under impact loads
저자
Lee, Sang-YoulJeon, Jong-Su
DOI
10.12989/sem.2019.70.1.001
발행일
2019-04
유형
Article
저널명
Structural Engineering and Mechanics, An Int'l Journal
70
1
페이지
1 ~ 11