Health Assessment Approach for Structure by Fusion of Stress Concentration Factor and Bayesian Theory

doi:10.3901/JME.2019.24.021

Abstract

Abstract: Aiming at the low accuracy of traditional structural health assessment approach, the health assessment approach for structure by fusion of stress concentration factor and Bayesian theory is proposed. The prior parameters distribution for different damage situation based on non-homogeneous Poisson process is obtained by combine the ordering model of stress concentration factor with the non-homogeneous Poisson model, and having an effective integration on the test information with the ordering relation, by using Bayesian method. The posterior distribution calculation approach based on Bayesian is achieved by using the prior information, based on the progressive factor and the likelihood function. Further, a case study of the proposed structural health assessment approach is carried out, and the predicted results are compared with the independent test results. It can be clearly found from the results that the average accuracy is 91.99%. The proposed approach can be used to completes the purpose of health assessment by using a small amount of test information, and provides a way for the accurate assessment of structural health.

Key words: stress concentration factor, bayesian approach, non-homogeneous, progressive factor, health assessment

CLC Number:

TH17

ZHU Lin, JIA Minping, LIN Mingzhi, CHEN Hui. Health Assessment Approach for Structure by Fusion of Stress Concentration Factor and Bayesian Theory[J]. Journal of Mechanical Engineering, 2019, 55(24): 21-27,36.

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