베이지언 추론에 기반한 확률론적 피로수명 평가

Stochastic Fatigue Life Assesment based on Bayesian-inference

초록

In general, fatigue analysis is performed by using deterministic model to estimate the optimal parameters. However, the deterministic model is difficult to clearly describe the physical phenomena of fatigue failure that contains many uncertainty factors. With regard to this, efforts have been made in this research to compare with the deterministic model and the stochastic models. Firstly, One deterministic S-N curve was derived from ordinary least squares technique and two P-S-N curves were estimated through Bayesian-linear regression model and Markov-Chain Monte Carlo simulation. Secondly, the distribution of Long-term fatigue damage and fatigue life were predicted by using the parameters obtained from the three methodologies and the long-term stress distribution.

키워드

Long-term fatigue damage(장기 피로 손상도)Stochastic fatigue life assessment(확률론적 피로 수명 평가)Probabilistic S-N curve(확률론적 S-N 곡선)Bayesian inference(베이지언 추론)Bayesian linear regression(베이지언 선형 회귀)Markov chain monte carlo simulation(마르코프 체인 몬테 카를로 시뮬레이션)
제목
베이지언 추론에 기반한 확률론적 피로수명 평가
제목 (타언어)
Stochastic Fatigue Life Assesment based on Bayesian-inference
저자
박명진김유일
DOI
10.3744/SNAK.2019.56.2.161
발행일
2019-04
유형
Y
저널명
대한조선학회 논문집
56
2
페이지
161 ~ 167