Mg-Al-Zn 합금의 최대하중 조건에 따른 확률론적 피로균열전파모델 연구(I) : 확률변수의 잔차를 이용
최선순
Abstract
최선순
Abstract
The aim of this study is to estimate the probabilistic fatigue crack propagation models using the residual of a random variable and to present the model fit for a probabilistic fatigue behavior in Mg-Al-Zn alloy. The probabilistic models proposed are probabilistic Paris-Erdogan model, probabilistic Walker model, probabilistic Forman model, and probabilistic modified Forman model. These models are prepared by applying a random variable to empirical fatigue crack propagation models such as Paris-Erdogan model, Walker model, Forman model, and modified Forman model.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The aim of this study is to estimate the probabilistic fatigue crack propagation models using the residual of a random variable and to present the model fit for a probabilistic fatigue behavior in Mg-Al-Zn alloy. The probabilistic models proposed are probabilistic Paris-Erdogan model, probabilistic Walker model, probabilistic Forman model, and probabilistic modified Forman model. These models are prepared by applying a random variable to empirical fatigue crack propagation models such as Paris-Erdogan model, Walker model, Forman model, and modified Forman model.
Key concepts: Probabilistic logic, Probabilistic relevance model, Statistical model, Random variable, Probabilistic analysis of algorithms, Mathematics, Statistics