Materials Science

概率疲劳寿命预测

Probabilistic fatigue life prediction

A methodology for estimating the remaining useful life of materials subject to cyclic loading, incorporating statistical distributions to account for variability and uncertainty. / 一种用于估计承受循环载荷的材料剩余使用寿命的方法，引入统计分布以考虑变异性和不确定性。

Knowledge type: 实际应用
First proposed or discovered
Proposer: Turkey Farm member
Creator: 农场主
Last updated: 2026-11-14 16:06:45

Sub-knowledge points

Uncertainty quantification / 自然理论Interpretable physics-informed Bayesian neural network

Higher-order knowledge points

Fatigue analysisBayesian inferenceNeural network modeling

Main parameters and performance indicators

Material: 2024 Aluminum alloyDefect type: Impact flawsMethod: Interpretable physics-informed Bayesian neural network

Open problems

No unresolved problem recorded yet

Related literature

ranked by community stars

Probabilistic fatigue life prediction and uncertainty quantification of 2024 Aluminum alloy with impact flaws based on interpretable physics-informed Bayesian neural networkOpen source

概率疲劳寿命预测

Sub-knowledge points

Higher-order knowledge points

Main parameters and performance indicators

Open problems

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