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Reliability Analysis Using Adaptive Physics-Informed Neural Network with Cross-entropy Optimization
DOI:10.1016/j.apm.2025.116627.png)
Abstract
En 中文
• A framework to improve efficiency of failure probability estimation is proposed. • Cross-entropy sampling is introduced to better capture complex limit state surfaces. • New convergence criteria are introduced to prevent overfitting and reduce iterations. • It is verified superior to traditional methods in terms of accuracy and efficiency.
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1.1K
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