Call for Papers
Special Issue: Machine Learning-Assisted Structural Integrity Assessment and Design Optimization under Uncertainty
📝 We invite researchers and practitioners to contribute their latest findings and insights to our upcoming special issue focusing on Machine Learning-Assisted Structural Integrity Assessment and Design Optimization under Uncertainty.
📚 Topics of interest include but are not limited to:
- Structural integrity
- Structural reliability
- Failure mechanisms
- Prognostics and health management
- Probabilistic Physics of Failure
- Reliability-based design
- Durability and damage tolerance
- Uncertainty quantification and propagation
- Performance degradation modeling and analysis
- Deep learning models
- Regression models
- Artificial intelligence
- Fatigue life prediction
- Hydrogen embrittlement
- Remaining useful life prediction and fault diagnosis
Submission Deadline: 01 February 2025
🔗 Link: https://www.techscience.com/CMES/special_detail/structural-integrity
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