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Predictive structural assessment with Bayesian deep learning
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DOI：10.1016/j.aei.2025.103721.png)
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Abstract
En 中文
• Machine learning model for rapid structural pre-assessment with uncertainty estimates. • Parametric pipeline enables refined analysis of frame bridges and data generation. • Real-life case study on a railway underpass demonstrates practical applicability. • Scalable approach supports assessment prioritisation within infrastructure portfolios.
Keywords:
Structural assessment
Artificial intelligence
Bridges
Reinforced concrete
Bayesian Neural Networks
Non-linear finite element method
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