In recent years, the implementation of AI in bridge health management has become increasingly vital for ensuring the safety and longevity of bridge structures. One of the primary advantages of AI in this field is its ability to enhance risk assessment by providing more precise predictions of structural integrity and potential failures. Through sophisticated algorithms and machine learning models, AI can process vast amounts of data from structural monitoring systems, enabling a more thorough […]
Predictive maintenance: Using artificial intelligence for bridge health assessments
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