Engineering Applications of Artificial Intelligence· 2026Q1
Data-driven seismic fragility and risk evaluation of existing reinforced-concrete bridge portfolios under limited data
- 0citations
- Q1SCImago
- 2026year
Short summary
Gaussian Process Regression accurately predicts seismic fragility parameters (median intensity measure, logarithmic dispersion, ultimate displacement capacity) for reinforced-concrete bridges using routine inventory data, achieving R 2 >0.9.
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Civil and Structural EngineeringEngineering