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Engineering Applications of Artificial Intelligence· 2026Q1

Data-driven seismic fragility and risk evaluation of existing reinforced-concrete bridge portfolios under limited data

Gianluca Quinci, Ignazio Casiraro, Marinella Fossetti

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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Field: Civil and Structural Engineering

Civil and Structural EngineeringEngineering