#7472. Optimal selection of scalar and vector-valued seismic intensity measures based on Gaussian Process Regression

November 2026publication date
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Journal’s subject area:
Civil and Structural Engineering;
Geotechnical Engineering and Engineering Geology;
Soil Science;
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Abstract:
Intensity measure (IM) represents the power of ground motion, and its ability to describe the characteristics of ground motion plays a vital role in seismic risk and damage assessment. Therefore, the selection of optimal IM has always been one of the focuses of researchers in seismic engineering. The performance metrics based on regression or non-parametric methods, including efficiency, sufficiency, proficiency, and practicality, have been widely applied to select the optimal IM in past studies. This paper proposes a new procedure for performance evaluation of IM based on the Gaussian Process Regression (GPR).
Keywords:
Continuous girder bridge; Gaussian process regression; Intensity measure; Seismic fragility analysis; Sequential floating feature selection

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