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Clustering-based adaptive ground motion selection algorithm for efficient estimation of structural fragilities

Engineering and Technology

Clustering-based adaptive ground motion selection algorithm for efficient estimation of structural fragilities

T. Kim, O. Kwon, et al.

Experience a breakthrough in earthquake engineering with a clustering-based algorithm that efficiently selects representative ground motions to predict seismic demands. This innovative research by Taeyong Kim, Oh-Sung Kwon, and Junho Song showcases a method that enhances accuracy while reducing the number of ground motions needed for robust structural fragility assessments.

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Playback language: English
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Citations
27
Influential Citations
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59
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Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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