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An approach to reconstructing full‐profile seismic response demands across multiple tall buildings, using kernel‐based machine learning methods, is introduced. Nonlinear response history analyses are used to generate a dataset of peak floor accelerations and peak story drift ratios for a portfolio of tall buildings, using spatially explicit ground motions from the Northridge earthquake. Structural...
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