DNN-metamodeling and fragility estimate of high-rise buildings with outrigger systems subject to seismic loads

• Published in: Reliability engineering & system safety Vol. 253; p. 110572
• Main Authors: Xing, Lili, Gardoni, Paolo, Zhou, Ying, Zhang, Peng
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2025
• Subjects: Deep neural network; Fragility estimate; Kriging metamodel; Outrigger system; Probabilistic demand model; Fragility estimate; Deep neural network; Probabilistic demand model; Kriging metamodel; Outrigger system

This paper proposed deep neural networks (DNNs) for the dynamic response of high-rise buildings with one-outrigger systems under two types of seismic hazards. Using an existing database, the hyperparameters for the architecture of the DNNs are determined finding a trade-off between accuracy and comp...