A Data-Driven Building’s Seismic Response Estimation Method Using a Deep Convolutional Neural Network

A Data-Driven Building’s Seismic Response Estimation Method Using a Deep Convolutional Neural Network

As a refined finite element model takes much effort to build and tune to simulate the building structure’s response under seismic effects, many rapid estimation methods were proposed to predict the engineering parameters. These methods include simplified structure models, response spectru...

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Bibliographic Details
Main Authors: Jinke Li, Zheng He, Xuefeng Zhao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
seismic response prediction
interstory drift spectrum
deep learning
data-driven
Online Access:https://ieeexplore.ieee.org/document/9377668/

Internet

https://ieeexplore.ieee.org/document/9377668/

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