Seismic Response Meta-model of High-Rise Fame Structure Based on Time-Delay Neural Network



Zhang, He, Bittner, Marius and Beer, Michael ORCID: 0000-0002-0611-0345
(2022) Seismic Response Meta-model of High-Rise Fame Structure Based on Time-Delay Neural Network. KSCE Journal of Civil Engineering, 26 (5). pp. 2273-2294.

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Abstract

To make structural seismic response simulation more efficient, a meta-model method which is based on the time delay neural network is proposed. And an accuracy evaluation method that considers the drift peak amplitudes and maximum amplitudes in each intensity as performance parameters is also proposed, this method can make a balance between accuracy and training time. Exampled by 4 frame structures which are all 20 stories, and accuracy evaluating results show that more than 80% of samples, which include training models and testing models of these performance parameters can be explained by meta models’ fitting. The average time to simulate by this method is 0.08s and faster than the finite element method which spends 24 min averagely.

Item Type: Article
Uncontrolled Keywords: Metamodel, Neural network, Seismic, Frame structure, SRC-RC frame
Divisions: Faculty of Science and Engineering > School of Engineering
Depositing User: Symplectic Admin
Date Deposited: 07 Mar 2022 15:08
Last Modified: 18 Feb 2023 02:30
DOI: 10.1007/s12205-022-0878-7
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3150296