Neuro-hybrid simulation of non-linear frames using Prandtl neural networks-Reference-Cited by-同舟云学术

Neuro-hybrid simulation of non-linear frames using Prandtl neural networks

Published:2021-01-04 Issue: Volume: Page:1-18
ISSN:0965-0911
Container-title:Proceedings of the Institution of Civil Engineers - Structures and Buildings
language:en
Short-container-title:Proceedings of the Institution of Civil Engineers - Structures and Buildings

Author:

Sharghi Amir Hossein¹,Karami Mohammadi Reza²,Farrokh Mojtaba³

Affiliation:

1. PhD candidate, Hybrid Simulation Laboratory, Faculty of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran

2. Associate Professor, Hybrid Simulation Laboratory, Faculty of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran (corresponding author: )

3. Assistant Professor, Advanced Structures Research Laboratory, Faculty of Aerospace Engineering, K. N. Toosi University of Technology, Tehran, Iran

Publisher

Thomas Telford Ltd.

Subject

Building and Construction,Civil and Structural Engineering

Link

https://www.icevirtuallibrary.com/doi/pdf/10.1680/jstbu.19.00044

Reference39 articles.

1. Ahmadizadeh M (2007) Real-time Seismic Hybrid Simulation Procedures for Reliable Structural Performance Testing. PhD thesis, State University of New York at Buffalo, Buffalo, NY, USA.

2. Online energy-based error indicator for the assessment of numerical and experimental errors in a hybrid simulation

3. Bakhaty AA, Govindjee S and Mosalam K (2014) Theoretical Development of Hybrid Simulation Applied to Plate Structures. Pacific Earthquake Engineering Research Center, Berkeley, CA, USA, Report No. UCB-PEER-2014-02.

4. The development of real–time substructure testing

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