Efficiency of deep neural networks for reinforced concrete shear walls failure mode detection-Reference-Cited by-同舟云学术

Efficiency of deep neural networks for reinforced concrete shear walls failure mode detection

Published:2022-02-23 Issue: Volume: Page:
ISSN:
Container-title:2022 27th International Computer Conference, Computer Society of Iran (CSICC)
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Author:

Barkhordari Mohammad Sadegh¹,Massone Leonardo M.²

Affiliation:

1. Amirkabir University of Technology (Tehran Polytechnic),Department of Civil & Environmental Engineering,Iran

2. University of Chile,Department of Civil Engineering,Santiago,Chile

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9780464/9780394/09780477.pdf?arnumber=9780477

Reference20 articles.

1. Automated structural design of shear wall residential buildings using generative adversarial networks

2. An intelligent method for crack classification in concrete structures based on deep neural networks;bigdeli;Amirkabir Journal of Civil Engineering,2021

3. A machine learning-based formulation for predicting shear capacity of squat flanged RC walls

4. Ranking passive seismic control systems by their effectiveness in reducing responses of highRise buildings with concrete shear walls using multiple-Criteria decision making;barkhordari;International journal of engineering,2020

5. The Effect of Soil around the Basement Walls on the Base Level of Braced Framed Tube System

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