Machine learning tools to improve nonlinear modeling parameters of RC columns-Reference-Cited by-同舟云学术

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Machine learning tools to improve nonlinear modeling parameters of RC columns

Published:2024-05 Issue: Volume:84 Page:108492
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Koodiani Hamid Khodadadi,Jafari Elahe^ORCID,Majlesi Arsalan,Shahin Mohammad,Matamoros Adolfo^ORCID,Alaeddini Adel

Publisher

Elsevier BV

Reference38 articles.

1. Seismic Evaluation and Retrofit of Existing Buildings,2017

2. Standard Requirements for Seismic Evaluation and Retrofit of Existing Concrete Buildings,2017

3. Seismic Rehabilitation of Existing Buildings,2007

4. Drift-dependent Confinement Requirements for Reinforced Concrete Columns under Cyclic Loading;Brachmann,2004

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3. Improving operations through a lean AI paradigm: a view to an AI-aided lean manufacturing via versatile convolutional neural network;The International Journal of Advanced Manufacturing Technology;2024-07-02

4. Estimating the axial strain of circular short columns confined with CFRP under centric compressive static load using ANN and GRA techniques;Heliyon;2024-07

5. Improving the Concrete Crack Detection Process via a Hybrid Visual Transformer Algorithm;Sensors;2024-05-20

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