Artificial neural networks for the prediction of shear capacity of steel plate strengthened RC beams-Reference-Cited by-同舟云学术

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Artificial neural networks for the prediction of shear capacity of steel plate strengthened RC beams

Published:2004-07 Issue:6 Volume:18 Page:409-417
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Adhikary Bimal B,Mutsuyoshi Hiroshi

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference17 articles.

1. Structural behavior of reinforced concrete beams strengthened by epoxy-bonded steel plates;Swamy;Struct Eng,1987

2. Reinforced concrete beams with plates glued to their soffits;Oehlers;J Struct Eng, ASCE,1992

3. Upgrading continuous reinforced concrete beams by gluing steel plates to their tension faces;Oehlers;J Struct Eng, ASCE,1998

4. Strengthening of shear damaged RC beams by external plate bonding of steel plates;Sharif;Mag Concr Res,1995

5. Contribution of externally bonded steel plate reinforcement to the shear resistance of reinforced concrete beams;Swamy;Am Concr Inst,1996

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1. Data-Driven Shear Strength Prediction of Rc Beams Strengthened with Frcm Jackets Using Machine Learning Approach;2024

2. Transfer learning based bridge damage detection: Leveraging time-frequency features;Structures;2023-11

3. Artificial neural network modeling to predict the flexural behavior of RC beams retrofitted with CFRP modified with carbon nanotubes;COMPUT CONCRETE;2022

4. Machine learning in concrete science: applications, challenges, and best practices;npj Computational Materials;2022-06-06

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