Machine learning approach for investigating chloride diffusion coefficient of concrete containing supplementary cementitious materials-Reference-Cited by-同舟云学术

Machine learning approach for investigating chloride diffusion coefficient of concrete containing supplementary cementitious materials

Published:2022-04 Issue: Volume:328 Page:127103
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Quan Tran Van

Publisher

Elsevier BV

Subject

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

Reference69 articles.

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2. Modelisation of chloride reactive transport in concrete including thermodynamic equilibrium, kinetic control and surface complexation;Tran;Cem. Concr. Res.,2018

3. A numerical model including thermodynamic equilibrium, kinetic control and surface complexation in order to explain cation type effect on chloride binding capability of concrete;Tran;Constr. Build. Mater.,2018

4. Performance-based approaches for concrete durability: State of the art and future research needs;Beushausen;Cem. Concr. Res.,2019

5. M. DIERKENS, B. Godart, J. MAI-NHU, P. ROUGEAU, L. LINGER, and F. CUSSIGH, “French national project ‘PERFDUB’ on performance-based approach : interest of old structures analysis for the definition of durability indicators criteria,” in 16th fib Symposium, Concrete Innovations in Materials, Design and Structures, CRACOVIE, Poland, May 2019, p. 8 p. Accessed: Oct. 19, 2021. [Online]. Available: https://hal.archives-ouvertes.fr/hal-02545736.

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