Multi-factor model to predict surface chloride concentration of concrete based on fuzzy logic system-Reference-Cited by-同舟云学术

Multi-factor model to predict surface chloride concentration of concrete based on fuzzy logic system

Published:2022-12 Issue: Volume:17 Page:e01305
ISSN:2214-5095
Container-title:Case Studies in Construction Materials
language:en
Short-container-title:Case Studies in Construction Materials

Author:

Guo Zengwei,Guo Ruiqi,Yao Guowen

Publisher

Elsevier BV

Subject

Materials Science (miscellaneous)

Reference84 articles.

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4. The significance of dispersion of nano-SiO2 on early age hydration of cement pastes;Feng;Mater. Des.,2020

5. Relating the formation factor and chloride binding parameters to the apparent chloride diffusion coefficient of concrete;Azad;J. Mater. Civ. Eng.,2019

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2. Analyzing chloride diffusion for durability predictions of concrete using contemporary machine learning strategies;Materials Today Communications;2024-03

3. Developing a Fuzzy Expert System for Diagnosing Chemical Deterioration in Reinforced Concrete Structures;Applied Sciences;2023-09-16

4. An efficient machine learning approach for predicting concrete chloride resistance using a comprehensive dataset;Scientific Reports;2023-09-12