Multitarget regression models for predicting compressive strength and chloride resistance of concrete-Reference-Cited by-同舟云学术

Multitarget regression models for predicting compressive strength and chloride resistance of concrete

Published:2023-08 Issue: Volume:72 Page:106523
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Taffese Woubishet Zewdu^ORCID,Espinosa-Leal Leonardo^ORCID

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference60 articles.

1. Resistance of Concrete to Chloride Ingress: Testing and Modelling;Luping,2012

2. Statistical treatments of chloride threshold and corrosion propagation rate;Andrade;Corrosion. Mater. Degrad.,2022

3. Corrosion Control for Offshore Structures: Cathodic Protection and High Efficiency Coating;Singh,2015

4. Autonomous corrosion assessment of reinforced concrete structures: feasibility study;Taffese;Sensors (Switzerland),2020

5. Influence of metakaolin on fresh properties, mechanical properties and corrosion resistance of concrete and its sustainability issues: a review;Homayoonmehr;J. Build. Eng.,2021

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Explainable AI based slip prediction of steel-UHPC interface connected by shear studs;Expert Systems with Applications;2025-01

2. Concrete aging factor prediction using machine learning;Materials Today Communications;2024-08

3. Estimation of high-resolution surface soil moisture through GIS-based frequency ratio modeling;2024-07-23

4. Accurate Prediction of Punching Shear Strength of Steel Fiber-Reinforced Concrete Slabs: A Machine Learning Approach with Data Augmentation and Explainability;Buildings;2024-04-25

5. Unveiling non-steady chloride migration insights through explainable machine learning;Journal of Building Engineering;2024-04