Machine learning methods in assessing the effect of mixture composition on the physical and mechanical characteristics of road concrete
Author:
Publisher
Elsevier BV
Subject
Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering
Reference17 articles.
1. Shanmugasundaram: utilizing and optimizing waste resources in paver block;Janaki Raman;Lecture Notes in Civil Engineering,2021
2. Influence of operating media on the parameters of cement concrete intended for airfield pavements;Linek;J. Konbin,2020
3. Impact of freeze-thaw environment on concrete materials in two-lift concrete pavement;Zhou;Construct. Build. Mater.,2020
4. Fatigue behaviour of reclaimed pavement materials treated with cementitious binders;Melese;Construct. Build. Mater.,2020
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1. Prediction and optimization model of sustainable concrete properties using machine learning, deep learning and swarm intelligence: A review;Journal of Building Engineering;2023-12
2. Lithium-Ion Battery State-of-Health Prediction for New-Energy Electric Vehicles Based on Random Forest Improved Model;Applied Sciences;2023-10-17
3. Computational Complexity and Its Influence on Predictive Capabilities of Machine Learning Models for Concrete Mix Design;Materials;2023-08-30
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