Use of data mining techniques to explain the primary factors influencing water sensitivity of asphalt mixtures-Reference-Cited by-同舟云学术

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Use of data mining techniques to explain the primary factors influencing water sensitivity of asphalt mixtures

Published:2022-08 Issue: Volume:342 Page:128039
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Rebelo Francisco J.P.,Martins Francisco F.,M.R.D. Silva Hugo,Oliveira Joel R.M.

Publisher

Elsevier BV

Subject

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

Reference115 articles.

1. Asphalt Paving: Basic Training for Engineers (in Portuguese);Bernucci,2008

2. Study of the water sensitivity of asphalt mixtures (in Portuguese) [Master Thesis];Pereira,2009

3. Effect of asphalt film thickness on the moisture sensitivity characteristics of hot-mix asphalt;Sengoz;Building and Environment.,2007

4. Stripping of asphalt pavements: State of the art;Taylor;Transportation Research Record.,1983

5. From data mining to knowledge discovery: an overview;Fayyad,1996

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1. Data-Mining Framework Integrating 3D Random Aggregate Method and Finite-Element Method for Mesoscopic Simulation of Asphalt Concrete;Journal of Transportation Engineering, Part B: Pavements;2024-09

2. Machine learning models to predict mechanical performance properties of modified bituminous mixes: a comprehensive review;Asian Journal of Civil Engineering;2024-07-29

3. Modelling of the Luminance Coefficient in the Light Scattered by a Mineral Mixture Using Machine Learning Techniques;Applied Sciences;2024-06-24

4. Intelligent Prediction of Asphalt Concrete Air Voids during Service Life Using Cubist and GBRT-Ensemble Learning Approaches Hybridized with an Equilibrium Optimizer Algorithm;Journal of Materials in Civil Engineering;2024-05

5. Review of Subgrade Soil Stabilised with Natural and Synthetic Fibres;IOP Conference Series: Earth and Environmental Science;2024-01-01

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