[HTML][HTML] Novel ensemble modelling for prediction of fundamental properties of bitumen incorporating plastic waste
Plastic asphalt mixtures (PAMs) have garnered attention recently, but their field application
has been limited due to a lack of understanding of asphalt mix behavior following …
has been limited due to a lack of understanding of asphalt mix behavior following …
Machine learning models to predict mechanical performance properties of modified bituminous mixes: A comprehensive review
S Jalota, M Suthar - Asian Journal of Civil Engineering, 2024 - Springer
The incorporation of various modifiers such as rubber, plastic, fibers, and anti-stripping
agents has demonstrated favourable effects on the mechanical properties of bituminous …
agents has demonstrated favourable effects on the mechanical properties of bituminous …
Computational prediction of workability and mechanical properties of bentonite plastic concrete using multi-expression programming
Bentonite plastic concrete (BPC) demonstrated promising potential for remedial cut-off wall
construction to mitigate dam seepage, as it fulfills essential criteria for strength, stiffness, and …
construction to mitigate dam seepage, as it fulfills essential criteria for strength, stiffness, and …
[HTML][HTML] Advancing basalt fiber asphalt concrete design: A novel approach using gradient boosting and metaheuristic algorithms
Abstract Basalt Fiber Asphalt Concrete (BFAC) is an environmentally friendly and durable
material with potential road, bridge, and infrastructure construction applications. This study …
material with potential road, bridge, and infrastructure construction applications. This study …
Predictive modeling of Atterberg's limits of soil passing through sieve# 40 and# 200 using artificial neural networks and multivariate regression: advancing sustainable …
This study developed artificial intelligence models to predict Atterberg's limits, specifically
the liquid (LL) and plastic limits (PL), based on# 200 sieve analysis, which is a laborious and …
the liquid (LL) and plastic limits (PL), based on# 200 sieve analysis, which is a laborious and …
[HTML][HTML] Modelling of Marshall stability of polypropylene fibre reinforced asphalt concrete using support vector machine and artificial neural network
S Jalota, M Suthar - International Journal of Transportation Science and …, 2024 - Elsevier
The present study assesses the proficiency of support vector machine (SVM) models
utilizing four kernel functions namely normalized polynomial kernel function (SVM …
utilizing four kernel functions namely normalized polynomial kernel function (SVM …
Utilising machine learning algorithms to predict the Marshall characteristics of asphalt pavement layers
Conventional methods for assessing the Marshall characteristics of asphalt pavements are
labour-intensive, expensive, and time-consuming because they require manual handling of …
labour-intensive, expensive, and time-consuming because they require manual handling of …
A Deep Neural Network Approach towards Performance Prediction of Bituminous Mixtures Produced Using Secondary Raw Materials
With the progressive reduction in virgin material availability and the growing global concern
for sustainability, civil engineering researchers worldwide are shifting their attention toward …
for sustainability, civil engineering researchers worldwide are shifting their attention toward …
Automating the repair of potholes using machine techniques and digitally crafted asphalt cartridges
FKA Awuah, A Garcia-Hernandez, N Thom - Construction Robotics, 2024 - Springer
Potholes are a major problem on road networks as they reduce driving safety and pavement
structural integrity. Current repair methods through filling are labour-intensive and unsafe to …
structural integrity. Current repair methods through filling are labour-intensive and unsafe to …
Prediction and modelling marshall stability of modified reclaimed asphalt pavement with rejuvenators using latest machine learning techniques
MF Ayazi, M Singh, R Kumar - Engineering Research Express, 2024 - iopscience.iop.org
The primary problem with the experimental evaluation of Marshall stability (MS) of reclaimed
asphalt pavement (RAP) is the inherent complexity and variability involved in the process …
asphalt pavement (RAP) is the inherent complexity and variability involved in the process …