Novel approaches to predict the Marshall parameters of basalt fiber asphalt concrete

BN Phung, TH Le, TA Nguyen, HGT Hoang… - Construction and Building …, 2023 - Elsevier
Experimental approach for evaluating the Marshall Stability (MS) and Marshall Flow (MF) of
basalt fiber asphalt concrete (BFAC) is time-consuming and expensive. This study employed …

[HTML][HTML] Predicting marshall flow and marshall stability of asphalt pavements using multi expression programming

HH Awan, A Hussain, MF Javed, Y Qiu, R Alrowais… - Buildings, 2022 - mdpi.com
The traditional method to obtain optimum bitumen content and the relevant parameters of
asphalt pavements entails time-consuming, complicated and expensive laboratory …

Real-time measurement on dynamic temperature variation of asphalt pavement using machine learning

X Wang, P Pan, J Li - Measurement, 2023 - Elsevier
Temperature segregation of asphalt mixture is one of the major reasons for pavement
damage. The premise of ensuring desired properties of the asphalt mixture is to propose a …

XGBoost-SHAP framework for asphalt pavement condition evaluation

A Gupta, S Gowda, A Tiwari, AK Gupta - Construction and Building …, 2024 - Elsevier
This study addresses the challenge of enhancing pavement condition assessment
methodologies by proposing a universal XGBoost-SHAP framework. Leveraging diverse …

[HTML][HTML] Pavement temperature forecasts based on model output statistics: Experiments for highways in Jiangsu, China

S Zhu, Y Lyu, H Wang, L Zhou, C Zhu, F Dong, Y Fan… - Remote Sensing, 2023 - mdpi.com
Forecasts on transportation meteorology, such as pavement temperature, are becoming
increasingly important in the face of global warming and frequent disruptions from extreme …

[HTML][HTML] System framework for digital monitoring of the construction of asphalt concrete pavement based on IoT, BeiDou navigation system, and 5G technology

J Zhang, Z Zhu, H Liu, J Zuo, Y Ke, SP Philbin, Z Zhou… - Buildings, 2023 - mdpi.com
In the construction of asphalt pavement, poor quality is often the main reason for damage to
the pavement, which necessitates the use of monitoring systems during the construction …

Enhancing Winter Maintenance Decision Making through Deep Learning-Based Road Surface Temperature Estimation

P Darghiasi, M Zamanian… - … Research Congress 2024, 2024 - ascelibrary.org
State and local highway agencies spend substantial budgets repairing infrastructure
damages caused by snow and ice every winter season. These infrastructure damages can …

Practical numerical tool for marshall stability prediction based on machine learning: an application for asphalt concrete containing basalt fiber

BN Phung, TH Le, MK Nguyen, TA Nguyen… - Journal of Science and …, 2023 - jstt.vn
Marshall stability (MS) is used to evaluate the resistance to settlement, deformation and
displacement of asphalt concrete. However, these experiments are complex, expensive and …

[HTML][HTML] Utilizing artificial neural networks to predict the asphalt pavement profile temperature in western Europe

T Ghalandari, L Shi, F Sadeghi-Khanegah… - Case Studies in …, 2023 - Elsevier
The temperature profile significantly influences the structural performance of asphalt
pavement since it influences various mechanical parameters such as stiffness, strength, and …

A data-driven recipe simulation for synthetic rubber production

K Park, H Park, H Bae - IEEE Access, 2022 - ieeexplore.ieee.org
To manufacture synthetic rubber, rubber manufacturers require optimal recipes to ensure
that it satisfies the required quality standards. Several experiments are required to create the …