Novel approaches to predict the Marshall parameters of basalt fiber asphalt concrete
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 …
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
The traditional method to obtain optimum bitumen content and the relevant parameters of
asphalt pavements entails time-consuming, complicated and expensive laboratory …
asphalt pavements entails time-consuming, complicated and expensive laboratory …
Real-time measurement on dynamic temperature variation of asphalt pavement using machine learning
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 …
damage. The premise of ensuring desired properties of the asphalt mixture is to propose a …
XGBoost-SHAP framework for asphalt pavement condition evaluation
This study addresses the challenge of enhancing pavement condition assessment
methodologies by proposing a universal XGBoost-SHAP framework. Leveraging diverse …
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 …
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
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 …
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 …
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
Marshall stability (MS) is used to evaluate the resistance to settlement, deformation and
displacement of asphalt concrete. However, these experiments are complex, expensive 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
The temperature profile significantly influences the structural performance of asphalt
pavement since it influences various mechanical parameters such as stiffness, strength, and …
pavement since it influences various mechanical parameters such as stiffness, strength, and …
A data-driven recipe simulation for synthetic rubber production
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 …
that it satisfies the required quality standards. Several experiments are required to create the …