Results 51 to 60 of about 148 (127)

Predicting Friction Number in CRCP Using GA-Optimized Gradient Boosting Machines

Construction Materials
Road safety and maintenance strategy optimization depend on accurate pavement surface friction prediction. In order to predict the Friction Number for Continuously Reinforced Concrete Pavement (CRCP) sections using data taken from the Long-Term Pavement ...
Ali Juma Alnaqbi, Waleed Zeiada, Ghazi G. Al-Khateeb   +2 more
doaj   +1 more source

Data-Driven Prediction of Punchout Occurrence in CRCP Using an Optimized Gradient Boosting Model

Modelling
Punchouts distress represents a major structural deficiency in Continuously Reinforced Concrete Pavements (CRCPs), contributing to premature deterioration, reduced ride quality, and increased maintenance demands.
Ali Juma Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada   +2 more
doaj   +1 more source

Neural Network Approach for Fatigue Crack Prediction in Asphalt Pavements Using Falling Weight Deflectometer Data

Applied Sciences
Fatigue cracking is a major issue in asphalt pavements, reducing their lifespan and increasing maintenance costs. This study develops an artificial neural network (ANN) model to predict the onset and progression of fatigue cracking.
Bishal Karki, Sayla Prova, Mayzan Isied, Mena Souliman   +3 more
doaj   +1 more source

A probabilistic approach for modelling deterioration of asphalt surfaces

Journal of the South African Institution of Civil Engineers, 2012
This paper details findings from the New Zealand Transport Agency's research project by Henning and Roux (2008). It forms part of the overall New Zealand Long-term Pavement Performance (LTPP) programme.
T F P Henning, D C Roux
doaj  

LSTM+MA: A Time-Series Model for Predicting Pavement IRI

Infrastructures
The accurate prediction of pavement performance is essential for transportation administration or management to appropriately allocate resources road maintenance and upkeep.
Tianjie Zhang, Alex Smith, Huachun Zhai, Yang Lu   +3 more
doaj   +1 more source

Machine learning modeling of transverse cracking in flexible pavement

Discover Civil Engineering
Transverse cracking in flexible pavements poses significant challenges to road infrastructure, impacting durability and increasing maintenance costs. This study addresses the lack of predictive models specifically for transverse cracking by employing ...
Waleed Zeiada, Ali Juma Alnaqbi, Ghazi G. Al-Khateeb, Muamer Abuzwidah   +3 more
doaj   +1 more source

Deterioration Models for Flexible Pavements in the Pacific Northwest Using the Long-Term Pavement Performance (LTPP) Database

Prediction of pavement performance deterioration is crucial for effective transportation infrastructure management and maintenance planning. This study focuses on developing deterioration models for flexible pavements in the Pacific Northwest, leveraging the extensive data available in the InfoPave Long-Term Pavement Performance (LTPP) tool ...
openaire   +1 more source

Novel Instance-Based Transfer Learning for Asphalt Pavement Performance Prediction

Buildings
The deep learning method has been widely used in the engineering field. The availability of the training dataset is one of the most important limitations of the deep learning method.
Jiale Li, Jiayin Guo, Bo Li, Lingxin Meng   +3 more
doaj   +1 more source

Impact of Pavement Surface Roughness on TSD Backcalculation Outputs and Potential Mitigation Strategies

Infrastructures
Deflection slopes measured by the traffic speed deflectometer (TSD) are being used to backcalculate the moduli of pavement layers. Pavement surface roughness causes variations in tyre load magnitude due to excitation, which affects TSD measurements.
Nariman Kazemi, Mofreh Saleh, Chin-Long Lee   +2 more
doaj   +1 more source

Advanced prediction of spalling in rigid pavements using GBM and GA optimization

Discover Cities
Spalling of the longitudinal joints of Continuously Reinforced Concrete Pavement can be vital to successful pavement management and efficient maintenance cost planning.
Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada   +2 more
doaj   +1 more source