Results 61 to 70 of about 148 (127)

Optimizing Artificial Neural Networks For The Evaluation Of Asphalt Pavement Structural Performance

The Baltic Journal of Road and Bridge Engineering, 2019
Artificial Neural Networks represent useful tools for several engineering issues. Although they were adopted in several pavement-engineering problems for performance evaluation, their application on pavement structural performance evaluation appears to ...
Gaetano Bosurgi, Orazio Pellegrino, Giuseppe Sollazzo   +2 more
doaj   +1 more source

Data-driven modeling of spalling in jointed reinforced concrete pavements using machine learning techniques

Discover Civil Engineering
The serviceability and long-term performance of Jointed Reinforced Concrete Pavements (JRCP) are greatly impacted by transverse joint spalling, a localized and count-based distress.
Ali Alnaqbi, Ghazi Al-Khateeb, Waleed Zeiada   +2 more
doaj   +1 more source

Hybrid machine learning framework for transverse cracking prediction in CRCP with PSO and GBM

Urban Lifeline
Transverse cracking is a major distress mechanism in Continuously Reinforced Concrete Pavement (CRCP), affecting ride smoothness, service life, and maintenance strategies. This research introduces a hybrid predictive framework that couples Particle Swarm
Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada   +2 more
doaj   +1 more source

Predictive modeling of longitudinal cracking in CRCP using PSO-tuned gradient boosting machines

Journal of Engineering and Applied Science
Longitudinal cracking poses a serious threat to the longevity and functionality of continuously reinforced concrete pavement (CRCP). Using structural, traffic, and climatic data taken from the Long-Term Pavement Performance (LTPP) database, this study ...
Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada   +2 more
doaj   +1 more source

Truck platooning reshapes greenhouse gas emissions of the integrated vehicle-road infrastructure system. [PDF]

Nat Commun, 2023
Cheng H, Wang Y, Chong D, Xia C, Sun L, Liu J, Gao K, Yang R, Jin T.   +8 more
europepmc   +1 more source

Evaluating and benchmarking data-driven performance forecasting techniques for infrastructure asset management

Data-Centric Engineering
With the growing amount of historical infrastructure data available to engineers, data-driven techniques have been increasingly employed to forecast infrastructure performance. In addition to algorithm selection, data preprocessing strategies for machine
Ze Zhou Wang, Zhaojie Sun, Abir Al-Tabbaa, Bachar Hakim   +3 more
doaj   +1 more source

A Comparative Study of AI-Based International Roughness Index (IRI) Prediction Models for Jointed Plain Concrete Pavement (JPCP). [PDF]

Materials (Basel), 2022
Wang Q, Zhou M, Sabri MMS, Huang J.
europepmc   +1 more source

Development and application of a field knowledge graph and search engine for pavement engineering. [PDF]

Sci Rep, 2022
Yang Z, Bi Y, Wang L, Cao D, Li R, Li Q.
europepmc   +1 more source

Enhancing road safety: developing a neural network-based model for predicting skid resistance in asphalt pavements using LTPP data

Discover Civil Engineering
This study focuses on the critical aspect of skid resistance in asphalt pavements, an essential factor for ensuring road safety. Several factors, including pavement texture, aggregate properties, and environmental conditions, influence skid resistance ...
Tanvir Ahmed, Mayzan Isied, Mena Souliman   +2 more
doaj   +1 more source

An Interpretable Pretrained Tabular Modeling Framework for Predicting IRI Across Multiple Pavement Structural Configurations

Buildings
With increasing traffic loads and increasingly complex climate conditions, accurate prediction of the International Roughness Index (IRI) of asphalt pavements is crucial for developing effective maintenance plans.
Liang Qin, Tong Liu, Qianhui Sun, Mingxin Tang   +3 more
doaj   +1 more source