Results 61 to 70 of about 288 (174)
Predictive modeling of longitudinal cracking in CRCP using PSO-tuned gradient boosting machines
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 +2 more
doaj +1 more source
Geotextile offers numerous benefits in improving pavement performance, including drainage, barrier functionality, filtration, and reinforcement. Wicking geotextile, a novel variant in this category, possesses the intrinsic ability to drain water ...
Yusheng Jiang +3 more
doaj +1 more source
Analysis on Effects of Joint Spacing on the Performance of Jointed Plain Concrete Pavements Based on Long-Term Pavement Performance Database. [PDF]
Wang J, Luo X, Huang X, Ye Y, Ruan S.
europepmc +1 more source
Accurate and reliable modeling of pavement deterioration is critical for effective infrastructure management. This study proposes a probabilistic machine learning framework using Bayesian-optimized Natural Gradient Boosting (BO-NGBoost) to predict the ...
Zhen Liu, Xingyu Gu, Wenxiu Wu
doaj +1 more source
Prognostic Impact of Long-term Postoperative Pneumonia in Elderly Patients with Early Gastric Cancer. [PDF]
Kamiya A +8 more
europepmc +1 more source
For efficient maintenance planning and long-term performance assessment of continuously reinforced concrete pavement (CRCP), an accurate estimate of the International Roughness Index (IRI) is necessary.
Ali Alnaqbi +2 more
doaj +1 more source
Long-term postoperative pneumonia in elderly patients with early gastric cancer. [PDF]
Kamiya A +8 more
europepmc +1 more source
A probabilistic investigation of long-term field performance of warm mix asphalt pavements
Warm-mix asphalt (WMA) has been gaining popularity in sustainable road engineering due to its reduced environmental impacts. However, uncertainties remain regarding its long-term pavement performance compared to hot mix asphalt (HMA).
Yuan Gao +4 more
doaj +1 more source
LTTP Data Analysis: Factors Affecting Pavement Roughness for the State of California
The contributions of pavement structure and features, rehabilitation techniques, climatic conditions, traffic levels, layer materials and properties, pavement distress, and other factors causing changes in pavement smoothness are not well documented.
Pedro Afonso ZAVAGNA +2 more
doaj
Random forest-based frame work for multi-distress prediction in CRCP: a feature importance approach
This study presents a data-driven framework to identify and evaluate key variables contributing to four major distresses in Continuously Reinforced Concrete Pavement (CRCP): longitudinal cracking, spalling, punchouts, and transverse cracking.
Ali Alnaqbi +3 more
doaj +1 more source

