[HTML][HTML] Current situations, advantages/disadvantages and future developments of resilient deformation characterizations of unbound granular material: A state-of-the …

S Li, P Hao - Journal of Traffic and Transportation Engineering …, 2023 - Elsevier
A state-of-the-art review was delivered in the manuscript to analyze the current situations
and the advantages/disadvantages of resilient deformation related issues to the unbound …

Examining the relationship between two road performance indicators: Pavement condition index and international roughness index

SM Piryonesi, TE El-Diraby - Transportation Geotechnics, 2021 - Elsevier
Two of the most popular pavement performance indicators are the International Roughness
Index (IRI) and the Pavement Condition Index (PCI). The Long-Term Pavement Performance …

Data-driven multi-objective optimization of road maintenance using XGBoost and NSGA-II

J Li, S Zhang, X Wang - Automation in Construction, 2024 - Elsevier
Road maintenance is crucial for road comfort. Inappropriate maintenance construction works
may cause waste in budget and extra greenhouse gas emissions. Previous studies …

[HTML][HTML] Modeling of long-term train loads impacts on subgrade soils: a review

V Yavna, V Shapovalov, M Okost, A Morozov… - International Journal of …, 2023 - Elsevier
Subgrade is an important construction element of the railroad track. In the process of long-
term operation, the subgrade is loaded by trains and exposed to natural climatic factors …

Pavement aggregate shape classification based on extreme gradient boosting

L Pei, Z Sun, T Yu, W Li, X Hao, Y Hu, C Yang - Construction and Building …, 2020 - Elsevier
Aggregate plays the role of skeleton filling in asphalt pavements. The shape of the
aggregate affects the embedded structure between the aggregates, thus affecting the …

Mechanistic sieve-size classification of aggregate gradation by characterizing load-carrying capacity of inner structures

Y Zhang, T Ma, M Ling, X Huang - Journal of Engineering …, 2019 - ascelibrary.org
To choose the maximum dividing sieve sizes for multiscale analysis, a mechanistic
classification principle of sieve sizes is developed to characterize the size ranges of four …

Use of an artificial neural network approach for the prediction of resilient modulus for unbound granular material

S Saha, F Gu, X Luo, RL Lytton - Transportation Research …, 2018 - journals.sagepub.com
The resilient modulus (MR) is a fundamental material property that has a direct effect on the
design and analysis of pavement structures. Many regression models have been developed …

Modeling resilient modulus of fine-grained materials using different statistical techniques

MA Khasawneh, NF Al-jamal - Transportation Geotechnics, 2019 - Elsevier
For the realistic prediction of pavement performance, it is very important to accurately
characterize the mechanical behavior of unbound material layers and subgrade soils. In …

A geomechanics classification for the rating of railroad subgrade performance

A Gomes Correia, A Ramos - Railway Engineering Science, 2022 - Springer
The type of subgrade of a railroad foundation is vital to the overall performance of the track
structure. With the train speed and tonnage increase, as well as environmental changes, the …

[HTML][HTML] Geospatial learning for large-scale transport infrastructure depth prediction

P Zhang, W Yi, Y Song, G Thomson, P Wu… - International journal of …, 2024 - Elsevier
Transportation infrastructure supports the smooth mobility of humans, commodities, and
services. Pavement depth measures the quality of road infrastructure through representing …