[HTML][HTML] New innovations in pavement materials and engineering: A review on pavement engineering research 2021

JE Office, J Chen, H Dan, Y Ding, Y Gao, M Guo… - Journal of Traffic and …, 2021 - Elsevier
Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …

[HTML][HTML] The state-of-the-art review on applications of intrusive sensing, image processing techniques, and machine learning methods in pavement monitoring and …

Y Hou, Q Li, C Zhang, G Lu, Z Ye, Y Chen, L Wang… - Engineering, 2021 - Elsevier
In modern transportation, pavement is one of the most important civil infrastructures for the
movement of vehicles and pedestrians. Pavement service quality and service life are of …

Recent applications and developments of Polyurethane materials in pavement engineering

X Li, J Li, J Wang, J Yuan, F Jiang, X Yu… - Construction and Building …, 2021 - Elsevier
In the past decades, Polyurethane (PU) as an emerging polymer material has been widely
used to construct, repair, reinforce, and protect civil engineering infrastructures. Meanwhile …

Artificial neural network back-calculation of flexible pavements with sensitivity analysis using Garson's and connection weights algorithms

AR Ghanizadeh, N Heidarabadizadeh… - Innovative Infrastructure …, 2020 - Springer
The primary objective of this research was to develop a model to accurately predict the
modulus of flexible pavement layers from surface deflections measured using the falling …

A viscoelastic wave propagation approach for dynamic backcalculation of layer properties of asphalt pavements under an impact load

G Fu, D Cao, GP Ong, J Wang, D Sha - Computers and Geotechnics, 2024 - Elsevier
An accurate and efficient asphalt pavement analytical model is crucial in back-calculating
reasonable layer properties from falling weight deflectometer data. This study employs the …

[HTML][HTML] A machine learning approach to determine airport asphalt concrete layer moduli using heavy weight deflectometer data

N Baldo, M Miani, F Rondinella, C Celauro - Sustainability, 2021 - mdpi.com
An integrated approach based on machine learning and data augmentation techniques has
been developed in order to predict the stiffness modulus of the asphalt concrete layer of an …

Assessment of asphalt pavement overall performance condition using functional indexes and FWD deflection basin parameters

M **ao, R Luo, X Yu - Construction and Building Materials, 2022 - Elsevier
Highway organizations need an accurate evaluation of the overall condition of the pavement
to make appropriate maintenance decisions. However, existing specifications only consider …

Thermosetting characteristics and performances of polyurethane material on airport thin-overlay

L Xu, X Li, F Jiang, X Yu, J Wang, F **ao - Construction and Building …, 2022 - Elsevier
The slow curing speed of traditional cement materials for airport pavement maintenance
tended to cause unacceptable delays on the daily operations of airport aircraft. It was …

Infrastructure damage assessment via machine learning approaches: a systematic review

M Abedi, J Shayanfar, K Al-Jabri - Asian Journal of Civil Engineering, 2023 - Springer
Monitoring civil infrastructures to detect early damage and extract the data required for urban
management can prevent sudden infrastructure collapse, increase infrastructure …

Development of an artificial neural network (ANN)-based model to predict permanent deformation of base course containing reclaimed asphalt pavement (RAP)

S Ullah, BF Tanyu, B Zainab - Road Materials and Pavement …, 2021 - Taylor & Francis
Pavement demolition debris is one of the world's major waste problems. Each year the
United States produces about 100 million tons of reclaimed asphalt pavement (RAP), out of …