An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil

MNA Raja, SK Shukla, MUA Khan - International Journal of …, 2022 - Taylor & Francis
In the recent times, the use of geosynthetic-reinforced soil (GRS) technology has become
popular for constructing safe and sustainable pavement structures. The strength of the …

Artificial neural networks for flexible pavement

R Bayat, S Talatahari, AH Gandomi, M Habibi… - Information, 2023 - mdpi.com
Transportation agencies are primarily responsible for building new roads and maintaining
current roads. The main focuses of these agencies are to prioritize maintenance and make …

A Machine Learning Architecture Replacing Heavy Instrumented Laboratory Tests: In Application to the Pullout Capacity of Geosynthetic Reinforced Soils

T Ali, W Haider, N Ali, M Aslam - Sensors, 2022 - mdpi.com
For economical and sustainable benefits, conventional retaining walls are being replaced by
geosynthetic reinforced soil (GRS). However, for safety and quality assurance purposes …

The State-of-the-Art Review on Prediction of Subgrade CBR: Past and Present Trends

MA Hasan, BS Praveen, R Bag, B Ramu - Indian Geotechnical Journal, 2024 - Springer
The design thicknesses and subgrade strength of the flexible pavement are largely
dependent on the California bearing ratio (CBR). The laboratory approach to determining …

[PDF][PDF] A Deep-Learning-Based Road Deterioration Notification and Road Condition Monitoring Framework.

Z Boucetta, AE Fazziki, ME Adnani - International Journal of Intelligent …, 2021 - inass.org
Road deteriorations threaten people 'safety as they are considered one of the major causes
of road accidents leading to significant human and material losses. Automatic detection of …

Development of framework for performance prediction of flexible road pavement in Nigeria using Fuzzy logic theory

AT Olowosulu, JM Kaura, AA Murana… - International Journal of …, 2022 - Taylor & Francis
Though several attempts have been made in the past to develop performance prediction
models for flexible road pavement in Nigeria, insufficient dataset remained the major …