An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil
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 …
popular for constructing safe and sustainable pavement structures. The strength of the …
Artificial neural networks for flexible pavement
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 …
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
For economical and sustainable benefits, conventional retaining walls are being replaced by
geosynthetic reinforced soil (GRS). However, for safety and quality assurance purposes …
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
The design thicknesses and subgrade strength of the flexible pavement are largely
dependent on the California bearing ratio (CBR). The laboratory approach to determining …
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 …
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
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 …
models for flexible road pavement in Nigeria, insufficient dataset remained the major …