Machine Learning-Driven Resilient Modulus Prediction for Flexible Pavements Across Mountainous and Other Regions
Accurate estimation of the elastic modulus (Mr) in the com- pacted subgrade soil is essential for the design of flexible pavement systems that are both reliable and environmentally friendly. Mr significantly affects the structural integrity of the pavement, especially in hilly areas with varying loa...
Saved in:
Main Authors: | Rauf Ayesha, Asif Usama, Javed Muhammad Faisal |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2025-01-01
|
Series: | BIO Web of Conferences |
Subjects: | |
Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2025/02/bioconf_mblc2024_04005.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluation of Pavement Structural Number and Resilient Modulus in a Schistose Quartzite/Quartzite Environment using Dynamic Cone Penetration Test Data: Consequence for flexible pavement construction
by: Olumuyiwa Falowo, et al.
Published: (2024-12-01) -
Efficient diagnosis of diabetes mellitus using an improved ensemble method
by: Blessing Oluwatobi Olorunfemi, et al.
Published: (2025-01-01) -
Stabilization of Highway Pavement Base Using Coal Ash, Experience of Georgia: Laboratory Characterization and Field Evaluation
by: Aleks Burduladze, et al.
Published: (2025-01-01) -
Time Effort Prediction Of Agile Software Development Using Machine Learning Techniques
by: Muchamad Bachram Shidiq, et al.
Published: (2023-12-01) -
Comparing Soil pH Mapping from Multi-Temporal PlanetScope and Sentinel-2 Data Across Land Use Types
by: Ziyu Wang, et al.
Published: (2025-01-01)