A Machine Learning Approach to Understand the Impact of Temperature and Rainfall Change on Concrete Pavement Performance Based on LTPP Data
Last updated: 28 Dec 2024
10.21608/svusrc.2023.250899.1164
Temperature, Rainfall, Concrete Pavement, ARIMA, Climate Change
Debo Brata Paul
Argha
Ingram School of Engineering, Texas State University, San Marcos, Texas, 78666, USA
arghapaul7148@gmail.com
San Marcos
0000-0001-7645-770X
Md Ashik
Ahmed
Department of Nanoengineering, North Carolina Agricultural and Technical State University, Greensboro, NC 27405, USA
mahmed1@aggies.ncat.edu
0000-0001-6023-1028
5
1
43456
2024-06-01
2023-11-24
2024-06-01
150
155
2785-9967
2735-4571
https://svusrc.journals.ekb.eg/article_333604.html
https://svusrc.journals.ekb.eg/service?article_code=333604
333,604
Original research articles
1,585
Journal
SVU-International Journal of Engineering Sciences and Applications
https://svusrc.journals.ekb.eg/
A Machine Learning Approach to Understand the Impact of Temperature and Rainfall Change on Concrete Pavement Performance Based on LTPP Data
Details
Type
Article
Created At
28 Dec 2024