Document Type
Data Set
Publication Date
8-1-2019
Abstract
Corresponding data set for Tran-SET Project No. 18POKS03. Abstract of the final report is stated below for reference:
"The main objective of this study is to develop a practical and implementable numerical model for predicting the moisture (suction) regime within the pavement subgrade system. The research quality and uniformly-dispersed climate data over short distances from Oklahoma Mesonet and the Mitchell based moisture (suction) prediction methods establish the main background of the research study. The study involved numerical modeling and statistical analysis of climatic weather data. The proposed moisture variation model predicts the suction distribution throughout the soil subgrade by solving the diffusion equation and incorporates the measured suction from the Oklahoma Mesonet to estimate the diffusion coefficient. The research study resulted in a practical prediction model that could be used to determine the moisture boundary conditions within the pavement structure."
Recommended Citation
Bulut, R., & Javid, A. H. (2019). Developing Implementable Climatic Input Data and Moisture Boundary Conditions for Pavement Analysis and Design. Retrieved from https://repository.lsu.edu/transet_data/60
Included in
Civil Engineering Commons, Other Civil and Environmental Engineering Commons, Transportation Engineering Commons
Comments
Tran-SET Project No. 18POKS03