Developing Implementable Climatic Input Data and Moisture Boundary Conditions for Pavement Analysis and Design

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."Tran-SET项目编号18POKS03的对应数据集。以下为最终报告摘要，供参考：“本研究的核心目标是开发一套实用且可落地的数值模型，用于预测路面路基系统内的水分（吸力）分布状态。本研究的主要背景依托两类资源：一是俄克拉荷马州气象网（Oklahoma Mesonet）采集的短距离范围内均匀分布的高质量气候数据，二是基于米切尔（Mitchell）的水分（吸力）预测方法。本研究包含对气候气象数据的数值建模与统计分析工作。所提出的水分变化模型通过求解扩散方程，预测整个土路基内的吸力分布，并结合俄克拉荷马州气象网的实测吸力数据估算扩散系数。本研究最终得到一套实用的预测模型，可用于确定路面结构内的水分边界条件。”