详情

Understanding Air Content Measurement Techniques for Durability Prediction

项目名称：	Understanding Air Content Measurement Techniques for Durability Prediction
摘要：	The proposed research has two primary objectives: 1) to understand the uncertainties associated with the AASHTO TP 118 air void distribution correlation and 2) to reduce these uncertainties through calibration. A correlation experiment is proposed where multiple fresh concrete air characterization techniques including AASHTO TP 118, and ASTM C231 are used on the same concrete samples. Hardened air characterization will also be performed (ASTM C457). An approach similar to the one used by Ley and Tabb (2014) will be used to correlate the SAM measurements with those from KDOT�s C457 measurements for the distribution of air voids. Several concrete mix designs will be generated in such that all mixes are: 1) representative of typical Kansas paving mixes and 2) distributed throughout the parametric space. The mixes selected must all pass KDOT Specifications for on-grade concrete, including strength, permeability, w/c ratio and cement content. The other key parameters for evaluation may include aggregate fraction, aggregate type, slump, supplementary cementitious materials, and admixtures. A fully populated mix design matrix will be developed and then selected mixes will be evaluated from the matrix in coordination with KDOT Project Monitors that efficiently represent the parameters for this study. For all selected mixes, multiple repetitions will be conducted so that uncertainty information can be captured.
状态：	Active
资金：	118,824
资助组织：	Kansas Department of Transportation
项目负责人：	Wadley, Dan
执行机构：	Kansas State University Transportation Center
主要研究人员：	Jones, Christopher A
开始时间：	20180815
预计完成日期：	20200814
实际结束时间：	0