Durability of concrete is a key design parameter and is strongly related to the penetrability of the cementitious binder matrix. This research evaluated methods to estimate the durability of concrete in service, using different procedures to characterize the penetrability of concrete, mortar, and paste. Mercury intrusion porosimetry (MIP) was compared to several standardized testing methods (surface resistivity, bulk resistivity, and bulk diffusion) on specimens made from cementitious paste, mixed mortar, sieved mortar, and concrete. MIP measurements were compared to results from standardized methods, with the goal of developing useful correlations. Gaussian process regression (GPR) modeling was applied to predict the electrical resistivity of concrete using MIP measurements obtained from mortar specimens, in combination with chemical oxide compositions of the mortar components. The resulting GPR model was compared to the Katz-Thompson method for correlating MIP data to electrical resistivity measurements. In this study, GPR modeling offered an improvement over the Katz-Thompson method and was able to predict concrete surface resistivity using porosity data obtained from mortar, providing a potentially useful tool for rapid durability screening of supplementary cementitious materials.

混凝土的耐久性是关键的设计参数，并且与水泥基料的渗透性密切相关。这项研究评估了使用不同程序来表征混凝土，砂浆和浆糊渗透性的方法，以评估使用中混凝土的耐久性。将水银压入孔隙率法（MIP）与几种标准测试方法（表面电阻率，体积电阻率和体积扩散）进行了比较，该方法由水泥浆，混合砂浆，筛分砂浆和混凝土制成。MIP测量值与标准化方法的结果进行了比较，目的是开发有用的相关性。使用高斯过程回归（GPR）建模来预测混凝土的电阻率，该方法使用的是从砂浆样本获得的MIP测量值，与砂浆组分的化学氧化物成分结合使用。将所得的GPR模型与Katz-Thompson方法进行了比较，以将MIP数据与电阻率测量结果相关联。在这项研究中，GPR建模提供了一种对Katz-Thompson方法的改进，并且能够使用从砂浆获得的孔隙率数据预测混凝土的表面电阻率，从而为快速筛查补充胶凝材料提供了潜在的有用工具。