混凝土电化学沉积修复孔隙率演化及其近似表征
Approximate Characterization of Porosity Evolution in Concrete Repaired by Electrochemical Deposition

DOI: 10.12677/HJCE.2019.87132, PP. 1133-1142

Keywords: 电化学沉积，混凝土修复，孔隙率，Gauss分布，拟合度
Electrochemical Deposition, Concrete Repair, Porosity, Gauss Distribution, Degree of Fit

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Abstract:

电化学沉积修复过程影响因素多，同一批试件的修复效果呈现出波动性特征。本文采用多孔混凝土试件模拟损伤试件开展了电化学沉积修复试验，用测量孔隙率等手段表征其修复效果，分别使用Gauss分布、Extreme分布以及Laplace分布拟合修复过程整体超声波概率演化特征，采用贝叶斯信息准则(BIC准则)与拟合优度可决系数(R2)来评价对应拟合度，结果显示，随着修复过程推进，试件整体孔隙率呈下降趋势，但是，同一批试件，在相同的电化学环境设置下，修复效果(孔隙率演化)呈现随机性特征；拟合度评价显示，对比Extreme分布以及Laplace分布，采用Gauss分布更符合修复过程混凝土孔隙率演化的概率表征。
The process of electrochemical deposition restoration is influenced by many factors and even the restoration effect of the same batch of specimens presents a fluctuating feature. In this paper, the porous concrete specimens were used to simulate the damage specimen during the process of electrochemical deposition. To evaluate the repair effects, the porosity of all the specimens were measured. Gauss distribution, Extreme distribution and Laplace distribution were used to fit the evolution of the porosity and Bayesian Information Criterion (BIC criterion) and goodness of fit determination coefficient (R2) were used to evaluate the corresponding goodness of fit. The results showed that the porosity of the specimens decreased with the progress of the restoration process, but the restoration effect (evolution of the porosity) of the same batch of specimens presented random characteristics under the same electrochemical environment setting. The fitting degree showed that compared with the Extreme distribution and Laplace distribution, the Gauss distribution was more consistent with the probabilistic characterization of the concrete porosity evolution in the repair process.

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