混凝土中临界氯离子浓度的多因素统计模型  

Multi-factor statistical model of critical chloride concentration in concrete

作　　者：吴力平[1] 夏念飞 袁伟斌[2] WU Liping;XIA Nianfei;YUAN Weibin(Institute of Urban Construction,Hangzhou Polytechnic,Hangzhou 311402,China;College of Civil Engineering,Zhejiang University of Technology,Hangzhou 310023,China)

机构地区：[1]杭州科技职业技术学院城市建设学院,浙江杭州311402 [2]浙江工业大学土木工程学院,浙江杭州310023

出　　处：《新型建筑材料》2020年第12期22-26,共5页New Building Materials

基　　金：浙江省自然科学基金项目(Y19E080059)。

摘　　要：临界氯离子浓度是预测氯盐环境下混凝土结构服役寿命的重要参数。多因素线性方程被认为可提供简单适用且较为准确的临界氯离子浓度模型。根据文献调研方法识别了49篇相关文献共计1140个案例,统计确定了4种不同临界氯离子浓度表达方式。通过多元线性回归分析方法,建立了混凝土临界氯离子浓度的多因素计算模型,并通过预测分析结果验证计算模型的准确性。研究发现,混凝土保护层、钢筋类型和钢筋检测方法在模型中的相对重要性较大,并对其进一步研究与分析。Critical chloride concentration is an important parameter to predict the service life of reinforced concrete structures in chloride environment.Multiple linear regression model is thought to provide a simple and accurate model of critical chloride concentration.In this paper,a comprehensive sample of 1140 case studies was collected from 49 publications,and the critical chloride concentration was classified by four different expressions.The statistical modelling of critical chloride concentration was performed using a multiple linear regression model,and its accuracy was validated by predication results.At last,it was identified that concrete cover depth,type of steel bar and test method of steel bar had significant influences on critical chloride concentration,and their influences were discussed in detail.

关 键 词：混凝土 临界氯离子浓度 多元线性回归 

分 类 号：TU528.01[建筑科学—建筑技术科学]