Article(id=1223193060939518185, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223193053830169317, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20220342, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1645718400000, receivedDateStr=2022-02-25, revisedDate=1648224000000, revisedDateStr=2022-03-26, acceptedDate=null, acceptedDateStr=null, onlineDate=1769561551556, onlineDateStr=2026-01-28, pubDate=1674576000000, pubDateStr=2023-01-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769561551556, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769561551556, creator=13701087609, updateTime=1769561551556, updator=13701087609, issue=Issue{id=1223193053830169317, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='1', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769561549861, creator=13701087609, updateTime=1769567790701, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223219229885857794, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223193053830169317, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223219229885857795, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223193053830169317, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=133, endPage=136, ext={EN=ArticleExt(id=1223193061304422653, articleId=1223193060939518185, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Experimental Study on Mechanical Properties and Pore Structure Fractal Characteristics of Early Freezing Concrete with Different Air Entraining Agent Content, columnId=1222925283779400191, journalTitle=Water Resources and Power, columnName=WATER CONSERVANCY AND HYDROPOWER ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

To study the evolution law of member properties of hydraulic concrete materials under the coupling effect of freeze thaw cycles and salt erosion, early frozen specimens with different air-entraining agent admixtures (0, 0.005%, 0.01%) were selected and placed in a composite solution with a mass fraction of 3.5% sodium chloride +5% sodium sulfate for freeze-thaw cycle tests. Based on nuclear magnetic resonance (NMR)-fractal theory, the coupling relationship between the fractal dimension of the concrete pore volume and the damage degree of the specimens was constructed. The results show that the addition of air-entraining agents in concrete materials in appropriate amounts can effectively improve the mechanical properties such as elastic modulus and compressive strength of the members under the effect of salt freezing, and can improve the pore structure and frost resistance. The fractal dimension of concrete pore volume tested by nuclear magnetic resonance gradually decreases with the increase of freeze-thaw cycles, which indicates that the addition of air-entraining agent can change the internal pore structure of concrete in the initial state, and the effect is more obvious with the increase of air-entraining agent mixture. The correlation model between fractal dimension of pore volume and compressive strength was established by combining fractal theory, and the best functional relationship between fractal dimension D_MAX and compressive strength was found to be approximately exponential function. The regression coefficients R² is greater than 0.85, and the fitting effect is ideal, which provides a reference for durability assessment of concrete structures.

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为研究水工混凝土材料在冻融循环与盐侵蚀耦合作用下构件性能演变规律，选取不同引气剂掺量（0、0.005%、0.01%）的早期受冻试件，置于质量分数为3.5%氯化钠+5%硫酸钠复合溶液内进行冻融循环试验，并基于核磁共振技术（NMR）—分形理论，构建混凝土孔体积分形维数与试件抗压强度间的耦联关系。结果表明，在混凝土材料中适量加入引气剂，可有效提高盐冻作用下构件的弹性模量、抗压强度等力学性能，并可改善孔结构，提高抗冻性；核磁共振测试的混凝土孔体积分形维数随着冻融循环次数的增加逐渐减小，表明引气剂的加入可改变初始状态下混凝土内部孔隙结构，且随着引气剂掺量的增加效果更为明显；结合分形理论建立的孔体积分形维数与抗压强度关联模型，发现分形维数D_MAX与抗压强度的最佳函数关系近似指数函数，回归系数R²均大于0.85，拟合效果良好，可为混凝土结构的耐久性评估提供参考。

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^2.浙江省农村水利水电资源配置与调控关键技术重点实验室，浙江 杭州 310018
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徐存东（1972-），男，博士、教授，研究方向为水工结构优化设计和耐久性，E-mail：xcundong@126.com

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徐存东（1972-），男，博士、教授，研究方向为水工结构优化设计和耐久性，E-mail：xcundong@126.com

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