Article(id=1322636293998236004, tenantId=1146029695717560320, journalId=1263187385517883426, issueId=1322636274364698818, articleNumber=null, orderNo=null, doi=10.14062/j.issn.0454-5648.20200223, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1585497600000, receivedDateStr=2020-03-30, revisedDate=1586793600000, revisedDateStr=2020-04-14, acceptedDate=null, acceptedDateStr=null, onlineDate=1793270665882, onlineDateStr=2026-10-29, pubDate=1605801600000, pubDateStr=2020-11-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793270665882, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793270665882, creator=13701087609, updateTime=1793270665882, updator=13701087609, issue=Issue{id=1322636274364698818, tenantId=1146029695717560320, journalId=1263187385517883426, year='2020', volume='48', issue='11', pageStart='1689', pageEnd='1864', issueExtLink='null', onlineDate='null', pubDate='1605801600000', pubDateStr='2020-11-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793270661202, creator='13701087609', updateTime=1793277186220, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322663642319930111, tenantId=1146029695717560320, journalId=1263187385517883426, issueId=1322636274364698818, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322663642319930112, tenantId=1146029695717560320, journalId=1263187385517883426, issueId=1322636274364698818, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1808, endPage=1816, ext={EN=ArticleExt(id=1322636294216339813, articleId=1322636293998236004, tenantId=1146029695717560320, journalId=1263187385517883426, language=EN, title=Prediction of Water Permeability for Cement-based Material from the Pore Size Distribution Achieved by Low-field Nuclear Magnetic Resonance Relaxation Technique, columnId=1263922769897599102, journalTitle=Journal of the Chinese Ceramic Society, columnName=Research Articles, runingTitle=null, highlight=null, articleAbstract=

In order to clarify the relationship between the permeability of cement-based material and its pore structure, several mortars at different water to cement ratios and curing temperatures were investigated through the measurements of their pore structures by the low-field nuclear magnetic resonance (LF-NMR) and mercury intrusion porosimetry (MIP). Their permeability coefficients to water were also measured based on the Darcy law. The results show that the pore size distribution of water-saturated mortar is obviously different from that at totally dry state, whose critical diameter is larger by roughly 1 order of magnitude. This great gap is rooted to the essential water permeability for hydrated calcium silicate (C-S-H) and thus cement-based material, making their nanoscale pore structure highly depend on water contents. Furthermore, the total porosity and critical pore size both remarkably increase after curing in hot water of 80 ℃ for 56 d, which therefore increases the water permeability. These effects are brought by the chemical aging of C-S-H gels, which harms the durability performance of cement-based material. When investigating the evolution of pore structure through common MIP, the effect of drying preconditioning on pore structure should be taken into account because it is much greater than the effect of chemical aging at elevated temperature. If treating all the pores as bundles of capillary tubes, the classical Kozeny-Carman theory is able to predict the water permeability of mortars according to the pore structure achieved through LF-NMR at water-saturated state. The relative prediction error of the Kozeny-Carman theory with a linear coefficient of 1.09 is as low as within [-42.7%, 71.1%], which is similar to the experimental error of extremely low water permeability.

, authors=Enhui XIE, Chunsheng ZHOU, authorsList=Enhui XIE, Chunsheng ZHOU, authorCompany=null, correspAuthors=Chunsheng ZHOU, authorNote=

XIE Enhui (1994-), male, Master. E-mail:

, correspAuthorsNote=
ZHOU Chunsheng (1983-), male, Ph.D., Professor. E-mail:
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为深入揭示水泥基材料渗透率与孔结构间的关系,以不同水灰比、不同温度水养的白水泥砂浆为研究对象,利用低场磁共振与压汞技术分别测试了砂浆在饱水与干燥状态下的孔径分布,并利用稳态渗透法测试其水分渗透率。结果表明:砂浆在饱水与干燥状态下的孔结构差异显著,临界孔径相差1个数量级左右,原因在于水化硅胶钙(C-S-H)凝胶具有显著的水敏性。经历56 d 80 ℃热水养护后,由于C-S-H凝胶高温老化加速,饱水砂浆的孔隙率及临界孔径显著增大,孔结构明显粗化,水分渗透率增大,对耐久性不利。干燥预处理对压汞测试所得孔结构的影响可能远超高温老化,在分析孔结构变化时必须考虑水敏性的影响,否则可能得出错误结论。将孔隙视作不同大小的毛细管束,经典Kozeny-Carman模型可基于低场磁共振测试所得饱水孔径分布曲线来准确预测水分渗透率,将比例系数取为1.09所得理论值与实测值的相对误差在[-42.7%,71.1%]范围内,预测精度接近极低渗透率测试的误差水平。

, authors=谢恩慧, 周春圣, authorsList=谢恩慧, 周春圣, authorCompany=null, correspAuthors=周春圣, authorNote=

谢恩慧(1994—),男,硕士。

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周春圣(1983—),男,博士,教授。
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利用低场磁共振弛豫测孔技术预测水泥基材料的水分渗透率
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谢恩慧 , 周春圣
硅酸盐学报 | 研究论文 2020,48(11): 1808-1816
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硅酸盐学报 |研究论文 2020 , 48 (11) : 1808 -1816
利用低场磁共振弛豫测孔技术预测水泥基材料的水分渗透率
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谢恩慧 , 周春圣
作者信息
  • 哈尔滨工业大学土木工程学院,哈尔滨 150090
通讯作者:
周春圣(1983—),男,博士,教授。
作者简介:

谢恩慧(1994—),男,硕士。

Prediction of Water Permeability for Cement-based Material from the Pore Size Distribution Achieved by Low-field Nuclear Magnetic Resonance Relaxation Technique
Enhui XIE , Chunsheng ZHOU
Affiliations
  • School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China
  • Corresponding Author:
    ZHOU Chunsheng (1983-), male, Ph.D., Professor. E-mail:

    XIE Enhui (1994-), male, Master. E-mail:

出版时间: 2020-11-20 doi: 10.14062/j.issn.0454-5648.20200223
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为深入揭示水泥基材料渗透率与孔结构间的关系,以不同水灰比、不同温度水养的白水泥砂浆为研究对象,利用低场磁共振与压汞技术分别测试了砂浆在饱水与干燥状态下的孔径分布,并利用稳态渗透法测试其水分渗透率。结果表明:砂浆在饱水与干燥状态下的孔结构差异显著,临界孔径相差1个数量级左右,原因在于水化硅胶钙(C-S-H)凝胶具有显著的水敏性。经历56 d 80 ℃热水养护后,由于C-S-H凝胶高温老化加速,饱水砂浆的孔隙率及临界孔径显著增大,孔结构明显粗化,水分渗透率增大,对耐久性不利。干燥预处理对压汞测试所得孔结构的影响可能远超高温老化,在分析孔结构变化时必须考虑水敏性的影响,否则可能得出错误结论。将孔隙视作不同大小的毛细管束,经典Kozeny-Carman模型可基于低场磁共振测试所得饱水孔径分布曲线来准确预测水分渗透率,将比例系数取为1.09所得理论值与实测值的相对误差在[-42.7%,71.1%]范围内,预测精度接近极低渗透率测试的误差水平。

水泥砂浆  /  水分渗透率  /  孔结构  /  低场磁共振  /  水敏性

In order to clarify the relationship between the permeability of cement-based material and its pore structure, several mortars at different water to cement ratios and curing temperatures were investigated through the measurements of their pore structures by the low-field nuclear magnetic resonance (LF-NMR) and mercury intrusion porosimetry (MIP). Their permeability coefficients to water were also measured based on the Darcy law. The results show that the pore size distribution of water-saturated mortar is obviously different from that at totally dry state, whose critical diameter is larger by roughly 1 order of magnitude. This great gap is rooted to the essential water permeability for hydrated calcium silicate (C-S-H) and thus cement-based material, making their nanoscale pore structure highly depend on water contents. Furthermore, the total porosity and critical pore size both remarkably increase after curing in hot water of 80 ℃ for 56 d, which therefore increases the water permeability. These effects are brought by the chemical aging of C-S-H gels, which harms the durability performance of cement-based material. When investigating the evolution of pore structure through common MIP, the effect of drying preconditioning on pore structure should be taken into account because it is much greater than the effect of chemical aging at elevated temperature. If treating all the pores as bundles of capillary tubes, the classical Kozeny-Carman theory is able to predict the water permeability of mortars according to the pore structure achieved through LF-NMR at water-saturated state. The relative prediction error of the Kozeny-Carman theory with a linear coefficient of 1.09 is as low as within [-42.7%, 71.1%], which is similar to the experimental error of extremely low water permeability.

cement mortar  /  water permeability  /  pore structure  /  low-field nuclear magnetic resonance  /  water sensitivity
谢恩慧, 周春圣. 利用低场磁共振弛豫测孔技术预测水泥基材料的水分渗透率. 硅酸盐学报, 2020 , 48 (11) : 1808 -1816 . DOI: 10.14062/j.issn.0454-5648.20200223
Enhui XIE, Chunsheng ZHOU. Prediction of Water Permeability for Cement-based Material from the Pore Size Distribution Achieved by Low-field Nuclear Magnetic Resonance Relaxation Technique[J]. Journal of the Chinese Ceramic Society, 2020 , 48 (11) : 1808 -1816 . DOI: 10.14062/j.issn.0454-5648.20200223
  • 国家自然科学基金面上项目(51578194)
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doi: 10.14062/j.issn.0454-5648.20200223
  • 接收时间:2020-03-30
  • 首发时间:2026-10-29
  • 出版时间:2020-11-20
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  • 收稿日期:2020-03-30
  • 修回日期:2020-04-14
基金
国家自然科学基金面上项目(51578194)
作者信息
    哈尔滨工业大学土木工程学院,哈尔滨 150090

通讯作者:

周春圣(1983—),男,博士,教授。
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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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