Article(id=1319987110753452926, tenantId=1146029695717560320, journalId=1263187385517883426, issueId=1319987055371858691, articleNumber=null, orderNo=null, doi=10.14062/j.issn.0454-5648.20210431, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1622217600000, receivedDateStr=2021-05-29, revisedDate=1626192000000, revisedDateStr=2021-07-14, acceptedDate=null, acceptedDateStr=null, onlineDate=1792639051377, onlineDateStr=2026-10-22, pubDate=1645286400000, pubDateStr=2022-02-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792639051377, onlineIssueDateStr=2026-10-22, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792639051377, creator=13701087609, updateTime=1792639051377, updator=13701087609, issue=Issue{id=1319987055371858691, tenantId=1146029695717560320, journalId=1263187385517883426, year='2022', volume='50', issue='2', pageStart='277', pageEnd='554', issueExtLink='null', onlineDate='null', pubDate='1645286400000', pubDateStr='2022-02-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1792639038174, creator='13701087609', updateTime=1792639254308, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1319987961958089069, tenantId=1146029695717560320, journalId=1263187385517883426, issueId=1319987055371858691, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1319987961958089070, tenantId=1146029695717560320, journalId=1263187385517883426, issueId=1319987055371858691, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=466, endPage=472, ext={EN=ArticleExt(id=1319987110967362432, articleId=1319987110753452926, tenantId=1146029695717560320, journalId=1263187385517883426, language=EN, title=Modeling of Effective Thermal Conductivity of Cement Paste, columnId=1263922769897599102, journalTitle=Journal of the Chinese Ceramic Society, columnName=Research Articles, runingTitle=null, highlight=null, articleAbstract=

The thermal conductivity of cement paste with different water-cement ratios and curing ages were measured. Moreover, the thermal conductivity of cement paste was predicted by parallel model, series model, Maxwell model, MT model, EMT model and SC model, respectively. In addition, the thermal conductivity of each phase in cement paste was calculated by a molecular dynamics method. The results show that the thermal conductivity of cement paste decreases with the increase of curing age and water-cement ratio. SC model can be used to predict the thermal conductivity of cement paste at different water-cement ratios or curing ages, and the relative error between the predicted and the experimental values is 0.3%-4.7%. The Maxwell model and MT model can be used to calculate the thermal conductivity of cement paste at a large water-cement ratio and a long curing age.

, authors=Yuanbo DU, Yong GE, authorsList=Yuanbo DU, Yong GE, authorCompany=null, correspAuthors=Yong GE, authorNote=

DU Yuanbo (1987-), male, Doctoral candidate. E-mail:

, correspAuthorsNote=
GE Yong (1962-), male, Ph.D., Professor. E-mail:
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测试了不同水灰比、不同养护龄期水泥石的导热系数,并对比了并联模型、串联模型、Maxwell模型、Mori-Tanaka模型、有效介质理论模型和Self-consistent模型对水泥石导热系数的预测效果。利用分子动力学方法计算了水泥石中各相的导热系数。结果表明:水泥石的导热系数随着养护龄期和水灰比的增大而减小。SC模型适用于不同水灰比和养护龄期水泥石导热系数的计算,其计算结果与试验值的相对误差在0.3%~4.7%之间。Maxwell模型和MT模型可以用于对水灰比较大且养护龄期较长的水泥石的导热系数进行计算。

, authors=杜渊博, 葛勇, authorsList=杜渊博, 葛勇, authorCompany=null, correspAuthors=葛勇, authorNote=

杜渊博(1987—),男,博士研究生。

, correspAuthorsNote=
葛勇(1962—),男,博士,教授。
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DU Yuanbo (1987-), male, Doctoral candidate. E-mail:

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水泥石导热系数的计算模型
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杜渊博 , 葛勇
硅酸盐学报 | 研究论文 2022,50(2): 466-472
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硅酸盐学报 |研究论文 2022 , 50 (2) : 466 -472
水泥石导热系数的计算模型
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杜渊博 , 葛勇
作者信息
  • 哈尔滨工业大学交通科学与工程学院,哈尔滨 150090
通讯作者:
葛勇(1962—),男,博士,教授。
作者简介:

杜渊博(1987—),男,博士研究生。

Modeling of Effective Thermal Conductivity of Cement Paste
Yuanbo DU , Yong GE
Affiliations
  • School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
  • Corresponding Author:
    GE Yong (1962-), male, Ph.D., Professor. E-mail:

    DU Yuanbo (1987-), male, Doctoral candidate. E-mail:

出版时间: 2022-02-20 doi: 10.14062/j.issn.0454-5648.20210431
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测试了不同水灰比、不同养护龄期水泥石的导热系数,并对比了并联模型、串联模型、Maxwell模型、Mori-Tanaka模型、有效介质理论模型和Self-consistent模型对水泥石导热系数的预测效果。利用分子动力学方法计算了水泥石中各相的导热系数。结果表明:水泥石的导热系数随着养护龄期和水灰比的增大而减小。SC模型适用于不同水灰比和养护龄期水泥石导热系数的计算,其计算结果与试验值的相对误差在0.3%~4.7%之间。Maxwell模型和MT模型可以用于对水灰比较大且养护龄期较长的水泥石的导热系数进行计算。

水泥石  /  导热系数  /  水灰比  /  养护龄期  /  分子动力学

The thermal conductivity of cement paste with different water-cement ratios and curing ages were measured. Moreover, the thermal conductivity of cement paste was predicted by parallel model, series model, Maxwell model, MT model, EMT model and SC model, respectively. In addition, the thermal conductivity of each phase in cement paste was calculated by a molecular dynamics method. The results show that the thermal conductivity of cement paste decreases with the increase of curing age and water-cement ratio. SC model can be used to predict the thermal conductivity of cement paste at different water-cement ratios or curing ages, and the relative error between the predicted and the experimental values is 0.3%-4.7%. The Maxwell model and MT model can be used to calculate the thermal conductivity of cement paste at a large water-cement ratio and a long curing age.

cement paste  /  thermal conductivity  /  water-cement ratio  /  curing age  /  molecular dynamics method
杜渊博, 葛勇. 水泥石导热系数的计算模型. 硅酸盐学报, 2022 , 50 (2) : 466 -472 . DOI: 10.14062/j.issn.0454-5648.20210431
Yuanbo DU, Yong GE. Modeling of Effective Thermal Conductivity of Cement Paste[J]. Journal of the Chinese Ceramic Society, 2022 , 50 (2) : 466 -472 . DOI: 10.14062/j.issn.0454-5648.20210431
  • 国家国际科技合作专项项目(ISTCP 2014DFR81000)
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doi: 10.14062/j.issn.0454-5648.20210431
  • 接收时间:2021-05-29
  • 首发时间:2026-10-22
  • 出版时间:2022-02-20
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  • 收稿日期:2021-05-29
  • 修回日期:2021-07-14
基金
国家国际科技合作专项项目(ISTCP 2014DFR81000)
作者信息
    哈尔滨工业大学交通科学与工程学院,哈尔滨 150090

通讯作者:

葛勇(1962—),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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