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作者:

Li, Yue (Li, Yue.) (学者:李悦) | Bao, Junling (Bao, Junling.) | Sui, Chun-e (Sui, Chun-e.) | Du, Xiuli (Du, Xiuli.) (学者:杜修力)

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摘要:

This paper presents the effects of mineral admixtures and the water to binder ratio (W/B) on the tensile and compressive strength and micro pore structure of hardened cement pastes. The test results show that: with the water to binder ratio increasing, the tensile and compressive strength of cement paste with different mineral admixtures will decrease, air content and mean pore diameter will decrease and the cement paste with the ground blast furnace slag is the lowest. The artificial neural network based on its nonlinear mapping function can fit the relationship between strength and pore structure more accurate than an empirical formula.

关键词:

artificial neural network cement paste compressive strength mineral admixture pore structure tensile strength

作者机构:

  • [ 1 ] [Li, Yue]Beijing Univ Technol, MOE, Key Lab Urban Secur & Disaster Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Bao, Junling]Beijing Univ Technol, MOE, Key Lab Urban Secur & Disaster Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Sui, Chun-e]Beijing Univ Technol, MOE, Key Lab Urban Secur & Disaster Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Du, Xiuli]Beijing Univ Technol, MOE, Key Lab Urban Secur & Disaster Engn, Beijing 100124, Peoples R China

通讯作者信息:

  • 李悦

    [Li, Yue]Beijing Univ Technol, MOE, Key Lab Urban Secur & Disaster Engn, Beijing 100124, Peoples R China

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来源 :

ADVANCED BUILDING MATERIALS, PTS 1-4

ISSN: 1022-6680

年份: 2011

期: 1-4

卷: 250-253

页码: 104-108

语种: 英文

被引次数:

WoS核心集被引频次: 4

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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