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Author:

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

Indexed by:

CPCI-S EI Scopus

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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

Reprint Author's Address:

  • 李悦

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

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Source :

ADVANCED BUILDING MATERIALS, PTS 1-4

ISSN: 1022-6680

Year: 2011

Issue: 1-4

Volume: 250-253

Page: 104-108

Language: English

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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