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author:

Ji, Tao (Ji, Tao.) [1] (Scholars:季韬) | Zhuang, Yizhou (Zhuang, Yizhou.) [2] | Chen, Baochun (Chen, Baochun.) [3] (Scholars:陈宝春) | Huang, Zhibin (Huang, Zhibin.) [4]

Indexed by:

CPCI-S EI Scopus

Abstract:

Based on orthogonal array testing strategy (OATS), the effects of sand-binder ratio (S/B), water-binder ratio (W/B), and the ratio of steel fiber volume to reactive powder concrete (RPC) volume (STF/R) on the compressive strength and chloride diffusion coefficient of RPC were investigated using an artificial neural network method. Research results reveal that the compressive strength of RPC approaches summit when STF/R is 2% or W/B is 0.18-0.2%, and decreases with the increasing of S/B. Furthermore, the chloride diffusion coefficient increases with W/B or STF/R and decreases with S/B.

Keyword:

Artificial Neural Network Reactive Powder Concrete Sand-Binder Ratio

Community:

  • [ 1 ] [Ji, Tao]Fuzhou Univ, Coll Civil Engn, Fuzhou 350108, Fujian, Peoples R China
  • [ 2 ] [Zhuang, Yizhou]Fuzhou Univ, Coll Civil Engn, Fuzhou 350108, Fujian, Peoples R China
  • [ 3 ] [Chen, Baochun]Fuzhou Univ, Coll Civil Engn, Fuzhou 350108, Fujian, Peoples R China
  • [ 4 ] [Huang, Zhibin]Fuzhou Univ, Coll Civil Engn, Fuzhou 350108, Fujian, Peoples R China

Reprint 's Address:

  • 季韬

    [Ji, Tao]Fuzhou Univ, Coll Civil Engn, Fuzhou 350108, Fujian, Peoples R China

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Source :

ADVANCES IN BUILDING MATERIALS, PTS 1-3

ISSN: 1022-6680

Year: 2011

Volume: 168-170

Page: 1030-1033

Language: English

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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