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author:

Ji, T. (Ji, T..) [1] | Zhuang, Y. (Zhuang, Y..) [2] | Chen, B. (Chen, B..) [3] | Huang, Z. (Huang, Z..) [4]

Indexed by:

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, T.]College of Civil Engineering, Fuzhou University, Fuzhou, Fujian, 350108, China
  • [ 2 ] [Zhuang, Y.]College of Civil Engineering, Fuzhou University, Fuzhou, Fujian, 350108, China
  • [ 3 ] [Chen, B.]College of Civil Engineering, Fuzhou University, Fuzhou, Fujian, 350108, China
  • [ 4 ] [Huang, Z.]College of Civil Engineering, Fuzhou University, Fuzhou, Fujian, 350108, China

Reprint 's Address:

  • [Ji, T.]College of Civil Engineering, Fuzhou University, Fuzhou, Fujian, 350108, China

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Source :

Advanced Materials Research

ISSN: 1022-6680

Year: 2011

Volume: 168-170

Page: 1030-1033

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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