Prediction of energy absorption capability in fiber reinforced self-compacting concrete containing nano-silica particles using artificial neural network-Reference-Cited by-同舟云学术

Prediction of energy absorption capability in fiber reinforced self-compacting concrete containing nano-silica particles using artificial neural network

Published:2014-11 Issue:6 Volume:11 Page:966-979
ISSN:1679-7825
Container-title:Latin American Journal of Solids and Structures
language:
Short-container-title:Lat. Am. j. solids struct.

Author:

Tavakoli Hamid Reza¹,Omran Omid Lotfi²,Kutanaei Saman Soleimani³,shiade Masoud Falahtabar³

Affiliation:

1. Babol University of Technology, IRAN

2. Guilan University, Iran

3. Islamic Azad Uni-versity, Iran

Publisher

FapUNIFESP (SciELO)

Subject

Mechanical Engineering,Mechanics of Materials,Ocean Engineering,Aerospace Engineering,Automotive Engineering,General Materials Science,Civil and Structural Engineering

Link

http://www.scielo.br/pdf/lajss/v11n6/v11n6a04.pdf

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4. Prediction of force reduction factor R of prefabricated industrial buildings using neural networks;Arslan MH;Struct Eng Mech,2007

5. Fracture and Size Effect in Concrete and other Quasibrittle Materials;Bazant Z. P.,1997

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