Prediction of combined effects of fibers and nanosilica on the mechanical properties of self-compacting concrete using artificial neural network-Reference-Cited by-同舟云学术

Prediction of combined effects of fibers and nanosilica on the mechanical properties of self-compacting concrete using artificial neural network

Published:2014 Issue:11 Volume:11 Page:1906-1923
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,Shiade Masoud Falahtabar¹,Kutanaei Saman Soleimani³

Affiliation:

1. University of Technology, IRAN

2. Islamic Azad University Qaemshahr, Iran

3. Road, Housing and Urban Development Research Center, 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/v11n11/v11n11a02.pdf

Reference41 articles.

1. Effect of sulfates on bond behavior between carbon fiber reinforced polymer sheets and concrete;Al-Rousan R;Materials & Design,2013

2. Mechanical, durability and microstructural characteristics of ultra-high-strength self-compacting concrete incorporating steel fibers;El-Dieb Amr S.;Materials & Design,2009

3. Application of ANN to evaluate effective parameters affectingfailure load and displacement of RC buildings;Arslan MH;Nat Hazards Earth SystSci J,2009

4. Prediction of forcereduction factor R of prefabricated industrial buildings using neural networks;Arslan MH;StructEngMech,2007

5. An experimental survey on combined effects of fibers and nanosilica on the mechanical, rheological, and durability properties of selfcompacting concrete;Morteza H.;Materials & Design,2013

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