Shear strength prediction of FRP reinforced concrete members using generalized regression neural network-Reference-Cited by-同舟云学术

Shear strength prediction of FRP reinforced concrete members using generalized regression neural network

Published:2019-02-27 Issue:10 Volume:32 Page:6151-6158
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Alam Md Shah^ORCID,Gazder Uneb

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-019-04107-x/fulltext.html

Reference45 articles.

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2. American Concrete Institute (ACI) (2006) Guide for the design and construction of structural concrete reinforced with FRP bars. Technical Committee Document ACI440.1R-06, Farmington Hills, Mich

3. ISIS-M03-07 (2007) Reinforcing concrete structures with fibre reinforced polymers. The Canadian network of centers of excellence on intelligent sensing for innovative structures, ISIS Canada, University of Winnipeg, Manitoba

4. Yost JR, Gross SP, Dinehart DW (2001) Shear strength of normal strength concrete beams reinforced with deformed GFRP bars. J Comp Constr 5(4):268–275

5. Alam MS. (2010) Influence of different parameters on shear strength of FRP reinforced concrete beams without web reinforcement. Ph.D. Dissertation, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL, Canada

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