Artificial neural network based mechanical and electrical property prediction of engineered cementitious composites

Author:

Shi L.,Lin S.T.K.,Lu Y.,Ye L.,Zhang Y.X.

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference38 articles.

1. A. Akkari, 2011. Evaluation of a polyvinyl alcohol fiber reinforced engineered cementitious composite for a thin-bonded pavement overlay (No. MN/RC 2011-11). Minnesota Department of Transportation, Research Services Section.

2. Tensile strain hardening behaviour of hybrid steel-polyethylene fibre reinforced cementitious composites;Ahmed;Constr. Build. Mater.,2009

3. ASTM, 39, Standard test method for compressive strength of cylindrical concrete specimens, ASTM International, 2001

4. ASTM, C78-09 (2009) Standard test method for flexural strength of concrete (using simple beam with third-point loading), ASTM International, 2009.

5. M.H. Beale, M.T. Hagan, H.B. Demuth, Neural Network Toolbox – Getting Started Guide, Mathwork, 2016.

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