Prediction of elastic modulus of normal and high strength concrete using ANFIS and optimal nonlinear regression models-Reference-Cited by-同舟云学术

Prediction of elastic modulus of normal and high strength concrete using ANFIS and optimal nonlinear regression models

Published:2012-11 Issue: Volume:36 Page:665-673
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Ahmadi-Nedushan Behrouz

Publisher

Elsevier BV

Subject

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

Reference33 articles.

1. Structural concrete: theory and design;Hassoun,2008

2. Prediction of elastic modulus of normal and high strength concrete by support vector machine

3. ACI Committee 318. Building code requirements for reinforced concrete (ACI 318-95). Farmington Hills, MI: American Institute; 1995.

4. Turkish Standardization Institute. Requirements for design and construction of reinforced concrete structures TS 500. Ankara: Turkish Standardization Institute; 2000.

5. 363 State-of-art-report on high strength concrete;Committee;ACI Mater J,1984

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