A genetic programming predictive model for parametric study of factors affecting strength of geopolymers-Reference-Cited by-同舟云学术

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A genetic programming predictive model for parametric study of factors affecting strength of geopolymers

Published:2015 Issue:104 Volume:5 Page:85630-85639
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Leong H. Y.¹²³⁴⁵,Ong D. E. L.¹²³⁴⁵,Sanjayan J. G.⁶⁷⁸⁹¹⁰,Nazari A.⁶⁷⁸⁹¹⁰

Affiliation:

1. Research Centre for Sustainable Technologies

2. Faculty of Engineering, Science & Computing

3. Swinburne University of Technology Sarawak Campus

4. 93350 Kuching

5. Malaysia

6. Centre for Sustainable Infrastructure

7. Faculty of Science, Engineering and Technology

8. Swinburne University of Technology

9. Hawthorn

10. Australia

Abstract

Genetic programming to present a predictive model for parametric analysis of the factors affecting compressive strength of geopolymers.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2015/RA/C5RA16286F

Reference23 articles.

1. Costs and carbon emissions for geopolymer pastes in comparison to ordinary portland cement

2. Synthesis of geopolymer from industrial wastes

3. Carbon footprint of geopolymeric mortar: study of the contribution of the alkaline activating solution and assessment of an alternative route

4. An environmental evaluation of geopolymer based concrete production: reviewing current research trends

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