Estimating strength properties of geopolymer self-compacting concrete using machine learning techniques
There has been a persistent drive for sustainable development in the concrete industry. While there are series of encouraging experimental research outputs, yet the research field requires a standard framework for the material development. In this study, the strength characteristics of geopolymer se...
- Autores:
-
Awoyera, Paul
Kirgiz, Mehmet S.
amelec, viloria
Ovallos, David
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/8041
- Acceso en línea:
- https://hdl.handle.net/11323/8041
https://doi.org/10.1016/j.jmrt.2020.06.008
https://repositorio.cuc.edu.co/
- Palabra clave:
- Artificial neural networks
Genetic programming
Predictor
Response
Self-Compacting concrete
Geopolymers
- Rights
- openAccess
- License
- CC0 1.0 Universal