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...

Full description

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