Modeling the Compressive Strength of Metakaolin-Based Self-Healing Geopolymer Concrete Using Machine Learning Models

Néstor Ulloa; Ember G. Zumba Novay; María Albuja; Diego Mayorga

About The Authors

Néstor Ulloa
1) Facultad de Mecánica, Escuela Superior Politécnica de Chimborazo (ESPOCH), Panamericana Sur km. 1 ½, Riobamba 060155, Ecuador. 2) Grupo de Investigación y Desarrollo de Nanotecnología, Materiales y Manufactura (GIDENM), Escuela Superior Politécnica de Chimborazo, ESPOCH, Panamericana Sur Km 1½, Riobamba, Ecuador.

Ember G. Zumba Novay
Facultad de Mecánica, Escuela Superior Politécnica de Chimborazo (ESPOCH), Panamericana Sur km. 1 ½, Riobamba 060155,
Ecuador

María Albuja
Facultad de Mecánica, Escuela Superior Politécnica de Chimborazo (ESPOCH), Panamericana Sur km. 1 ½, Riobamba 060155,
Ecuador

Diego Mayorga
Facultad de Mecánica, Escuela Superior Politécnica de Chimborazo (ESPOCH), Panamericana Sur km. 1 ½, Riobamba 060155,
Ecuador

Journal Imprint

Indexing and Abstracting

Civil Engineering Journal is now the member of Committee on Publication Ethics (COPE).

Open Access Journal

Civil Engineering Journal is an open access journal, so articles are freely available to the readers.

Publication Start Year:	2015
JCR 2023 Impact Factor (IF):	4.3
JIF QUARTILE:	Q1
SJR 2023 Quartile:	Q1
Acceptance Rate:	27%
Review Speed (Average):	76 days
Issue Per Year:	12
Number of Volumes:	10
Number of Issues:	107
Number of Articles:	1552
Number of Reviewers:	3417
Number of Contributors:	3604
Contributing Countries:	86
No. of WoS Citations:	7986
WoS h-index:	34
Scopus CiteScore:	7.0
No. of Google Citations:	17324
Google h-index:	47
Google i10-index:	393
Abstract Views:	5,819,908
PDF Download:	3,790,637