Effect of sulfate freeze-thaw on the stress-strain relationship of recycled coarse aggregate self-compacting concrete: Experimental and machine learning algorithms DOI
Chuanlei Zheng, Yijiang Liu, Luoyin Li

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 449, P. 138383 - 138383

Published: Sept. 19, 2024

Language: Английский

An explainable machine learning approach to predict the compressive strength of graphene oxide-based concrete DOI Creative Commons
D.P.P. Meddage, Isuri Fonseka, Damith Mohotti

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 449, P. 138346 - 138346

Published: Sept. 17, 2024

Language: Английский

Citations

20
Optimizing the utilization of Metakaolin in pre-cured geopolymer concrete using ensemble and symbolic regressions DOI Creative Commons
Kennedy C. Onyelowe, Viroon Kamchoom‬, Ahmed M. Ebid

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 26, 2025

The optimization of metakaolin (MK) in pre-cured geopolymer concrete involves developing predictive models to capture the interplay various influencing factors and guide mix design for improved compressive strength sustainability. Ensemble methods symbolic regression are promising approaches this task due their complementary strengths solving challenges associated with repeated experiments laboratory. Choosing machine learning predictions over repeated, expensive, time-consuming research projects, such as optimizing utilization concrete, presents a paradigm shift how data-driven insights can revolutionize material development. integration ensemble enables researchers derive valuable optimize critical performance parameters efficiently. In work, 235 records were collected from extensive literature search different mixing ratios metakaolin-based at ages. Each record contains MK: content (kg/m3), SHS: Sodium hydroxide solution SHSM: molarity (Mole), SSS: silicate W: Extra water (not including alkaline solutions) W/S: Water Solid ratio (Total / part activator solutions + MK), Na2O/Al2O3: oxide aluminium ratio, SiO2/Al2O3: Silicon H2O/Na2O: CA/FA: Coarse Fine aggregate CAg: coarse aggregates SP: super-plasticizer PCC: 0 no pre-curing, 1 pre-curing 60 °C, 2 80 CT: Curing temperature (°C), Age: age testing (days) CS: Compressive (MPa). portioned into training set (180 records≈75%) validation (55 records≈ 25%) modeled methods. At end model metrics used evaluate models' ability Hoffman Gardener's sensitivity analysis was impact variables on mixed metakaolin. GB KNN became decisive excellent which outclassed others indicated that SHSM, SSS, W/S, Na2O/Al2O3 most influential predicted strength.

Language: Английский

Citations

2
AI-driven design for the compressive strength of ultra-high performance geopolymer concrete (UHPGC): From explainable ensemble models to the graphical user interface DOI
Metin Katlav, Faruk Ergen, İzzeddin Dönmez

et al.

Materials Today Communications, Journal Year: 2024, Volume and Issue: 40, P. 109915 - 109915

Published: July 22, 2024

Language: Английский

Citations

12
Adaptive drive-based integration technique for predicting rheological and mechanical properties of fresh gangue backfill slurry DOI Creative Commons
Chaowei Dong, Jianfei Xu, Nan Zhou

et al.

Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: unknown, P. e04346 - e04346

Published: Feb. 1, 2025

Language: Английский

Citations

1
Explainable ensemble algorithms with grey wolf optimization for estimation of the tensile performance of polyethylene fiber-reinforced engineered cementitious composite DOI
Mehmet Emin TABAR, Metin Katlav, Kâzım Türk

et al.

Materials Today Communications, Journal Year: 2025, Volume and Issue: unknown, P. 112028 - 112028

Published: Feb. 1, 2025

Language: Английский

Citations

1
New Opportunity: Materials Genome Strategy for Engineered Cementitious Composites (ECC) Design DOI
Wenguang Chen, Long Liang, Fangming Jiang

et al.

Cement and Concrete Composites, Journal Year: 2025, Volume and Issue: 159, P. 106009 - 106009

Published: Feb. 27, 2025

Language: Английский

Citations

1
Sustainable Catalysts: Advances in Geopolymer-Catalyzed Reactions and Their Applications DOI
Fernando Gomes de Souza, Shekhar Bhansali, Viviane Silva Valladão

et al.

Journal of Molecular Structure, Journal Year: 2025, Volume and Issue: unknown, P. 142017 - 142017

Published: March 1, 2025

Language: Английский

Citations

1
Machine learning guided iterative mix design of geopolymer concrete DOI
Haodong Ji, Yuhui Lyu, Weichao Ying

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 91, P. 109710 - 109710

Published: May 22, 2024

Language: Английский

Citations

6
Geopolymer bricks: The next generation of construction materials for sustainable environment DOI
Dipankar Das,

Anna Gołąbiewska,

Prasanta Kumar Rout

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 445, P. 137876 - 137876

Published: Aug. 17, 2024

Language: Английский

Citations

6
Parametric Analysis and Prediction of Geopolymerization Process DOI
Suraj Kumar Parhi, Sanjaya Kumar Patro

Materials Today Communications, Journal Year: 2024, Volume and Issue: unknown, P. 111047 - 111047

Published: Nov. 1, 2024

Language: Английский

Citations

6