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Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials
Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials
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Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials

Ahmad, Waqas ; Ahmad, Ayaz ; Ostrowski, Krzysztof Adam ; Aslam, Fahid ; Joyklad, Panuwat ; Zajdel, Paulina

Materials, 2021-10, Vol.14 (19), p.5762 [Periódico revisado por pares]

Basel: MDPI AG

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2
Ecofriendly geopolymer concrete: a comprehensive review
Ecofriendly geopolymer concrete: a comprehensive review
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Ecofriendly geopolymer concrete: a comprehensive review

Parathi, Saranya ; Nagarajan, Praveen ; Pallikkara, Shashikala Aikot

Clean technologies and environmental policy, 2021-08, Vol.23 (6), p.1701-1713 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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3
The Influence of Substitution of Fly Ash with Marble Dust or Blast Furnace Slag on the Properties of the Alkali-Activated Geopolymer Paste
The Influence of Substitution of Fly Ash with Marble Dust or Blast Furnace Slag on the Properties of the Alkali-Activated Geopolymer Paste
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The Influence of Substitution of Fly Ash with Marble Dust or Blast Furnace Slag on the Properties of the Alkali-Activated Geopolymer Paste

Ionescu, Brăduţ Alexandru ; Barbu, Alexandra-Marina ; Lăzărescu, Adrian-Victor ; Rada, Simona ; Gabor, Timea ; Florean, Carmen

Coatings (Basel), 2023-02, Vol.13 (2), p.403 [Periódico revisado por pares]

Basel: MDPI AG

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4
Consideration of strength and service life in cradle-to-gate life cycle assessment of self-compacting concrete in a maritime area: a study in the Brazilian context
Consideration of strength and service life in cradle-to-gate life cycle assessment of self-compacting concrete in a maritime area: a study in the Brazilian context
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Consideration of strength and service life in cradle-to-gate life cycle assessment of self-compacting concrete in a maritime area: a study in the Brazilian context

Vieira, Darli Rodrigues ; Calmon, João Luiz ; Zulcão, Robson ; Coelho, Felipe Zanellato

Environment, development and sustainability, 2018-08, Vol.20 (4), p.1849-1871 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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5
Evaluating Techno-Eco-Efficiency of Waste Clay Brick Powder (WCBP) in Geopolymer Binders
Evaluating Techno-Eco-Efficiency of Waste Clay Brick Powder (WCBP) in Geopolymer Binders
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Evaluating Techno-Eco-Efficiency of Waste Clay Brick Powder (WCBP) in Geopolymer Binders

Sharmin, Shaila ; Biswas, Wahidul K. ; Sarker, Prabir K.

Buildings (Basel), 2024-03, Vol.14 (3), p.692 [Periódico revisado por pares]

Basel: MDPI AG

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6
Characterizing the Performance of Ternary Concrete Mixtures Involving Slag and Metakaolin
Characterizing the Performance of Ternary Concrete Mixtures Involving Slag and Metakaolin
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Characterizing the Performance of Ternary Concrete Mixtures Involving Slag and Metakaolin

Sullivan, Matthew S. ; Chorzepa, Mi G. ; Durham, Stephan A.

Infrastructures (Basel), 2020, Vol.5 (2), p.14 [Periódico revisado por pares]

Basel: MDPI AG

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7
Composites Based on Alternative Raw Materials at High Temperature Conditions
Composites Based on Alternative Raw Materials at High Temperature Conditions
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Composites Based on Alternative Raw Materials at High Temperature Conditions

Melichar, Tomáš ; Bydžovský, Jiří ; Dufka, Ámos

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2017-10, Vol.61 (4), p.911 [Periódico revisado por pares]

Budapest: Periodica Polytechnica, Budapest University of Technology and Economics

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8
The evaluation of the influence of mineral additives on the durability of self-compacting concretes
The evaluation of the influence of mineral additives on the durability of self-compacting concretes
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The evaluation of the influence of mineral additives on the durability of self-compacting concretes

Owsiak, Zdzisława ; Grzmil, Wioletta

KSCE Journal of Civil Engineering, 2015, 19(4), , pp.1002-1008 [Periódico revisado por pares]

Heidelberg: Korean Society of Civil Engineers

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9
Soft computing models to predict the compressive strength of GGBS/FA- geopolymer concrete
Soft computing models to predict the compressive strength of GGBS/FA- geopolymer concrete
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Soft computing models to predict the compressive strength of GGBS/FA- geopolymer concrete

Ahmed, Hemn U ; Mohammed, Azad A ; Mohammed, Ahmed Xie, Tianyu

PloS one, 2022-05, Vol.17 (5), p.e0265846-e0265846 [Periódico revisado por pares]

United States: Public Library of Science

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10
Predicting the Compressive Strength of the Cement-Fly Ash–Slag Ternary Concrete Using the Firefly Algorithm (FA) and Random Forest (RF) Hybrid Machine-Learning Method
Predicting the Compressive Strength of the Cement-Fly Ash–Slag Ternary Concrete Using the Firefly Algorithm (FA) and Random Forest (RF) Hybrid Machine-Learning Method
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Predicting the Compressive Strength of the Cement-Fly Ash–Slag Ternary Concrete Using the Firefly Algorithm (FA) and Random Forest (RF) Hybrid Machine-Learning Method

Huang, Jiandong ; Sabri, Mohanad Muayad Sabri ; Ulrikh, Dmitrii Vladimirovich ; Ahmad, Mahmood ; Alsaffar, Kifayah Abood Mohammed

Materials, 2022-06, Vol.15 (12), p.4193 [Periódico revisado por pares]

Basel: MDPI AG

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