Influence of chemical constituents of binder and activator in predicting compressive strength...

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A systematic literature review of AI-based prediction methods for self-compacting, geopolymer, and other eco-friendly concrete types: Advancing sustainable concrete

T Ali, MH El Ouni, MZ Qureshi, ABMS Islam… - … and Building Materials, 2024 - Elsevier
The construction industry's growing emphasis on sustainability has driven the development
of eco-friendly concrete alternatives, such as self-compacting concrete (SCC) and …
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Performance of precursor characteristics in the realisation of geopolymer concrete: a review

S Dwibedy, SK Parhi, S Panda… - Magazine of Concrete …, 2024 - icevirtuallibrary.com
Geopolymers are inorganic polymers whose formation is based on the reaction between
precursors and reagents, which may be alkaline or acidic. The geopolymerisation process …
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Application of R-curve, ANCOVA, and RSM techniques on fracture toughness enhancement in PET fiber-reinforced concrete

SK Parhi, SK Patro - Construction and Building Materials, 2024 - Elsevier
The present study focuses on evaluating the optimal mix-design parameters of waste PET-
fiber reinforced concrete (PFRC), aiming to enhance its fracture toughness. This study is …
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Predicting the compressive strength of engineered geopolymer composites using automated machine learning

MA Gad, E Nikbakht, MG Ragab - Construction and Building Materials, 2024 - Elsevier
Abstract Engineered Geopolymer Composites (EGC) offer a sustainable and high-
performance alternative to traditional concrete and Engineered Cementitious Composites …
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AI-driven critical parameter optimization of sustainable self-compacting geopolymer concrete

SK Parhi, S Dwibedy, SK Panigrahi - Journal of Building Engineering, 2024 - Elsevier
This study aims to optimize the critical parameters of self-compacting geopolymer concrete
(SCGC) with a primary focus on enhancing compressive strength. Optimization of SCGC …
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Multi-objective optimization and prediction of strength along with durability in acid-resistant self-compacting alkali-activated concrete

SK Parhi, A Nanda, SK Panigrahi - Construction and Building Materials, 2024 - Elsevier
Sustainability in concrete production reduces the environmental impact and conserves
resources, yielding durable concrete. This study focuses on develo** and analyzing an …
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Integrating data imputation and augmentation with interpretable machine learning for efficient strength prediction of fly ash-based alkali-activated concretes

N Miyan, NMA Krishnan, S Das - Journal of Building Engineering, 2024 - Elsevier
Fly ash-based alkali-activated concrete (AAC) is renowned for its superior mechanical
performance and sustainability, presenting an attractive alternative to traditional Portland …
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Metaheuristic optimization of machine learning models for strength prediction of high-performance self-compacting alkali-activated slag concrete

SK Parhi, S Panda, S Dwibedy… - … Modeling, Experiments and …, 2024 - Springer
The present study focuses on producing high-performance eco-efficient alternatives to
conventional cement-based composites. The study is divided into two parts. The first part …
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Compressive strength prediction of high-performance concrete: Integrating multi-ingredient influences and mix proportion insights

Q Chen, J Zhang, L Zhang, Z Wang, T Zhao… - … and Building Materials, 2024 - Elsevier
The mechanical properties of high-performance concrete (HPC) are determined by the type,
properties, and proportions of its material ingredients. Considering the flexibility of the mix …
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Transfer learning framework for modelling the compressive strength of ultra-high performance geopolymer concrete

HAT Nguyen, DH Pham, AT Le, Y Ahn, BL Oo… - … and Building Materials, 2025 - Elsevier
Ultra-high performance geopolymer concrete (UHPGC) presents a sustainable alternative to
traditional ultra-high performance concrete (UHPC). Accurate prediction of UHPGC …
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