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Intelligent Models for Prediction of Compressive Strength of Geopolymer Pervious Concrete Hybridized with Agro-Industrial and Construction-Demolition Wastes

Shriram Marathe

Shriram Marathe

Department of Materials Engineering and Construction Processes, Faculty of Civil Engineering, Wrocław University of Science and TechnologyWrocław, Poland
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Marathe, Shriram
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Anisha P Rodrigues

Anisha P Rodrigues

Department of Computer Science and Engineering, Nitte (Deemed to be University), NMAM Institute of Technology (NMAMIT)INDIA
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Rodrigues, Anisha P
  
Sep 26, 2024
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Article Category: Original Study
Published Online: Sep 26, 2024
Page range: 349 - 376
Received: May 07, 2024
Accepted: Jul 15, 2024
DOI: https://doi.org/10.2478/sgem-2024-0020
Keywords
© 2024 Shriram Marathe et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Marathe, Shriram
Department of Materials Engineering and Construction Processes, Faculty of Civil Engineering, Wrocław University of Science and TechnologyWrocław, Poland
Rodrigues, Anisha P
Department of Computer Science and Engineering, Nitte (Deemed to be University), NMAM Institute of Technology (NMAMIT)INDIA
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Geosciences, Geosciences, other, Materials Sciences, Composites, Porous Materials, Physics, Mechanics and Fluid Dynamics
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