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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
 e 
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
  
26 set 2024
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Categoria dell'articolo: Original Study
Pubblicato online: 26 set 2024
Pagine: 349 - 376
Ricevuto: 07 mag 2024
Accettato: 15 lug 2024
DOI: https://doi.org/10.2478/sgem-2024-0020
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© 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
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Geoscienze, Geoscienze, altro, Scienze materiali, Compositi, Materiali porovati, Fisica, Meccanica e dinamica dei fluidi
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