Predicting compressive strength of eco-friendly plastic sand paver blocks using gene expression and artificial intelligence programming.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
27 07 2023
Historique:
received: 09 03 2023
accepted: 24 07 2023
medline: 31 7 2023
pubmed: 28 7 2023
entrez: 27 7 2023
Statut: epublish

Résumé

Plastic sand paver blocks provide a sustainable alternative by using plastic waste and reducing the need for cement. This innovative approach leads to a more sustainable construction sector by promoting environmental preservation. No model or Equation has been devised that can predict the compressive strength of these blocks. This study utilized gene expression programming (GEP) and multi-expression programming (MEP) to develop empirical models to forecast the compressive strength of plastic sand paver blocks (PSPB) comprised of plastic, sand, and fibre in an effort to advance the field. The database contains 135 results for compressive strength with seven input parameters. The R

Identifiants

pubmed: 37500697
doi: 10.1038/s41598-023-39349-2
pii: 10.1038/s41598-023-39349-2
pmc: PMC10374568
doi:

Substances chimiques

Sand 0
Plastics 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

12149

Informations de copyright

© 2023. The Author(s).

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Auteurs

Bawar Iftikhar (B)

School of Civil Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia.
Department of Civil Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, 22060, Pakistan.

Sophia C Alih (SC)

Institute of Noise and Vibration, School of Civil Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia.

Mohammadreza Vafaei (M)

School of Civil Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia.

Muhammad Faisal Javed (MF)

Department of Civil Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, 22060, Pakistan.

Muhammad Faisal Rehman (MF)

Department of Architecture, University of Engineering and Technology Peshawar, Abbottabad Campus, Abbottabad, Pakistan.

Sherzod Shukhratovich Abdullaev (SS)

Faculty of Chemical Engineering, New Uzbekistan University, Tashkent, Uzbekistan.
Department of Science and Innovation, Tashkent State Pedagogical University Named after Nizami, Bunyodkor Street 27, Tashkent, Uzbekistan.

Nissren Tamam (N)

Department of Physics, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.

M Ijaz Khan (MI)

Department of Mathematics and Statistics, Riphah International University, I-14, Islamabad, 44000, Pakistan. scientificresearchglobe@gmail.com.
Department of Mechanical Engineering, Lebanese American University, Kraytem, Beirut, 1102-2801, Lebanon. scientificresearchglobe@gmail.com.

Ahmed M Hassan (AM)

Center of Research, Faculty of Engineering, Future University in Egypt, New Cairo, 11835, Egypt.

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