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

• Main Authors: Iftikhar, Bawar, Alih, Sophia C., Vafaei, Mohammadreza, Javed, Muhammad Faisal, Rehman, Muhammad Faisal, Abdullaev, Sherzod Shukhratovich, Tamam, Nissren, Khan, M. Ijaz, Hassan, Ahmed M.
• Format: Article
• Language: English
• Published: Springer Nature 2023
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/106850/1/BawarIftikhar2023_PredictingCompressiveStrengthofEcoFriendly.pdf; http://eprints.utm.my/106850/; http://dx.doi.org/10.1038/s41598-023-39349-2

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 compressiv...