Data-driven modeling of compressive strength in sustainable self-compacting concrete incorporating recycled aggregates using ensemble learning techniques Article

Khan, Arslan Qayyum, Rasheed, Muhammad Dawood, Naveed, Muhammad Huzaifa et al. (2026). Data-driven modeling of compressive strength in sustainable self-compacting concrete incorporating recycled aggregates using ensemble learning techniques . DATA-CENTRIC ENGINEERING, 7 10.1017/dce.2026.10075

cited authors

  • Khan, Arslan Qayyum; Rasheed, Muhammad Dawood; Naveed, Muhammad Huzaifa; Pimanmas, Amorn

authors

publication date

  • January 1, 2026

published in

keywords

  • ALGORITHMS
  • Computer Science
  • Computer Science, Artificial Intelligence
  • Computer Science, Interdisciplinary Applications
  • DESIGN
  • Engineering
  • Engineering, Multidisciplinary
  • FLY-ASH
  • LIGHTWEIGHT CONCRETE
  • MECHANICAL-PROPERTIES
  • PERFORMANCE
  • REPLACEMENT
  • SLUMP
  • Science & Technology
  • Technology
  • XGBoost
  • compressive strength
  • machine learning
  • recycled aggregates
  • self-compacting concrete

Digital Object Identifier (DOI)

publisher

  • CAMBRIDGE UNIV PRESS

volume

  • 7