Predicting Compressive and Splitting Tensile Strengths of Silica Fume Concrete Using M5P Model Tree Algorithm

  • Hammad Ahmed Shah
  • , Moncef L. Nehdi
  • , Muhammad Imtiaz Khan
  • , Usman Akmal
  • , Hisham Alabduljabbar
  • , Abdullah Mohamed
  • , Muhammad Sheraz

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Fingerprint

Dive into the research topics of 'Predicting Compressive and Splitting Tensile Strengths of Silica Fume Concrete Using M5P Model Tree Algorithm'. Together they form a unique fingerprint.

Engineering

Material Science