Drilling resistance testing combined with SonReb methods for nondestructive estimation of concrete strength


Güneş B., Karatosun S., Güneş O.

Construction and Building Materials, cilt.362, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 362
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.conbuildmat.2022.129700
  • Dergi Adı: Construction and Building Materials
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, CAB Abstracts, Communication Abstracts, INSPEC, Metadex, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Non-destructive test, Drilling resistance, Rebound hammer, Ultrasonic pulse velocity, Concrete strength, Regression, Support -vector regression
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

© 2022 Elsevier LtdThis study explores a drilling-based test methodology for nondestructive estimation of in-situ concrete strength. An experimental campaign has been carried out to develop a relationship between the drilling-resistance parameter, DR, and compressive strength of concrete. Rebound hammer (RH) and ultrasonic pulse velocity (UPV) tests were also performed and multivariate regression models complementing DR with RH and UPV data have been developed. A machine learning approach utilizing support vector machines (SVM) was implemented. The experimental data support that combined usage of DR with UPV and/or RH provides a robust tool for compressive strength prediction. Even with the limited data available, the support vector regression model shows promising performance.