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

Güneş B., Karatosun S., Güneş O.

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

  • Publication Type: Article / Article
  • Volume: 362
  • Publication Date: 2023
  • Doi Number: 10.1016/j.conbuildmat.2022.129700
  • Journal Name: Construction and Building Materials
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, CAB Abstracts, Communication Abstracts, INSPEC, Metadex, Veterinary Science Database, Civil Engineering Abstracts
  • Keywords: Non-destructive test, Drilling resistance, Rebound hammer, Ultrasonic pulse velocity, Concrete strength, Regression, Support -vector regression
  • Istanbul Technical University Affiliated: Yes

Abstract

© 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.