FUZZY LOGIC MODEL FOR PREDICTION OF COMPRESSIVE STRENGTH OF CONCRETE BY USE OF NON-DESTRUCTIVE TEST RESULTS


Baykan U. N. , ERDAL M., Ugur L. O.

REVISTA ROMANA DE MATERIALE-ROMANIAN JOURNAL OF MATERIALS, vol.47, no.1, pp.54-59, 2017 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 47 Issue: 1
  • Publication Date: 2017
  • Journal Name: REVISTA ROMANA DE MATERIALE-ROMANIAN JOURNAL OF MATERIALS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.54-59
  • Keywords: Non-destructive testing, Concrete, Fuzzy logic, Compressive strength, Statistical Modelling, ARTIFICIAL NEURAL-NETWORKS, LIGHTWEIGHT CONCRETE, SCHMIDT HAMMER, BOND STRENGTH
  • Gazi University Affiliated: Yes

Abstract

In this study, a fuzzy logic prediction model for compressive strength of concrete was developed based on various nondestructive tests, such as Windsor Probe Penetration Test, Ultrasonic Pulse Velocity and Schmidt Hammer. Experimental results of non-destructive tests were used to construct the fuzzy logic model. The obtained results with fuzzy logic were compared with the multiple linear regression model and experimental values. It was observed that, non-destructive tests' determination abilities were increased by using fuzzy logic. Results have shown that, fuzzy logic systems have strong potential for predicting 28 days compressive strength using Windsor Probe Penetration value, Ultrasonic Pulse Velocity and Schmidt Hammer rebound as inputs variables.