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Computers and Concrete
  Volume 6, Number 2, April 2009 , pages 155-165
DOI: https://doi.org/10.12989/cac.2009.6.2.155
 


Clustering-based identification for the prediction of splitting tensile strength of concrete
Bulent Tutmez

 
Abstract
    Splitting tensile strength (STS) of high-performance concrete (HPC) is one of the important mechanical properties for structural design. This property is related to compressive strength (CS), water/ binder (W/B) ratio and concrete age. This paper presents a clustering-based fuzzy model for the prediction of STS based on the CS and (W/B) at a fixed age (28 days). The data driven fuzzy model consists of three main steps: fuzzy clustering, inference system, and prediction. The system can be analyzed directly by the model from measured data. The performance evaluations showed that the fuzzy model is more accurate than the other prediction models concerned.
 
Key Words
    compressive strength; splitting tensile strength; water/binder ratio; fuzzy clustering; modelling.
 
Address
Bulent Tutmez: School of Engineering, Inonu University, 44280 Malatya, Turkey
 

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