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Neural Computing and Applications

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01.05.2013 | Original Article

Rule-based Mamdani type fuzzy logic model for the prediction of compressive strength of silica fume included concrete using non-destructive test results

verfasst von: Serkan Subaşı, Ahmet Beycioğlu, Emre Sancak, İbrahim Şahin

Erschienen in: Neural Computing and Applications | Ausgabe 6/2013

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Abstract

In this study, a fuzzy logic model for predicting compressive strength of concretes containing silica fume (SF) (0, 5, 10%) has been developed using non-destructive testing results [ultrasonic pulse velocity (km/s) and Schmidt hardness (R)]. Experimental results of non-destructive tests and the amount of the SF were used to construct the model. Result have shown that fuzzy logic systems have strong potential for predicting 7, 28, and 90 days compressive strength using ultrasonic pulse velocity (km/s), Schmidt hardness (R), and silica fume content (%) as inputs.

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Titel: Rule-based Mamdani type fuzzy logic model for the prediction of compressive strength of silica fume included concrete using non-destructive test results
verfasst von: Serkan Subaşı
Ahmet Beycioğlu
Emre Sancak
İbrahim Şahin
Publikationsdatum: 01.05.2013
Verlag: Springer-Verlag
Erschienen in: Neural Computing and Applications / Ausgabe 6/2013
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-012-0879-4

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