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

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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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Authors and Affiliations

  1. Civil Engineering Department, Technology Faculty, Düzce University, Düzce, Turkey

    Serkan Subaşı

  2. Construction Department, Düzce University Kaynaşlı Vocational School, Kaynaşlı, Düzce, Turkey

    Ahmet Beycioğlu

  3. Civil Engineering Department, Technology Faculty, Süleyman Demirel University, Isparta, Turkey

    Emre Sancak

  4. Electronics and Computer Department, Technical Education Faculty, Düzce University, Düzce, Turkey

    İbrahim Şahin

Authors
  1. Serkan Subaşı
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  2. Ahmet Beycioğlu
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  3. Emre Sancak
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  4. İbrahim Şahin
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Correspondence to Ahmet Beycioğlu.

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Subaşı, S., Beycioğlu, A., Sancak, E. et al. Rule-based Mamdani type fuzzy logic model for the prediction of compressive strength of silica fume included concrete using non-destructive test results. Neural Comput & Applic 22, 1133–1139 (2013). https://doi.org/10.1007/s00521-012-0879-4

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  • DOI: https://doi.org/10.1007/s00521-012-0879-4

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