SUBAŞI, Serkan Düzce Üniversitesi - Teknik Eğitim Fakültesi - Yapı Eğitimi Bölümü, Turkey , BEYCİOĞLU, Ahmet Düzce Üniversitesi - Kaynaşlı Meslek Yüksekokulu - Yapı Ressamlığı Bölümü, Turkey , ÇULLU, Mustafa Gümüşhane Üniversitesi - Mühendislik Fakültesi - İnşaat Mühendisliği Bölümü, Turkey , ÇULLU, Mustafa Düzce Üniversitesi - Teknik Eğitim Fakültesi - Yapı Eğitimi Bölümü, Turkey

PREDICTION OF COMPRESSIVE STRENGTH ON REVIBRATED CONCRETE USING FUZZY LOGIC AND STATISTICAL BASED METHODS

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The purpose of this study is to develop two different prediction models based on regression analysis and fuzzy logic for prediction of compressive strength of concrete samples which were subjected to vibration for different amount of time. For this study, a total of 50 cubic samples in C 16 class were prepared. The sample sizes were 15x15x15 cm. After applying 10 second initial vibration to all samples, they were grouped in to tens. Later, 30, 60, 90 and 120 second vibrations were applied to four different groups of samples. The samples in the last group were left unvibrated. On the 28th days, unit weights and compressive strengths of the samples were measured. Using these measurements, two prediction models were developed. With these newly developed regression analysis and fuzzy logic models, compressive strength values were predicted in relation to unit weight and vibration time. The results obtained from the prediction models were compared to the results obtained from the tests and prediction performances of the new models were evaluated comparatively. The results showed that compressive strength of concrete can be predicted using fuzzy logic and multiple linear regression models. Moreover, it has been observed that fuzz logic model can predict concrete compressive strength with less amount of error compared to the multiple-linear regression model.

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Revibrated , Fuzzy logic , Regression , Concrete density , Compressive strength

Sdu International Technologic Science

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