Search Results - "Safa, Nayır"

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  1. 1

    Long-Term Efficiency of Silica Fume in Terms of Sulfate Resistance of Concrete Immersed in Sulfate Solutions and Seawater by Şakir, Erdoğdu, Şirin, Kurbetci, Safa, Nayır

    “…This study aims to assess the long-term efficiency of silica fume used in the production of concrete exposed to sulfate solutions and seawater. The sulfate…”
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    Journal Article
  2. 2

    Experimental assessment of FRP repairing in concrete cylinders exposed high temperatures by Akbulut, Yunus Emrahan, Nayır, Safa, Altunışık, Ahmet Can, Kahya, Volkan, Sünnetci, Muhammet Oğuz, Ersoy, Hakan

    Published in Case Studies in Construction Materials (01-12-2024)
    “…This study presents an experimental evaluation of fiber-reinforced polymer (FRP) strengthening in concrete specimens damaged by exposure to high temperatures…”
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    Journal Article
  3. 3

    Machine learning based prediction of compressive and flexural strength of recycled plastic waste aggregate concrete by Yılmaz, Yılmaz, Nayır, Safa

    Published in Structures (Oxford) (01-11-2024)
    “…In the last 50 years, the use of plastics has increased significantly due to advances in technology, population growth and increasing needs. However, this…”
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    Journal Article
  4. 4

    Investigation of Global Warming Potential of Concrete with Silica Fume and Blast Furnace Slag by Nayır, Safa, Bahadır, Ümit, Toğan, Vedat

    “…Building materials in the construction industry, particularly concrete and cement, are one of the parameters that cause an increase in global CO 2 emissions…”
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    Journal Article
  5. 5

    Evaluation of structural lightweight concrete in terms of energy performance: A case study by Nayır, Safa, Bahadır, Ümit, Erdoğdu, Şakir, Toğan, Vedat

    “…In this study, it is aimed to produce structural lightweight concrete (SLWC) containing pumice aggregate and to evaluate its contribution to energy…”
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    Journal Article
  6. 6

    Automatic Estimation of Post-fire Compressive Strength Reduction of Masonry Structures Using Deep Convolutional Neural Network by Hacıefendioğlu, Kemal, Genç, Ali Fuat, Nayır, Safa, Ayas, Selen, Altunışık, Ahmet Can

    Published in Fire technology (01-09-2022)
    “…A deep learning-based image processing study was carried out to predict the post-fire safety of historical masonry structures. For this purpose, andesite stone…”
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    Journal Article
  7. 7