Prediction of the Strength Properties of Carbon Fiber-Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine
المؤلف
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-01-31
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
The artificial neural network and support vector machine were used to estimate the compressive strength and flexural strength of carbon fiber-reinforced lightweight concrete with the silica fume exposed to the high temperature.
Cement was replaced with three percentages of silica fumes (0%, 10%, and 20%).
The carbon fibers were used in four different proportions (0, 2, 4, and 8 kg/m3).
The specimens of each concrete mixture were heated at 20°C, 400°C, 600°C, and 800°C.
After this process, the specimens were subjected to the strength tests.
The amount of cement, the amount of silica fumes, the amount of carbon fiber, the amount of aggregates, and temperature were selected as the input variables for the prediction models.
The compressive and flexural strengths of the lightweight concrete were determined as the output variables.
The model results were compared with the experimental results.
The best results were achieved from the artificial neural network model.
The accuracy of the artificial neural network model was found at 99.02% and 96.80%.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tanyildizi, Harun. 2018. Prediction of the Strength Properties of Carbon Fiber-Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine. Advances in Civil Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1116123
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tanyildizi, Harun. Prediction of the Strength Properties of Carbon Fiber-Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine. Advances in Civil Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1116123
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tanyildizi, Harun. Prediction of the Strength Properties of Carbon Fiber-Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine. Advances in Civil Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1116123
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1116123
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر