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Prediction of mechanical properties of reactive powder concrete by using artificial neural network and regression technique after the exposure to fire flame
المؤلف
المصدر
Jordan Journal of Civil Engineering
العدد
المجلد 9، العدد 3 (30 سبتمبر/أيلول 2015)، ص ص. 381-399، 19ص.
الناشر
جامعة العلوم و التكنولوجيا الأردنية عمادة البحث العلمي
تاريخ النشر
2015-09-30
دولة النشر
الأردن
عدد الصفحات
19
التخصصات الرئيسية
الموضوعات
الملخص EN
An experimental work was carried out to investigate some mechanical properties of Reactive Powder Concrete (RPC) which are particularly required as input data for structural design.
These properties include compressive strength, flexural strength, tensile strength and static modulus of elasticity.
A combined laboratory and modeling study was undertaken to develop a database of the estimation ability of the effects of exposure to real fire flame on the mechanical properties of reactive powder concrete using 2 different models: artificial neural network (ANN) and regression techniques.
Experimental results were used in the estimation models.
After being subjected to high temperatures from 200 to 500°C, the residual mechanical properties were determined, and RPC was considerably spalled under high temperature.
Exposing to high temperatures from 200 to 400°C, mechanical properties were enhanced more or less, which can be attributed to further hydration of cementitious materials activated by elevated temperature.
It was found that RPC can be used at elevated temperatures up to 300°C for heating times up to 1 hour, taking into consideration the loss of strength.
Finally, prediction performances of reactive powder concrete single and multiple variable regression equations were developed, and ANN was compared.
According to this comparison, best prediction performance which belongs to ANN was improved.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kazim, Muhammad Jawad Hadi. 2015. Prediction of mechanical properties of reactive powder concrete by using artificial neural network and regression technique after the exposure to fire flame. Jordan Journal of Civil Engineering،Vol. 9, no. 3, pp.381-399.
https://search.emarefa.net/detail/BIM-587891
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kazim, Muhammad Jawad Hadi. Prediction of mechanical properties of reactive powder concrete by using artificial neural network and regression technique after the exposure to fire flame. Jordan Journal of Civil Engineering Vol. 9, no. 3 (2015), pp.381-399.
https://search.emarefa.net/detail/BIM-587891
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kazim, Muhammad Jawad Hadi. Prediction of mechanical properties of reactive powder concrete by using artificial neural network and regression technique after the exposure to fire flame. Jordan Journal of Civil Engineering. 2015. Vol. 9, no. 3, pp.381-399.
https://search.emarefa.net/detail/BIM-587891
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 398-399
رقم السجل
BIM-587891
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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