Artificial neural network modelling for asphalt concrete samples with boron waste modification
المؤلفون المشاركون
Karacasu, Murat
Kiskin, Mustafa
المصدر
Journal of Engineering Research
العدد
المجلد 10، العدد 4 B (31 ديسمبر/كانون الأول 2022)، ص ص. 26-45، 20ص.
الناشر
جامعة الكويت مجلس النشر العلمي
تاريخ النشر
2022-12-31
دولة النشر
الكويت
عدد الصفحات
20
التخصصات الرئيسية
الملخص EN
Civil engineering science has evolved into the 21st century with concepts of recycling and sustainability.
create sustainable habitats by evaluating waste materials in building materials is one of the most important goals of this century.
this study aims to eliminate the boron waste dunes that have occurred and continue to occur in turkey, which has the world's largest boron reserves by using in road materials.
solid boron wastes obtained from the field were crushed and added to asphalt samples in certain ratios, and the effect of crushed boron waste (CBW) on asphalt samples was investigated.
as a result of marshall design method, it has been proved that boron wastes can be used in asphalt concrete within the specification limits.
besides, an artificial neural network (ANN) model was created for the evaluation of obtained data.
as a result of marshall design method, it has been proved that boron wastes can be used in asphalt concrete within the specification limits.
furthermore, regarding the examination of modelling and statistical analysis, the mechanical performance of asphalt concrete samples with and without CBW addition has been predicted in a noticeable manner.
as a result of regression analysis, training and test sets r2 values are reached 0.95–0.91 for stability and 0.91–0.87 for flow values.
finally, a simulation was prepared with the created model, and the effect of boron wastes on asphalt samples was examined in more detail.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kiskin, Mustafa& Karacasu, Murat. 2022. Artificial neural network modelling for asphalt concrete samples with boron waste modification. Journal of Engineering Research،Vol. 10, no. 4 B, pp.26-45.
https://search.emarefa.net/detail/BIM-1494617
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kiskin, Mustafa& Karacasu, Murat. Artificial neural network modelling for asphalt concrete samples with boron waste modification. Journal of Engineering Research Vol. 10, no. 4 B (Dec. 2022), pp.26-45.
https://search.emarefa.net/detail/BIM-1494617
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kiskin, Mustafa& Karacasu, Murat. Artificial neural network modelling for asphalt concrete samples with boron waste modification. Journal of Engineering Research. 2022. Vol. 10, no. 4 B, pp.26-45.
https://search.emarefa.net/detail/BIM-1494617
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 43-45
رقم السجل
BIM-1494617
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