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العنوان
Properties of Foamed Concrete Containing Glass Powder \
المؤلف
Ismail, Ahmed Saad.
هيئة الاعداد
باحث / أحمد سعد إسماعيل محمود
مشرف / السيد عبد الرؤوف عبد القادر نصر
مشرف / محمد كحيل محمد فايز
مشرف / محمود جلال محمد
تاريخ النشر
2022.
عدد الصفحات
108 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة المدنية والإنشائية
تاريخ الإجازة
1/1/2022
مكان الإجازة
جامعة عين شمس - كلية الهندسة - الهندسة الإنشائية
الفهرس
Only 14 pages are availabe for public view

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Abstract

Due to its superior characteristics, foamed concrete draws the attention in field of construction. It promotes the concept of sustainability by improving the energy efficiency of building materials and reducing the overall buildings weight. Consequently, the need of polluting cement industry is reduced. In addition, it serves great role in eliminating many by-products of other industries such as marble powder, fly ash and silica fume.
Despite the aforementioned great characteristics, foamed concrete suffers some deficiencies. For instance, its low compressive strength restricts its use in many applications and limits it to the architectural applications. Therefore, improving compressive strength is direly needed.
This study aims to investigate the influence of replacing cement by fine glass powder. Three densities of 400, 600 and 800 kg/m3 have been designed. Cement was replaced by glass powder by percentages of 5, 10 and 15%. Compressive strength, shrinkage, water absorption and alkali silica reaction (ASR) were investigated.
The results demonstrated that replacing cement by glass powder improved the properties of foamed concrete. Replacing cement by glass powder by 10% yielded about 9 to 14% improvement for compressive strength. On other hand, the replacement by 15% improved shrinkage and water absorption by about 38 and 25%, respectively. (ASR) resulted in expansive products which are enclosed in the voids of foamed concrete.
A reliable model was obtained for foamed concrete containing glass powder by using regression analysis for compressive strength predictions. The model demonstrated good agreement with the results.