Application of Neural Networks for Predicting the Workability of Self-Compacting Concrete
نویسندگان
چکیده
منابع مشابه
Relation between the Workability and Strength of Self-compacting Concrete
This paper presents the results of an experimental research on the workability and compressive strength of self-compacting concrete. The work focused on concrete mixes having water/binder ratios of 0.35 and 0.45, which contained constant total binder contents of 500 kg/m and 400 kg/m, respectively. The concrete mixes contained four different dosages of a superplasticizer based on carboxylic wit...
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In this study, first, different mix design of four types of Self-Compacting Concrete (SCC), 1. SCC consisted of only nanosilica, 2. SCC included only microsilica, 3. SCC consisted of both microsilica and nanosilica and 4. SCC without microsilica and nanosilica called as control mix, were casted and tested to find out the values of the Slump Flow, L-Box and 7 and 28 days compressive strength. Th...
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Due to growing environmental concerns of the cement industry, alternative cement technologies have become an area of increasing interest. It is now believed that new binders are indispensable for enhanced environmental and durability performance. Self-compacting Geopolymer concrete is an innovative method and improved way of concreting operation that does not require vibration for placing it an...
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هدف اصلی نرخ گذاری بیمه ای تعیین نرخ عادلانه و منطقی از دیدگاه بیمه گر و بیمه گذار است. تعین نرخ یکی از مهم ترین مسایلی است که شرکتهای بیمه با آن روبرو هستند، زیرا تعیین نرخ اصلی ترین عامل در رقابت بین شرکتها است. برای تعیین حق بیمه ابتدا می باید مقدار مورد انتظار ادعای خسارت برای هر قرارداد بیمه را برآورد کرد. روش عمومی مدل سازی خسارتهای عملیاتی در نظر گرفتن تواتر و شدت خسارتها می باشد. اگر شر...
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ژورنال
عنوان ژورنال: Journal of Scientific Research and Reports
سال: 2013
ISSN: 2320-0227
DOI: 10.9734/jsrr/2013/4027