Deflection Prediction of No-Fines Lightweight Concrete Wall Using Neural Network Caused Dynamic Loads
نویسندگان
چکیده
منابع مشابه
MODELING FLEXURAL STRENGTH OF EPS LIGHTWEIGHT CONCRETE USING REGRESSION, NEURAL NETWORK AND ANFIS
Lightweight concrete (LWC) is a kind of concrete that made of lightweight aggregates or gas bubbles. These aggregates could be natural or artificial, and expanded polystyrene (EPS) lightweight concrete is the most interesting lightweight concrete and has good mechanical properties. Bulk density of this kind of concrete is between 300-2000 kg/m3. In this paper flexural strength of EPS is modeled...
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prediction of load deflection behaviour of two way rc slab using neural network approach
reinforced concrete (rc) slabs exhibit complexities in their structural behavior under load due to the composite nature of the material and the multitude and variety of factors that affect such behavior. current methods for determining the load-deflection behavior of reinforced concrete slabs are limited in scope and are mostly dependable on the results of experimental tests. in this study, an ...
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ژورنال
عنوان ژورنال: Buildings
سال: 2018
ISSN: 2075-5309
DOI: 10.3390/buildings8040062