OPTIMIZATION OF THE MIX DESIGN OF STYROFOAM LIGHT WEIGHT CONCRETE USING ORTHOGONAL ARRAYS AND NEURAL NETWORKS
Amr Hamdy Mohamed Shawat;
Abstract
This research aims at creating a mathematical model for optimizing the mix proportions of extruded polystyrene Styrofoam aggregate concrete. This was achieved by an experimental program based on the application of orthogonal arrays to create a signal-to-noise ratio analysis that investigates the effects of 10 mixing parameters on 6 fresh and mechanical properties. The data is used to train and verify an artificial neural network that predicts the resultant properties of any given concrete mix within its operational parameters.
Other data
| Title | OPTIMIZATION OF THE MIX DESIGN OF STYROFOAM LIGHT WEIGHT CONCRETE USING ORTHOGONAL ARRAYS AND NEURAL NETWORKS | Other Titles | تحقيق الأمثلية فى تصميم خلطات الخرسانة خفيفة الوزن ذات ركام الستايروفوم باستخدام المصفوفات المتعامده و الشبكات العصبية الصناعية | Authors | Amr Hamdy Mohamed Shawat | Issue Date | 2020 |
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