Abstract
Ultimate moment capacity of the reinforced concrete slab is fairly affected by high temperatures. In this study, the prediction model using neuro-fuzzy to predict the ultimate moment capacity of reinforced concrete slabs in fire is investigated. The calculated moment capacity of reinforced concrete slabs in fire is estimated by ANFIS (Adaptive Neuro-Fuzzy Inference System) model and the prediction capacity of evaluated ANFIS model is investigated. Some of obtained data set was used in the training and some of data were used in the testing phase. The results obtained shows that considered neuro-fuzzy model is able to predict ultimate moment capacity of reinforced concrete slabs in fire.
Abstract
Betonarme dö?emelerin ta?yma gücü moment kapasiteleri yüksek sycaklyktan oldukça etkilenmektedir. Bu çaly?mada, bulanyk sinir a?y kullanylarak yangyna maruz betonarme dö?emelerin ta?yma gücü moment kapasitelerinin belirlenebilmesi için bir tahmin modeli ara?tyrylmy?tyr. Yangyna maruz betonarme dö?emelerin hesaplanmy? olan moment kapasiteleri ANFIS (Adaptive Neuro-Fuzzy Inference System) modeli ile tahmin edilmi? ve geli?tirilen ANFIS modelinin tahmin etme kapasitesi ara?tyrylmy?tyr. Elde edilen verilerin bir kysmy e?itim a?amasynda, bir kysmy ise test a?amasynda kullanylmy?tyr. Ula?ylan sonuçlar, kurulan bulanyk sinir a?y modelinin yangyna maruz betonarme dö?emelerin e?ilme kapasitesini tahmin etme kabiliyetini ortaya koymaktadyr.
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Details
| Primary Language | Turkish |
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| Journal Section | Computer Engineering |
| Authors | |
| Publication Date | March 1, 2011 |
| Published in Issue | Year 2011 Volume: 6 Issue: 2 |