| Yazarlar (2) |
Prof. Dr. Mahmut BİLGEHAN
İstanbul Arel Üniversitesi, Türkiye |
Ahmet Emin Kurtoğlu
İstanbul Gelişim Üniversitesi, Türkiye |
| Özet |
| Reinforced concrete slabs, just as the other structural elements, are highly affected by the high temperatures. Due to the decrease in strength of reinforced concrete members under high temperature, bearing moment capacity of reinforced concrete slabs also decreases. In this study, a prediction model is investigated in order to determine the bearing moment capacities of reinforced concrete slabs under high temperature. Pre-calculated moment capacities of slabs exposed to fire are predicted by the implementation of adaptive neuro-fuzzy inference system (ANFIS) and the prediction performance of ANFIS model is investigated. The bending capacities of slabs with different concrete characteristics and different times of exposure are calculated. High temperature resulting from the duration of fire exposure is calculated as a function of time in accordance with ISO 834. The temperature distribution inside the … |
| Anahtar Kelimeler |
| High temperature,Fire,Reinforced concrete slabs,Bearing capacity,Adaptive neuro-fuzzy inference system |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | Neural Computing and Applications |
| Dergi ISSN | 0941-0643 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Makale Dili | İngilizce |
| Basım Tarihi | 05-2016 |
| Cilt No | 27 |
| Sayı | 4 |
| Sayfalar | 869 / 881 |
| Doi Numarası | 10.1007/s00521-015-1902-3 |
| Makale Linki | http://link.springer.com/10.1007/s00521-015-1902-3 |
