Predicting the moment capacity of RC slabs with insulation materials exposed to fire by ANN
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Techno Press
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Slabs prevent harmful effects of fire that may occur in any floor. However, it is necessary to protect the slabs from fire. Insulation materials may be appropriate to protect reinforced concrete (RC) slab from elevated temperature. In the present study, a model has been developed in artificial neural network (ANN) to predict the moment capacity (M r ) of RC slabs exposed to fire with insulation material. 672 data were obtained for ANN model through author's prepared program. Input layer in model consisted of seven input parameters; such as effective depth (d), ratio of d’/d, thermal conductivity coefficient (k insulation ), insulation materials thickness (L insulation ), reinforcement area (A st ), fire exposure time (t exp ), and concrete compressive strength (f c ). The predicted M r by ANN was consistent with the obtained M r by author. It is proposed to ease computational complexity in determining M r using ANN. The effects of using insulation material on the moment capacity in RC slabs were also investigated. Insulating material with low thermal conductivity has been found to be more effective for durability to high temperature. Copyright © 2017 Techno-Press, Ltd.
Açıklama
Anahtar Kelimeler
Artificial neural network, Fire, Insulation material, Moment capacity, Reinforced concrete, Slab
Kaynak
Structural Engineering and Mechanics
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
64
Sayı
3
