دانلود مقاله ISI انگلیسی شماره 152953
ترجمه فارسی عنوان مقاله

تجزیه و تحلیل ریسک آتش سوزی متمرکز بر خسارت پوشش تونل است

عنوان انگلیسی
Fire risk analysis focused on damage of the tunnel lining
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
152953 2018 15 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Fire Safety Journal, Volume 95, January 2018, Pages 51-65

ترجمه کلمات کلیدی
خطر، جریان ترافیک، فوران ناشی از آتش، بتن، پوشش تونل، خسارت،
کلمات کلیدی انگلیسی
Risk; Traffic flow; Fire-induced spalling; Concrete; Tunnel lining; Damage;
پیش نمایش مقاله
پیش نمایش مقاله  تجزیه و تحلیل ریسک آتش سوزی متمرکز بر خسارت پوشش تونل است

چکیده انگلیسی

In this paper, risk is calculated as the probable damage caused by a fire in the tunnel lining. The model is intended to be as simple as possible and still able to reflect the reality. In the first part, focused on probabilistic modeling, the traffic flow is described as a stationary Markov chain of joint states consisting of a combination of trucks/buses (TB) and passenger cars (PC) from adjoining lanes. The heat release rate is then taken for a measure of the fire power and two probability mass functions of this variable are suggested for one TB and two TBs, respectively. The intensity λf reflecting the frequency of fires was assessed based on extensive studies carried out in Austria [15] and Italy [16,17]. Eventually, the traffic density AADT, the length of the tunnel L, the percentage of TBs, and the number of lanes are the remaining parameters characterizing the traffic flow. In the second part, a special combination of models originally proposed by Bažant and Thonguthai [28], and Künzel & Kiessl [29] for the description of transport processes in concrete at very high temperatures creates a basis for the prediction of the thickness of the spalling zone and the volume of concrete degraded by temperatures that exceeded a certain temperature level θ¯. The model was calibrated by fitting its parameters against a macroscopic test on concrete samples placed into the furnace. Though effective and easy to apply, there is room for the model as a whole to be gradually improved. These possibilities are outlined in conclusions.