基于火災隨機性的高大空間煙氣溫升研究
[Abstract]:As an important architectural form, tall space architecture is widely used in architectural design, such as waiting hall, terminal building, auditorium and so on. It has large scale, high space, special structure and high fire risk. New requirements are put forward for fire prevention and rescue. Fire smoke temperature rise will affect the building structure safety, personnel evacuation, fire rescue and so on, and the fire development is a process of certainty and randomness, but its randomness is not random and irregular. The random factors in the process of fire development generally follow a certain statistical law. Therefore, it is of great practical significance to study the smoke temperature rise of tall space buildings under the action of fire randomness. In this paper, the influence of various factors on flue gas temperature rise in large space was studied by means of variance analysis. The results show that the most significant factor affecting the flue gas temperature in large space is the power of the fire source. In the randomness analysis, the randomness of the parameters affecting the power of the fire source should be emphasized. Based on the theory of fire dynamics and solid fire experiments, the characteristics of flue gas temperature rise in large space are studied. The experimental results show that the temperature fluctuation in the flame zone is greater than that in the plume zone, and the buoyancy plume region increases with the plume height. The temperature is decreasing gradually. In the roof jet area, with the space point far away from the central line of the fire source, the flue gas temperature shows a decreasing trend, with obvious non-uniform distribution characteristics. At the same time, according to the experimental results, the applicability of parameterized temperature rise model in predicting fire smoke temperature rise in large space is verified. In the analysis of the randomness of temperature rise in large space, the parameters affecting temperature rise are divided into deterministic parameters and random parameters, and the probability density function of random parameter distribution is studied. Through investigation and investigation, the normal distribution of fire load density clothing for tall and large space buildings of station type is obtained. Through the reference and analysis of data, the uniform distribution of material flammability coefficient, the logarithmic normal distribution of fire overfire area and fire growth coefficient clothing are obtained. According to the probability distribution of random parameters, the random scene group is determined by Latin hypercube sampling method. The maximum heat release rate, the equivalent diameter of the fire source, the mean value and standard deviation of the highest temperature rise in the center line of the fire source are analyzed. Probability density (PDF), cumulative probability (CDF) et al. The logarithmic normal distribution of the highest temperature rising clothes of the central line of the fire source, the logarithmic mean 5.8697 and the logarithmic standard deviation of 0.31396 are obtained. The probability density function of the highest temperature rise of the central line of the fire source is obtained by fitting. The probability distribution of maximum temperature rise of flue gas at different distances from the central line of fire source is studied by sampling analysis. The maximum temperature rise probability density function is obtained by fitting the logarithmic normal distribution of maximum temperature rise. The application of probability distribution of flue gas temperature rise in building fire safety evaluation is illustrated by case analysis. According to the critical temperature criterion, the failure probability of steel structure members in large space is analyzed, and the failure probability of steel structure members in the case is obtained. In order to conveniently calculate and analyze the probability distribution of flue gas temperature rise in buildings with different area, height and fire load, a program of "smoke temperature rise and structural failure analysis based on the randomness of fire" was developed.
【學位授予單位】:中國礦業(yè)大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TU998.1;TU834
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