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Method for assessing collapse probability of steel structure in fire

A steel structure and fire technology, which is applied in the field of steel structure collapse probability assessment based on Latin hypercube sampling, can solve problems such as neglect, and achieve the effects of many calculation steps, convenient implementation, and simple method steps

Inactive Publication Date: 2017-05-31
CHINA UNIV OF MINING & TECH
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Problems solved by technology

However, most of the existing collapse risk assessment methods use certain fire scenarios to analyze the collapse probability of structures, ignoring the influence of the uncertainty of random factors in real fires on the collapse probability of structures

Method used

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  • Method for assessing collapse probability of steel structure in fire
  • Method for assessing collapse probability of steel structure in fire
  • Method for assessing collapse probability of steel structure in fire

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Embodiment Construction

[0044] Such as figure 1 As shown, a steel structure collapse probability assessment method in a fire of the present invention comprises the following steps:

[0045] Step 1. Determining the probability distribution function of random factors: According to the statistical laws followed by the randomness of building fires in high and large spaces, the random factors and their distribution functions of fires in buildings are determined through on-site investigations or data query methods. Then construct the probability distribution function of the random factor.

[0046] Step 2. Design random fire scenarios: use the Latin hypercube method to perform Latin hypercube sampling on the random factors, and use the probability density function to describe the uncertainty of the random factors, so as to determine all the random fire scene groups that may occur in building fires , after the statistical analysis of the output results of the model, the statistical characteristics of the ou...

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Abstract

The invention discloses a method for assessing collapse probability of a steel structure in a fire. The method includes steps: 1, determining a probability distribution function of random factors; 2, designing a random fire scene; 3, building a steel structure instability probability model; 4, determining steel structure collapse critical temperature; 5, calculating a temperature field of a large-span steel structure component in a natural fire: 501, building a steel structure heat balance equation; 502, calculating net absorption heat of the steel structure; 503, calculating temperature rise of the steel structure; 6, determining failure probability of the steel structure component. The method is simple in step, reasonable in design, convenient to realize, good in using effect and high in universality, can realize assessment on collapse probability of the steel structure in the fire and makes up the defect that influence of fire randomness is not taken into consideration in existing steel structure collapse probability assessment methods.

Description

technical field [0001] The invention belongs to the technical field of steel structure collapse risk assessment, in particular to a steel structure collapse probability assessment method based on Latin hypercube sampling. Background technique [0002] The long-span steel structure has excellent mechanical properties and convenient construction technology, and is an ideal choice for building tall and large space buildings. However, this type of building has poor fire resistance, and once a fire breaks out, it will cause serious casualties and property losses. Therefore, scientifically assessing the collapse risk of steel structure buildings in large spaces is very important for fire rescue and emergency command in fires. However, most of the existing collapse risk assessment methods use certain fire scenarios to analyze the collapse probability of structures, ignoring the influence of the uncertainty of random factors in real fires on the collapse probability of structures. ...

Claims

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Application Information

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IPC IPC(8): G06Q50/08G06Q10/06G06F17/50
CPCG06F30/13G06Q10/0635G06Q50/08
Inventor 张国维赵永昌朱国庆陶海军潘荣亮孟庆璇于淼淼黄迪
Owner CHINA UNIV OF MINING & TECH
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