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Reliability modeling method and prediction method for stone peak strain at high temperature

A modeling method and reliability technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of lack of distribution and evolution law of peak strain of stone, reduction of structural safety, deterioration of stone mechanical properties, etc. , to achieve the effects of small constraints, strong applicability, and high flexibility

Inactive Publication Date: 2019-07-12
THE ARCHITECTURAL DESIGN & RES INST OF ZHEJIANG UNIV +1
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AI Technical Summary

Problems solved by technology

High temperature will lead to deterioration of the mechanical properties of the stone, thereby reducing the safety of the structure
However, there is still a lack of effective methods to describe and predict the distribution and evolution of the peak strain of stone at high temperatures.

Method used

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  • Reliability modeling method and prediction method for stone peak strain at high temperature
  • Reliability modeling method and prediction method for stone peak strain at high temperature
  • Reliability modeling method and prediction method for stone peak strain at high temperature

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Embodiment 1

[0022] According to the data in Figure 5(a) of the reference "Zhai Songtao, Experimental Research on the Macro-Mesoscopic Properties of Rocks at High Temperatures, Master's Degree Thesis, Shanghai Jiao Tong University, 2013", the stone materials at 20°C, 200°C, 400°C, and 600°C Table 1 shows the measured peak strain values ​​and the calculated Fréchet distribution parameters of the peak strain values ​​of each group of stones under the action of 800 °C and 800 °C.

[0023] According to the data in Table 1, establish the relationship function:

[0024] f x (T)=0,

[0025] f a (T)=1.3361ln(T)-3.0312,

[0026] f s (T)=1.574ln(T)-1.8905.

[0027] Table 1 Measured values ​​of stone peak strain at high temperature (10 -3 ) and the calculated Fréchet distribution parameters

[0028]

[0029] According to the relationship function obtained from the above steps, the reliability R corresponding to the peak strain ε of the stone obtained under the action of temperature T is:

...

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Abstract

The invention discloses a reliability modeling method and a prediction method for stone peak strain at high temperature. The stone is widely applied to the field of constructional engineering, and thehigh-temperature performance of the stone is very important for the safety of a building structure under fire. In addition, in the geological environment of projects such as deep resource mining, underground coal gasification, geothermal resource development and high-radioactivity nuclear waste storage, the rock engineering structure may experience a certain degree of high temperature. And the high temperature can cause the mechanical property of the stone to be degraded, so that the structural safety is reduced. According to the method, a Frechet distribution function is innovatively adoptedto describe the distribution law of the measured values of the stone peak strain. The reliability modeling method and the prediction method for the stone peak strain at the high temperature are invented, and technical support is provided for damage evaluation and prediction of the stone under the high temperature effect in building structures and rock engineering.

Description

technical field [0001] The invention patent belongs to the technical field of stone performance evaluation and prediction. Background technique [0002] Stone is widely used in the field of construction engineering, and its high temperature performance is very important for the safety of building structures under fire. In addition, in the geological environment of deep resource mining, underground coal gasification, geothermal resource development, and high-radioactive nuclear waste storage, rock engineering structures may experience a certain degree of high temperature. High temperature will lead to deterioration of the mechanical properties of stone, thereby reducing the safety of the structure. However, there is still a lack of effective methods to describe and predict the distribution and evolution of the peak strain of stone at high temperatures. Therefore, a reliability modeling method and prediction method for peak strain of stone at high temperature was invented, w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 余靖江帆黄博滔陈伟刘若斐
Owner THE ARCHITECTURAL DESIGN & RES INST OF ZHEJIANG UNIV
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