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A method and system for predicting lamellar tear resistance of steel used in high-rise buildings

A technology of anti-lamellar tearing and performance prediction, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of friendly interface, easy operation and excellent universality

Inactive Publication Date: 2018-08-10
JIANGSU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the relevant results of such research are rarely reported at home and abroad.

Method used

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  • A method and system for predicting lamellar tear resistance of steel used in high-rise buildings
  • A method and system for predicting lamellar tear resistance of steel used in high-rise buildings
  • A method and system for predicting lamellar tear resistance of steel used in high-rise buildings

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] Taking Q420EZ35 steel for high-rise buildings with a plate thickness of 80mm as an example, the process flow is: hot metal pre-desulfurization→converter smelting→LF refining→RH vacuum degassing→continuous casting on the continuous casting machine (the thickness of the continuous casting slab is 320mm), mainly hot rolling The process parameters are as follows: starting rolling temperature 1050-1150°C, finishing rolling temperature 830-890°C, crimping temperature 510-590°C, continuous casting speed = 0.65m / min, light reduction rate = 1.13mm / m.

[0058] Using MATLAB software to map the relationship between the existing rolling process parameters and lamellar tear resistance ( i = 1, 2, 3, j = 0, 1, 2, ..., k) for PLS calculation, the algorithm steps are as follows.

[0059] Step 1: Relevant process data of rolled samples (≥9), as shown in Table 1.

[0060] Table 1 Sample process parameters and test results

[0061]

[0062] Step 2: Investigate the issue of multiple c...

Embodiment 2

[0084] In order to fully illustrate the universality of the prediction method and system, take Q420D with a plate thickness of 40mm as an example. The process flow is: hot metal pre-desulfurization→converter smelting→LF refining→RH vacuum degassing→continuous casting on No. 3 continuous casting machine (Thickness of continuous casting slab is 220mm), the main process parameters are: starting rolling temperature 980~1080℃, final rolling temperature 830~870℃, crimping temperature 470~550℃, continuous casting speed=1.1m / min, light reduction rate = 1.11 mm / m. The modeling and optimization process and steps are the same as in Example 1.

[0085] Step 1: Relevant process data of rolled samples (≥9), as shown in Table 5.

[0086] Table 5 Sample process parameters and test results

[0087]

[0088] After step 2~step 4 described in embodiment 1, obtain the PLS prediction model of anti-lamellar tearing performance, Q420D high-rise building steel anti-lamellar tearing performance Ψ ...

Embodiment 3

[0096] Taking Q420GJEZ35 with a plate thickness of 60mm as an example, the process flow is: pre-desulfurization of molten iron→converter smelting→LF refining→RH vacuum degassing→continuous casting on No. 3 continuous casting machine (the thickness of the continuous casting slab is 220mm), the main process parameters are : Start rolling temperature 1030-1080°C, finish rolling temperature 840-880°C, coiling temperature 500-550°C, continuous casting speed = 1.1m / min, light reduction rate = 1.11mm / m. The modeling and optimization process and steps are the same as in Example 1.

[0097] Step 1: Relevant process data of rolled samples (≥9), as shown in Table 7.

[0098] Table 7 Sample process parameters and test results

[0099]

[0100] After step 2~step 4 described in embodiment 1, obtain the PLS predictive model of anti-lamellar tearing performance, Q420GJEZ355 high-rise building steel anti-lamellar tearing performance Ψ Z for:

[0101] Ψ Z =0.0211x 1 +0.0901x 2 +0.0697x...

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Abstract

The invention belongs to a prediction method and a system thereof of the lamellar tearing resistance performance of steel used for a high-rise building. The prediction method comprises the following steps: reading the base metal information, the rolling technology parameter and the hot rolling metallographic structure of steel materials to be measured from a database; establishing a PLS (Partial Least-Squares Regression) lamellar tearing resistance performance prediction model, and carrying out the checkout and control of prediction precision to obtain the PLS lamellar tearing resistance performance prediction model with the highest precision; calculating to obtain one group of lamellar tearing resistance performance prediction valuea of a specimen; according to an inverse mapping principle, obtaining an optimal rolling technology scheme corresponding to a maximum prediction value by reverse solution; and utilizing dedicated material image analysis software to carry out image analysis on the [Psi]Zmax specimen hot rolling metallographic structure, and measuring and outputting the average grain size, the ferrite volume ratio and the pearlite volume ratio of the [Psi]Zmax specimen hot rolling metallographic structure. The lamellar tearing resistance performance of the common-use steel used for the high-rise building can be predicted, and an ideal prediction result can be obtained so as to guarantee the optimization of the rolling technology and the control precision of the lamellar tearing resistance performance of the steel used for the high-rise building.

Description

technical field [0001] The invention relates to the technical field of steel preparation for high-rise buildings, in particular to a method and system for predicting the layered tear resistance of steel for high-rise buildings. Background technique [0002] In recent years, with the continuous advancement of urbanization at home and abroad, the number of large and super-large cities with extremely high population density has increased, which has strongly promoted the rapid development of high-rise and super high-rise buildings. High-rise buildings show a continuous increase in maximum height, Safety and seismic performance requirements are higher and other development trends. High-rise buildings have become the development trend of the construction industry, such as the well-known Dubai Tower with 162 floors and a total height of 818 meters at home and abroad, and the Changsha Sky City with 220 floors and a total height of 838 meters (the tallest building in the world, which...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 李新城唐永春朱伟兴罗玉亭刘杰王晓莉薛佳杨健
Owner JIANGSU UNIV
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