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Rust steel simulation method based on surface random roughness

A simulation method and roughness technology, applied in 3D modeling, complex mathematical operations, instruments, etc., can solve the problems of limited application range, ignoring the overall rust characteristics of the rusted surface, etc.

Pending Publication Date: 2022-07-15
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

The reverse modeling method based on actual measurement is only suitable for simulating the scanned object or area, and its application range is limited; the hole-digging modeling method mostly simplifies the corrosion hole into a regular circle or ellipse, ignoring the overall corrosion characteristics of the corrosion surface

Method used

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  • Rust steel simulation method based on surface random roughness
  • Rust steel simulation method based on surface random roughness
  • Rust steel simulation method based on surface random roughness

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Embodiment Construction

[0058] The present invention will be further described below with reference to the accompanying drawings. according to image 3 The steps shown use the proposed method to generate a finite element model of Q355B steel subjected to atmospheric corrosion.

[0059] For the two-dimensional model, it is assumed that the original size length (L) is 100mm, the height (2r) is 7mm, and the corrosion rate w=13.83%. Calculate the roughness parameter R of the two-dimensional model surface of the rusted steel corresponding to the rust rate w according to formulas (1)-(3). a , R q with R z . will δ 1 =R q , l=0.5R z Substitute into formula (7) and formula (8) to generate a one-dimensional random surface, such as Figure 4 shown. Calculate parameter b according to formula (13) 1 , determine the distance from the rusted surface to the midline to form a two-dimensional model, such as Figure 5 shown. The obtained model is imported into the finite element mesh to obtain a two-dimens...

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Abstract

The invention discloses a numerical method for simulating rusted steel based on surface random roughness, which specifically comprises the following steps: taking the rusted steel surface as a two-dimensional / three-dimensional random rough surface, and obtaining the corrosion rate of the steel according to an actual measurement or empirical formula. The arithmetic mean height, the root mean square height and the maximum height of the rusted steel surface corresponding to the corrosion rate are obtained through a morphology scanning or formula calculation mode, a one-dimensional / two-dimensional random rough surface is simulated and generated through a Monte Carlo method, and finally the distance from the lowest point of the rusted surface to other surfaces is calculated according to the corrosion rate. And combining the obtained rough surface with other planes to generate steel corrosion models under different corrosion degrees.

Description

technical field [0001] The invention relates to a method for simulating rusted steel based on random surface roughness, and more particularly, the invention relates to a method for generating a rusted surface corresponding to the rusting rate, which can be used to analyze the stress concentration and stress concentration caused by local damage to the metal after rusting The effect of surface topography on the mechanical properties and fatigue properties of rusted metals was studied. Background technique [0002] The stress concentration of steel due to the uneven surface morphology is the main reason for the reduction of plasticity, fracture toughness and fatigue performance of corroded steel structures. At present, the research methods on pitting corrosion and uneven corrosion of steel are mainly divided into two categories: the inverse modeling method based on actual measurement and the modeling method of digging. The inverse modeling method based on actual measurement is...

Claims

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Application Information

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IPC IPC(8): G06F30/23G06F17/18G06T17/10G06F119/02G06F119/14
CPCG06F30/23G06F17/18G06T17/10G06F2119/02G06F2119/14
Inventor 司启宗亮丁阳
Owner TIANJIN UNIV
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