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Fractional Differential Recognition Algorithm for Electrochemical Characteristic of Steel Concrete Structure Corrosion

A technology of fractional differentiation and steel-concrete structure, which is applied in the direction of electrical digital data processing, special data processing applications, calculations, etc., and can solve problems such as irreversible transformations

Active Publication Date: 2016-10-05
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The obstacle to solving this problem is that the impedance of the CPE that reflects the diffusion effect contains an index, so it is impossible to perform Laplace or FFT inverse transformation on the general EC, and then obtain its response calculation formula in the time domain

Method used

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  • Fractional Differential Recognition Algorithm for Electrochemical Characteristic of Steel Concrete Structure Corrosion
  • Fractional Differential Recognition Algorithm for Electrochemical Characteristic of Steel Concrete Structure Corrosion
  • Fractional Differential Recognition Algorithm for Electrochemical Characteristic of Steel Concrete Structure Corrosion

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Embodiment 1

[0036] Specifically, this method uses the fractional differential operator to calculate the corrosion electrochemical transfer function, and then controls the error between the calculated value and the experimental value, obtains the parameter value to be identified in the transfer function, and realizes the identification of the electrochemical state of steel corrosion .

[0037] The general electrochemical equivalent circuit R of steel bar corrosion in reinforced concrete structure is as follows c ((R ct Z w )Z CPE as an example.

[0038] (1)R c ((R ct Z w )Z CPE The establishment of the transfer function of the equivalent circuit

[0039]

[0040] Among them, G(jω)-admittance; I(jω) and U(jω) are respectively the excitation current and the corresponding voltage response, or the current response and the corresponding excitation voltage; R c - Concrete resistance; R ct -Resistance of steel bar corrosion electrochemical reaction at steel-concrete interface; Y OQ ...

Embodiment 2

[0060] Using Maltab language to realize the programming of the above theoretical algorithm, figure 1 The flow of algorithm writing is given. First, the corresponding transfer function is given according to the specific requirements. In this example, the general equivalent circuit R is given c ((R ct Z w )Z CPE Such as the transfer function of formula (1); secondly, the fractional differential operator is selected, in this example, the Grundwald-Letnikov differential operator of formula (8) is used; thirdly, the fractional differential operator is obtained under constant potential step excitation Current response calculation result I(c); Fourth, under the given initial parameter value, Matlab is used to perform nonlinear fitting on the calculation result I(c) to obtain each parameter value; Fifth, the premise of traversing each sampling point Next, calculate the error sum (9) formed by each sampling point, if the error (9) is greater than the control error, change the value...

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Abstract

The invention provides a fractional differentiation recognition algorithm for the corrosion electrochemistry characteristic of a steel and concrete structure. Firstly, a general electrochemistry equivalent circuit of the reinforcement corrosion process of the steel and concrete structure is set, and then a transfer function of the equivalent circuit is obtained; secondly, according to the fractional differential operator, fractional differential operation is carried out on the transfer function; thirdly, after an initial value of a parameter to be recognized is given, iterative operation is carried out through combination of the initial value and a test value of current response, after an error between a computing result and a test result is smaller than a control error, the value of the parameter to be recognized is obtained, and accordingly the reinforcement corrosion electrochemistry characteristic of the steel and concrete structure can be recognized. According to the fractional differentiation recognition algorithm, corrosion to a steel and concrete system can be recognized integrally, rapidly and accurately within the time domain. The fractional differentiation recognition algorithm can be conveniently implanted into a hardware system used for monitoring and controlling corrosion, and is applied to monitoring and estimating health states of the basic structures such as petroleum, chemical engineering and the nuke industry.

Description

technical field [0001] The invention relates to a fractional differential identification algorithm for corrosion electrochemical characteristics of steel-concrete structures. Background technique [0002] The steel-concrete structure is one of the main structural types that will be used for a long time now and in the future. The corrosion of steel bars is the main reason for the reduction of the durability of the steel-concrete structure. According to the statistics of the World Corrosion Organization (WCO) in 2009, the global economic loss caused by corrosion exceeds 2.2 trillion U.S. dollars per year. Recently, my country has once again invested trillions of dollars in the development of infrastructure construction, accounting for a considerable proportion of major steel-concrete structure durability issues, which is bound to become a strategic issue affecting national economic development and social harmony and stability. The harm of steel bar corrosion is far greater th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 乔国富李惠欧进萍关新春
Owner HARBIN INST OF TECH