Real-time quantitative prediction method of three-dimensional cellular automaton of reinforced concrete steel bar pitting corrosion

Abstract

The invention provides a real-time quantitative prediction method of a three-dimensional cellular automaton of reinforced concrete steel bar pitting corrosion. The method comprises the steps that a wavelet energy spectrum algorithm of local pitting corrosion electrochemical noise is established by a rapid wavelet transform method; a three-dimensional cellular automaton model of local pitting corrosion is established based on an elementary reaction of local steel bar pitting corrosion; and the quantitative prediction method of the three-dimensional cellular automaton based on real-time electrochemical noise monitoring information is established by taking a wavelet energy ratio of the electrochemical noise in different scales as a driving force. The established prediction method adopts local corrosion electrochemical noise intrinsic information which can be monitored directly as the driving force of the three-dimensional cellular automaton, so that the corrosion action capacity of an erosion environment and a metal system can be reflected directly and accurately; and in addition, the in-situ, on-line and real-time monitoring information can timely correct a prediction model, so that the prediction accuracy is ensured.

Description

technical field [0001] The invention relates to a three-dimensional cellular automaton real-time quantitative prediction method for steel bar pitting in steel-concrete structures. Background technique [0002] Cl - Local pitting corrosion of steel bars is another important reason for deteriorating the durability of steel-concrete structures. When pitting corrosion has been confirmed in engineering, it is generally necessary to give a corrosion rate amplification factor of 6-8 times compared with uniform corrosion. . Local pitting is often referred to as "steel bar cancer", which can cause stress concentration and fracture of steel bars. [0003] Throughout the domestic and foreign research on pitting corrosion of steel bars, it mainly includes two aspects: the qualitative determination of pitting corrosion occurrence; the quantitative prediction of pitting growth evolution. In terms of qualitative determination of pitting corrosion, electrochemical noise (Electrochemical ...

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Problems solved by technology

[0006] The deterministic and statistical methods developed by a large number of research teams such as G.Engelhardt, M.Urquidi-Macdonald and D.D.Macdonald in the past can study and even predict the temporal and spatial distribution of eclipse points to a certain extent. However, these methods are based on some On the basis of known conditions or simplification of complex reactions, such as known partial environmental parameters, assumed kinetic conditions for specific corrosion reactions, or simplified reaction types and processes, etc., for on-line monitoring of complex local pitting corrosion of steel bars in concrete , most of these harsh conditions cannot be given, and the erosion environment is coupled with each other and changes with time, so these methods cannot be used in pitting monitoring to quantitatively predict the growth and evolution of pitting

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