Abstract
Quantitatively monitor the crack growth rate of material stress corrosion cracking (SCC) in an autoclave that simulates a high-temperature and high-pressure water environment, and the direct current potential drop (DCPD) method is the main method. Since the DCPD method tests micro-nano-voltage drop signals, the monitoring signal is weak and easy to be interfered by the environment. To reduce and balance the error caused by the temperature drift and other factors to the monitoring accuracy, it is very important to reasonably select the position of the reference potential probe point. In this study, genetic algorithm (GA), finite element method (FEM), and experimental analysis are used to optimize the position of the reference potential probe point of the compact tensile (CT) sample. Finite element method is used to analyze the electric potential field of the compact tensile sample, a mathematical model of the measurability and crack independence of the reference potential difference are constructed, genetic algorithm is used to find the optimal reference potential difference (RPD) probe point position, and finally, the crack monitoring experiments are performed to evaluate the feasibility of algorithm optimization results. The results indicate that the RPD measured at the current input point and the upper right position of the CT sample can provide the maximum compensation for the potential on both sides of the crack and make the performance of the monitoring signal optimal.
Highlights
In an autoclave that simulates the high-temperature water environment of nuclear power, monitoring of the crack growth rates is one of the important tasks in the selection of the structural materials and safe evaluation of nuclear power [1]
Advances in Materials Science and Engineering conductivity. It selects the potential difference at any two probe points on the sample as the reference potential difference (RPD) which corrects and compensates the main potential difference reflecting the growth of the crack to eliminate the fluctuation of the potential difference caused by the temperature drift
With the increase of crack length, the potential value at the same probe points varies. e finite element method (FEM) is used to extract the potential value of the probe points since the voltage signal characterizing the crack is very weak
Summary
In an autoclave that simulates the high-temperature water environment of nuclear power, monitoring of the crack growth rates is one of the important tasks in the selection of the structural materials and safe evaluation of nuclear power [1]. Advances in Materials Science and Engineering conductivity It selects the potential difference at any two probe points on the sample as the reference potential difference (RPD) which corrects and compensates the main potential difference reflecting the growth of the crack to eliminate the fluctuation of the potential difference caused by the temperature drift. Based on the FEM, Hu [11] recently proposed that the ratio between the reference potential and the main potential is dimensionless and obtained the relationship between crack length and voltage drop of the three-point bending sample. A novel method is proposed based on the genetic algorithm to obtain the optimal reference potential difference and the probe point position that meets the best measurability, and crack independence is sought. A crack monitoring experiment is operated in an autoclave environment, and the accuracy, resolution, and stability of the monitoring data are analyzed at the optimal probe point position
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