Pipeline flow field pressure distribution evaluation method and device integrating measured data

Abstract

The invention relates to a pipeline flow field pressure distribution evaluation method and device integrating measured data and relates to the technical field of pipeline flow field pressure distribution evaluation. The method comprises the following steps of: carrying out equal-difference splitting on a parameter floating threshold range so as to obtain a plurality of parameter floating sub-thresholds; obtaining a plurality of empirical parameter estimation values, and obtaining a plurality of corresponding empirical parameter correction values on the basis of each parameter floating sub-threshold; according to the plurality of empirical parameter correction values, combining the empirical parameter correction values to obtain a plurality of empirical parameter combinations; performing simulation according to each empirical parameter combination to obtain theoretical pressure distribution conditions; and comparing the theoretical pressure distribution situations with a monitored pressure distribution situation obtained by monitoring, and taking the theoretical pressure distribution situation corresponding to the minimum total error of the theoretical pressure distribution situation and the monitored pressure distribution situation as the actual pressure distribution situation. According to the pipeline flow field pressure distribution evaluation method and device integrating the measured data of the invention, the threshold range of each empirical parameter is split, the software simulation data is compared with the real-time measurement data, and high-precision flow fieldpressure distribution is gradually established for a pipeline, so that the phenomena of pipeline cracks and leakage can be analyzed more accurately.

Description

technical field [0001] The invention relates to the technical field of pressure distribution evaluation of pipeline flow field, in particular to a method and device for evaluating pressure distribution of pipeline flow field by fusing measured data. Background technique [0002] In the secondary circuit system pipelines of pressurized water reactor nuclear power plants or nuclear powered ships, high temperature and high pressure corrosive liquids flow. After the pipelines age, problems such as cracks and leakage may occur. If they cannot be found and treated in time, large cracks in the pipelines will occur , posing a great threat to the operation of nuclear installations and the safety of personnel. Through the evaluation of the pressure distribution of the flow field of the secondary circuit pipeline, it has gradually become one of the important preventive means to analyze the crack and leakage of the pipeline from the abnormal local pressure to avoid the large breach acci...

AI Technical Summary

Problems solved by technology

Among them, the turbulent flow motion in the pipeline is generally highly nonlinear, and it is often difficult to calculate accurately. Generally, the standard k-ε turbulence model is selected according to the characteristics of the secondary circuit pipeline, and its parameters include the Prandtl number σ of the k equation k , the Prandtl number σ of the ε equation ε with the empirical constant C 1ε 、C 2ε 、C 3ε , the turbulent viscosity empirical constant C μ , these six parameters cannot be directly measured, and are generally estimated based on experience, and there are certain errors, so the pressure simulation of the secondary circuit pipeline flow field based on ANSYS Fluent computational fluid dynamics software is not accurate enough

[0005] Second, according to the real-time measurement method, a number of pressure sensors are arranged in the secondary circuit pipeline, and the pressure distribution of the pipeline flow field is evaluated according to the measurement results. However, the number of pressure sensors in the pipeline is limited, and the pressure distribution of the secondary circuit pipeline flow field is also difficult. Comprehensive and accurate assessment

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