Pipeline residual life prediction method and system based on hydrogen diffusion dynamics
A technology of life prediction and dynamics, applied in informatics, computational theoretical chemistry, computer material science, etc., can solve problems such as lack of adaptability to changing environments, inability to accurately predict the remaining life of pipelines, etc., and achieve unpredictability, theoretical Solid, Predictively Accurate Results
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Embodiment 1
[0049] Such as figure 1 As shown, the present embodiment provides a pipeline remaining life prediction method based on hydrogen diffusion kinetics;
[0050] Pipeline remaining life prediction method based on hydrogen diffusion kinetics, including:
[0051] S101: Obtain the basic data of pipelines to be predicted for service life;
[0052] S102: Input the basic data of the pipeline to be predicted into the calculated pipeline crack growth rate calculation model, and output the pipeline crack growth rate;
[0053] S103: Predict the remaining service life of the pipeline according to the initial crack size and the crack growth rate of the pipeline.
[0054] As one or more embodiments, the screening step of the calculation model for the crack growth rate of the pipeline includes:
[0055] The actual loading frequency of the pipeline for life prediction is compared with the pipeline loading frequency threshold, and the corresponding calculation model for the crack growth rate of t...
Embodiment 2
[0103] This embodiment provides a pipeline remaining life prediction system based on hydrogen diffusion dynamics;
[0104] Pipeline remaining life prediction system based on hydrogen diffusion dynamics, including:
[0105] An acquisition module configured to: acquire the basic data of pipelines to be predicted for service life;
[0106] The input module is configured to: input the basic data of the pipeline to be predicted into the selected pipeline crack growth rate calculation model, and output the pipeline crack growth rate;
[0107] A prediction module configured to: predict the remaining life of the pipeline according to the initial crack size and the pipeline crack growth rate.
[0108] What needs to be explained here is that the above acquisition module, input module and prediction module correspond to steps S101 to S103 in the first embodiment, and the examples and application scenarios realized by the above modules and the corresponding steps are the same, but are no...
Embodiment 3
[0112] This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, the processor is connected to the memory, and the one or more computer programs are programmed Stored in the memory, when the electronic device is running, the processor executes one or more computer programs stored in the memory, so that the electronic device executes the method described in Embodiment 1 above.
[0113] It should be understood that in this embodiment, the processor can be a central processing unit CPU, and the processor can also be other general-purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic devices , discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, o...
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