Method and system for modeling burst disc lifetime based on material degradation
By establishing a material degradation model and combining multiphysics coupling and particle filtering algorithms, the accuracy and real-time performance issues of rupture disc lifetime prediction in existing technologies have been solved. This enables real-time quantitative characterization and dynamic prediction of the microstructure of rupture disc materials, thereby improving prediction accuracy and industrial safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENYANG XINGUANG HANGYU SAFETY SYST
- Filing Date
- 2026-03-27
- Publication Date
- 2026-07-10
AI Technical Summary
Existing technologies cannot quantitatively and dynamically map the relationship between material degradation and burst pressure shift in real time when predicting the life of rupture discs, resulting in limited prediction accuracy and lack of dynamic monitoring. In particular, the failure mechanism of materials is difficult to be effectively captured in complex service environments.
A method for modeling the life of rupture discs based on material degradation is established. By constructing a real-time sensing field of multi-source service environment parameters and rupture disc status, and combining a multi-physics field coupling model of chemical corrosion thinning, tissue softening and fatigue damage, the material damage variables are calculated in real time. The remaining life is then predicted using a particle filtering algorithm, thereby realizing dynamic monitoring of the rupture disc status.
It enables real-time quantitative characterization of the microstructure evolution of rupture disc materials, improves the accuracy and real-time performance of lifetime prediction, and can output the remaining lifetime probability distribution with confidence intervals, providing reliable safety warnings and enhancing the inherent safety of industry.
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Abstract
Citation Information
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