Transient characteristic-containing maneuvering and pneumatic extreme value load combination probability distribution research method for multi-duct casing system

By analyzing the probability distribution of combined maneuvering and aerodynamic extreme loads of aero-engines using rainflow counting, Markov chain theory, and Monte Carlo reconstruction, the problem of single-parameter load spectrum prediction bias was solved, improving the accuracy and efficiency of load analysis for multi-duct casing systems and providing a reliable basis for engine design and maintenance.

CN121765901APending Publication Date: 2026-03-31NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-03
Publication Date
2026-03-31

AI Technical Summary

Technical Problem

In existing technologies, single-parameter load spectra are difficult to accurately reflect the coupling relationship between maneuver loads and aerodynamic loads, resulting in significant deviations between the predicted lifespan of aero-engine components and the actual situation.

Method used

A rainflow counting-based filtering method is used to process the maneuver load spectrum. By combining Markov chain theory and Monte Carlo reconstruction method, the combined probability distribution of maneuver and aerodynamic extreme loads is analyzed. A large number of samples are taken using Monte Carlo sampling method to calculate the correlation coefficient and fit the joint probability density.

Benefits of technology

It improves the accuracy and efficiency of transient load analysis of multi-duct casing systems, provides a scientific basis for engine design and maintenance, and ensures the consistency of load energy and fatigue damage.

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Abstract

The invention discloses a transient characteristic-containing maneuvering and pneumatic extreme value load combination probability distribution research method for a multi-duct casing system, and relates to the technical field of aero-engines, and the method comprises the steps: processing an original maneuvering load spectrum through employing a filtering method based on rain flow counting, extracting a typical task segment, and completing distribution fitting; acquiring basic data of a maneuvering load and an aerodynamic load; a turning point sequence of the basic data of the maneuvering load and the aerodynamic load is extracted, time domain reconstruction is carried out, and rain flow counting and low-cycle fatigue damage verification are carried out; carrying out mass sampling on the reconstructed load spectrum, and analyzing maneuvering and pneumatic extreme value load distribution characteristics; and calculating the correlation coefficient of the dynamic load and the aerodynamic load by adopting a rain flow method to obtain the joint probability density of the maneuvering load and the aerodynamic load. According to the method, the transient load analysis precision and efficiency of the multi-duct casing are improved, and theoretical support and data basis are provided for structural design and fatigue life prediction.
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