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Turbine blade fatigue reliability analysis method combining subset simulation with PCE

A turbine blade and analysis method technology, applied in geometric CAD, special data processing applications, instruments, etc., can solve the problems of high resource consumption in the analysis process, long analysis time consumption, and limited accuracy of analysis results, etc.

Active Publication Date: 2020-10-16
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

The existing fatigue reliability analysis methods for turbine blades generally have problems such as limited accuracy of analysis results, large resource consumption in the analysis process, and long analysis time.

Method used

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  • Turbine blade fatigue reliability analysis method combining subset simulation with PCE
  • Turbine blade fatigue reliability analysis method combining subset simulation with PCE
  • Turbine blade fatigue reliability analysis method combining subset simulation with PCE

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Embodiment Construction

[0057] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0058] The subset simulation method (subset simulation, SS) is a method for solving high-dimensional small failure probabilities, which expresses the small failure probability as a series of larger conditional failure probabilities by introducing reasonable intermediate failure events , and the larger conditional failure probability is efficiently estimated by using samples generated by MCMC (Markov Chain Monte Carlo, Markov Chain Monte Carlo) simulation. Although compared with the traditional MCS (Monte Carlo simulation, Monte Carlo simulation) method, the subset simula...

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Abstract

The invention provides a turbine blade fatigue reliability analysis method combining subset simulation with PCE. The turbine blade fatigue reliability analysis method comprises the following steps that a geometric simulation model of a turbine blade is established; analyzing the geometric simulation model of the turbine blade, and determining an n-dimensional random vector x = {x1, x2,..., xn} T influencing the fatigue life of the turbine blade and a relationship between the n-dimensional random vector x = {x1, x2,..., xn} T and the design life of the turbine blade; establishing a turbine blade fatigue reliability analysis model to obtain a performance function y = g (x) of turbine blade failure; and estimating the fatigue reliability of the turbine blade. The method has the advantages that on one hand, under the condition of the same calculated amount, the analysis precision of the method on the fatigue reliability of the turbine blade is higher than that of a traditional PCE method in the prior art; and on the other hand, compared with a traditional numerical simulation method in the prior art, the resource consumption for analyzing the fatigue reliability of the turbine blade islow, the time is short, and therefore the efficiency of analyzing the fatigue reliability of the turbine blade is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of turbine blade fatigue reliability analysis, and in particular relates to a turbine blade fatigue reliability analysis method combined with subset simulation and PCE. Background technique [0002] Turbine blades, as one of the key components of aero-engines, have complex and harsh working conditions, and are often subjected to temperature loads, centrifugal loads, and aerodynamic loads. Once a blade breaks, it will cause more related components to fail, resulting in consequences Or the loss is extremely serious. Therefore, analyzing the reliability of the fatigue life of aeroengine turbine blades is of great significance to the safety and efficiency of aeroengine systems. The existing fatigue reliability analysis methods of turbine blades generally have problems such as limited accuracy of analysis results, large resource consumption in the analysis process, and long analysis time. Contents of the inven...

Claims

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Application Information

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IPC IPC(8): G06F30/15G06F30/20G06F119/02
CPCG06F30/15G06F30/20G06F2119/02
Inventor 冯凯旋吕震宙员婉莹周易成
Owner NORTHWESTERN POLYTECHNICAL UNIV
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