A Probabilistic Damage Tolerance Analysis Method for Turbine Blades

A turbine blade and damage tolerance technology, applied in the field of aero-engine structural safety, to solve the problem of large uncertainty and improve the efficiency of the solution

Active Publication Date: 2021-12-10
HUNAN UNIV
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Problems solved by technology

Aiming at the strong nonlinearity of the blade crack growth life model and the large uncertainty and correlation between parameters, the present invention proposes a probabilistic damage tolerance analysis method for turbine blades to predict the fatigue growth life distribution

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  • A Probabilistic Damage Tolerance Analysis Method for Turbine Blades
  • A Probabilistic Damage Tolerance Analysis Method for Turbine Blades
  • A Probabilistic Damage Tolerance Analysis Method for Turbine Blades

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Embodiment Construction

[0074] The present invention will be further described in detail below with reference to the embodiments and accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0075] Step 1: Firstly, a deterministic three-dimensional crack growth analysis is carried out on the turbine blade. The overall finite element model of the blade and the local sub-model after the crack is introduced are as follows: figure 1 Shown: The model is 75.8mm long, 43.6mm wide, and 15.4mm thick. The finite element model contains 96287 C3D10 elements, 143824 nodes, the initial crack size is 0.5mm, the thrust is 544.1N, and the bending moment is 400Nm. The blade material is AISI450 steel, the crack growth rate constant C is 2.0349e-8, m is 3.45, and the fracture toughness is K IC for The invention uses the combination of Abaqus and Franc3d to analyze the deterministic crack growth of the turbine blade. Firstly, the global model of the blade is analyzed by Abaqus to ...

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Abstract

The invention provides a method for probabilistic damage tolerance analysis of turbine blades. The invention aims at problems such as the strong nonlinearity of the blade crack growth life model and the large uncertainty and correlation between parameters, and can predict turbine blades only based on the distribution of parameters. For the distribution of fatigue crack growth life of the blade, first logarithmize the crack growth life model, then use Nataf change and orthogonal change to convert the relevant random variables into independent normal random variables, and then use the two-dimensional dimensionality reduction integral to solve the crack growth life The first four moments, and finally the probability density function (PDF) and cumulative distribution function (CDF) of the crack growth life are solved based on the maximum entropy principle (MEP). The invention can predict the life distribution of the fatigue crack extension of the turbine blade, and guide the evaluation of the detection cycle.

Description

technical field [0001] The invention belongs to the field of aero-engine structural safety, and in particular relates to a probabilistic damage tolerance analysis method for turbine blades. Background technique [0002] Turbine blades are the core components of gas turbines and aero-engines. They rotate at high speed under the action of high-temperature, high-pressure, and high-velocity gas. The turbine blades are subjected to strong gas thrust and bending stress. Fatigue fracture is prone to occur in an alternating stress environment, and damage tolerance analysis is crucial to ensure its safe operation. In the service environment, the blade is usually affected by uncertain factors, and the damage tolerance analysis based on deterministic fracture mechanics is often difficult to describe the crack growth behavior in the real crack structure. In order to evaluate the reliability of the remaining strength of the blade structure more accurately and ensure the safety of the bl...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/15G06F30/23G06F119/04G06F111/08
Inventor 龙湘云刘凯姜潮
Owner HUNAN UNIV
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