Polynomial chaos-based turbine blade tip gas thermal performance uncertainty quantification system

An uncertain and polynomial technology, applied in character and pattern recognition, instruments, geometric CAD, etc., can solve problems such as long numerical calculation time, achieve the effect of improving calculation efficiency, increasing calculation accuracy, and reducing calculation time

Active Publication Date: 2021-05-07
XI AN JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

[0005] (2) The numerical calculation time of a single sample is too long. Using a common 8-core Intel i7-8700 CPU to simulate a turbine blade tip aerodynamic heat transfer problem requires 21 hours of calculation
[0006] (3) Conven

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  • Polynomial chaos-based turbine blade tip gas thermal performance uncertainty quantification system
  • Polynomial chaos-based turbine blade tip gas thermal performance uncertainty quantification system
  • Polynomial chaos-based turbine blade tip gas thermal performance uncertainty quantification system

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Embodiment Construction

[0033] The implementation of the present invention will be described in detail below in conjunction with the drawings and examples.

[0034] Such as figure 1 As shown, the present invention is a polynomial chaos-based gas-thermal performance uncertainty quantification system at the tip of a turbine blade, which mainly includes:

[0035] 1. The parameterized geometric modeling module uses the coordinates of the starting point and end point of the arc in the blade tip and the blade height as the key parameters of the geometric modeling of the blade tip to establish the geometric modeling of the blade tip;

[0036] 2. The sampling point generation module takes the number of random variables and the probability density distribution function as input, uses the Symolyak sparse grid technology to sample the sample point space according to the leaf tip geometry generated by the parametric geometric modeling module, and generates polynomial chaos The sample point distribution data req...

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Abstract

The invention discloses a polynomial chaos-based turbine blade tip gas thermal performance uncertainty quantification system. The system comprises a parameterized geometric modeling module, a sampling point generation module, a polynomial chaos expansion model construction module, a sample point initial field distribution module, a turbine blade tip gas heat performance full-automatic pretreatment module, a multi-core remote asynchronous distributed calculation module, a calculation progress real-time feedback module, a polynomial chaos expansion coefficient solving module, a sensitivity analysis module, a result file sampling and analysis module and the like. According to the turbine blade tip gas thermal performance uncertainty detection system, the number of samples needed for obtaining the turbine blade tip gas thermal performance uncertainty can be greatly reduced, the time needed for calculating the numerical value of a single sample can be shortened, and the system is further suitable for turbine blade tips of any size and form; and the requirements of designers of the turbine cooling system are better met.

Description

technical field [0001] The invention belongs to the technical field of turbine blade top cooling system design, and particularly relates to a polynomial chaos-based gas-thermal performance uncertainty quantification system of a turbine blade top, which is used for quantifying the uncertainty of the turbine blade top gas-thermal performance. Background technique [0002] The continuous increase of the inlet temperature of modern gas turbine makes the cooling system design problem of turbine blade tip more and more prominent and complicated. In order to better carry out cooling design, researchers use a large number of experimental measurements and numerical simulation methods to study the flow characteristics and heat transfer characteristics of the turbine blade tip. The current studies on the gas-thermal characteristics of the turbine blade tip are all within the framework of deterministic problems. However, due to the unavoidable manufacturing tolerances and the extremely...

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Application Information

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IPC IPC(8): G06F30/17G06F30/18G06K9/62G06F111/02G06F111/08G06F111/10
CPCG06F30/17G06F30/18G06F2111/02G06F2111/08G06F2111/10G06F18/24147
Inventor 李军黄明李志刚白波
Owner XI AN JIAOTONG UNIV
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