Parameter configuration method and system for computational fluid dynamics simulation

A technology of computational fluid dynamics and parameter configuration methods, applied in the field of computational fluid dynamics simulation calculations, to achieve the effects of getting rid of uncertainty, strong versatility, and improving ease of use

Active Publication Date: 2020-01-31
NAT INNOVATION INST OF DEFENSE TECH PLA ACAD OF MILITARY SCI
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problem of balance between the performance and accuracy requirements of high-order computational fluid dynamics simulation in the prior art, the present invention provides a parameter configuration method and system for computational fluid dynamics simulation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Parameter configuration method and system for computational fluid dynamics simulation
  • Parameter configuration method and system for computational fluid dynamics simulation
  • Parameter configuration method and system for computational fluid dynamics simulation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] A parameter configuration method for computational fluid dynamics simulation, such as figure 1 shown, including:

[0054] Step 1: setting the experimental values ​​of the parameters of the computational fluid dynamics simulation, obtaining the experimental result data set of the computational fluid dynamics simulation by means of a simulation experiment, and performing error evaluation based on the experimental result data set to obtain error data;

[0055] Step 2: determining an error model and a performance model based on the experimental values ​​of the parameters, the error data and the simulation experiment result data set;

[0056] Step 3: Using the error model and the performance model as constraints respectively, perform calculations to obtain the optimal value of parameter configuration for computational fluid dynamics simulation;

[0057] The parameters include grid density and discretization order.

[0058] Step 1: setting the experimental parameters of com...

Embodiment 2

[0074] Based on the same inventive concept, the present invention also provides a parameter configuration system for computational fluid dynamics simulation, including:

[0075] A parameter configuration system for computational fluid dynamics simulation, such as figure 2 As shown, including error module, model module and optimal solution module;

[0076] Error module: used to set the experimental values ​​of the parameters of the computational fluid dynamics simulation, obtain the experimental result data set of the computational fluid dynamics simulation by the simulation experiment method, and perform error evaluation based on the experimental result data set to obtain error data;

[0077] Model module: used to determine an error model and a performance model based on the experimental value of the parameter, the error data and the simulation experiment result data set;

[0078] Optimal solution module: used to use the error model and the performance model as constraints, ...

Embodiment 3

[0095] In numerical simulation, error is generally used to measure the accuracy of simulation. In actual engineering applications or scientific research, a threshold is usually specified for the error. When the actual simulation error is less than or equal to this threshold, the simulation accuracy is considered to meet the requirements. This is also the mainstream grid-independent verification standard. For example, it is generally believed that the error is less than 10 -2 When meeting engineering precision, and for scientific computing programs, the minimum error requirement is 10 -6 . When the error meets a certain accuracy requirement, further reducing the grid spacing can further reduce the error, but on the one hand, the degree of error reduction is very low; on the other hand, the resulting overhead will increase sharply. Similarly, when the discretization order can also be changed, there should exist a set of grid order configurations that allow the required accurac...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

A parameter configuration method for computational fluid mechanics simulation comprises the steps of setting experimental values of parameters of computational fluid mechanics simulation, obtaining anexperimental result data set of computational fluid mechanics simulation d through a simulation experiment method, conducting error evaluation on the basis of the experimental result data set to obtain error data; determining an error model and a performance model based on the experimental values of the parameters, the error data and the simulation experimental result data set; taking the error model and the performance model as constraints, and performing calculation to obtain a parameter configuration optimal value of computational fluid mechanics simulation; wherein the parameters comprisegrid density and discrete orders. According to the technical scheme provided by the invention, parameter configuration can be configured based on a grid order irrelevant theory in high-order computational fluid mechanics simulation, the performance can be optimal on the premise of meeting the precision requirement, and the efficiency of high-order computational fluid mechanics simulation is improved.

Description

technical field [0001] The invention relates to computational fluid dynamics simulation calculations, in particular to a parameter configuration method and system for computational fluid dynamics simulations. Background technique [0002] Computational fluid dynamics is a typical interdisciplinary subject, which uses numerical methods and computer simulations to solve realistic physical, biological and chemical problems. Compared with traditional test methods, in addition to low cost and high efficiency, computational fluid dynamics simulation is also flexible and adjustable. For example, in the computational fluid dynamics simulation of the airfoil, in order to observe the phenomenon under different physical conditions, it is usually only necessary to adjust the parameters related to the initial conditions and boundary conditions in the computational fluid dynamics code; in order to obtain more reliable results, You only need to adjust the parameters related to the simulat...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/23G06F119/02
Inventor 李豪林宇斐张帅沈天龙刘逊韵徐利洋叶帅
Owner NAT INNOVATION INST OF DEFENSE TECH PLA ACAD OF MILITARY SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap