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Locomotive multi-body structure dynamic model correction method

A dynamic model, multi-body dynamics technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of difficult to achieve, difficult to determine the simulation of dynamic characteristics characterization parameters, increased interaction and manual adjustment Difficulty and other issues to achieve the effect of strong practicability

Inactive Publication Date: 2017-05-17
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

In the process of establishing a multi-body model of a motor vehicle or high-speed rail, the difficulty often encountered is that the simulation of the dynamic characteristic parameters of each component is difficult to determine, and the actual product development and design process is likely to be limited by the test cost and development cycle. These parameters can only be roughly estimated, and the response calculated according to such a dynamic model must be different from the actual structure.
In this case, simple manual adjustment of these estimated parameters is often difficult to achieve the desired effect: first, adjusting each parameter will undoubtedly reduce efficiency; moreover, due to the existence of nonlinear factors, blindly adjusting The correct result cannot be obtained; in addition, as the number of parameters increases, the interaction between parameters will also increase the difficulty of manual adjustment

Method used

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  • Locomotive multi-body structure dynamic model correction method
  • Locomotive multi-body structure dynamic model correction method
  • Locomotive multi-body structure dynamic model correction method

Examples

Experimental program
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Embodiment example 1

[0020] Implementation case 1: Locomotive multi-body dynamics modeling and analysis include locomotive vehicle dynamics model, said locomotive vehicle dynamics model includes initial multi-body dynamics model, multi-body dynamics analysis, test model, modal analysis and modal condensation / expansion, the multibody dynamics module enters modal condensation / expansion through multibody dynamics analysis, and the test model enters modal condensation / expansion through modal analysis. The modal polycondensation / expansion further includes: (1) model matching and correlation analysis; (2) parameter analysis; (3) sensitivity analysis and residual error analysis; (4) correction value solution; (5) new design parameters ; (6) Iterative convergence? , if not, re-enter the multi-body dynamics analysis; if yes, enter a new multi-body dynamics model.

[0021] The new multibody dynamics model further includes a quality pass? check? If not, re-enter the initial multi-body dynamics model; if ye...

Embodiment example 2

[0022] Implementation case 2: The locomotive model correction parameter selection includes Matlab platform, Simpack parametric modeling, new Simpack model and output mode, the Matlab platform reads and writes parameters to Simpack parametric modeling, and the Matlab platform performs sensitivity analysis The corrected parameters are transmitted to the Simpack parametric modeling, and the Simpack parametric modeling changes the parameters to form a new Simpack model and output the model, and the Matlab platform enters the output model after batch calculation.

[0023] The further optimization of the Matlab platform based on sensitivity iterative correction is evaluated after optimization, if the evaluation is qualified, then ends, if the evaluation is unqualified; then change the parameters to enter a new Simpack model, and the further optimization process of the output mode, so The output modes described include frequencies, damping ratios, and mode shapes.

Embodiment example 3

[0024] Implementation case 3: The multi-body dynamics model of the locomotive includes the car body, frame, wheelsets and corresponding connectors. The basic parameters of the vehicle, the mass and moment of inertia of the components, and the suspension parameters can be set according to the actual model. The locomotive multibody dynamics model obtained based on Simpack is as follows: image 3 shown.

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Abstract

The invention relates to the field of high-speed train simulation models, in particular to a locomotive multi-body structure dynamic model correction method. The locomotive multi-body structure dynamic model correction method comprises the steps of locomotive multi-body structure dynamic modeling and analysis, locomotive dynamic test modeling and analysis, correlation analysis between calculation and testing, locomotive model correction parameter selection, sensitivity and residual analysis and iteration correctio based on sensitivity analysis. The locomotive multi-body dynamic model correction is based on a commercial multi-body dynamic software platform, can obtain an accurate simulation model, embodies the convenience and effectiveness of a parametric modeling correction method, can be applicable to a complicated engineering structure, can be popularized to other multi-body dynamic model correction of a locomotive and meanwhile has very high practicability.

Description

technical field [0001] The invention relates to the field of high-speed train simulation models, in particular to a method for correcting dynamic models of locomotive multi-body structures. Background technique [0002] Dynamic simulation is an essential step in the design and maintenance of high-speed trains. In the process of establishing a multi-body model of a motor vehicle or high-speed rail, the difficulty often encountered is that the simulation of the dynamic characteristic parameters of each component is difficult to determine, and the actual product development and design process is likely to be limited by the test cost and development cycle. These parameters can only be roughly estimated, and the response calculated according to such a dynamic model must be different from the actual structure. In this case, simple manual adjustment of these estimated parameters is often difficult to achieve the desired effect: first, adjusting each parameter will undoubtedly redu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/15G06F30/20
Inventor 郭勤涛程景煜杨丹丹陶言和王彤
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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