Structure finite element model correcting method based on multi-element uncertainty

A technology of uncertainty and model correction, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of lack of synchronization of correction results and cumbersome calculation process.

Inactive Publication Date: 2014-07-02
BEIHANG UNIV
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Due to the step-by-step implementation of corrections, the calculation

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  • Structure finite element model correcting method based on multi-element uncertainty
  • Structure finite element model correcting method based on multi-element uncertainty
  • Structure finite element model correcting method based on multi-element uncertainty

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Embodiment Construction

[0065] Below in conjunction with accompanying drawing and embodiment the present invention is described in detail

[0066] by figure 2 The dynamic analysis of the shown finite element model of the aircraft structure is used as an example to illustrate the present invention. The aircraft model is mainly composed of aluminum beams with a rectangular cross section, including the fuselage, wings, vertical tail, horizontal tail, and winglets on both sides.

[0067] See figure 1 , the present invention is based on a multivariate uncertainty structural finite element model correction method, the specific steps of the method are as follows:

[0068] Step 1: In the Nastran finite element software, the aircraft structure is simplified, and an initial parametric finite element model (that is, the model before correction) is established. The geometric and material parameters of the fuselage, wings and other parts in the initial finite element model are relatively accurate, but the mod...

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Abstract

A structure finite element model correcting method based on multi-element uncertainty comprises the following steps: (1) building an initialized parameterization equivalent finite element model in finite element software; (2) screening out significance parameters; (3) obtaining sample points, and constructing an incomplete variable high-order response surface model; (4) judging validity of the response surface model, if the validity of the response surface model meets the requirement, executing the next step, and if the validity of the response surface model does not meet the requirement, executing the step (3) again; (5) building a rapid random sampling analysis model with the combination of a high-order response surface and the Monte Carlo method, and conducting statistics on a mean value and a covariance matrix of simulation output responses; (6) conducting statistics on a mean value and a covariance matrix of test output results; (7) constructing a weighting objective function of the mean values and covariances of tests and simulation; (8) reversely estimating a mean value and a covariance matrix of input parameters; (9) judging whether the mean value and the covariance matrix of the input parameters meet correction accuracy or not, if yes, stopping iteration, and if not, executing the step (8) again. According to the structure finite element model correcting method, the calculated amount of the iteration is reduced, the application range is wide, and optimization of a large-scale parameter range is achieved.

Description

Technical field: [0001] The invention relates to a structure finite element model correction method based on multiple uncertainties, which belongs to the technical field of mechanical engineering. Background technique: [0002] In the past few decades, the finite element method has become an important method for predicting the dynamic performance of structures. Due to the simplification and approximation of the model, the uncertainty of parameters (such as geometry, contact connection parameters, boundary conditions and load parameters, etc.) inevitably exists, so there must be errors between the test and the calculation results of the finite element model. In order to ensure the accuracy of the finite element model analysis results, the traditional method is to use deterministic test data to correct the model, reduce the deviation, and improve the calculation accuracy of the simulation model. However, due to the manufacturing error of the test piece, the assembly tolerance...

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Application Information

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IPC IPC(8): G06F17/50
Inventor 鲍诺王春洁
Owner BEIHANG UNIV
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