Method for random model correction based on secondary response surface inversion

A stochastic model correction and response surface technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inaccurate simulation of complex connections, limited applications, and scattered design and manufacturing of materials, so as to avoid ill-conditioned sensitivity matrices problems, improve computing efficiency, and simplify problem analysis

Active Publication Date: 2015-12-30
BEIHANG UNIV
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Problems solved by technology

In practical problems, uncertainties are ubiquitous, such as insufficient sensor configuration or signal processing; material dispersion or design and manufacturing errors; inaccurate simulation of complex connections, etc.
The deterministic model correction method strives to find the accurate nominal value of the parameter, ignoring the objective uncertainty, which greatly limits its application in practice, and the reliability is greatly reduced

Method used

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  • Method for random model correction based on secondary response surface inversion
  • Method for random model correction based on secondary response surface inversion
  • Method for random model correction based on secondary response surface inversion

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Embodiment Construction

[0022] The present invention will be further described below in conjunction with the drawings and specific embodiments.

[0023] Such as figure 1 As shown, the present invention is a stochastic model correction method based on secondary response surface inversion, which includes the following steps:

[0024] Step 1: Establish a preliminary finite element model according to the structural design drawings, and determine all the uncertain parameters in the structure. Combining with the experimental model, construct an optimization objective function based on the structural response output (frequency, displacement, etc.), and perform optimization corrections under the initial interval of uncertain parameters to obtain the nominal value of the uncertain parameters and the preliminary correction model with the highest matching degree with the experimental model;

[0025] Step 2: Taking the nominal value of the uncertain parameter obtained in step 1 as the center, construct an initial hyper...

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Abstract

The invention provides a method for random model correction based on secondary response surface inversion. According to the method, against the problem of uncertainty in engineering system parameter identification or model correction, through single-point successive inversion iteration, errors caused by uncertainty analysis and sensitivity matrix solving in a conventional random model correction method are avoided effectively. It shows through example verification and method contrast that according to the method, uncertainty parameter on a structure having obvious uncertainty can be performed effectively, and the identification efficiency and accuracy are very high.

Description

Technical field [0001] The invention relates to the field of uncertainty model correction and system parameter identification, and in particular to a random model correction method based on secondary response surface inversion. Background technique [0002] The current structural design tends to be refined and large-scale. CAE analysis technology based on finite element analysis is playing an increasingly important position in the design of structural products. In terms of structural mechanical performance analysis, failure warning, damage identification, etc., accurate and effective finite element models are essential. However, due to the complexity of the structure itself and the inappropriate simplification strategy adopted in the modeling process, the finite element model established according to the design drawings cannot reflect the mechanical properties of the real structure. In order to ensure the consistency of the static and dynamic response of the finite element model...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 丁和武邱志平吕峥朱静静孙佳丽
Owner BEIHANG UNIV
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