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Feature human body finite element modeling method based on adaptive RBF network deformation technology

A technology of mesh deformation and modeling method, which is applied in the field of automotive passive safety, can solve the problems of time-consuming and labor-intensive modeling process, and achieve the effects of saving modeling cost, shortening modeling time, and simplifying the modeling process

Inactive Publication Date: 2018-09-11
CHONGQING UNIV
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Problems solved by technology

[0003] At present, the modeling of the human body finite element model used in crash simulation is mainly divided into three steps: CAD model establishment, mesh division, and adding material properties and boundary conditions. This modeling process is very time-consuming and labor-intensive.

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  • Feature human body finite element modeling method based on adaptive RBF network deformation technology
  • Feature human body finite element modeling method based on adaptive RBF network deformation technology
  • Feature human body finite element modeling method based on adaptive RBF network deformation technology

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Embodiment Construction

[0032] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0033] Such as figure 1 As shown, the characteristic human body finite element modeling method based on adaptive RBF mesh deformation technology includes the following steps:

[0034] S1: Reference model and characteristic human body finite element model marker point selection;

[0035] S11: Determine the basic anthropometric parameters of the human body finite element model to be established, including age, gender, height, weight, etc.;

[0036] S12: Divide the human body finite element model into several parts, including head, neck, chest, abdomen, buttocks, thighs, calves, upper arms, and forearms, and then based on the relevant anthropometric database, benchmark model and each part of the model to be built dimensions, and determine the scaling ratio between the baseline model and the model to be built according to these dimensions;

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Abstract

The present invention relates to a feature human body finite element modeling method based on an adaptive RBF network deformation technology, belonging to the field of automobile passive safety. The method concretely comprises the following steps of: S1: selecting a reference model and a feature human body finite element model mark point; S2: performing deformation of adaptive RBF grids, and determining a RBF grid deformation function; and S3: after determining the RBF grid deformation function, performing interpolation of nodes on the reference human body finite element model through a spacedeformation mode to a new space position, adding tissue material attributes, and obtaining a feature human body finite element model. The method provided by the invention greatly simplifies the flow of the feature human body finite element model modeling, shortens the modeling time and saves the modeling cost, and compared to other grid deformation technologies, the method provided by the invention ensures the quality of the model grids to the maximum extent.

Description

technical field [0001] The invention belongs to the field of automobile passive safety, and relates to a rapid modeling method applied to a characteristic human body finite element model in passive safety simulation. Background technique [0002] Traffic accidents have become one of the important factors that threaten people's life safety, and the occupant restraint system has played a great role in protecting the occupants in the car in traffic accidents. Numerical model of human body (mainly finite element model) provides a good tool for the design of occupant restraint system and the evaluation and optimization of its performance. However, the design of existing occupant restraint systems generally focuses on protecting the 50th percentile adult population, without considering the diversity of occupant body types, and occupant body type has a great impact on traffic accident injuries, such as obesity in the same traffic accident Occupants were generally more injured than...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/20
CPCG06T17/20
Inventor 詹振飞李君明董阔董文祥郭钢方宇东杨俊祺
Owner CHONGQING UNIV
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