Research On Parametric Modeling Of The Occupant Human Body Skeletion

With rapid development of automobile industry, many scholars paid much attention to ergonomics analysis. Accurate biomechanical human models are essential for ergonomics analysis, which were established based on reasonable anthropometric data. They can be applied in the vehicle design and analysis process, such as H points range design and verification, the vision and hand reaching interface analysis etc. They can also provide basic data for driver operation comfort and passenger riding convenience analysis. Therefore, the establishment of parametric biomechanical human model, which could produce lots of biomechanical models through adjusting human dimensions parameters, has been a hot issue in automotive design area. Human skeleton system is served as power drive of body surface and muscle. Scaling human skeleton system model is the basis for biomechanical human body modeling. It is also required as an indispensable supplementary means in vehicle design, evaluation and analysis process. Therefore, the goal of this research is to establish accurate human skeleton system model, and study different skeletons’ scaling methods, which can be used for driving posture analysis, vision analysis, and comfort evaluation etc.Group dimension data is the basis for parametric human skeleton modeling. Exited anthropometric measurement methods have tedious operation, which waste large amount of time. This paper adopted Monte Carlo simulation method, which generated anthropometric data samples following normal distribution, and analysed the joint distribution characteristics of multidimensional human scale, so as to establish human dimensions prediction model.After obtaining anthropometric data samples, size classification was done to effectively distinguish different body sizes, improving the model accuracy. This paper selected five different size classification methods and described physical meanings of various classification methods. The chosen method should cover human bodies’ characteristics accurately, and ensured that no difference in each group size, large difference in different size groups. After size classification, Three dimensions of height, weight and sitting height were selected as three main predictors. Then two layer body size prediction models were set up based on stepwise linear regression method. Through comparing predictive values and sample values of some dimensions of different percentiles and seven typical percents human models, the model precision was also checked.Parametric human skeleton model as virtual drive was the foundation of scaling human skeleton system model. So17parts human skeleton model was established based on human dimension prediction, which could drive human skeleton posture and size adjustments. Then detailed skeleton model was developed based on body slices. Finally, standard skeleton model was established referring to skeleton assembly principles written by Reed professor.Based on standard human skeleton model, this paper studied scaling method of regular skeleton and irregular skeleton. For regular skeleton scaling method, this paper mainly discussed common scaling method based on macro skeleton size; for irregular skeleton scaling method, this thesis focused on the skeleton scaling method of radial basis function, which retained detail characteristics of complex skeleton, and studied certain factors influencing irregular skeleton scaling accuracy. Combined with typical individual body size analysis, this method could realize nonlinear skeleton scaling rapidly and accurately.Size classification and human skeleton system modeling were done to establish human prediction model base on selected major anthropometric predictors. This research method can be applied in biomechanical human body surface and skeleton modeling process. At the same time, reasonable skeleton scaling method was studied, which can realize accurate skeleton scaling quickly. Based on analysis results, parametric human skeleton system model was developed, which realized different skeleton scaling and provided basis model for ergonomics analysis.