Scalable human body model for virtual assessment of multi-modal safety
HYNČÍK, L. Scalable human body model for virtual assessment of multi-modal safety. Šanghaj, 2017.
|Anglický název:||Scalable human body model for virtual assessment of multi-modal safety|
|Autoři:||Doc. Ing. Luděk Hynčík Ph.D.|
|Abstrakt EN:||The presented work concerns hybrid scalable virtual human body model. The hybridity means that there is a skeleton of the whole model created as a multi-body system covered by the skin segmented into rigid surface segments. Those segments enable local deformability by connection to the skeleton by spring and dampers. The main advantage of the hybrid approach is reasonably detailed injury assessment by reduced calculation time. The model is fully validated for multi-directional segment and full scale impacts to assure its biofidelity in wide spectra of impact scenarios. The scalability means that the model can be automatically and quickly updated to any anthropometrical target group. The work contributes to the virtual prototyping addressing safe vehicles. Coupling the scaled model to the virtual environment, the injury assessment and/or safety elements optimization can be provided within fast calculation time. The main advantage of the model is that it is verified and stable in many impact scenarios, covering all modes of transport including vulnerable road users like pedestrian, cyclist and motorcyclist. The study is limited by the multi-body approach, because even there is a local model deformability due to the compressible skin segments, they are still rigid and especially in cases, where detailed contact modelling is an issue, the contact performance must be verified in advance before running any optimization calculation. Virtual analysis has a huge potential for injury prevention by design optimization using verified biofidelic human body model coupled to protective equipment and external infrastructure. Using the developed model, the numerical simulations can provide assessment of existing safety elements and help to design new prototypes for wide spectra of population.|