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The paper concerns the development of a new scalable virtual human body model. The model has been developed to assess safety risk during various complex crash scenarios including impacts from different directions. The novel approach described couples the basic multi-body structure with deformable segments, resulting in short calculation time. Each multi-body structure segment carries the particular surface parts that are linked to the segment with non-linear springs representing the behavior of related soft tissues. The response of particular body segments (head, thorax, pelvis, lower extremities) is validated in known impact scenarios and the response of the model is tuned to the experimental corridors obtained from literature. The tuning process involved the adjustment of both model material and numerical parameters in order to get the correct response for all the tests.

The paper contributes to the development of virtual biomechanical human models as a support for design and optimization of both passive and active safety systems used in various modes of transportation. The paper shows the scaling methodology as simply as possible to creating models based on a reference model regarding anthropology and flexibility. The paper describes the methodology for the scaling of hybrid human models based on a multi-body structure carrying deformable parts. The idea is to have a reference model and to create other models automatically based on the least possible number of parameters. The developed method takes into account the height, age, mass and flexibility of joints. The scaling process starts by scaling the reference model to the target height for given age (including correct height for each major segment of the human body) based on the available anthropometrical data. The scaling coefficient for each segment is also used to scale the segment mass.