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Developing a Full-Body Finite Element Model and Its Validation for Seating Comfort

EasyChair Preprint no. 8894

12 pagesDate: October 3, 2022


TOPIC anthropometry and 3D human body modeling Modeling for subjective responses (e.g., ingress/egress, seat comfort)

Human body finite element (FE) models can be used for seating comfort assessment by providing biomechanical related parameters such as internal loads and soft-tissue deformations. However,  most of the published models were only validated under a condition far from a real seating situation. Their ability to be repositioned may also be limited. In recent years, an open-source PIPER software package has been developed to help personalize and position Human Body Models (HBMs) for crash simulation. We have morphed the PIPER Child model into an adult FE model. In this paper, we present how the initially morphed adult FE model was adapted for assessing seating comfort and validated for different seating conditions. Experimental data was collected using a reconfigurable experimental seat and pressure mats. Four seat configurations were defined with the seat pan angle (SPA) from 0° to 15° (5° in steps) and seat pan to seat backrest angle (SP2BA) kept to 100°. Simulated results in terms of seat contact area (ContactA), peak pressure (PeakP), mean pressure (MeanP), and pressure profiles showed good agreement with experimental observations. The full-body FE model developed and validated in this work will be used as a reference for further development of scalable and positionable models using the PIPER software framework. The model will be open source to facilitate reuse and further improvements.

Keyphrases: Full-body finite element model, open source, Seating dis/comfort, Validation

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Shenghui Liu and Philippe Beillas and Ding Li and Xuguang Wang},
  title = {Developing a Full-Body Finite Element Model and Its Validation for Seating Comfort},
  howpublished = {EasyChair Preprint no. 8894},

  year = {EasyChair, 2022}}
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