A Deformation Energy Approach to Normalizing PMHS Response Data and Developing Biofidelity Targets for Dummy Design

Generating a target for the quantitative assessment of crash dummy biofidelity based on normalized post‐mortem human subject (PMHS) response data is important for dummy design and development. Normalization is the process of modifying a set of PMHS response data to represent the response of a typical sized human, for example the 50th percentile male. A biofidelity target is the normalized response against which the response of a dummy is quantitatively compared. A mechanistic and statistically based viscoelastic methodology is presented for normalizing PMHS response data based on the applied force, the thoracic deflection and the deformation energy at maximum deflection. A force versus deflection biofidelity target is generated consisting of a mean response curve with a two‐dimensional standard deviation ellipse tolerance. This paper provides a detailed explanation of the method, application to an example data set and comparisons to previous methods of normalization using the ellipse coefficient of variation as a measure of similitude.

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  • Supplemental Notes:
    • Abstract reprinted with permission of the International Council on the Biomechanics of Injury (IRCOBI). Paper No. IRC-14-37. Alternate title: Using Absorbed Energy to Normalize PMHS Response Data and Develop Biofidelity Targets for Dummy Design.
  • Corporate Authors:

    International Research Council on Biomechanics of Injury (IRCOBI)

    Winkelriedstrasse 27
    Zurich,   Switzerland  CH-8006
  • Authors:
    • Donnelly, Bruce R
    • Moorhouse, Kevin M
    • Rhule, Heather H
    • Stammen, Jason A
  • Conference:
  • Publication Date: 2014

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Appendices; Figures; References; Tables;
  • Pagination: pp 303-317
  • Monograph Title: 2014 IRCOBI Conference Proceedings
  • Serial:

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Filing Info

  • Accession Number: 01538965
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 26 2014 2:29PM