Mymosa final presentation
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The document discusses the development of active and passive human models for pre-crash and crash scenarios. It reviews biomechanical human modeling and injury criteria focusing on multi-body models and motorcyclist injuries. A 2D multibody model was implemented in MATLAB and a 3D model of a 50th percentile male with 15 rigid bodies and passive joints was developed. A pedestrian crash simulation was conducted validating the model's head and thorax impact responses against injury metrics.
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Mymosa final presentation
- 1. active and passive human model for pre and crash scenarios Pedro Talaia, ESR2, MYMOSA University of West Bohemia Czech Republic
- 2. STATE OF ART • Review on biomechanical human body modeling with special focus on multi-body models – Dedicated software – Software suites – Code development • Review on impact biomechanics and injury criteria with special focus on motorcyclist – Types of injuries – Injuries by human body section • Anatomy • Injury and associated mechanisms • Injury criteria
- 3. STATE OF ART • Stage at LMS • Virtual.Lab Motion • Modelling • Controlling • Course in accident reconstruction, DEKRA • Characteristics of body’s member segments • Body parts • Movements • Virtual.Lab Motion • Model validation
- 4. T eq dq QM C q QC 0 λ 2D MODEL • Mathematical formulation – Time domain – Cartesian coordinates – Passive joints • Spring • Dampers – Rigid bodies – Perfect joints • 9 revolute • 1 prismatic – Baumgarte’s stabilization method • Constraint violation • The constant distance between two points can cease and the points move away from their initial position – New definition of constrains derivative – Constant parameters with arbitrary values i i j j R r R r 0 0i j c 1 2 1 2 1 2 0 i i i j i j p p i i i j p x y y xp p p p p R A u R A u p R A u R 2 ,d q qq t Q C q q C q C q
- 5. 2D MODEL • Code implementation • MATLAB (2007a) • Integration function ode113 • Step time of 2 ms • Relative error of 1E-4 • Absolute error of 1E-6
- 6. Models
- 7. 3D HUMAN BODY MODEL • Body entity (CAD) • General coordinates (axis) • Center of Mass axis • Joint axis • (skin, lines, etc.) • Body definition (CAE) • Body entity • Center of Mass definition • Mass and Inertia definition • (sensors, contacts, etc.) • Joint definition • All revolute (Spherical by 3 revolute) • Passive stiffness (parametric) • Output parameters computation • From the sensors • Controls (IO)
- 8. Models • Model developed – 50th percentile male – 15 bodies – 10 spherical joints (3 revolute composed) – 4 revolute joints – Passive joints (spring and damper) – Skin contact – Hemet pre-defined (for PTW proposes) – Full parametric
- 9. Methodology Crash databases ISO configurations Pre-crash simulation FEM simulation MB simulation
- 10. Pedestrian example • Vehicle – Van – braking 0.8g – 28kph • Pedestrian – 50th percentile male – stand ahead – no-aware
- 13. Pedestrian example -10000 -8000 -6000 -4000 -2000 0 -1000 -800 -600 -400 -200 Aerialview[mm] -10000 -8000 -6000 -4000 -2000 0 -1500 -1000 -500 0 500 Lateralview[mm] Displacment [mm]
- 14. Pedestrian example Measured Simulated Deviation (%) HIC15 16 698 15 017 -10.1 HIC36 7 366 7 718 4.8 ThAC* 1 135 2872 153.0
- 15. Head Impact
- 16. Head impact
- 17. Thorax impact
- 18. Thorax impact
- 19. Thorax impact
- 20. Conclusions • 2D Multibody model implemented • 3D Multibody model implemented – 50th percentile male – Anthropometric data from literature – Contact validation – Other parameters accessed • A crash involving a pedestrian was simulated • Injuries have been accessed in the first impact
- 21. active and passive human model for pre and crash scenarios Pedro Talaia, ESR2, MYMOSA University of West Bohemia Czech Republic