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Metamodel Generation for Frontal Crash Scenario of a Passenger Car Sastra Deemed to be University
- Format:
- Book
- Conference/Event
- Author/Creator:
- Shankar, H. (Hari), author.
- Conference Name:
- International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility (2020-09-25 : Chennai, India)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2020
- Summary:
- An occupant model (Hybrid III 50th percentile) along with seatbelt, steering system, airbags and the B-pillar is simulated in this research work for a frontal crash scenario in LS-Dyna. The inputs to the crash include an acceleration pulse to the seat and the outputs are injury measures in terms of Head Injury Criterion (HIC), Normalized Neck Injury Criterion (NIJ) and Chest Severity Index (CSI). The outcomes from the frontal crash simulation are validated with the results of experimental crash data obtained using post mortem human surrogates (PMHS).Further, the same input files are used for simulation in LS-Opt interface to generate metamodels. First, the X and Z translation of dummy along the seat is provided as input for which there was no variation in the head injury criterion (HIC). Next, the input pulse to the seat is parameterized along with the seatbelt loading and the results are obtained respectively. The outputs, in terms of injury measures, are generated in form of metamodels as a function of the parameters. The occupant model used for frontal crash scenario in LS-Dyna is validated against the previously available crash experimental data.With a 100 data points taken, an increase in various injury measures was observed with an increase in the scale factor of the acceleration pulse. Also it was found that chest severity index increased with an increase in the scale factor of the seat belt loading force
- Notes:
- Vendor supplied data
- Publisher Number:
- 2020-28-0504
- Access Restriction:
- Restricted for use by site license
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