Abdul Samad, Mohd Syazwan (2022) Development of malaysian-size hybrid iii anthropomorphic test device’s model for frontal impact safety assessment. Doctoral thesis, Universiti Tun Hussein Onn Malaysia.
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Abstract
Anthropomorphic test devices (ATDs) are used to assess vehicle occupant injuries during a crash event. In general, the Hybrid III 50th percentile (H350) is used to optimise vehicle restraint systems. However, the H350 is developed based on the United States population’s anthropometric sizes. Thus, it can be hypothesised that the vehicle restraint systems are not optimised for the Malaysian population. The hypothesis is supported by studies on the Chinese-size ATD. To explore this issue, it is necessary to develop a Hybrid III 50th percentile Malaysian-size (H350M) ATD. First, a donor H350 finite element was validated against standard biofidelity response corridors. Then, it was scaled using the global scale factor of 0.9437 to meet the 50th percentile Malaysian anthropometric sizes. Validations of the H350M were performed by using a new set of biofidelity response corridors. After the validation process, the H350 and H350M were integrated into a validated vehicle model and restraint systems. Simulations of Full-Width Rigid Barrier at 56 km/h (FRB 56 km/h) and Offset Deformable Barrier at 64 km/h (ODB 64 km/h) were performed to compare the injuries of the H350 and H350M. A total of 12 simulations of frontal crash load cases were conducted at various impact speeds from 30 km/h to 64 km/h. Paired t-test indicated that H350M 3ms chest acceleration and chest displacement were higher than those of the H350 for almost every frontal load case with p-values less than 0.05. This research also showed that H350M head acceleration and chest displacement can be reduced by 5.3g and 1.6 mm, respectively, with the introduction of a new set of restraint system parameters. Lastly, a Vehicle Pulse Index with new parameters was proposed. It can predict the H350M occupant’s peak chest acceleration by using the vehicle acceleration profile as an input, with a root mean square error of 2.86 g. The model will help vehicle manufacturers predict occupant responses at the early stage of vehicle development
Item Type: | Thesis (Doctoral) |
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Subjects: | T Technology > T Technology (General) |
Depositing User: | Pn Sabarina binti Che Mat |
Date Deposited: | 29 Apr 2024 01:55 |
Last Modified: | 29 Apr 2024 01:55 |
URI: | http://eprintsthesis.uthm.edu.my/id/eprint/114 |
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