Graduate Thesis Or Dissertation
 

Using Digital Human Modeling to Evaluate and Improve Car Pillar Design: A Proof of Concept and Design of Experiments

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/gt54kv73t

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  • Considering human factors in early engineering design stages can improve expensive late stage processes, facilitate user safety, improve product quality and help reduce the need for physical prototyping. Currently, car pillar design (the vertical pillars between windows which connect the roof and car body) provide safety for the passengers in case of a rollover accident. However, these pillars are known to cause accidents because of the vision they obstruct or limit. Literature suggests solutions to this problem by changing the position, geometry and using cameras for an augmented display but these can be expensive, not eliminate the obstruction zone or may require extensive physical prototyping. This research suggests a methodology to analyze and improve vision obstruction through by integrating Computer Aided Design Models (CAD) and Jack Digital Human Modeling (DHM) Software. This research then provides greater evidence through a Design of Experiments to compare different car pillar designs for percent area visible. The results conclude that this is a valuable method to test the amount of vision be obstructed by the pillars. Additionally, the research concludes that provide cuts within the car pillar geometry can provide increased visibility. The results include; four car models, four traffic scenes, six driver anthropometries, four pedestrian anthropometries, percent area of vision obstruction values, generalized Finite Element Analysis (FEA) of pillar designs and statistical models and analyses to prove significance of the car pillar improvements.
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