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PROJECTS

Computational Occupant Packaging

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Abstract

Implementing digital human modeling (DHM) with physical or digital mockups brings the advantages of running various “what-if” design scenarios early in design; thus, enhancing concept generation efforts by filtering out infeasible ideas and exploring better design alternatives. This project illustrates an integrated vehicle packaging study focusing on the concept development of Formula-1 (F1) race car monocoque chassis (safety cell) from the driver's fit and comfort perspectives using DHM. The conceptual study integrates computer-aided modeling (e.g., parametric and surface modeling), computer-aided simulation (e.g., fluid dynamics), and computer-aided ergonomics (e.g., digital human modeling) for early phase design. It also presents a validation study through CAVE (automatic immersive virtual environment), where designers evaluate design decisions via an immersive representation of the F1 vehicle. This study challenges the standard joint angle analysis assessments, which are based on the “most often adopted” empirical data that concentrates on regular drivers, which does not address unique comfort assessment needs required by special populations, such as F1 drivers. 

Keywords:

Computer-Aided Engineering | Digital Human Modeling | Occupant Packaging | Vehicle Ergonomics | CAVE - Virtual Design

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The study illustrates a snapshot from an integrated vehicle packaging study focusing on the Formula-1 (F1) race car monocoque chassis safety cell concept development and evaluation.

Publication

H. O. Demirel, S. Ahmed, and V. G. Duffy, “Digital human modeling: a review and reappraisal of origins, present, and expected future methods for representing humans computationally,” International Journal of Human–Computer Interaction, vol. 38, no. 10, pp. 897–937, 2022, doi: 10.1080/10447318.2021.1976507.

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