Body scan processing, generative design, and multiobjective evaluation of sports bras
Name
applsci-10-06126-v2.pdf
Size
15.84 MB
Format
Adobe PDF
Checksum (MD5)
8d9cb750f17668255bf88f122fd9d003
Author(s)
Bosquet, Audrey N.
Mueller, Caitlin
Hosoi, A.E.
Date Issued
September 2020
Journal
Applied Sciences
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Bosquet, Audrey, Caitlin Mueller, and A.E. Hosoi. "Body scan processing, generative design, and multiobjective evaluation of sports bras." Applied Sciences 10, 17 (September 2020): 6126 ©2020 Author(s)
Version
Final published version
Abstract
Sports bras are critical to the comfort and performance of female athletes, yet mechanical models of sports bras are generally not used to guide their design. Typically, assessing any sports bra’s performance requires time-consuming and expensive biomechanical testing, which limits the number of designs considered. To more broadly advance knowledge on how different design properties of sports bras affect their performance, this paper presents a new design framework to explore and evaluate the sports bra design space. The framework incorporates methods for body scan analysis, fast simulation, design generation, and performance evaluation. Using these methods together enables the rapid exploration of hundreds, or thousands, of designs--each one having been evaluated on key metrics related to sports bra performance, namely, range of motion and average pressure. With this framework, designers can potentially discover a diverse set of new, high-performing sports bra concepts, as well as gain insights into how design decisions affect performance.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/app10176126
