Dorschky E, Krüger D, Kurfess N, Schlarb H, Wartzack S, Eskofier B, van den Bogert AJ (2019)
Publication Type: Journal article
Publication year: 2019
URI: https://www.mad.tf.fau.de/files/2019/08/201904_CMBBE_Dorschky.pdf
DOI: 10.1080/10255842.2019.1601179
Testing sports equipment with athletes is costly, time-consuming, hazardous and sometimes impracticable. We propose a method for virtual testing of running shoes and predict how mid- soles made of BOOSTTM affect energy cost of running. We contribute a visco-elastic contact model and identified model parameters based on load-displacement measurements. We pro- pose a virtual study using optimal control simulation of musculoskeletal models. The predicted reduction in energy cost of 1% for BOOSTTM in comparison to conventional materials is consistent with experimental studies. This indicates that the proposed method is capable of replacing experimental studies in the future.
APA:
Dorschky, E., Krüger, D., Kurfess, N., Schlarb, H., Wartzack, S., Eskofier, B., & van den Bogert, A.J. (2019). Optimal control simulation predicts effects of midsole materials on energy cost of running. Computer Methods in Biomechanics and Biomedical Engineering. https://doi.org/10.1080/10255842.2019.1601179
MLA:
Dorschky, Eva, et al. "Optimal control simulation predicts effects of midsole materials on energy cost of running." Computer Methods in Biomechanics and Biomedical Engineering (2019).
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