Optimal control simulation predicts effects of midsole materials on energy cost of running
Dorschky E, Krüger D, Kurfess N, Schlarb H, Wartzack S, Eskofier B, van den Bogert AJ (2019)
Publication Type: Journal article
Publication year: 2019
Journal
URI: https://www.mad.tf.fau.de/files/2019/08/201904_CMBBE_Dorschky.pdf
DOI: 10.1080/10255842.2019.1601179
Abstract
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.
Authors with CRIS profile
Eva Dorschky
Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)
Daniel Krüger
Chair of Engineering Design (KTmfk)
Sandro Wartzack
Chair of Engineering Design (KTmfk)
Björn Eskofier
Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)
Additional Organisation(s)
Involved external institutions
United States (USA) (US)
Germany (DE)How to cite
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).
BibTeX: Download