Optimal control simulation predicts effects of midsole materials on energy cost of running

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autor(en): Dorschky E, Krüger D, Kurfess N, Schlarb H, Wartzack S, Eskofier B, van den Bogert AJ
Zeitschrift: Computer Methods in Biomechanics and Biomedical Engineering
Jahr der Veröffentlichung: 2019
ISSN: 1025-5842


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.


FAU-Autoren / FAU-Herausgeber

Dorschky, Eva
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
Eskofier, Björn Prof. Dr.
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
Krüger, Daniel
Lehrstuhl für Konstruktionstechnik
Wartzack, Sandro Prof. Dr.-Ing.
Lehrstuhl für Konstruktionstechnik


Autor(en) der externen Einrichtung(en)
Adidas AG
Cleveland State University


Zitierweisen

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://dx.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: 

Zuletzt aktualisiert 2019-17-04 um 12:38