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

Additional Organisation(s)

Involved external institutions

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://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: Download