Literature DB >> 30987457

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

Eva Dorschky1, Daniel Krüger2, Nicolai Kurfess1, Heiko Schlarb3, Sandro Wartzack2, Bjoern M Eskofier1, Antonie J van den Bogert4.   

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 midsoles 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 propose 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.

Keywords:  Virtual design; footwear; musculoskeletal simulation; running

Mesh:

Year:  2019        PMID: 30987457     DOI: 10.1080/10255842.2019.1601179

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  2 in total

1.  Efficient trajectory optimization for curved running using a 3D musculoskeletal model with implicit dynamics.

Authors:  Marlies Nitschke; Eva Dorschky; Dieter Heinrich; Heiko Schlarb; Bjoern M Eskofier; Anne D Koelewijn; Antonie J van den Bogert
Journal:  Sci Rep       Date:  2020-10-19       Impact factor: 4.379

2.  Three-dimensional data-tracking simulations of sprinting using a direct collocation optimal control approach.

Authors:  Nicos Haralabidis; Gil Serrancolí; Steffi Colyer; Ian Bezodis; Aki Salo; Dario Cazzola
Journal:  PeerJ       Date:  2021-03-08       Impact factor: 2.984

  2 in total

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