Predicting ground reaction forces of human gait using a simple bipedal spring-mass model

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

Abstract

Aircraft design must be lightweight and cost-efficient on the condition of aircraft certification. In addition to standard load cases, human-induced loads can occur in the aircraft interior. These are crucial for optimal design but difficult to estimate. In this study, a simple bipedal spring-mass model with roller feet predicted human-induced loads caused by human gait for the use within an end-to-end design process. The prediction needed no further experimental data. Gait movement and ground reaction force (GRF) were simulated by means of two parameter constraints with easily estimable input variables (gait speed, body mass, body height). To calibrate and validate the prediction model, experiments were conducted in which twelve test persons walked in an aircraft mock-up under different conditions. Additional statistical regression models helped to compensate for bipedal model limitations. Direct regression models predicted single GRF parameters as a reference without a bipedal model. The parameter constraint with equal gait speed in experiment and simulation yielded good estimates of force maxima (error 5.3%), while equal initial GRF gave a more reliable prediction. Both parameter constraints predicted contact time very well (error 0.9%). Predictions with the bipedal model including full GRF curves were overall as reliable as the reference.

Details

OriginalspracheEnglisch
Aufsatznummer211582
Seiten (von - bis)211582
Seitenumfang1
FachzeitschriftRoyal Society Open Science
Jahrgang9
Ausgabenummer7
PublikationsstatusVeröffentlicht - 27 Juli 2022
Peer-Review-StatusJa

Externe IDs

unpaywall 10.1098/rsos.211582
PubMed 35911193
Scopus 85135495101
Mendeley 6b20787c-0089-3881-b162-08e98035441b
ORCID /0000-0003-1185-0046/work/155816268

Schlagworte

Schlagwörter

  • bipedal spring-mass model, ground reaction force prediction, human gait, structural design