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Modeling and experimental validation of walking processes

Nigmatullin Raoul R., Morozov Arsenii L., Awrejcewicz Jan, Ludwicki Michal

Biocybernetics and Biomedical Engineering

2020

Vol. 40, no. 1

200--210

The so-called intermediate model (IM) was applied in the paper to quantitatively describe complex trajectories. Using this model it was possible to find the proper fitting function for describing random trajectories that were recorded during the walking process performed by a volunteer. Experimental data were acquired using a three-dimensional Motion Capture system during normal gait of a healthy person on an automatic treadmill. The major aim of this research was to find if the IM is applicable to fit typical biomechanical measurement data. Motion Capture data collection is very time-consuming and requires a lot of memory, so storing movement trajectories in a parametric form helps to increase the data processing efficiency and mathematical analysis. As a result of the original treatment procedure described in this paper, we obtained a very accurate fit of the measured data. The results of this research can be used to model the movement of mechanical devices and for diagnostic purposes.

Evaluating the influence of selected parameters on sensitivity of a numerical model of solidification

Sczygiol N., Dyja R.

Archives of Foundry Engineering

2007

Vol. 7, iss. 4

159-164

Presented paper contains evaluation of influence of selected parameters on sensitivity of a numerical model of solidification. The investigated model is based on the heat conduction equation with a heat source and solved using the finite element method (FEM). The model is built with the use of enthalpy formulation for solidification and using an intermediate solid fraction growth model. The model sensitivity is studied with the use of Morris method, which is one of global sensitivity methods. Characteristic feature of the global methods is necessity to conduct a series of simulations applying the investigated model with appropriately chosen model parameters. The advantage of Morris method is possibility to reduce the number of necessary simulations. Results of the presented work allow to answer the question how generic sensitivity analysis results are, particularly if sensitivity analysis results depend only on model characteristics and not on things such as density of the finite element mesh or shape of the region. Results of this research allow to conclude that sensitivity analysis with use of Morris method depends only on characteristic of the investigated model.