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Engineering Review : International journal for publishing of original researches from the aspect of structural analysis, materials and new technologies in the field of mechanical engineering, shipbuilding, fundamental engineering sciences, computer sciences, electrical engin, Vol. 40 No. 3, 2020.

Original scientific paper

https://doi.org/10.30765/er.40.3.01

Parameter identification of the interaction body model using available measurements

Qingwen Zhang ; Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, ChinaKey Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry andInformation
Zheng Li orcid id orcid.org/0000-0001-5812-0492 ; Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, ChinaKey Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry andInformation
Yu Zhang ; Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, ChinaKey Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry andInformation
Tianjian Ji ; School of Mechanical, Aerospace and Civil Engineering, The University of Manchester, UK

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Abstract

This paper determines the parameters of the interaction models based on available published experimental measurements. The masses, damping ratios and stiffnesses of body models are identified by the curve fitting of the measured apparent mass curves from shaking table tests in published biomechanics studies. Then the extracted data are used to identify the parameters of the interaction models. Finally, the eigenvalue analyses of the human-structure models are calculated for comparison. In this identification process, it was identified that the quality of the curve fitting for the interaction model is as good as and even slightly better than the published results. One or two additional conditions for the interaction models would lead to several sets of parameters, but with the result of the continuous model, reasonable parameters have to be applied which can be identified and these parameters could be used in further calculations.

Keywords

parameter identification; interaction model

Hrčak ID:

238260

URI

https://hrcak.srce.hr/238260

Publication date:

21.5.2020.

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