Biodynamic modeling of seated human subjects exposed to uncoupled vertical and fore-and-aft whole-body vibration

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Abstract

In this article, the biodynamic responses of Seated Human Subjects (SHS) exposed to uncoupled vertical and fore-and-aft Whole-Body Vibration (WBV) are modeled. The mathematical model can be used to obtain a better insight into the mechanisms and biodynamic behavior of the SHS system. The main limitation of some previous SHS models is that they were derived to satisfy a single biodynamic response function. Such an approach may provide a reasonable fit with the function data being considered but uncertain matches with the others. The model presented in this study is based on all three types of biodynamic response functions: Seat-To-Head Transmissibility (STHT), Driving-Point Mechanical Impedance (DPMI) and Apparent Mass (APM). The objective of this work is to match all three functions and to represent the biodynamic behavior of SHS in a more comprehensive way. Three sets of synthesized experimental data from published literature are selected as the target values for each of the three transfer functions. A curve fitting method is used in the parameter identification process which involves the solution of a multi variable optimization function comprising the root mean square errors between the computed values using the model and those target values measured experimentally. Finally, a numerical simulation of the frequency response of the model in terms of all three biodynamic functions has been carried out. The results show that an improved fit is achieved compared with the existing models.

LanguageEnglish
Pages301-314
Number of pages14
JournalJournal of Vibration Engineering and Technologies
Volume3
Issue number3
StatusPublished - 1 Jul 2015

Fingerprint

biodynamics
vibration
mechanical impedance
parameter identification
root-mean-square errors
curve fitting
Curve fitting
Seats
Mean square error
transfer functions
frequency response
seats
Frequency response
Transfer functions
mathematical models
Identification (control systems)
Mathematical models
optimization
Computer simulation

Keywords

  • Biodynamics
  • Lumped-parameter models
  • Seated human subjects
  • Whole-body vibration

Cite this

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title = "Biodynamic modeling of seated human subjects exposed to uncoupled vertical and fore-and-aft whole-body vibration",
abstract = "In this article, the biodynamic responses of Seated Human Subjects (SHS) exposed to uncoupled vertical and fore-and-aft Whole-Body Vibration (WBV) are modeled. The mathematical model can be used to obtain a better insight into the mechanisms and biodynamic behavior of the SHS system. The main limitation of some previous SHS models is that they were derived to satisfy a single biodynamic response function. Such an approach may provide a reasonable fit with the function data being considered but uncertain matches with the others. The model presented in this study is based on all three types of biodynamic response functions: Seat-To-Head Transmissibility (STHT), Driving-Point Mechanical Impedance (DPMI) and Apparent Mass (APM). The objective of this work is to match all three functions and to represent the biodynamic behavior of SHS in a more comprehensive way. Three sets of synthesized experimental data from published literature are selected as the target values for each of the three transfer functions. A curve fitting method is used in the parameter identification process which involves the solution of a multi variable optimization function comprising the root mean square errors between the computed values using the model and those target values measured experimentally. Finally, a numerical simulation of the frequency response of the model in terms of all three biodynamic functions has been carried out. The results show that an improved fit is achieved compared with the existing models.",
keywords = "Biodynamics, Lumped-parameter models, Seated human subjects, Whole-body vibration",
author = "Zengkang Gan and Hillis, {Andrew J.} and Jocelyn Darling",
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N2 - In this article, the biodynamic responses of Seated Human Subjects (SHS) exposed to uncoupled vertical and fore-and-aft Whole-Body Vibration (WBV) are modeled. The mathematical model can be used to obtain a better insight into the mechanisms and biodynamic behavior of the SHS system. The main limitation of some previous SHS models is that they were derived to satisfy a single biodynamic response function. Such an approach may provide a reasonable fit with the function data being considered but uncertain matches with the others. The model presented in this study is based on all three types of biodynamic response functions: Seat-To-Head Transmissibility (STHT), Driving-Point Mechanical Impedance (DPMI) and Apparent Mass (APM). The objective of this work is to match all three functions and to represent the biodynamic behavior of SHS in a more comprehensive way. Three sets of synthesized experimental data from published literature are selected as the target values for each of the three transfer functions. A curve fitting method is used in the parameter identification process which involves the solution of a multi variable optimization function comprising the root mean square errors between the computed values using the model and those target values measured experimentally. Finally, a numerical simulation of the frequency response of the model in terms of all three biodynamic functions has been carried out. The results show that an improved fit is achieved compared with the existing models.

AB - In this article, the biodynamic responses of Seated Human Subjects (SHS) exposed to uncoupled vertical and fore-and-aft Whole-Body Vibration (WBV) are modeled. The mathematical model can be used to obtain a better insight into the mechanisms and biodynamic behavior of the SHS system. The main limitation of some previous SHS models is that they were derived to satisfy a single biodynamic response function. Such an approach may provide a reasonable fit with the function data being considered but uncertain matches with the others. The model presented in this study is based on all three types of biodynamic response functions: Seat-To-Head Transmissibility (STHT), Driving-Point Mechanical Impedance (DPMI) and Apparent Mass (APM). The objective of this work is to match all three functions and to represent the biodynamic behavior of SHS in a more comprehensive way. Three sets of synthesized experimental data from published literature are selected as the target values for each of the three transfer functions. A curve fitting method is used in the parameter identification process which involves the solution of a multi variable optimization function comprising the root mean square errors between the computed values using the model and those target values measured experimentally. Finally, a numerical simulation of the frequency response of the model in terms of all three biodynamic functions has been carried out. The results show that an improved fit is achieved compared with the existing models.

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