Modeling and parameter identification of seated human body with the reference vector guided evolutionary algorithm

The low frequency vibration of the vehicle in motion has a great influence on the ride comfort of occupants. The research on the vibration response characteristics of human body plays a great role in analyzing and improving ride comfort. The purpose of this study was to investigate the parameter ide...

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Published in:Advances in mechanical engineering Vol. 13; no. 11
Main Authors: Zhang, Shuguang, Shi, Wenku, Chen, Zhiyong
Format: Journal Article
Language:English
Published: London, England SAGE Publications 01.11.2021
Sage Publications Ltd
SAGE Publishing
Subjects:
Damping
Degrees of freedom
Dynamic models
Evolutionary algorithms
Genetic algorithms
Human body
Identification methods
Multiple objective analysis
Optimization
Parameter identification
Passenger comfort
Stiffness
Vibration analysis
Vibration response
dynamic modeling
biomechanics
multi-objective optimization
Vehicle dynamics
parameter identification
ISSN:1687-8140, 1687-8132, 1687-8140
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Abstract The low frequency vibration of the vehicle in motion has a great influence on the ride comfort of occupants. The research on the vibration response characteristics of human body plays a great role in analyzing and improving ride comfort. The purpose of this study was to investigate the parameter identification of seated human body dynamic model. A seven-degree-of-freedom (DOF) lumped parameter model was established to describe the vibration response characteristics of human body. The derivation processes of apparent mass (AM) and seat to head transmissibility (STHT) were performed. After the theoretical calculation of the human body vibration characteristics, we used several different evolutionary algorithms to identify the 23 parameters of the model, including the mass, stiffness and damping parameters. By comparing the results of the five optimization algorithms and comprehensively analyzing the convergence and distribution of the non-dominated solution set, we found that the reference vector guided evolutionary algorithm (RVEA) shows good competitiveness in solving many-objective optimization problem (MaOP), that is, parameter identification of seated human body model in this paper. The AM and STHT calculated by model identification were compared with their measured by experiment. The result shows that the selected seven-DOF model can well describe the vertical vibration characteristics of seated human body and the identification method used in this paper can accurately identify the parameters of lumped parameter model, which provides convenience for the establishment of a complete “road-vehicle-seat-human body” system dynamic model.
AbstractList The low frequency vibration of the vehicle in motion has a great influence on the ride comfort of occupants. The research on the vibration response characteristics of human body plays a great role in analyzing and improving ride comfort. The purpose of this study was to investigate the parameter identification of seated human body dynamic model. A seven-degree-of-freedom (DOF) lumped parameter model was established to describe the vibration response characteristics of human body. The derivation processes of apparent mass (AM) and seat to head transmissibility (STHT) were performed. After the theoretical calculation of the human body vibration characteristics, we used several different evolutionary algorithms to identify the 23 parameters of the model, including the mass, stiffness and damping parameters. By comparing the results of the five optimization algorithms and comprehensively analyzing the convergence and distribution of the non-dominated solution set, we found that the reference vector guided evolutionary algorithm (RVEA) shows good competitiveness in solving many-objective optimization problem (MaOP), that is, parameter identification of seated human body model in this paper. The AM and STHT calculated by model identification were compared with their measured by experiment. The result shows that the selected seven-DOF model can well describe the vertical vibration characteristics of seated human body and the identification method used in this paper can accurately identify the parameters of lumped parameter model, which provides convenience for the establishment of a complete “road-vehicle-seat-human body” system dynamic model.
Author Chen, Zhiyong
Shi, Wenku
Zhang, Shuguang
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  surname: Zhang
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  organization: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China
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  givenname: Wenku
  surname: Shi
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  organization: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China
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  givenname: Zhiyong
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  email: chen_zy@jlu.edu.cn
  organization: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China
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CitedBy_id crossref_primary_10_3390_app131810065
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Issue 11
Keywords dynamic modeling
biomechanics
multi-objective optimization
Vehicle dynamics
parameter identification
Language English
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Snippet The low frequency vibration of the vehicle in motion has a great influence on the ride comfort of occupants. The research on the vibration response...
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SubjectTerms Damping
Degrees of freedom
Dynamic models
Evolutionary algorithms
Genetic algorithms
Human body
Identification methods
Multiple objective analysis
Optimization
Parameter identification
Passenger comfort
Stiffness
Vibration analysis
Vibration response
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Title Modeling and parameter identification of seated human body with the reference vector guided evolutionary algorithm
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