4-DOF biodynamic lumped-parameter models for a seated occupant
被引:0
作者:
Cheng, Wei
论文数: 0引用数: 0
h-index: 0
机构:
Hefei Univ Technol, Dept Vehicle Engn, Hefei 230009, Peoples R ChinaHefei Univ Technol, Dept Vehicle Engn, Hefei 230009, Peoples R China
Cheng, Wei
[1
]
Xu, Shi-Xu
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h-index: 0
机构:
Hefei Univ Technol, Dept Vehicle Engn, Hefei 230009, Peoples R ChinaHefei Univ Technol, Dept Vehicle Engn, Hefei 230009, Peoples R China
Xu, Shi-Xu
[1
]
Qian, Li-Jun
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h-index: 0
机构:
Hefei Univ Technol, Dept Vehicle Engn, Hefei 230009, Peoples R ChinaHefei Univ Technol, Dept Vehicle Engn, Hefei 230009, Peoples R China
Qian, Li-Jun
[1
]
Bai, Xian-Xu
论文数: 0引用数: 0
h-index: 0
机构:
Hefei Univ Technol, Dept Vehicle Engn, Hefei 230009, Peoples R ChinaHefei Univ Technol, Dept Vehicle Engn, Hefei 230009, Peoples R China
Bai, Xian-Xu
[1
]
机构:
[1] Hefei Univ Technol, Dept Vehicle Engn, Hefei 230009, Peoples R China
来源:
BIOINSPIRATION, BIOMIMETICS, AND BIOREPLICATION 2016
|
2016年
/
9797卷
关键词:
Human dynamics;
lumped-parameter model;
parameter identification;
SIMULATION;
BODY;
D O I:
10.1117/12.2218399
中图分类号:
Q6 [生物物理学];
学科分类号:
071011 ;
摘要:
In order to study how vibrations from ground vehicles/aircraft will impact on the seated occupants, it is of significance to develop an effective biodynamic model for the seated occupants. In this paper, a wide variety of 4-degree-of-freedom (4-DOF) lumped-parameter models for a seated occupant is investigated. A linear 4-DOF model with 18 parameters is deduced and employed as an example. The parameters of the 4-DOF model are identified based on the Pareto optimization principle. The goodness of fit (epsilon) is established and employed to evaluate the effectiveness of the models. Then, all possible linear 4-DOF models are analyzed and discussed with the same parameters identification and effectiveness evaluation. The most-effective two models are obtained and compared with two other existing models. The research results show that: (i) The total types of linear 4-DOF models is limited and all the parameters of models are identifiable; (ii) The number of parameters of the 4-DOF models affects little on the goodness of fit (e); and (iii) The presented models are more effective than the two existing models.