Multibody Biomechanical Modelling of Human Body Response to Direct and Cross Axis Vibration

Desai, Raj; Guha, Anirban; Seshu, P.

doi:10.1016/j.procs.2018.07.062

Cited by 28 publications

(14 citation statements)

References 13 publications

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“…In [12], a two-dimensional 20-DOF model that can be used to study the vertical and fore-aft vibrations was proposed. The parameters were optimised using a GA algorithm.…”

Section: Multibody Modelsmentioning

confidence: 99%

Multibody dynamics analysis of the human upper body for rotorcraft–pilot interaction

2020

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The study of the biodynamic response of helicopter passengers and pilots, when excited by rotorcraft vibrations that are transmitted through the seat and, for the latter, the control inceptors, is of great importance in different areas of aircraft design. Handling qualities are affected by the proneness of the aircraft to give rise to adverse interactions, an unwanted quality that can be captured by the so-called biodynamic feedthrough. On the other hand, the transmissibility of vibrations, especially from the seat to the head, affects the comfort of pilots and passengers during flight. Detailed and parametrised multibody modelling of the human upper body can provide a strong base to support design decisions justified by a first-principles approach. In this work, a multibody model of the upper body is formed by connecting a previously developed detailed model of the arms to a similarly detailed model of the spine. The whole model can be adapted to a specific subject, identified by age, gender, weight and height. The spine model and the scaling procedure have been validated using the experimental results for seat to head transmissibility. The coupled spine-arms model is used to evaluate the biodynamic response in terms of involuntary motion induced on the control inceptors, including the related nonlinearities.

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“…In [12], a two-dimensional 20-DOF model that can be used to study the vertical and fore-aft vibrations was proposed. The parameters were optimised using a GA algorithm.…”

Section: Multibody Modelsmentioning

confidence: 99%

Multibody dynamics analysis of the human upper body for rotorcraft–pilot interaction

2020

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“…The detailed formulation, descriptions and numerical data of the human body and nonlinear cushion contact force models used in this study and their integration with the full vehicle model are presented in previous works [6][7][8] and shown in Fig. 1, 2 and 3. ð Þhas three degrees of freedom (vertical fore-aft and rotational).…”

Section: Mathematical Modellingmentioning

confidence: 99%

Investigation of Internal Human Body Dynamic Forces Developed During a Vehicle Ride

Desai

Guha

Seshu

2020

Mechanisms and Machine Science

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High internal forces in the human body may have adverse effects on internal organs and may cause muscle fatigue. An estimation of these internal forces can help in predicting human body response to different types of seats, seat suspension configuration, and road profiles. It is difficult to experimentally determine these internal forces and moments. This work attempts to predict these forces and moments through 12 degrees of freedom (DoF) human body, nonlinear cushion contact force, and full car (7DoF) model integrated through an inclined multi-compression damper seat suspension. The integrated system is analyzed using MATLAB-SIMULINK for random and bump road profiles. Various response parameters such as human seat interaction and internal joint vertical and fore-aft forces and moments have been studied with different vehicle speeds and distinct types of bump profile. The results indicate that internal forces increase with the rise in vehicle speed and the sine wave bump profile generates lower internal forces compared to a circular bump profile.

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“…Basis on the above analysis, this study only considers the vertical biomechanical characteristics of the human body and the vertical motion of the cycling-trainer. Existing biomechanical models of human body can satisfy different analysis purposes, and their degrees of freedom vary greatly [31][32][33]. The classical 4-DOF (degree-of-freedom) human biomechanical model [34] can better reflect the vertical mechanical characteristics of the human body, so this study adopted the model.…”

Section: Vibration Differential Equationsmentioning

confidence: 99%

Dynamic modeling, simulation and experimental investigation on cycling-trainers equipped with suspensions considering human biomechanical characteristics

Zhao¹,

Yu²,

Zhou³

2020

J. vibroeng.

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At present, to meet the innervation and the comfort of cycling-trainers, the trend of deploying suspension system is still upwards. However, there is no reliable dynamic model for cycling-trainers equipped with suspension systems, and the influence of the suspension damping on the dynamic responses needs to be explored. In this paper, based on a commercially available cycling-trainer with suspension systems, a non-linear dynamic model of trainer-human coupled system was established. According to the bench test, the damping coefficient of suspension dampers was measured. By the cycling test, the dynamic model was validated. The test values of the vertical acceleration of the human lower trunk are in agreement with the simulation values, in which the maximum deviation is less than 15.0 % and the root mean square deviation is less than 8.0 %. Based on the model, the influences of the damper damping on the dynamic responses were analyzed. The results show that the influence laws of the suspension damping characteristics on the human body responses vary greatly under the different riding frequencies, and an optimal damping exists to avoid excessive fatigue caused by vibration under the medium and low frequency riding conditions. The established model and the revealed rules can provide useful reference for the suspension design and optimization of cycling-trainers.

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Multibody Biomechanical Modelling of Human Body Response to Direct and Cross Axis Vibration

Cited by 28 publications

References 13 publications

Multibody dynamics analysis of the human upper body for rotorcraft–pilot interaction

Multibody dynamics analysis of the human upper body for rotorcraft–pilot interaction

Investigation of Internal Human Body Dynamic Forces Developed During a Vehicle Ride

Dynamic modeling, simulation and experimental investigation on cycling-trainers equipped with suspensions considering human biomechanical characteristics

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