Effective seat-to-head transmissibility in whole-body vibration: Effects of posture and arm position

Rahmatalla, Salam; DeShaw, Jonathan

doi:10.1016/j.jsv.2011.07.034

Cited by 38 publications

(25 citation statements)

References 24 publications

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“…One major advantage of the marker system, besides being passive and low weight, is its capability to measure the motion components in the local and global coordinate systems irrespective of the local orientations. Still, in the author's experience, marker data would be questionable at very low frequencies and above 12 Hz due to the noise in the marker system; also, acceleration data calculated from marker data is prone to significant error unless care is taken in handling and filtering the data (Rahmatalla and DeShaw, 2011b).…”

Section: Discussionmentioning

confidence: 99%

“…The finite difference method was used to calculate the velocity and acceleration from the position-based markers. The accelerometer was used as a guide for the subsequent filtering and postprocessing of the marker data and as described by Rahmatalla and DeShaw (2011b). Vibration was generated using a six-degree-of-freedom man-rated vibration platform (Moog-FCS, Ann Arbor, MI, USA).…”

Section: Measurementsmentioning

confidence: 99%

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An active head–neck model in whole-body vibration: Vibration magnitude and softening

Rahmatalla

Liu

2012

Journal of Biomechanics

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Section: Discussionmentioning

confidence: 99%

Section: Measurementsmentioning

confidence: 99%

An active head–neck model in whole-body vibration: Vibration magnitude and softening

Rahmatalla

Liu

2012

Journal of Biomechanics

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“…Transmissibility is a widely used transfer function for the biomechanical response under vibration [36,39,[66][67][68][69]. In the case of base motion, the transmissibility between two output locations k and l can be defined in the frequency domain as the ratio between two responses at locations k and l relative to the base motion, such as…”

Section: Analysis In the Frequency Domainmentioning

confidence: 99%

“…Different types of transfer functions correlated with the input forcing motion, and the output motion in the frequency domain was determined and used to predict the modal parameters during seated and standing postures. These transfer functions included the apparent mass, impedance, and transmissibility[36][37][38][39][40]. Human natural frequencies, usually the damped natural frequencies, have traditionally been determined from the peaks in the experimental transfer functions.…”

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confidence: 99%

Identification of physical parameters of biological and mechanical systems under whole-body vibration

Qiao¹

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for their guidance and suggestions. Furthermore, I would like to thank Jonathan DeShaw for the experiments and data processing. I also would like to thank Ulysses Grant for his assistance on the experiments. Without them, I could not have run my experiments or built my data so smoothly.Additionally, I would like to express my special thanks to my parents, Junmei Qiao and Yulan Fu. I can feel love and support from them, even if over more than ten thousand kilometers.Finally, my sincere thanks to all my friends for your appearances in my life and sharing happiness with me.iii ABSTRACTThe identification of the physical parameters (mass, stiffness, and damping) of structural, mechanical, and biomechanical systems is a major challenge in many applications, especially when dealing with old systems and biological systems with heavy damping and where environmental noises are presented. This work presents a novel methodology called eigenvector phase correction (EVPHC) to solve for the physical parameters of structural and biomechanical systems even with the existence of a significant amount of noise. The method was first tested on structural/mechanical systems and showed superior results when compared with an iterative method from the literature.EVPHC was then developed and used to identify the physical parameters of supine humans under vertical whole-body vibration. Modal parameters of fifteen human subjects, in the supine position, were first identified in this work using experimentation under vertical whole-body vibration. EVPHC was then used to solve an inverse modal problem for the identification of the stiffness and damping parameters at the cervical and lumbar areas of supine humans. The results showed that the resulting physical parameters were realistically close to those presented in the literature. The proposed human model was able to predict the time histories of the acceleration at the head, chest, pelvis, and legs very closely to those of the experimental measured values. A scaling methodology is also presented in this work, where an average human model was scaled to an individual subject using the body mass properties. iv PUBLIC ABSTRACTThe purpose of the work presented is to introduce a novel methodology to identify the unknown physical properties of structural, mechanical, and biomedical systems. Data is collected from vibration experiments on human beings. Then the collected data is utilized to characterize the vibration of the supine human and further identify the physical properties of the supine human. v

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“…Experiments have added a considerable amount of knowledge and understanding of the human response to the WBV environment, with most recent studies highlighting the critical role of human postures on the biodynamic response (Kittusamy and Buchholz, 2004;Mansfield and Maeda, 2005;Wang et al, 2006;Smith, 2000;DeShaw, 2011a and2011b;Mandapuram et al, 2011).…”

Section: Seated Positionmentioning

confidence: 99%

Passive and muscle-based predictive computer models of seated and supine humans in whole-body vibration

Wang¹

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Studies in human response to whole-body vibration, such those encountered in heavy machinery and ground and aerial transportation, have highlighted the critical role of the head-neck posture of seated human occupants and the role of the transport system of a supine human on the severity of the transmitted vibration to the human body. Novel passive and muscle-based models are introduced in this work to predict the biodynamical response of the human under whole-body vibration in seated and supine postures. Planar and three-dimensional models representing the human head-neck system under different seated postures and fore-aft and multiple-axis whole-body vibration are first introduced. In these models, the head-neck system is represented by rigid links connected via spring-damper components representing the soft-tissue and connecting elements between the bones. Additional muscle components are added to some models. The muscle components comprise additional mass, spring, and damper elements arranged in a special order to capture the effect of changes in the displacement, velocity, acceleration, and jerk. The results show that the proposed models are able to predict the displacement and acceleration of the head under different vibration files, with the musclebased models showing better performance than the passive models. The second set of models is introduced in this work to investigate the effect of the underlying transport system conditions on the response of supine humans under vertical and multiple-axis whole-body vibration. In these models, the supine-human body is represented by three rigid links representing the head, torso/arms, and legs. The links are connected via rotational and translational joints, and therefore, it is expected that the models can capture the coupling effects between adjacent segments. The joints comprise translational and rotational spring-damper components that represent the soft tissue and the connecting elements between the segments. The contact surfaces between the supine vi 3.3.4 Solution Approach .

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Effective seat-to-head transmissibility in whole-body vibration: Effects of posture and arm position

Cited by 38 publications

References 24 publications

An active head–neck model in whole-body vibration: Vibration magnitude and softening

An active head–neck model in whole-body vibration: Vibration magnitude and softening

Identification of physical parameters of biological and mechanical systems under whole-body vibration

Passive and muscle-based predictive computer models of seated and supine humans in whole-body vibration

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