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Nine linear discrete lumped parameter models are investigated to approximate a human beings dynamic response subjected to vertical seat vibration, ranging from two to seven degrees of freedom (DOF). Each model described has a unique biodynamic configuration that simulates the impedance and vibration transmissibility behaviour for different sections of the human body. A comparative study supported by published data is conducted for all nine models to distinguish the different groups of models that depict the seat to head transmissibility, seat-person transmissibility and mechanical impedance…mehr

Produktbeschreibung
Nine linear discrete lumped parameter models are investigated to approximate a human beings dynamic response subjected to vertical seat vibration, ranging from two to seven degrees of freedom (DOF). Each model described has a unique biodynamic configuration that simulates the impedance and vibration transmissibility behaviour for different sections of the human body. A comparative study supported by published data is conducted for all nine models to distinguish the different groups of models that depict the seat to head transmissibility, seat-person transmissibility and mechanical impedance characteristics applied to vehicle seats for normal driving conditions. The 2, 3 and 4 DOF models are able to simulate both the discomfort levels experienced in the head and mechanical impedance behaviour. The seat-person transmissibility and discomfort in the lower torso, legs and thighs are best described using the 3 and 5 DOF models. A sensitivity analysis in respect of biodynamic stiffness and damping variations is performed to ascertain the resilience of applying each model to different vibration environments.
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Autorenporträt
Niresh Behari is a Mechanical Engineer with more than 20 years experience in the field of process safety and vibration engineering while working in the petro chemicals sector. He has also published peer reviewed articles in the fields of vibration transmission and quantitative risk screening approaches that are used for gas explosion modelling.