Evaluation of Optimized Lumped-Parameter Models of Seated Human Body Exposed to Vertical Vibration

Biomechanical modelling of human body has been of great importance in industry, since human body is vulnerable to vibration and chronic exposure to vibration is the culprit behind a great deal of illnesses. biomechanical modelling is based on experimental data and the aim is to create a design basis for vehicles and other stuff in contact with human body. In the present article, information about 3 independent lumped-parameter models and some models which were result of multi-objective op-timization of independent models, are gathered and analysed. Multi-objective optimization is a novel approach, usually deploying genetic algorithms and results of analyzing models in this study suggest that optimization does not necessarily mean improvement. In this study, we numerically simulated above-mentioned models and validated their fitness to experimental data. Final results have proven that 7 degrees of freedom model proposed by Marzbanrad and Afkar is the best fitted model and can be used in industry as a basis for study of human body exposed to random vertical vibration with an almost realistic accuracy

Keywords:

biomechanics , vibration , lumped-parameter model , optimization