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Modal parameters of the human hand-arm using finite element andoperational modal analysis

Published online by Cambridge University Press:  16 September 2014

S. Adewusi ,
M. Thomas ,
V.H. Vu  and
W. Li
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Abstract

This study presents a finite element (FE) model of the human hand-arm system to derivenatural frequencies and mode shapes. The FE model is calibrated by considering modalparameters obtained from experimental vibration analyzed by using operational modalanalysis (OMA) and transmissibility. Modal and harmonic analyses of the FE model areperformed for two boundary conditions. The first one considers fixed shoulder conditionwhile the second one introduces the trunk in order to permit motion of the shoulder. Theresults show that the natural frequencies of the second model that permits shoulder motionare comparable with those determined from measurements. Especially, the natural frequencyabout 12 Hz, which is corresponding to the frequency of maximum weight in ISO-5349-1(2001), is not present in the model with fixed shoulder condition, while it appears in thesecond model. The results of the present study suggest that improved finite element modelsof the human hand-arm system may reveal hand-arm injury mechanism, the understanding ofwhich may assist in deriving appropriate frequency weightings for the assessment ofdifferent components of the hand-arm vibration syndrome.

Keywords

Hand-arm systemfinite elementvibration measurementsISO 5349-1
Type
Research Article
Information
Mechanics & Industry , Volume 15 , Issue 6 , 2014 , pp. 541 - 549
Copyright
© AFM, EDP Sciences 2014

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References

Bovenzi, M., Exposure-response relationship in the hand–arm vibration syndrome: an overview of current epidemiology research, Int. Arch. Occup. Environ. Health 71 (1998) 509–519 CrossRefGoogle ScholarPubMed
Aldien, Y., Marcotte, P., Rakheja, S., Boileau, P.-É., Influence of hand-arm posture on biodynamic response of the hand-arm exposed to z h-axis vibration, IJIE 36 (2006) 45–59 Google Scholar
Nilsson, T., Burström, L., Hagberg, M., Risk assessment of vibration exposure and white fingers among platers, Int. Arch. Occup. Environ. Health 61 (1989) 473–481 CrossRefGoogle ScholarPubMed
ISO 5349-1, Mechanical vibration and shock – Measurement and evaluation of human exposure to mechanical vibration, International Organization for Standardization, 2001
M. Thomas, Y. Beauchamp, Development of a new frequency weighting filter for the assessment of grinder exposure to wrist-transmitted vibration, 22nd ICC&IE, 1997 Cairo, Egypt, Dec 20-22, 4p.
Rakheja, S., Wu, J.Z., Dong, R.G., Schopper, A.W., A comparison of biodynamic models of the human hand-arm for applications to hand-held power tools, J. Sound Vib. 249 (2002) 55–82 CrossRefGoogle Scholar
Adewusi, S.A., Rakheja, S., Marcotte, P., Biomechanical Models of the Human Hand-arm to Simulate Distributed Biodynamic Responses for Different Postures, Int. J. Ind. Ergon. 42 (2012) 249–260 CrossRefGoogle Scholar
S. Adewusi, M. Thomas, H. Vu, Natural frequencies of the hand-arm system using finite element method, Proceedings of the 4th American Conference on Human Vibration, Hartford, Connecticut, USA, June 13–14, 2012, 17–18
Vu, V.H., Thomas, M., Lakis, A.A., Marcouiller, L., Operational modal analysis by updating autoregressive model, Mech. Syst. Signal Process. 25 (2011) 1028–1044 CrossRefGoogle Scholar
Wu, J.Z., Dong, R.G., Rakheja, S., Schopper, A.W., Simulation of mechanical responses of fingertip to dynamic loading, Med. Eng. Phys. 24 (2002) 253–264 CrossRefGoogle ScholarPubMed
Adewusi, S.A., Rakheja, S., Marcotte, P., Boutin, J., Vibration transmissibility characteristics of the human hand-arm system under different postures, hand forces and excitation levels, J. Sound Vib. 329 (2010) 2953–2971 CrossRefGoogle Scholar
Reynolds, D.D., Angevine, E.N., Hand-arm vibration. Part II: vibration transmission characteristics of the hand and arm, J. Sound Vib. 51 (1977) 255–265 CrossRefGoogle Scholar
Sakakibara, H., Kondo, T., Miyao, M., Yamada, S., Nakagawa, T., Kobayashi, F., Ono, Y., Transmission of hand-arm vibration to the head, Scand. J. Work Environ Health 12 (1986) 359–361 CrossRefGoogle Scholar
Loren, G.J., Lieber, R.L., Tendon biomechanical properties enhance wrist muscle specialization, J. Biomechanics 128 (1995) 791–799 CrossRefGoogle Scholar
Maganaris, C.N., Paul, J.P., In vivo human tendon mechanical properties, J. Physiol. 521 (1999) 307–313 CrossRefGoogle ScholarPubMed
Wirtz, D.C., Schiffers, T., Pandorf, T., Radermacher, K., Weichert, D., Forst, R., Critical evaluation of known bone material properties to realize anisotropic FE simulation of the proximal femur, J. Biomech. 33 (2000) 1325–1330 CrossRefGoogle ScholarPubMed
Dong, J.H., Dong, R.G., Rakheja, S., Welcome, D.E., McDowell, T.W., Wu, J.Z., A method for analyzing absorbed power distribution in the hand and arm substructures when operating vibration tools, J. Sound Vibr. 311 (2008) 1286–1304CrossRefGoogle Scholar