Affiliations: [a] School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China | [b] Liaoning University of Traditional Chinese Medicine, Shenyang, China | [c] Liaoning Special Education Teachers College, Shenyang, China
Correspondence:
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Corresponding author: Wei Fan, School of Mechanical Engineering and Automation, Northeastern University, No. 3-11, Wenhua Road, Heping District, Shenyang, 110819, China. Tel./Fax: +86 24 23906969; E-mail: fanwei@mail.neu.edu.cn
Abstract: BACKGROUND:Several finite element (FE) models have been developed to study the effects of vibration on human lumbar spine. However, the authors know of no published results so far that have proposed computed tomography-based FE models of whole lumbar spine including the pelvis to conduct dynamic analysis. OBJECTIVE:To create and validate a three-dimensional ligamentous FE model of the human lower thorax to pelvis spinal segment (T12–Pelvis) and provide a detailed simulation environment to investigate the dynamic characteristics of the lumbar spine under whole body vibration (WBV). METHODS:The T12–Pelvis model was generated based on volume reconstruction from computed tomography scans and validated against the published experimental data. FE modal analysis was implemented to predict dynamic characteristics associated with the first-order vertical resonant frequency and vibration mode of the model with upper body mass of 40 kg under WBV. RESULTS:It was found that the current FE model was validated and corresponded closely with the published data. The obtained results from the modal analysis indicated that the first-order vertical resonant frequency of the T12–Pelvis model was 6.702 Hz, and the lumbar spine mainly performed vertical motion with a small anteroposterior motion. It was also found that shifting the upper body mass centroid onwards or rearwards from the normal upright sitting posture reduced the vertical resonant frequency. CONCLUSIONS:These findings may be helpful to better understand vibration response of the human spine, and provide important information to minimize injury and discomfort for these WBV-exposed occupational groups.
Keywords: Finite element modeling, human spine, lower thorax to pelvis segment, modal analysis, validation
