Parametric convergence sensitivity and validation of a finite element model of the human lumbar spine
Parametric convergence sensitivity and validation of a finite element model of the human lumbar spine
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DOI：
10.1080/10255842.2010.493517
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发表时间：
2011-01-01
影响因子：
1.6
通讯作者：
Puttlitz, Christian M.
中科院分区：
文献类型：
--
作者：
Ayturk, Ugur M.;Puttlitz, Christian M.
本研究的主要目的是生成人体腰椎（L1-L5）的有限元模型，验证每个组织成分的网格收敛性，并使用运动学/动力学和应力/应变数据进行广泛确认。通过对每个脊柱组织的应变能密度（SED）预测的收敛来完成网格细化。基于活动度、椎间盘内压力、小关节力传递、前外侧皮质骨应变和前纵韧带变形预测，对收敛模型进行了验证。网格分辨率的变化对轴向旋转载荷下的SED预测影响最大。精确地模拟了力矩-转角曲线的非线性，对上述参数的模型预测与实验数据吻合良好。经验证和收敛的模型将用于研究退变对腰椎生物力学的影响，以及研究当代治疗策略的力学基础。
The primary objective of this study was to generate a finite element model of the human lumbar spine (L1-L5), verify mesh convergence for each tissue constituent and perform an extensive validation using both kinematic/kinetic and stress/strain data. Mesh refinement was accomplished via convergence of strain energy density (SED) predictions for each spinal tissue. The converged model was validated based on range of motion, intradiscal pressure, facet force transmission, anterolateral cortical bone strain and anterior longitudinal ligament deformation predictions. Changes in mesh resolution had the biggest impact on SED predictions under axial rotation loading. Nonlinearity of the moment-rotation curves was accurately simulated and the model predictions on the aforementioned parameters were in good agreement with experimental data. The validated and converged model will be utilised to study the effects of degeneration on the lumbar spine biomechanics, as well as to investigate the mechanical underpinning of the contemporary treatment strategies.