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Search for critical loading condition of the spine-A meta analysis of a nonlinear viscoelastic finite element model

机译:搜索脊柱的临界载荷条件-非线性粘弹性有限元模型的meta分析

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The relative vulnerability of spinal motion segments to different loading combinations remains unknown. The meta-analysis described here using the results of a validated L2-L3 nonlinear viscoelastic finite element model was designed to investigate the critical loading and its effect on the internal mechanics of the human lumbar spine. A Box-Behnken experimental design was used to design the magnitude of seven independent variables associated with loads, rotations and velocity of motion. Subsequently, an optimization method was used to find the primary and secondary variables that influence spine mechanical output related to facet forces, disc pressure, ligament forces, annulus matrix compressive/shear stresses and anulus fibers strain. The mechanical responses with respect to the two most-relevant variables were then regressed linearly using the response surface quadratic model. Axial force and sagittal rotation were identified as the most-relevant variables for mechanical responses. The procedure developed can be used to find the critical loading for finite element models with multi input variables. The derived meta-models can be used to predict the risk associated with various loading parameters and in setting safer load limits.
机译:脊柱运动节段对不同负荷组合的相对脆弱性仍然未知。本文使用经过验证的L2-L3非线性粘弹性有限元模型的结果进行的荟萃分析旨在研究临界载荷及其对人体腰椎内部力学的影响。 Box-Behnken实验设计用于设计与负载,旋转和运动速度相关的七个独立变量的大小。随后,使用一种优化方法来找到影响脊柱机械输出的主要和次要变量,这些变量与小平面力,椎间盘压力,韧带力,环空基质压缩/剪切应力和环空纤维应变有关。然后,使用响应面二次模型对与两个最相关的变量的机械响应进行线性回归。轴向力和矢状旋转被确定为与机械反应最相关的变量。开发的程序可用于查找具有多个输入变量的有限元模型的临界载荷。导出的元模型可用于预测与各种加载参数相关的风险,以及用于设置更安全的负载限制。

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