Modeling the Human Mandible Under Masticatory Loads: Which Input Variables are Important?
Modeling the Human Mandible Under Masticatory Loads: Which Input Variables are Important?
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DOI：
10.1002/ar.22455
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发表时间：
2012-05-01
影响因子：
2
通讯作者：
O'Higgins, Paul
中科院分区：
文献类型：
--
作者：
Groening, Flora;Fagan, Michael;O'Higgins, Paul
有限元分析（FEA），模拟咀嚼负荷的人下颌骨显着不同的基本输入变量，如材料特性，约束，和施加的力。通过灵敏度分析，可以评估不同输入值的选择和模型简化程度如何影响FEA结果。然而，已发表的有限元分析研究很少伴随着敏感性分析，使其结果的稳健性是不可能评估。在这里，我们进行灵敏度分析与有限元模型的人类下颌骨量化的几个建模决策的相对重要性：（1）分配给松质骨组织的材料属性;（2）包括或不包括牙周韧带;（3）在关节和咬合点的约束;（4）施加的肌肉力量的方向。我们通过分析模型表面的应变大小和方向来研究改变这些属性的影响。此外，我们进行了几何形态分析的变形所造成的负载的每个模型。结果表明，改变不同的模型属性的影响可能是显着的，大多数的影响是潜在的大到足以造成问题的有限元分析结果的生物学解释。因此，我们建议研究人员进行比目前更多的敏感性分析，以评估其FEA结果和生物学结论的稳健性。Anat Rec，2012. (c)2012 Wiley Periodicals，Inc.
Finite element analyses (FEA) that have simulated masticatory loadings of the human mandible differ significantly with regard to their basic input variables such as material properties, constraints, and applied forces. With sensitivity analyses it is possible to assess how the choice of different input values and the degree of model simplification affect FEA results. However, published FEA studies are rarely accompanied by sensitivity analyses so that the robusticity of their results is impossible to assess. Here, we conduct a sensitivity analysis with an FE model of a human mandible to quantify the relative importance of several modeling decisions: (1) the material properties assigned to the cancellous bone tissue; (2) the inclusion or not of the periodontal ligament; (3) the constraints at the joints and bite point; and (4) the orientation of applied muscle forces. We study the effects of varying these properties by analysing the strain magnitudes and directions across the model surface. In addition, we perform a geometric morphometric analysis of the deformation resulting from the loading of each model. The results show that the effects of altering the different model properties can be significant and that most effects are potentially large enough to cause problems for the biological interpretation of FEA results. We therefore recommend that researchers conduct more sensitivity analyses than at present to assess the robusticity of their FEA results and their biological conclusions. Anat Rec, 2012. (c) 2012 Wiley Periodicals, Inc.