RETRACTED: What makes an accurate and reliable subject-specific finite element model? A case study of an elephant femur (Retracted article. See vol. 11, 20140854, 2014)

被引:19
|
作者
Panagiotopoulou, O. [1 ]
Wilshin, S. D. [1 ]
Rayfield, E. J. [2 ]
Shefelbine, S. J. [3 ]
Hutchinson, J. R. [1 ]
机构
[1] Univ London, Struct & Mot Lab, Dept Vet Basic Sci, Royal Vet Coll, London, England
[2] Univ Bristol, Dept Earth Sci, Bristol, Avon, England
[3] Univ London Imperial Coll Sci Technol & Med, Dept Bioengn, London, England
基金
英国生物技术与生命科学研究理事会;
关键词
finite-element analysis; elephant; bone mechanics; validation; simulation; FUNCTIONAL-MORPHOLOGY; PROXIMAL FEMUR; STRAIN; BONE; SENSITIVITY; STRENGTH; VALIDATION; LIGAMENT;
D O I
10.1098/rsif.2011.0323
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Finite element modelling is well entrenched in comparative vertebrate biomechanics as a tool to assess the mechanical design of skeletal structures and to better comprehend the complex interaction of their form-function relationships. But what makes a reliable subject-specific finite element model? To approach this question, we here present a set of convergence and sensitivity analyses and a validation study as an example, for finite element analysis (FEA) in general, of ways to ensure a reliable model. We detail how choices of element size, type and material properties in FEA influence the results of simulations. We also present an empirical model for estimating heterogeneous material properties throughout an elephant femur (but of broad applicability to FEA). We then use an ex vivo experimental validation test of a cadaveric femur to check our FEA results and find that the heterogeneous model matches the experimental results extremely well, and far better than the homogeneous model. We emphasize how considering heterogeneous material properties in FEA may be critical, so this should become standard practice in comparative FEA studies along with convergence analyses, consideration of element size, type and experimental validation. These steps may be required to obtain accurate models and derive reliable conclusions from them.
引用
收藏
页码:351 / 361
页数:11
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