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通过拉伸强度和几何特性对骨板进行报废预测,以进行监管机械测试。

Bone Plates Runout Prediction Through Tensile Strength and Geometric Properties for Regulatory Mechanical Testing.

机构信息

Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129, Turin, Italy.

PolitoBIOMed Lab, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129, Turin, Italy.

出版信息

Ann Biomed Eng. 2024 Feb;52(2):239-249. doi: 10.1007/s10439-023-03363-2. Epub 2023 Sep 19.

Abstract

Mechanical tests on bone plates are mandatory for regulatory purposes and, typically, the ASTM F382 standard is used, which involves a four-point bending test setup to evaluate the cyclic bending fatigue performance of the bone plate. These test campaigns require a considerable financial outlay and long execution times; therefore, an accurate prediction of experimental outcomes can reduce test runtime with beneficial cost cuts for manufacturers. Hence, an analytical framework is here proposed for the direct estimation of the maximum bending moment of a bone plate under fatigue loading, to guide the identification of the runout load for regulatory testing. Eleven bone plates awaiting certification were subjected to a comprehensive testing campaign following ASTM F382 protocols to evaluate their static and fatigue bending properties. An analytical prediction of the maximum bending moment was subsequently implemented based on ultimate strength and plate geometry. The experimental loads obtained from fatigue testing were then used to verify the prediction accuracy of the analytical approach. Results showed promising predictive ability, with R coefficients above 0.95 in the runout condition, with potential impact in reducing the experimental tests needed for the CE marking of bone plates.

摘要

出于监管目的,对骨板进行机械测试是强制性的,通常使用 ASTM F382 标准,该标准涉及四点弯曲测试设置,以评估骨板的循环弯曲疲劳性能。这些测试活动需要相当大的财务支出和较长的执行时间;因此,准确预测实验结果可以减少测试运行时间,并为制造商带来有益的成本节约。因此,本文提出了一种分析框架,用于直接估计疲劳载荷下骨板的最大弯曲力矩,以指导确定监管测试的失效载荷。11 块等待认证的骨板按照 ASTM F382 协议进行了全面测试,以评估其静态和疲劳弯曲性能。随后基于极限强度和板几何形状对最大弯曲力矩进行了分析预测。然后使用疲劳测试获得的实验载荷来验证分析方法的预测精度。结果表明,在失效条件下,预测结果具有很高的准确性,R 系数超过 0.95,这可能会减少骨板 CE 标记所需的实验测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22bc/10810033/3446de08b175/10439_2023_3363_Fig1_HTML.jpg

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