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Fatigue Reliability Analysis Framework for Medical Devices Based on a Probabilistic Finite Element Approach

机译:基于概率有限元方法的医疗器械疲劳可靠性分析框架

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A probabilistic finite element approach to life analysis can be used to assess the structural reliability of a multitude of engineering structures, including medical devices. The framework to this approach, as outlined in this paper, may be useful in cases where quantification of the probability of fracture is of interest. In fatigue life prediction, structural reliability is assessed by combining the stresses developed in a device during component manufacturing with those experienced in the functional or in vivo environment and comparing that total fatigue stress with the fatigue strength of the material as processed in manufacturing the device. Probabilistic finite element analysis for fatigue life prediction is an extension of the deterministic finite element approach, whereby the input control variables are represented with specified probability distributions rather than single values. The input control variables represented by uncertainties require many finite element simulations, which can be created using a design-of- experiments approach. With the probabilistic finite element analysis approach, the probability of fracture is specifically bounded by the statistical distribution of the input control variables. In the present study, a framework is presented for the fatigue reliability analysis of medical devices using the probabilistic finite element approach. This framework is illustrated by a generic design example that includes a response surface model developed to capture fatigue stress distributions in the device with respect to input control variables. Monte Carlo simulations are used to generate the fatigue stress distribution in the device. The resultant fatigue stress distribution is compared with the material's fatigue strength distribution to estimate the structural reliability against fatigue.
机译:概率分析的概率有限元方法可用于评估多种工程结构的结构可靠性,包括医疗设备。如本文所述的这种方法的框架在裂缝概率是感兴趣的情况下可能是有用的。在疲劳寿命预测中,通过在组装制造期间与功能性或体内环境中经历的那些组合在组件制造期间,并将总疲劳应力与制造装置中的材料的疲劳强度进行比较来评估结构可靠性。疲劳寿命预测的概率有限元分析是确定性有限元方法的延伸,由此输入控制变量用指定的概率分布而不是单个值表示。由不确定性表示的输入控制变量需要许多有限元模拟,可以使用实验设计方法来创建。利用概率有限元分析方法,裂缝的概率由输入控制变量的统计分布具体界定。在本研究中,介绍了使用概率有限元方法的医疗设备的疲劳可靠性分析的框架。该框架由通用设计示例示出,该概述示例包括开发的响应表面模型,以捕获用于输入控制变量的设备中的疲劳应力分布。 Monte Carlo模拟用于在装置中产生疲劳应力分布。将所得疲劳应力分布与材料的疲劳强度分布进行比较,以估算疲劳的结构可靠性。

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