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An Assessment of the Applicability and Epistemic Uncertainties inherent to Different Classes of Friction Models for Modeling Bolted Interfaces

机译:评估不同类别摩擦模型固有的适用性和认识性的不确定性,用于建模螺栓接口

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Modeling the contact in bolted structures is a persisting challenge in the community. One of the greatest obstacles in developing predictive models is a lack of understanding of the relative epistemic uncertainties (model form errors) inherent to different choices of contact constitutive modeling approaches. The contact constitutive models affect the stiffness and hysteresis of the contact resulting in different frequency and damping properties. Multi-Objective Optimization (MOO) is applied to find solutions that minimize the deviation in both frequency and damping from experimentally measured properties. Then the concept of non-domination of design parameter sets is used from MOO approaches to develop a quantitative understanding of the epistemic uncertainties, i.e., the inexactness of each approach to represent experimentally measured properties. The current study investigates the uncertainty associated with conventionally popular simplified approaches such as the use of phenomenological models (e.g., Iwan or Bouc-Wen models) and constitutive models (e.g., Jenkins models) within a whole-jointed framework.
机译:建模螺栓结构中的接触是社区持续存在的挑战。开发预测模型中最伟大的障碍是缺乏对不同选择的相对认可的相对认可的不确定性(模型形式误差)的理解,该方法是联系本构建模方法的不同选择。接触本构体模型会影响触点的刚度和滞后,从而产生不同的频率和阻尼性能。应用多目标优化(MOO)来寻找最小化频率和阻尼从实验测量性质的偏差的解决方案。然后,设计参数集的非统治的概念来自MOO方法,以发展对认知不确定性的定量理解,即每个方法的不精确性来表示实验测量的性质。目前的研究调查了与以往常规地流行的简化方法相关的不确定性,例如在全面的框架内使用现象学模型(例如,iWAN或BOUC-WEN模型)和本构模型(例如,Jenkins Models)。

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