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Global Sensitivity Analysis of Fractional-Order Viscoelasticity Models

机译:分数阶粘弹性模型的整体灵敏度分析

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In this paper, we investigate hyperelastic and viscoelastic model parameters using Global Sensitivity Analysis(GSA). These models are used to characterize the physical response of many soft-elastomers, which are used ina wide variety of smart material applications. Recent research has shown the effectiveness of using fractional-order calculus operators in modeling the viscoelastic response. The GSA is performed using parameter subsetselection (PSS), which quantifies the relative parameter contributions to the linear and nonlinear, fractional-order viscoelastic models. Calibration has been performed to quantify the model parameter uncertainty; however,this analysis has led to questions regarding parameter sensitivity and whether or not the parameters can beuniquely identified given the available data. By performing GSA we can determine which parameters are mostinfluential in the model, and fix non-influential parameters at a nominal value. The model calibration can thenbe performed to quantify the uncertainty of the influential parameters.
机译:在本文中,我们使用全局灵敏度分析\ r \ n(GSA)研究超弹性和粘弹性模型参数。这些模型用于表征许多软弹性体的物理响应,这些弹性体被用于各种智能材料应用中。最近的研究表明,使用分数阶\ r \ n阶微积分算子对粘弹性响应进行建模是有效的。使用参数子集\ r \ n选择(PSS)执行GSA,该子集量化了对线性和非线性分数阶\ n粘弹性模型的相对参数贡献。已执行校准以量化模型参数的不确定性;但是,\ r \ n这种分析导致了有关参数敏感性以及是否在给定可用数据的情况下是否可以唯一标识参数的问题。通过执行GSA,我们可以确定模型中最有影响力的参数,并将无影响力的参数固定为标称值。然后可以执行模型校准以量化影响参数的不确定性。

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  • 会议地点 0277-786X;1996-756X
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    Department of MathematicsNorth Carolina State UniversityRaleigh, NC 27695 prmiles@ncsu.edu, Telephone: 1-919-515-0682;

    Department of MathematicsNorth Carolina State UniversityRaleigh, NC 27695,Department of Mechanical EngineeringNorth Carolina State UniversityRaleigh, NC 27695;

    Department of MathematicsNorth Carolina State UniversityRaleigh, NC 27695;

    Florida Center for Advanced Aero PropulsionDepartment of Mechanical EngineeringFlorida AM University and Florida State UniversityTallahassee, FL 32311;

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