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A method for assessing the fit of a constitutive material model to experimental stress-strain data

机译:一种评估本构模型对实验应力-应变数据的拟合度的方法

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Higher-order polynomial functions can be used as a constitutive model to represent the mechanical behaviour of biological materials. The goal of this study was to present a method for assessing the fit of a given constitutive three-dimensional material model. Goodness of fit was assessed using multiple parameters including the root mean square error and Hotelling's T~2-test. Specifically, a polynomial model was used to characterise the stress-strain data, varying the number of model terms used (45 combinations of between 3 and 11 terms) and the manner of optimisation used to establish model coefficients (i.e. determining coefficients either by parameterisation of all data simultaneously or averaging coefficients obtained by parameterising individual data trials). This framework for model fitting helps to ensure that a given constitutive formulation provides the best characterisation of biological material mechanics.
机译:高阶多项式函数可以用作表示生物材料力学行为的本构模型。这项研究的目的是提出一种评估给定的本构三维材料模型的拟合度的方法。使用多个参数(包括均方根误差和Hotelling的T〜2检验)评估拟合优度。具体来说,使用多项式模型来表征应力-应变数据,改变所使用的模型项的数量(3和11个项之间的45种组合)以及用于建立模型系数的优化方式(即通过参数化确定系数)所有数据同时或通过参数化单个数据试验获得的平均系数)。该模型拟合框架有助于确保给定的本构公式提供生物材料力学的最佳表征。

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