首页> 外文会议>ASME international mechanical engineering congress and exposition;IMECE2011 >DEMONSTRATION OF A MODELING ERROR EXTRAPOLATION METHOD IN VERIFICATION, VALIDATION AND UNCERTAINTY QUANTIFICATION OF A STRESS CONCENTRATION IN A CANTILEVER BEAM
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DEMONSTRATION OF A MODELING ERROR EXTRAPOLATION METHOD IN VERIFICATION, VALIDATION AND UNCERTAINTY QUANTIFICATION OF A STRESS CONCENTRATION IN A CANTILEVER BEAM

机译:悬臂梁应力集中的验证,验证和不确定性量化中的模型误差外推方法论证

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In order to assert that a complex simulation is an adequate representation of the real world the computational model must be validated against experimental results. Typically this validation is conducted at a small number of specified conditions, and set points. The simulation will differ from the experimental result due to experimental, numerical and simulation input uncertainties as well as un-modeled physics. The latter contributor is the modeling error. At these validation set points the modeling error can be estimated to fall within an interval. This range is the simulation minus experiment, plus/minus the combined experimental, numerical and simulation input uncertainties [1]. However, the purpose of creating a simulation is to predict results at set points where experimental results are unavailable. The uncertainty in this prediction is a combination of numerical and simulation input uncertainties along with the modeling error. In order to specify a prediction uncertainty it is necessary to extrapolate the modeling error interval to these prediction set points.
机译:为了断言复杂的模拟可以充分反映现实世界,必须根据实验结果对计算模型进行验证。通常,此验证是在少数指定条件和设定点下进行的。由于实验,数值和模拟输入的不确定性以及未建模的物理原理,模拟结果将与实验结果有所不同。后者是建模误差。在这些验证设置点,可以估计建模误差在一个间隔内。该范围是模拟减去实验,再加上/减去组合的实验,数值和模拟输入不确定性[1]。但是,创建模拟的目的是在无法获得实验结果的设定点上预测结果。此预测中的不确定性是数值和模拟输入不确定性以及建模误差的组合。为了指定预测不确定性,有必要将建模误差间隔外推到这些预测设置点。

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