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首页> 外文期刊>Journal of Sound and Vibration >Handling uncertainties in mixed numerical-experimental techniques for vibration based material identification
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Handling uncertainties in mixed numerical-experimental techniques for vibration based material identification

机译:基于振动的材料识别的混合数值实验技术中的不确定性处理

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摘要

Mixed numerical-experimental techniques (MNETs) combine experimental test results and numerical modelling techniques with the goal of identifying physical properties. Experimental results always come with a level of uncertainty. This input uncertainty will migrate through the MNET routine, and will result in an uncertainty on the identified parameters. Therefore, MNET procedures should not only provide an estimated value for the physical properties, they should also provide additional information about the reliability of the results obtained. This paper presents a routine that is able to transform the uncertainty on the input parameters of a MNET into the uncertainty on the output parameters. The approach does not require any change of the initial MNET routine, it is just an additional computational step that has to be performed after the MNET has identified the deterministic values of the unknown physical properties. The routine is demonstrated on a vibration based MNET used to identify elastic material properties. (c) 2005 Elsevier Ltd. All rights reserved.
机译:混合数值实验技术(MNET)结合了实验测试结果和数值建模技术,旨在识别物理性质。实验结果总是带有一定程度的不确定性。这种输入不确定性将通过MNET例程进行迁移,并将导致所标识参数的不确定性。因此,MNET过程不仅应提供物理特性的估计值,而且还应提供有关所获得结果的可靠性的其他信息。本文提出了一种例程,该例程能够将MNET输入参数的不确定性转换为输出参数的不确定性。该方法不需要更改初始MNET例程,这只是在MNET确定了未知物理属性的确定性值之后必须执行的附加计算步骤。该例程在用于识别弹性材料属性的基于振动的MNET上进行了演示。 (c)2005 Elsevier Ltd.保留所有权利。

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