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On uncertain parameter identification from experimental data in structural dynamics and vibroacoustics

机译:基于结构动力学和振动声学实验数据的不确定参数识别

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Modeling of engineering problems in structural dynamics and vibroacoustics involves knowledge of uncertainty related with parameters, e.g. elastic and damping properties. The theoretical and numerical aspects of uncertainty quantification (UQ) in such parameters have been well developed over the past decades. The validation of results, however, remains as challenging issue due to the lack of coherent and consistent experimental data upon desired performance. This is particularly important when dealing with numerical FEM models with uncertain inputs. In this paper, the fundamental concept of experimentally UQ in structural dynamics and vibroacoustics will be discussed. The prompt will be on introducing a general framework by which UQ is performed using limited data available. Once the experimentally identified inputs are known, statistical properties of uncertain structural responses are updated using numerical FEM model.
机译:结构动力学和振动声学中的工程问题建模涉及与参数相关的不确定性知识,例如弹性和阻尼特性。在过去的几十年中,此类参数中的不确定性量化(UQ)的理论和数值方面已经得到了很好的发展。然而,由于缺乏所需性能的连贯一致的实验数据,结果的验证仍然是具有挑战性的问题。在处理具有不确定输入的数值有限元模型时,这一点尤其重要。在本文中,将讨论在结构动力学和振动声学方面实验性UQ的基本概念。提示将是介绍一个通用框架,通过该框架使用有限的可用数据执行UQ。一旦知道了实验确定的输入,就可以使用数值有限元模型更新不确定结构响应的统计属性。

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