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Evidence-theory-based analysis for the prediction of exterior acoustic field with epistemic uncertainties

机译:基于证据理论的具有不确定性的外部声场预测

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摘要

Evidence theory has a strong ability to handle the epistemic uncertainty, based on which the uncertain parameters with limited information can be conveniently treated. In this paper, a numerical method is developed to predict the exterior acoustic field with epistemic uncertainties based on evidence theory. In order to alleviate the computational cost, the interval analysis technique is adopted to acquire the approximate frequency response amplitude bounds for each focal element, and the corresponding formulations of interval perturbation analysis for exterior acoustic field prediction are deduced. Inspired by the probability theory, the mean value, standard deviation and cumulative distribution are used to describe the distribution characteristics of evidence variables. Two numerical examples are given to illustrate the feasibility and effectiveness of the present method.
机译:证据理论具有处理认知不确定性的强大能力,在此基础上可以方便地处理信息量有限的不确定性参数。本文提出了一种基于证据理论的具有认知不确定性的外部声场预测方法。为了减轻计算量,采用区间分析技术获取每个焦点单元的近似频率响应幅度范围,并推导了用于外部声场预测的区间扰动分析的相应公式。受概率论启发,均值,标准差和累积分布用于描述证据变量的分布特征。给出了两个数值例子,说明了该方法的可行性和有效性。

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