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A Research Method of Uncertain Propagation Problems Based on Maximum Entropy Principle

机译:基于最大熵原理的不确定传播问题的研究方法

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The problem of uncertainty propagation is widely found in practical engineering problems. Most of the existing research methods have problems in accuracy and efficiency in practical engineering problems. Thus, a new method to study the problem of uncertainty propagation is proposed. Firstly, an approximate numerical method combined with the Bootstrap method is used to calculate the statistical moments of each order of the response variable, and then the method based on the maximum entropy principle is used to solve the probability density function. In this paper, a numerical example and an example of the calculation of the probability density function of natural frequency of a barrel are given and compared with the Monte Carlo simulation method to show the advantages of this method in the problem of uncertainty propagation, and the effectiveness of this method is verified.
机译:不确定性传播的问题在实际的工程问题中被广泛发现。现有的大多数研究方法在实际工程问题中都存在准确性和效率方面的问题。因此,提出了一种研究不确定性传播问题的新方法。首先,采用近似数值方法结合Bootstrap方法来计算响应变量各阶的统计矩,然后采用基于最大熵原理的方法求解概率密度函数。本文给出了一个数值例子和一个计算桶固有频率概率密度函数的例子,并与蒙特卡罗模拟方法进行了比较,以证明该方法在不确定性传播问题上的优势,以及验证了该方法的有效性。

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