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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:在实际工程问题中广泛发现不确定性繁殖的问题。大多数现有的研究方法在实际工程问题中具有效率的准确性和效率。因此,提出了一种研究不确定性传播问题的新方法。首先,将与引导方法组合的近似数值方法用于计算响应变量的每个阶数的统计矩,然后使用基于最大熵原理的方法来解决概率密度函数。在本文中,给出了一个数值示例和计算桶的固有频率的概率密度函数的计算的示例,并与蒙特卡罗模拟方法进行比较,以显示该方法在不确定传播问题中的优点,以及验证了这种方法的有效性。

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