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不确定性结构的非高斯模态参数模拟方法
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作者 平梦浩 张文华 唐亮 《华南理工大学学报(自然科学版)》 EI CAS 2024年第9期81-92,共12页
结构不确定性广泛存在于实际工程问题中,考虑不确定因素对模态参数的影响对提升结构动力学分析的鲁棒性具有重要意义。在涉及不确定性线性结构随机模态参数求解或估计的方法中,模态参数通常被视为服从高斯分布,它们之间的相关性也通常... 结构不确定性广泛存在于实际工程问题中,考虑不确定因素对模态参数的影响对提升结构动力学分析的鲁棒性具有重要意义。在涉及不确定性线性结构随机模态参数求解或估计的方法中,模态参数通常被视为服从高斯分布,它们之间的相关性也通常被忽略。然而,随机模态参数的高斯和独立性假设会造成模拟误差,影响结构动力学响应预测的鲁棒性。针对这一问题,分别针对离散结构和连续结构提出了两种随机模态参数模拟方法。对于离散结构,由于振型是离散的,随机模态参数被视为相关随机变量,根据它们的统计特征,采用相关多项式混沌展开方法(c-PCE),将其表示为独立标准高斯变量的函数,可以实现非高斯性和相关性的模拟;对于连续结构,随机振型被视为相关随机场,利用改进的正交级数展开法可以将其表示为离散随机振型的函数,将它们与随机固有频率相结合,构造一组新的相关随机变量,采用c-PCE,可以实现利用标准高斯变量模拟振型随机场和随机频率。最后,分别以桁架结构和平板结构为例,考虑由材料参数波动引起的模态参数的非高斯性,利用提出的随机模态参数模拟方法,可以准确模拟模态参数的统计特征,进一步还能够预测结构的随机响应。证明了提出的方法对随机模态参数的模拟精度,以及考虑参数相关性的必要性。 展开更多
关键词 随机模态参数 相关变量 随机场 多项式混沌展开 正交级数展开
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A frequency domain reliability analysis method for electromagnetic problems based on univariate dimension reduction method 被引量:1
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作者 ping menghao HAN Xu +4 位作者 JIANG Chao ZHONG JianFeng XIAO XiaoYa HUANG ZhiLiang WANG ZhongHua 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2019年第5期787-798,共12页
In this paper, a class of electromagnetic field frequency domain reliability problem is first defined. The frequency domain reliability refers to the probability that an electromagnetic performance indicator can meet ... In this paper, a class of electromagnetic field frequency domain reliability problem is first defined. The frequency domain reliability refers to the probability that an electromagnetic performance indicator can meet the intended requirements within a specific frequency band, considering the uncertainty of structural parameters and frequency-variant electromagnetic parameters.And then a frequency domain reliability analysis method based on univariate dimension reduction method is proposed, which provides an effective calculation tool for electromagnetic frequency domain reliability. In electromagnetic problems, performance indicators usually vary with frequency. The method firstly discretizes the frequency-variant performance indicator function into a series of frequency points' functions, and then transforms the frequency domain reliability problem into a series system reliability problem of discrete frequency points' functions. Secondly, the univariate dimension reduction method is introduced to solve the probability distribution functions and correlation coefficients of discrete frequency points' functions in the system. Finally, according to the above calculation results, the series system reliability can be solved to obtain the frequency domain reliability, and the cumulative distribution function of the performance indicator can also be obtained. In this study,Monte Carlo simulation is adopted to demonstrate the validity of the frequency domain reliability analysis method. Three examples are investigated to demonstrate the accuracy and efficiency of the proposed method. 展开更多
关键词 ELECTROMAGNETIC field frequency domain RELIABILITY system RELIABILITY RANDOM process DISCRETIZATION univariate DIMENSION reduction METHOD
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