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Application of sensitivity analysis and uncertainty quantification methods on the dynamic response of general nonlocal beams

机译:灵敏度分析和不确定量化方法在通用非识别梁动态响应中的应用

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摘要

There is a gap to be filled in the literature regarding uncertainties that may exist in nanobeams' material and geometric properties, such as the nonlocal parameters, Young's modulus, Poisson ratio, density, and beam's length, width, and height. Considering the fact there are so many input parameters that can affect the response of the system, parametric studies that only focus on single parameters may limit the usefulness of the obtained output. Thus, in this effort, local and global sensitivity analysis and uncertainty quantification techniques are applied to determine the most influential parameters on the acoustic dispersion curves and the linear response of nanobeams which are modeled utilizing Euler-Bernoulli beam theory and the general nonlocal theory. The sensitivity analysis and uncertainty quantification methods include expanded parametric studies around an ideal or baseline system configuration, the Morris method elementary effects, Sobol' sensitivity indices, Pearson correlation coefficients, and output distribution curves. Various input probability distributions are used for the input parameters uncertainties and the effects of all parameters on the ideal configurations are investigated for both acoustic dispersions and first natural frequency. For this study, there is great agreement in input parameter ranking between the methods. The introduced methodologies can be used for many other complex dynamical systems to show the limits of applicability of each method and determine the most influential input parameters and dominant output configurations.
机译:关于在纳米芯片材料和几何特性中可能存在的不确定性的文献中存在差距,例如非识别数参数,杨氏模量,泊松比,密度和梁的长度,宽度和高度。考虑到这一事实有很多输入参数,可以影响系统的响应,只关注单个参数的参数研究可能会限制所获得的输出的有用性。因此,在这种努力中,应用局部和全局敏感性分析和不确定量化技术来确定声色散曲线上最有影响力的参数和利用Euler-Bernoulli光束理论和一般非局部理论建模的纳米辐射的线性响应。敏感性分析和不确定量化方法包括围绕理想或基线系统配置的扩展参数研究,Morris方法基本效果,索尔索敏感指数,Pearson相关系数和输出分布曲线。各种输入概率分布用于输入参数的不确定性,对声学分散体和第一自然频率进行理想配置上的所有参数的效果。对于这项研究,在方法之间输入参数排名有很大的一致性。介绍的方法可用于许多其他复杂的动态系统,以显示每个方法的适用性并确定最有影响力的输入参数和主导输出配置。

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