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首页> 外文期刊>International Journal of Distributed Sensor Networks >A novel semi-empirical supervised model of vortex-induced vertical force on a flat closed-box bridge deck
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A novel semi-empirical supervised model of vortex-induced vertical force on a flat closed-box bridge deck

机译:平板封闭箱桥面上涡流垂直力的新型半经验监督模型

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This study presents a novel single-degree-of-freedom model of vortex-induced vertical force, which is based on supervised learning. There are three steps in the process of modeling. First, a hypothesis function based on the Taylor expansion is applied to describe the complicated of vortex-induced vertical force. Second, this hypothesis function is optimized by spectrum and correlation analysis. The terms in this function are deleted when they meet one of the following cases: the frequency amplitudes are close to 0; the correlation coefficients with the vortex-induced vertical force are less than 0.3; the correlation coefficients with other low-order terms are more than 0.8. Third, the validity and reliability of the optimized function are verified by comparative and residual analysis. The process of optimization makes the proposed model simple and well describes the main characteristics of vortex-induced vertical forces. Moreover, the maximum displacement is accurately predicted according to the proposed model. Simulation results show that the proposed model has a high coefficient of determination (R ~(2)) compared with Scanlan’s and Zhu’s models, which means that the proposed model is more suitable to describe vortex-induced vertical forces.
机译:这项研究提出了一种新的基于自由学习的涡激垂直力的单自由度模型。建模过程分为三个步骤。首先,基于泰勒展开的假设函数被用来描述涡旋引起的垂直力的复杂性。其次,通过频谱和相关分析来优化该假设函数。当满足下列情况之一时,将删除此功能中的术语:频率幅度接近0;与涡流垂直力的相关系数小于0.3。与其他低阶项的相关系数大于0.8。第三,通过比较和残差分析验证了优化函数的有效性和可靠性。优化过程使所提出的模型变得简单,并很好地描述了涡旋引起的垂直力的主要特征。此外,根据提出的模型可以准确预测最大位移。仿真结果表明,与Scanlan模型和Zhu模型相比,该模型具有较高的确定系数( R〜(2)),这意味着该模型更适合描述涡流引起的垂直力。

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