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Structural response reconstruction based on empirical mode decomposition in time domain

机译：基于时域经验模式分解的结构响应重构

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摘要

In this paper, a new method for structural response reconstruction of critical locations using measurements from remote sensors is developed. The method is based on the empirical mode decomposition with intermittency criteria and transformation equations derived from finite element modeling. Dynamic responses measured from usage monitoring system or sensors at available locations are decomposed into modal responses directly in time domain. Transformation equations based on finite element modeling are used to extrapolate the modal responses from the measured locations to critical locations where direct sensor measurements are not available. The modal superposition method is employed to obtain dynamic responses at critical locations. A numerical beam example is used to demonstrate the overall reconstruction procedure. Following this, a practical structure scale problem is used to validate the effectiveness and accuracy of the proposed method. Effects of sensor locations, the number of sensors, high damping ration, closely space modes and the noise level in measurement are studied in detail.
机译：在本文中，开发了一种使用远程传感器的测量结果来重建关键位置的结构响应的新方法。该方法基于经验模式分解，具有间歇性标准和从有限元建模中得出的变换方程。从使用情况监视系统或可用位置的传感器测得的动态响应直接在时域中分解为模式响应。基于有限元建模的转换方程用于将模态响应从测量位置推算到无法直接进行传感器测量的关键位置。模态叠加方法用于获得关键位置的动态响应。数值束示例用于说明整个重建过程。在此之后，一个实际的结构规模问题被用来验证所提出方法的有效性和准确性。详细研究了传感器位置，传感器数量，高阻尼比，紧密空间模式和测量中的噪声水平的影响。

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