Abstract

Mobile phones can be used as potential useful tool in structural modal identification. Using the acceleration data collected by mobile phone sensors under ambient excitation, a method for structural modal identification based on variational mode decomposition (VMD) is proposed. Firstly, the feasibility and applicability of mobile phone sensors for vibration data measuring is verified by a shaking table test of a steel frame structure. Then, the mobile phone is used as an accelerometer to record the vibration acceleration of a pedestrian overpass under ambient excitation. In this test, vibration acceleration is effectively decomposed by VMD, and the major components of the vibration signal is obtained through the division and screening of frequency domain. Finally, the modal parameters of the pedestrian overpass are identified, and the results show the identification method based on VMD is effective and feasible.

Highlights

  • Structural dynamic identification is an important means of damage detection and health monitoring, and it has application prospect in automatic modal parameter extraction techniques [1]

  • The identification results are compared with the theoretical results, to verify the effectiveness of the data processing method based on variational mode decomposition (VMD) and the applicability of structural modal identification based on mobile phone sensor

  • By picking the frequency corresponding to the peak point of the power spectrum, the natural frequency is identified from Fig. 13, which is about 5.22 Hz

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Summary

Introduction

Structural dynamic identification is an important means of damage detection and health monitoring, and it has application prospect in automatic modal parameter extraction techniques [1]. The feasibility and applicability of structural dynamic identification based on mobile phone sensors are studied. The pedestrian overpass was tested based on the mobile phone sensor under ambient excitation, and the modal parameters are identified. During this process, the acceleration data was interpolated [5,6,7], and the data was processed based on VMD to improve the accuracy of identification [8]. The identification results are compared with the theoretical results, to verify the effectiveness of the data processing method based on VMD and the applicability of structural modal identification based on mobile phone sensor

Verification of accuracy and reliability of mobile phone sensor data
Test plan
Interpolation of vibration data
Dynamic characteristic identification
Results and discussion
Conclusions
Full Text
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