Determining Structural Resonance Frequency via Low-Cost Micro-Electromechanical Systems

One of the most important tasks in dynamic experimentation and empirical modal analysis is the study of structural responses to a variety of excitations. Generally, such responses can be received from different point parts of a structure. Frequency and time domain analyses utilize these responses to provide information on dynamic features of a structure such as resonance frequency, modal shape, and modal damping. In recent years, there has been widespread progress in the production of micro-electromechanical sensors, and cell phones and other gadgets have utilized this technology. In the following paper, the MPU 6050 module is introduced. Then, the process of implementation and coding of this module is described. Finally, to evaluate the data collecting quality of this module, the results of the experimental models are compared with the finite element results, and the conclusion is made.

[1]  Gholamreza Ghodrati Amiri,et al.  Structural Health Monitoring for Multi-story Shear Frames Based on Signal Processing Approach , 2018 .

[2]  Patrick L. Walter The history of the accelerometer : 1920s-1996-prologue and epilogue, 2006 , 2007 .

[3]  Izuru Takewaki,et al.  System identification of super high‐rise buildings using limited vibration data during the 2011 Tohoku (Japan) earthquake , 2012 .

[4]  Carlos E. Ventura,et al.  Introduction to Operational Modal Analysis: Brincker/Introduction to Operational Modal Analysis , 2015 .

[5]  Jeong-Tae Kim,et al.  Hybrid acceleration-impedance sensor nodes on Imote2-platform for damage monitoring in steel girder connections , 2011 .

[6]  H. Ghaffarzadeh,et al.  Identification of Structural Dynamic Parameters Using Block Pulse Functions and Recursive Least-Squares Algorithm , 2017 .

[7]  F. Harris On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.

[8]  Carlos E. Ventura,et al.  Introduction to Operational Modal Analysis , 2015 .

[9]  Carlos Magluta,et al.  Identification of offshore platform structural damage using modal analysis techniques , 1992 .

[10]  Yanping Wang,et al.  System of Wireless Temperature and Humidity Monitoring Based on Arduino Uno Platform , 2016, 2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC).

[11]  R. E. Hill,et al.  The Perseverance Ultramafic Complex, Western Australia: The Product of a Komatiite Lava River , 1988 .

[12]  Jiannong Cao,et al.  Structural Health Monitoring Using Wireless Sensor Networks , 2012 .

[13]  Hossain Saboonchi,et al.  MEMS sensor fusion: Acoustic emission and strain , 2016 .

[14]  Yan Yu,et al.  Design, calibration and application of wireless sensors for structural global and local monitoring of civil infrastructures , 2010 .

[15]  Sergey Y. Yurish,et al.  Smart sensors and MEMS , 2004 .

[16]  Xinrong Li,et al.  Wireless Sensor Network System Design Using Raspberry Pi and Arduino for Environmental Monitoring Applications , 2014, FNC/MobiSPC.

[17]  David J. Ewins,et al.  Modal Testing: Theory, Practice, And Application , 2000 .

[18]  J. Kim Vandiver,et al.  Detection of Structural Failure on Fixed Platforms By Measurement of Dynamic Response , 1975 .

[19]  Harry N. Norton,et al.  Handbook of transducers , 1969 .

[20]  Emerson . Galdino,et al.  DEVELOPMENT OF LOW-COST WIRELESS ACCELEROMETER FOR STRUCTURAL DYNAMIC MONITORING , 2017 .

[21]  G. Vanderplaats,et al.  Approximation method for configuration optimization of trusses , 1990 .

[22]  Vivek K Goyal,et al.  Foundations of Signal Processing , 2014 .

[23]  Marco Domaneschi,et al.  Vibration based damage localization using MEMS on a suspension bridge model , 2013 .