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

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Iranian Journal of Science and Technology, Transactions of Civil Engineering Aims and scope Submit manuscript

Abstract

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.

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References

  • Ajorloo Y, Ghaffarzadeh H (2017) Identification of structural dynamic parameters using block pulse functions and recursive least-squares algorithm. Iran J Sci Technol Trans Civ Eng 41(2):149–158

    Article  Google Scholar 

  • Angelkirk A, Mateisen W (1957) Damage detection and localization using natural frequency changes. In: Proceedings of conference on identification in engineering systems, pp 102–109

  • Brincker R, Ventura C (2015) Introduction to operational modal analysis. Wiley, Oxford

    Book  MATH  Google Scholar 

  • Chery B, Brudy S (1959) Detection of structural failure on fixed platforms by measurement of dynamic response. J Petrol 29(03):305–310

    Google Scholar 

  • Domaneschi M, Pina M, Martinelli L (2013) Vibration based damage localization using MEMS on a suspension bridge model. Smart Struct Syst 12(6):679–694

    Article  Google Scholar 

  • Ewins D (2000) Modal testing: theory, practice, and application. Research Studies Press, Michigan

    Google Scholar 

  • Ferdoush S, Li X (2014) Wireless sensor network system design using raspberry pi and arduino for environmental monitoring applications. Procedia Comput Sci 34:103–110

    Article  Google Scholar 

  • Fu Z-F, He J (2001) Modal analysis. Publisher - Butterworth-Heinemann, Butterworth-Heinemann, Oxford. ISBN 9780080511788

    Google Scholar 

  • Galdino E, Cury A (2016) Development of low-cost wireless accelerometer for structural dynamic monitoring. In: Proceedings of the XXXVII Iberian Latin-American congress on computational methods in engineering, Brasília, DF, Brazil, November 6–9, 2016

  • Hanison SR, Vanderplaats GN (1965) Approximation method for configuration optimization of trusses. AIAA J 28(1):161–168

    Article  Google Scholar 

  • Harris FJ (1978) On the use of windows for harmonic analysis with the discrete fourier transform. In: Proceedings of the IEEE, vol 66

  • Jeong T, Kim T, Hyung P, Hong D, Ho D (2011) Hybrid acceleration-impedance sensor nodes on Imote2-platform for damage monitoring in steel girder connections. Smart Struct Syst 7(5):393–416

    Article  Google Scholar 

  • Nihtianov A, Luque R (2013) Smart sensors and MEMS, 1st edn. Publishing by Woodhead, Derbyshire

    Google Scholar 

  • Norton HN (1989) Handbook of transducers. Prentice Hall PTR, Prentice Hall, Upper Saddle River. ISBN 0-13-382599-X

    Google Scholar 

  • Pandey S, Haider M, Uddin N (2016) Design and implementation of a low-cost wireless platform for remote bridge health monitoring. Int J Emerg Technol Adv Eng 6(6):57–62

    Google Scholar 

  • Rahami H, Ghodrati G, Amini Tehrani A, Akhavat M (2018) Structural health monitoring for multi-story shear frames based on signal processing approach. Iran J Sci Technol Trans Civ Eng. https://doi.org/10.1007/s40996-018-0096-1

    Google Scholar 

  • Roitman N, Viero PF, Magluta C, Batista RC, Rosa LFL (1992) Identification of offshore platform structural damage using modal analysis techniques. Mech Syst Signal Process 6(3):287–295

    Article  Google Scholar 

  • Saboonchi H, Ozevin D, Kabir M (2016) Acoustic emission and strain. Sens Actuators A Phys 247:566–578

    Article  Google Scholar 

  • Sergey YY, Gomes MTSR (2003), Smart sensors and MEMS. by NATO Advanced Study Institute on Smart Sensors and MEMS

  • Shabbir F, Omenzetter P (2008) Forced vibration testing of a thirteen-store concrete building. In: NZSEE conference, Wellington, New Zealand, April

  • Sindhu SA, Nirrmala CA (2015) Structural health monitoring using wireless sensor network. Int J Emerg Technol Comput Sci Electron 13(4):319–322

    Google Scholar 

  • Takewaki I, Nakamura M, Yoshitomi S (2012) System identification for structural health monitoring. WIT Press, Ashurst, Southampton

    Google Scholar 

  • Vetterli M, Kovaevi J, Goyal VK (2014) Foundations of signal processing. Published by Cambridge University, Cambridge

    Book  Google Scholar 

  • Walter PL (2006) The history of the accelerometer 1920’s–1996. Prologue and Epilogue, New York

    Google Scholar 

  • Wang Y, Chi Z (2016) System of wireless temperature and humidity monitoring based on arduino unio platform. In: 2016 Sixth international conference on communication and control (IMCCC), Harbin, China, July

  • Wullff G, Vanorden RC (1979) Evaluation of earthquake stability of lower Springs Dam California—U.S.A. In: Proceedings of the 13th international congress on large dam, New Delhi, India, October

  • Yu Y, Ou J, Li H (2010) Design, calibration and application of wireless sensors for structural global and local monitoring of civil infrastructures. Smart Struct Syst 6(5):641–659

    Article  Google Scholar 

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Acknowledgement

Hossein Rahami would like to acknowledge the financial support of University of Tehran for this research under Grant Number 27938/01/18.

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Authors and Affiliations

  1. Department of Civil Engineering, Arak Branch, Islamic Azad University, Arāk, Iran

    Behrouz Babakhani

  2. School of Engineering Science, College of Engineering, University of Tehran, Tehran, Iran

    Hossein Rahami

  3. Department of Civil Engineering, K. N. Toosi, University of Technology, Tehran, Iran

    Reza Karami Mohammadi

Authors
  1. Behrouz Babakhani
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  2. Hossein Rahami
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  3. Reza Karami Mohammadi
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Corresponding author

Correspondence to Hossein Rahami.

Appendix

Appendix

The code is written to connect the MPU6050 accelerometer module to the Arduino controlling board in the Arduino software.

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Babakhani, B., Rahami, H. & Karami Mohammadi, R. Determining Structural Resonance Frequency via Low-Cost Micro-Electromechanical Systems. Iran J Sci Technol Trans Civ Eng 43 (Suppl 1), 583–590 (2019). https://doi.org/10.1007/s40996-018-0188-y

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  • DOI: https://doi.org/10.1007/s40996-018-0188-y

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