Predicting Structure Dynamic Acceleration Based on Measured Strain

  • Wang YuanshengEmail author
  • Lan Chunbo
  • Qin Weiyang
  • Yue ZhuFeng
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 75)


For complex structures, to understand its dynamical characteristics, it is desired that the dynamical responses under excitation, e.g. displacement or acceleration, could be measured directly. But at present, the measuring method for acceleration is still limited and constrained by many factors. Especially for complex structures, the direct measurement for acceleration is quite difficult. In contrast, strain measurement is relatively easy, since the strain sensor is simple and can be easily pasted on the surface of structure. Thus if the measured strain data can be used to predict the dynamical response of system, it will result in great benefit. In this paper, a method is proposed to predict the acceleration from the measured strain response, which needs only a few strain sensors. The validation experiments were carried out on a cantilever beam and a rectangle cylinder. The stochastic motion was chosen as the excitation source. The results prove that the presented method is effective and could reach a high precision.


Strain mode Displacement mode Prediction Stochastic excitation 



The support of National Natural Foundation of China (Grant No. 11672237) is gratefully acknowledged.


  1. 1.
    Li, C.J., Ulsoy, A.G.: High-precision measurement of tool-tip displacement using strain gauges in precision flexible line boring. Mech. Syst. Signal Process. 13(4), 531–546 (1999)CrossRefGoogle Scholar
  2. 2.
    Kang, L., Kim, D., Han, J.: Estimation of dynamic structural displacements using fiber Bragg grating strain sensors. J. Sound Vib. 305, 534–542 (2007)CrossRefGoogle Scholar
  3. 3.
    Rapp, S., Kang, L., Han, J., Mueller, U., Baier, H.: Displacement field estimation for a two-dimensional structure using fiber Bragg grating sensors. Smart Mater. Struct. 18, 025006 (2009)CrossRefGoogle Scholar
  4. 4.
    Kim, H., Kang, L., Han, J.: Shape estimation with distributed fiber Bragg grating sensors for rotating structures. Smart Mater. Struct. 20, 035011 (2011)CrossRefGoogle Scholar
  5. 5.
    Bang, H., Kim, H., Lee, K.: Measurement of strain and bending deflection of a wind turbine tower using arrayed FBG sensors. Int. J. Precis. Eng. Manuf. 13(12), 2121–2126 (2012)CrossRefGoogle Scholar
  6. 6.
    Glaser, R., Caccese, V., Shahinpoor, M.: Shape monitoring of a beam structure from measured strain or curvature. Exp. Mech. 52, 591–606 (2012)CrossRefGoogle Scholar
  7. 7.
    Wang, Z., Geng, D., Ren, W., Liu, H.: Strain modes based dynamic displacement estimation of beam structures with strain sensors. Smart Mater. Struct. 23, 125045 (2014)CrossRefGoogle Scholar
  8. 8.
    Iadicicco, A., Pietra, M.D., Gaudio, G., Campopiano, S.: Strain measurements of a multilayer panel via Fiber Bragg gratings as novel approach for deflection monitoring of tracking particle detectors. In: Proceedings of SPIE, 9506, Optical Sensors 95061L (2015)Google Scholar
  9. 9.
    Zhang, Q., Zhang, J., Duan, W., Wu, Z.: Deflection distribution estimation of tied-arch bridges using long-gauge strain measurements. Struct. Control Health Monit. 25(3), e2119 (2018)CrossRefGoogle Scholar
  10. 10.
    Hong, W., Qin, Z., Lv, K., Fang, K.: An indirect method for monitoring dynamic deflection of beam-like structures based on strain responses. Appl. Sci. 8(811), 1–16 (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Wang Yuansheng
    • 1
    Email author
  • Lan Chunbo
    • 1
  • Qin Weiyang
    • 1
  • Yue ZhuFeng
    • 1
  1. 1.School of Mechanics, Civil Engineering and ArchitectureNorthwestern Polytechnical UniversityXi’anChina

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