Detection of Sources of Nonlinearity in Multiple Bolted Joints by Use of Laser Vibrometer

  • Arnaldo delli Carri
  • Sante Campanelli
  • Dario Di MaioEmail author
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)


The use of non-contact measurement methods for detecting and locating sources of nonlinearities can be potentially a break-through in the nowadays experimental modal analysis. The primary goal is to define more effective test strategies, whereby contact sensors will measure the nonlinear vibration responses at the best location possible. Jointed structures are a typical example where a large number of the joint can pose the question of where what and how to measure the nonlinear response. Upon the identification of one, or more, nonlinear response mode the objective is to determine where is the source of such nonlinear vibration. Nonlinearity can be characterised when its source is well defined and can be adequately tested. This paper will attempt to detect and locate the source of nonlinearity from a multi-beam jointed assembly. The approach will be carried out by using both contact and non-contact measurement methods, the results of which will be compared and evaluated. The operator to detect the source of nonlinearity will be the coherence function applied to random response data.


SLDV Bolted joints Nonlinear vibration testing 


  1. 1.
    delli Carri, A., Weekes, B., Di Maio, D., Ewins, D.J.: Extending modal testing technology for model validation of engineering structures with sparse nonlinearities: a first case study. Mech. Syst. Signal Process. 84, 97–115 (2017)CrossRefGoogle Scholar
  2. 2.
    Di Maio, D., Bozzo, A., Peyret, N.: Response phase mapping of nonlinear joint dynamics using continuous scanning LDV measurement method. In: AIP Conference Proceedings, vol. 1740, (2016)Google Scholar
  3. 3.
    Di Maio, D., Bennett, P., Schwingshackl, C., Ewins, D.: Experimental non-linear modal testing of an aircraft engine casing assembly. In: Kerschen, G., Adams, D., Carrella, A. (eds.) Topics in Nonlinear Dynamics, Volume 1 SE - 2, vol. 35, pp. 15–36. Springer, New York (2013)CrossRefGoogle Scholar
  4. 4.
    Di Maio, D., Ramakrishnan, G., Pascalis, S., Rajasagaran, Y., Ghambir, S.: A study on detection of nonlinearity using an aero-engine casing assembly. In: ISMA (2016)Google Scholar
  5. 5.
    Bendat, J.S., Piersol, A.G.: Random Data: Analysis and Measurement Procedures, vol. 729. John Wiley & Sons (2011)Google Scholar
  6. 6.
    Muhamad, P., Sims, N.D., Worden, K.: On the orthogonalised reverse path method for nonlinear system identification. J. Sound Vib. 331(20), 4488–4503 (2012)CrossRefGoogle Scholar
  7. 7.
    Richards, C.M., Singh, R.: Identification of multi-degree-of-freedom non-linear systems under random excitations by the ‘reverse path’ spectral method. J. Sound Vib. 213(4), 673–708 (1998)CrossRefGoogle Scholar
  8. 8.
    Bendat, J.S.: New techniques for nonlinear system analysis and identification from random data. ASA. 102, 3075 (1997)CrossRefGoogle Scholar
  9. 9.
    Ewins, D.J., Weekes, B., Carri, A.D.: Modal testing for model validation of structures with discrete nonlinearities. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 373(2051), 20140410 (2015)CrossRefGoogle Scholar

Copyright information

© Society for Experimental Mechanics, Inc. 2019

Authors and Affiliations

  • Arnaldo delli Carri
    • 1
  • Sante Campanelli
    • 2
  • Dario Di Maio
    • 3
    Email author
  1. 1.School of Mechanical, Aerospace and Automotive EngineeringCoventry UniversityCoventryUK
  2. 2.Department of Mechanical EngineeringUniversita’ Politecnica delle MarcheAnconaItaly
  3. 3.Department of Mechanical EngineeringUniversity of BristolBristolUK

Personalised recommendations