Skip to main content
Log in

Empirical Modeling of Modal Damping Ratio of Impact-Damped Flexible Beams by GEP

  • Research Article - Civil Engineering
  • Published:
Arabian Journal for Science and Engineering Aims and scope Submit manuscript

Abstract

In this paper, the empirical models for predicting the modal damping ratio (\(\xi )\) of impact-damped flexible beams (IDFB) via gene expression programming (GEP) are proposed. The experimental data used in training and testing phases of the GEP are obtained from the literature. The training and testing sets of the empirical models for the GEP are chosen from the database. The empirical models are developed for predicting the \(\xi \) of IDFB as functions of gap between vibrating mechanical system and impact damper (c), mass of particle (m), modal amplitude at the location of the damper (\({\varPhi }_\mathrm{d} )\), frequency of excitation (f), and peak value of the imaginary part of the frequency response functions (\(F_\mathrm{I} )\). The results of empirical models are compared with the results of experimental study and equation given in the literature. The results of empirical models for the \(\xi \) are in good agreement with the experimental results according to the results of equation given in the literature. The results of empirical models also reveal that GEP technique exhibits better performance to predict the \(\xi \) of IDFB.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Akl, F.A.; Butt, A.S.: Application of impact dampers in vibration control of flexible structures. In: NASA/ASEE Summer Faculty Fellowship Program, Final Report, N95–32420, pp. 1–16 (1994)

  2. Iglesias, A.M.: Investigating various modal analysis extraction techniques to estimate damping ratio. Master Degree, Virginia Polytechnic Institute and State University, Blacksburg (2000)

  3. Butt, A.S.; Akl, F.A.: Experimental analysis of impact-damped flexible beams. J. Eng. Mech. ASCE 123(4), 376–83 (1997)

    Article  Google Scholar 

  4. Tanrikulu, A.H.: Application of ANN techniques for estimating modal damping of impact-damped flexible beams. Adv. Eng. Softw. 40, 986–990 (2009)

    Article  MATH  Google Scholar 

  5. Deneme, I.O.: Estimation of modal damping ratio of impact-damped flexible beams using ANFIS. Neural Comput. Appl. 23(6), 1669–1676 (2013)

    Article  Google Scholar 

  6. Masri, S.F.: General motion of impact dampers. J. Acoust. Soc. Am. 47, 229–237 (1970)

    Article  Google Scholar 

  7. Masri, S.F.; Miller, R.K.; Deghanyar, T.J.; Caughey, T.K.: Active parameter control of nonlinear vibrating structures. J. Appl. Mech. 56, 658–66 (1989)

    Article  MATH  Google Scholar 

  8. Saeki, M.: Impact damping with granular materials in a horizontally vibrating system. J. Sound Vib. 251(1), 153–161 (2002)

    Article  Google Scholar 

  9. Cheng, C.C.; Wang, J.Y.: Free vibration analysis of a resilient impact damper. Int. J. Mech. Sci. 45, 589–604 (2003)

    Article  MATH  Google Scholar 

  10. Duncan, M.R.; Wassgren, C.R.; Krousgrill, C.M.: The damping performance of a single particle impact damper. J. Sound Vib. 286, 123–44 (2005)

    Article  Google Scholar 

  11. Li, K.; Darby, A.P.: An experimental investigation into the use of a buffered impact damper. J. Sound Vib. 291, 844–860 (2006)

    Article  Google Scholar 

  12. Chatterjee, S.: On the principle of impulse damper: a concept derived from impact damper. J. Sound Vib. 312, 584–605 (2008)

    Article  Google Scholar 

  13. Ferreira, C.: Gene expression programming in problem solving. WSC6 tutorial, pp. 1–22 (2001)

  14. Ferreira, C.: Gene expression programming: a new adaptive algorithm for solving problems. Complex Syst. 13(2), 87–129 (2001)

    MathSciNet  MATH  Google Scholar 

  15. Ferreira, C.: Analyzing the Founder Effect in Simulated Evolutionary Processes Using Gene Expression Programming. Soft Computing Systems: Design, Management and Applications. IOS Press, Amsterdam (2002)

    Google Scholar 

  16. Sarıdemir, M.: Genetic programming approach for prediction of compressive strength of concretes containing rice husk ash. Constr. Build. Mater. 24, 1911–1919 (2010)

    Article  Google Scholar 

  17. Severcan, M.H.: Prediction of splitting tensile strength from the compressive strength of concrete using GEP. Neural Comput. Appl. 21, 1937–1945 (2012)

    Article  Google Scholar 

  18. Sarıdemir, M.: Empirical modeling of splitting tensile strength from cylinder compressive strength of concrete by genetic programming. Expert Syst. Appl. 38(11), 14257–14268 (2011)

    Google Scholar 

  19. Sarıdemir, M.: Empirical modeling of flexural and splitting tensile strengths of concrete containing fly ash by GEP. Comput. Concr. 17(4), 489–498 (2016)

    Article  Google Scholar 

  20. Kara, I.F.: Prediction of shear strength of FRP-reinforced concrete beams without stirrups based on genetic programming. Adv. Eng. Softw. 42, 295–304 (2011)

    Article  MATH  Google Scholar 

  21. Sarıdemir, M.; Severcan, M.H.: The use of genetic programming and regression analysis for modeling the modulus of elasticity of NSC and HSC. Arab. J. Sci. Eng. 41, 3959–3967 (2016)

    Article  Google Scholar 

  22. Chopra, P.; Sharma, R.K.; Kumar, M.: Prediction of compressive strength of concrete using artificial neural network and genetic programming. Adv. Mater. Sci. Eng. 2016, 1–10 (2016)

    Article  Google Scholar 

  23. Nazari, A.; Safarnejad, M.G.: Prediction early age compressive strength of OPC-based geopolymers with different alkali activators and seashell powder by gene expression programming. Ceram. Int. 39(2), 1433–1442 (2013)

    Article  Google Scholar 

  24. Azamathulla, HMd: Gene-expression programming to predict friction factor for Southern Italian rivers. Neural Comput. Appl. 23(5), 1421–1426 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Metin Hakan Severcan.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Severcan, M.H. Empirical Modeling of Modal Damping Ratio of Impact-Damped Flexible Beams by GEP. Arab J Sci Eng 43, 1735–1745 (2018). https://doi.org/10.1007/s13369-017-2715-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13369-017-2715-8

Keywords

Navigation