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Damage Identification of Ground Vehicle Through Passive Probing of Suspension Damping

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Abstract

While active suspension systems have been shown to be effective in the real-time optimization of vehicle ride and handling, these systems also present a means for damage detection and condition monitoring. This research demonstrates the ability to detect damage in a ground vehicle by passively tuning a suspension system to systematically alter the suspension parameters in order to probe the vehicle system response. By modulating the suspension parameters at a particular corner of the vehicle, or combinations of corners, selected operational modes of the sprung and unsprung masses were accentuated providing an increased ability to detect and locate damage in certain vehicle components. The experimental data demonstrates that the ability to detect damage is increased by an average of 71 % for the seven damage conditions that are tested with the passive probing technique. Theoretical and experimental data are also presented that demonstrate the potential of the passive probing concept to increase the ability to locate and quantify damage. The ability to detect vehicle damage during operation could contribute to improved safety and enable condition-based maintenance for reduced life cycle cost.

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References

  1. Savaresi SM (2010) Semi-active suspension control design for vehicles. Butterworth-Heinemann/Elsevier, Amsterdam

    Google Scholar 

  2. Rao SS (2004) Mechanical vibrations. Pearson Prentice Hall, Upper Saddle River

    Google Scholar 

  3. Dimarogonas AD (1996) Vibration for engineers. Prentice Hall, Upper Saddle River

    Google Scholar 

  4. Adams DE (2007) Health monitoring of structural materials and components. Hoboken (N.J.), Chichester

  5. Randall RB (2011) Vibration-based condition monitoring: industrial, aerospace and automotive applications. Wiley, Chichester, West Sussex, Hoboken

    Book  Google Scholar 

  6. Haroon M, Adams DE (2007) Time and frequency domain nonlinear system characterization for mechanical fault identification. Nonlinear Dynam 50(3):387–408

    Article  MATH  Google Scholar 

  7. Metallidis P, Verros G, Natsiavas S, Papadimitriou C (2003) Fault detection and optimal sensor location in vehicle suspensions. J Vib Control 9(3–4):337

    Article  MATH  Google Scholar 

  8. Gillespie TD (1992) Fundamentals of vehicle dynamics

  9. Allemang R, Brown D (2006) A complete review of the Complex Mode Indicator Function (CMIF) with applications

  10. Vold H, Schwarz B, Richardson M (2000) Measuring operating deflection shapes under non-stationary conditions. Presented at IMAC 2000

  11. Allemang R (1999) Vibrations: experimental modal analysis. University of Cincinnati

  12. Bendat JS, Piersol AG (2010) Random data: analysis and measurement procedures. Wiley, Hoboken

    Book  MATH  Google Scholar 

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Correspondence to A. A. Meyer.

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Meyer, A.A., Adams, D.E. Damage Identification of Ground Vehicle Through Passive Probing of Suspension Damping. Exp Mech 53, 557–569 (2013). https://doi.org/10.1007/s11340-012-9662-9

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  • DOI: https://doi.org/10.1007/s11340-012-9662-9

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