DOI QR코드

DOI QR Code

Effect of road surface roughness on indirect approach for measuring bridge frequencies from a passing vehicle

  • Chang, K.C. (Department of Civil Engineering, National Taiwan University) ;
  • Wu, F.B. (Department of Civil Engineering, National Taiwan University) ;
  • Yang, Y.B. (Department of Civil Engineering, National Taiwan University)
  • Received : 2010.07.12
  • Accepted : 2010.10.22
  • Published : 2010.12.25

Abstract

The indirect approach for measuring the bridge frequencies from the dynamic responses of a passing vehicle is a highly potential method. In this study, the effect of road surface roughness on such an approach is studied through finite element simulations. A two-dimensional mathematical model with the vehicle simulated as a moving sprung mass and the bridge as a simply-supported beam is adopted. The dynamic responses of the passing vehicle are solved by the finite element method along with the Newmark ${\beta}$ method. Through the numerical examples studied, it is shown that the presence of surface roughness may have negative consequence on the extraction of bridge frequencies from the test vehicle. However, such a shortcoming can be overcome either by introducing multiple moving vehicles on the bridge, besides the test vehicle, or by raising the moving speed of the accompanying vehicles.

Keywords

References

  1. Chang, K.C. and Yang. Y.B. (2007), "Field tests for extracting bridge frequencies from the acceleration responses of a passing vehicle", Proceedings of the Twentieth KKCNN Symposium on Civil Engineering, 1-4, Jeju, Korea.
  2. ISO 8608 (1995), Mechanical vibration-road surface profiles-reporting of measured data, ISO.
  3. Lin, C.W. and Yang, Y.B. (2005), "Use of a passing vehicle to scan the fundamental bridge frequencies: an experimental verification", Eng. Struct., 27, 1865-1878. https://doi.org/10.1016/j.engstruct.2005.06.016
  4. Yang, Y.B. and Lin, C.W. (2005), "Vehicle-bridge interaction dynamics and potential applications", J. Sound Vib., 284, 205-226. https://doi.org/10.1016/j.jsv.2004.06.032
  5. Yang, Y.B., Lin, C.W. and Yau, J.D. (2004a), "Extracting bridge frequencies from the dynamic response of a passing vehicle", J. Sound Vib., 272, 471-493. https://doi.org/10.1016/S0022-460X(03)00378-X
  6. Yang, Y.B. and Chang, K.C. (2009), "Extracting the bridge frequencies indirectly from a passing vehicle: parametric study", Eng. Struct., 31, 2448-2459. https://doi.org/10.1016/j.engstruct.2009.06.001
  7. Yang, Y.B. and Yau, J.D. (1997), "Vehicle-bridge interaction element for dynamic analysis", J. Struct. Eng. -ASCE, 123(11), 1512-1518. (Errata: 124(4), 479). https://doi.org/10.1061/(ASCE)0733-9445(1997)123:11(1512)
  8. Yang, Y.B., Yau, J.D. and Wu, Y.S. (2004b), Vehicle-bridge interaction dynamics-with applications to high-speed railways, World Scientific, Singapore, 530.
  9. Yau, J.D. (2009), "Vehicle/bridge interactions of a rail suspension bridge considering support movements", Interact. Multiscale Mech., 2(3), 381-396.

Cited by

  1. Local positioning accuracy of laser sensors for structural health monitoring vol.20, pp.5, 2013, https://doi.org/10.1002/stc.1488
  2. Filtering techniques for extracting bridge frequencies from a test vehicle moving over the bridge vol.48, 2013, https://doi.org/10.1016/j.engstruct.2012.09.025
  3. Constructing the mode shapes of a bridge from a passing vehicle: a theoretical study vol.13, pp.5, 2014, https://doi.org/10.12989/sss.2014.13.5.797
  4. Identification of bridge mode shapes using Short Time Frequency Domain Decomposition of the responses measured in a passing vehicle vol.81, 2014, https://doi.org/10.1016/j.engstruct.2014.10.007
  5. Using two connected vehicles to measure the frequencies of bridges with rough surface: a theoretical study vol.223, pp.8, 2012, https://doi.org/10.1007/s00707-012-0671-7
  6. Damping Effect of a Passing Vehicle for Indirectly Measuring Bridge Frequencies by EMD Technique vol.18, pp.01, 2018, https://doi.org/10.1142/S0219455418500086
  7. Two-Mass Vehicle Model for Extracting Bridge Frequencies 2017, https://doi.org/10.1142/S0219455418500566
  8. Contact-Point Response for Modal Identification of Bridges by a Moving Test Vehicle 2017, https://doi.org/10.1142/S0219455418500736
  9. Experimental study of a hand-drawn cart for measuring the bridge frequencies vol.57, 2013, https://doi.org/10.1016/j.engstruct.2013.09.007
  10. Identifying Mode Shapes of Girder Bridges Using Dynamic Responses Extracted from a Moving Vehicle Under Impact Excitation vol.17, pp.08, 2017, https://doi.org/10.1142/S021945541750081X
  11. Rigid-Mass Vehicle Model for Identification of Bridge Frequencies Concerning Pitching Effect pp.1793-6764, 2018, https://doi.org/10.1142/S0219455419500081
  12. Vibration analysis of prestressed concrete bridge subjected to moving vehicles vol.4, pp.4, 2010, https://doi.org/10.12989/imm.2011.4.4.273
  13. Time-frequency analysis of a coupled bridge-vehicle system with breathing cracks vol.5, pp.3, 2012, https://doi.org/10.12989/imm.2012.5.3.169
  14. Effect of road surface roughness on the response of a moving vehicle for identification of bridge frequencies vol.5, pp.4, 2010, https://doi.org/10.12989/imm.2012.5.4.347
  15. Drive-By Blind Modal Identification with Singular Spectrum Analysis vol.32, pp.4, 2019, https://doi.org/10.1061/(asce)as.1943-5525.0001030
  16. Feasibility Study of Tractor-Test Vehicle Technique for Practical Structural Condition Assessment of Beam-Like Bridge Deck vol.12, pp.1, 2020, https://doi.org/10.3390/rs12010114
  17. Pitching effect of a three-mass vehicle model for analyzing vehicle-bridge interaction vol.224, pp.None, 2020, https://doi.org/10.1016/j.engstruct.2020.111248
  18. Application of short-time stochastic subspace identification to estimate bridge frequencies from a traversing vehicle vol.230, pp.None, 2010, https://doi.org/10.1016/j.engstruct.2020.111688