Contact Residue for Simultaneous Removal of Vehicle’s Frequency and Surface Roughness in Scanning Bridge Frequencies Using Two Connected Vehicles
Abstract
Two factors are critical to the effectiveness of the vehicle scanning method for bridge frequencies. One is the frequency of the test vehicle itself. This can be eliminated by using the vehicle–bridge contact point response calculated from the vehicle response. The other is the surface roughness of the bridge, which can be removed by using the residual response of two connected vehicles. In this paper, it is demonstrated for the first time that both vehicle’s frequency and surface roughness can be simultaneously eliminated using the contact residue of two connected vehicles. Theoretically, a formulation is presented for both the contact response and residues. In the numerical study, the contact response is demonstrated to outperform the vehicle response as more bridge frequencies can be identified, while the contact residue is verified to work well for various surface roughnesses, vehicle spacings, and bridge damping ratios. For damped bridges with rough surfaces, the contact residue enables us to extract the first three bridge frequencies.
References
- 1. , The state of the art in structural health monitoring of cable-stayed bridges, J. Civil Struct. Heal. Monit. 6(1) (2015) 43–67. Crossref, Web of Science, Google Scholar
- 2. , An integrated structural health monitoring system for the Xijiang high-speed railway arch bridge, Smart Struct. Syst. 21(5) (2018) 611–621. Web of Science, Google Scholar
- 3. , Dynamic stability and response of inclined beams under moving mass and follower force, Int. J. Struct. Stab. Dyn. 20(4) (2020) 2043004. Link, Web of Science, Google Scholar
- 4. , Spurious mode distinguish by modal response contribution index in eigensystem realization algorithm, Struct. Design Spec. Build. 27 (2018) e1491. Crossref, Web of Science, Google Scholar
- 5. , Comprehensive measurement techniques and multi-index correlative evaluation approach for structural health monitoring of highway bridges, Measure 152 (2020) 107360. Google Scholar
- 6. , Structural model flexibility identification through a novel mode selection method, J. Eng. Mech. 147(3) (2021) 06021001. Crossref, Web of Science, Google Scholar
- 7. , State-of-the-art of vehicle-based methods for detecting various properties of highway bridges and railway tracks, Int. J. Struct. Stab. Dyn. 20(13) (2020) 2041004. Link, Web of Science, Google Scholar
- 8. , Extracting bridge frequencies from the dynamic response of a passing vehicle, J. Sound Vib. 272(3–5) (2004) 471–493. Crossref, Web of Science, Google Scholar
- 9. , Vehicle Scanning Method for Bridge (John Wiley & Sons, London, 2019). Crossref, Google Scholar
- 10. , Use of a passing vehicle to scan the fundamental bridge frequencies: An experimental verification, Eng. Struct. 27(13) (2005) 1865–1878. Crossref, Web of Science, Google Scholar
- 11. , Extracting the bridge frequencies indirectly from a passing vehicle: Parametric study, Eng. Struct. 31(10) (2009) 2448–2459. Crossref, Web of Science, Google Scholar
- 12. , Estimating bridge fundamental frequency from vibration response of instrumented passing vehicle: Analytical and experimental study, Adv. Struct. Eng. 15(3) (2012) 417–433. Crossref, Web of Science, Google Scholar
- 13. , Evolution of bridge frequencies and modes of vibration during truck passage, Eng. Struct. 152 (2017) 452–464. Crossref, Web of Science, Google Scholar
- 14. , Damping effect of a passing vehicle for indirectly measuring bridge frequencies by EMD technique, Int. J. Struct. Stab. Dyn. 18(1) (2018) 1850008. Link, Web of Science, Google Scholar
- 15. , Rigid-mass vehicle model for identification of bridge frequencies concerning pitching effect, Int. J. Struct. Stab. Dyn. 19(2) (2019) 1950008. Link, Web of Science, Google Scholar
- 16. , Constructing the mode shapes of a bridge from a passing vehicle: A theoretical study, Smart. Struct. Syst. 13(5) (2014) 797–819. Crossref, Web of Science, Google Scholar
- 17. , Identification of bridge mode shapes using Short Time Frequency Domain Decomposition of the responses measured in a passing vehicle, Eng. Struct. 81 (2014) 386–397. Crossref, Web of Science, Google Scholar
- 18. , Using dynamic responses of moving vehicles to extract bridge modal properties of a field bridge, J. Bridge Eng. 22(6) (2017) 04017018. Crossref, Web of Science, Google Scholar
- 19. , Identification of damping in a bridge using a moving instrumented vehicle, J. Sound Vib. 331(18) (2012) 4115–4131. Crossref, Web of Science, Google Scholar
- 20. , The use of a dynamic truck–trailer drive-by system to monitor bridge damping, Struct. Health Monit. 13(2) (2014) 143–157. Crossref, Web of Science, Google Scholar
- 21. , Bridge damping identification by vehicle scanning method, Eng. Struct. 183 (2019) 637–645. Crossref, Web of Science, Google Scholar
- 22. , Using a single-DOF test vehicle to simultaneously retrieve the first few frequencies and damping ratios of the bridge, Int. J. Struct. Stab. Dyn. 21(8) (2021) 2150108. Link, Web of Science, Google Scholar
- 23. , Pseudo-static approach for damage identification of bridges based on coupling vibration with a moving vehicle, J. Struct. Infrastruct. Eng. 4(5) (2008) 371–379. Crossref, Web of Science, Google Scholar
- 24. , Damage detection by mode shape squares extracted from a passing vehicle, J. Sound Vib. 331(2) (2012) 291–307. Crossref, Web of Science, Google Scholar
- 25. , Baseline-free damage localization method for statically determinate beam structures using dual-type response induced by quasi-static moving load, J. Sound Vib. 400 (2017) 58–70. Crossref, Web of Science, Google Scholar
- 26. , Development of practical health monitoring system for short- and medium-span bridges based on vibration responses of city bus, J. Civil Struct. Health Monit. 2(1) (2012) 47–63. Crossref, Google Scholar
- 27. , Experimental study of a hand-drawn cart for measuring the bridge frequencies, Eng. Struct. 57 (2013) 222–231. Crossref, Web of Science, Google Scholar
- 28. , Measuring bridge frequencies by a test vehicle in non-moving and moving states, Eng. Struct. 203 (2020) 109859. Crossref, Web of Science, Google Scholar
- 29. , Damped test vehicle for scanning bridge frequencies: Theory, simulation and experiment, J. Sound Vib. 506 (2021) 116155. Crossref, Web of Science, Google Scholar
- 30. , Refined detection technique for bridge frequencies using rocking motion of single-axle moving vehicle, Mech. Syst. Signal Process. 162 (2022) 107992. Crossref, Web of Science, Google Scholar
- 31. , Contact-point response for modal identification of bridges by a moving test vehicle, Int. J. Struct. Stab. Dyn. 18(5) (2018) 1850073. Link, Web of Science, Google Scholar
- 32. , Further revelation on damage detection by IAS computed from contact-point response of moving vehicle, Int. J. Struct. Stab. Dyn. 18(11) (2018) 1850137. Link, Web of Science, Google Scholar
- 33. , An effective means for damage detection of bridges using the contact-point response of a moving test vehicle, J. Sound Vib. 419 (2018) 158–172. Crossref, Web of Science, Google Scholar
- 34. , Using two connected vehicles to measure the frequencies of bridges with rough surface: A theoretical study, Acta Mechanica. 223(8) (2012) 1851–1861. Crossref, Web of Science, Google Scholar
- 35. , An indirect method for bridge mode shapes identification based on wavelet analysis, Struct. Control Health Monit. 27(12) (2020) e2630. Crossref, Web of Science, Google Scholar
- 36.
ISO 8608 , Mechanical Vibration-road Surface Profiles-reporting of Measured Data (International Organization for Standardization, Geneva, 1995). Google Scholar - 37. , Understanding Digital Signal Processing (Prentice-Hall, Boston, 2011). Google Scholar
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