Numerical Parametric Study on the Effectiveness of the Contact-Point Response of a Stationary Vehicle for Bridge Health Monitoring
Source abstract
Abstract
Indirect bridge health monitoring is conducted by running an instrumented vehicle over a bridge, where the vehicle serves as a source of excitation and as a signal receiver; however, it is also important to investigate the response of the instrumented vehicle while it is in a stationary position while the bridge is excited by other source of excitation. In this paper, a numerical model of a stationary vehicle parked on a bridge excited by another moving vehicle is developed. Both stationary and moving vehicles are modeled as spring–mass single-degree-of-freedom systems. The bridges are simply supported and are modeled as 1D beam elements. It is known that the stationary vehicle response is different from the true bridge response at the same location. This paper investigates the effectiveness of contact-point response in reflecting the true response of the bridge. The stationary vehicle response is obtained from the numerical model, and its contact-point response is calculated by MATLAB. The contact-point response of the stationary vehicle is investigated under various conditions. These conditions include different vehicle frequencies, damped and undamped conditions, different locations of the stationary vehicle, road roughness effects, different moving vehicle speeds and masses, and a longer span for the bridge. In the time domain, the discrepancy of the stationary vehicle response with the true bridge response is clear, while the contact-point response agrees well with the true bridge response. The contact-point response could detect the first, second, and third modes of frequency clearly, unlike the stationary vehicle response spectra.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Structural Health Monitoring Techniques · Railway Engineering and Dynamics · Ultrasonics and Acoustic Wave Propagation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Perak 32610, Malaysia
Institute of Transportation Infrastructure, Universiti Teknologi PETRONAS, Perak 32610, Malaysia
Department of Maritime Technology, Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Terengganu 21300, Malaysia
Southern Company Structural Engineering, 600 North 18th Street, Birmingham, AL 35203-2206, USA
References (44)
Show source-provided references
1. Rytter, A. (1993). Vibration Based Inspection of Civil Engineering Structures, Aalborg University.
2. Vibration-based damage identification methods: A review and comparative study10.1177/1475921710365419 ↗
3. A review of road structure data in six European countries
4. Ministry of Land Infrastructure Transport and Tourism (2013). Annual Report on Road Statistics: Current State of Bridges.
5. Davis, S.L., Goldberg, D., DeGood, K., Donohue, N., and Corless, J. (2013). The Fix We’re in for: The State of Our Nation’s Bridges, Transportation for America.
6. Identification of beam crack using the dynamic response of a moving spring-mass unit10.12989/imm.2010.3.4.321 ↗
7. Structural damage identification based on modal frequency strain energy assurance criterion and flexibility using enhanced Moth-Flame optimization10.1016/j.istruc.2020.08.085 ↗
8. Structural damage identification based on substructure method and improved whale optimization algorithm10.1007/s13349-020-00456-7 ↗
9. Structural damage identification under temperature variations based on PSO–CS hybrid algorithm10.1142/S0219455419501396 ↗
10. Vibration-based structural damage identification under varying temperature effects10.1061/(ASCE)AS.1943-5525.0000829 ↗
11. Structural health monitoring based on vehicle-bridge interaction: Accomplishments and challenges10.1260/1369-4332.18.12.1999 ↗
12. Yang, Y., Zhu, Y., Wang, L.L., Jia, B.Y., and Jin, R. (2018). Structural Damage Identification of Bridges from Passing Test Vehicles. Sensors, 18.10.3390/s18114035 ↗
13. State-of-the-art review on modal identification and damage detection of bridges by moving test vehicles10.1142/S0219455418500256 ↗
14. González, A., and Hester, D. (July, January 30). The use of wavelets on the response of a beam to a calibrated vehicle for damage detection. Proceedings of the 7th International Symposium on Nondestructive Testing in Civil Engineering (NDTCE’09), Nantes, France.
15. Extracting bridge frequencies from the dynamic response of a passing vehicle10.1016/S0022-460X(03)00378-X ↗
16. McGetrick, P., and Kim, C. (July, January 30). An indirect bridge inspection method incorporating a wavelet-based damage indicator and pattern recognition. Proceedings of the 9th International Conference on Structural Dynamics (EURODYN’14), Porto, Portugal.
17. Use of a passing vehicle to scan the fundamental bridge frequencies: An experimental verification10.1016/j.engstruct.2005.06.016 ↗
18. Extraction of bridge frequencies from the dynamic response of a passing vehicle enhanced by the EMD technique10.1016/j.jsv.2008.11.028 ↗
19. “Drive-by’’bridge frequency-based monitoring utilizing wavelet transform10.1007/s13349-017-0246-3 ↗
20. Extraction of bridge frequencies from a moving test vehicle by stochastic subspace identification10.1061/(ASCE)BE.1943-5592.0000792 ↗
21. Identification of bridge mode shapes using short time frequency domain decomposition of the responses measured in a passing vehicle10.1016/j.engstruct.2014.10.007 ↗
22. Constructing the mode shapes of a bridge from a passing vehicle: A theoretical study10.12989/sss.2014.13.5.797 ↗
23. Damage detection by mode shape squares extracted from a passing vehicle10.1016/j.jsv.2011.09.004 ↗
24. Damage detection in structures under traveling loads by Hilbert–Huang transform10.1016/j.ymssp.2011.06.018 ↗
25. Comparison studies between two wavelet based crack detection methods of a beam subjected to a moving load10.1016/j.ijengsci.2011.10.001 ↗
26. Multi-cracks detection of a beam-like structure based on the on-vehicle vibration signal and wavelet analysis10.1016/j.jsv.2010.05.005 ↗
27. Empirical mode decomposition of the acceleration response of a prismatic beam subject to a moving load to identify multiple damage locations10.1155/2012/804590 ↗
28. Utilizing Moving Vehicles as Sensors for Bridge Condition Screening-A Laboratory Verification
29. Experimental Verification of Indirect Bridge Frequency Measurement Using a Passing Vehicle10.1016/j.proeng.2017.05.379 ↗
30. McGetrick, P., and Kim, C.A. (2021, July 13). A wavelet based drive-by bridge inspection system. In Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS, 2014. Available online: https://core.ac.uk/reader/20536260.
31. Estimating bridge fundamental frequency from vibration response of instrumented passing vehicle: Analytical and experimental study10.1260/1369-4332.15.3.417 ↗
32. Contact-point response for modal identification of bridges by a moving test vehicle10.1142/S0219455418500736 ↗
33. An effective means for damage detection of bridges using the contact-point response of a moving test vehicle10.1016/j.jsv.2018.01.015 ↗
34. Further Revelation on Damage Detection by IAS Computed from the Contact-Point Response of a Moving Vehicle10.1142/S0219455418501377 ↗
35. Indirect bridge modal parameters identification with one stationary and one moving sensors and stochastic subspace identification10.1016/j.jsv.2019.01.024 ↗
36. Oshima, Y., Yamamoto, K., and Sugiura, K. (2014, January 24–29). Stiffness estimation of RC bridges based on vehicle responses. Proceedings of the Conference of Assessment, Durability, Monitoring and Retrofitting of Concrete Structures, Seoul, Korea.
37. Structural damage detection using a parked vehicle induced frequency variation10.1016/j.engstruct.2018.05.082 ↗
38. Mass-normalized mode shape identification method for bridge structures using parking vehicle-induced frequency change10.1002/stc.2174 ↗
39. Measuring bridge frequencies by a test vehicle in non-moving and moving states10.1016/j.engstruct.2019.109859 ↗
40. Yang, Y.-B., Yau, J., Yao, Z., and Wu, Y. (2004). Vehicle-Bridge Interaction Dynamics: With Applications to High-Speed Railways, World Scientific Publishing Co. Pte. Ltd.10.1142/9789812567178 ↗
41. Establishing inspection criteria to verify the dynamic behaviour of the vehicle suspension system by a platform vibrating test bench10.1504/IJVD.2005.007623 ↗
42. ISO (2016). 8608: Mechanical Vibration–Road Surface Profiles–Reporting of Measured Data, ISO.
43. Lyons, R.G. (2004). Understanding Digital Signal Processing, 3/E, Pearson Education India.
44. Natural Frequencies of Concrete Bridges in the Pacific Northwest