Wave-Screening Methods for Prestress-Loss Assessment of a Large-Scale Post-Tensioned Concrete Bridge Model Under Outdoor Conditions
Source abstract
Abstract
This paper presents advancements in structural health monitoring (SHM) techniques, with a particular focus on wave-screening methods for assessing prestress loss in a large-scale prestressed concrete (PC) bridge model under outdoor conditions. The wave-screening process utilizes low-frequency wave propagation obtained from seismic interferometry of structural free vibrations and high-frequency wave propagation obtained through ultrasonic transducers embedded in the structure. An adjustable post-tensioning system was employed in a series of experiments to simulate prestress loss. By comparing bridge vibrations under varying post-tensioning forces, the study investigated prestress loss and examined temperature-related effects using the coda wave interferometry (CWI) method. Local structural alterations were analyzed through wave velocity variations, demonstrating sensitivity to bridge temperature changes. The findings indicate that wave-based methods are more effective than traditional modal analysis for damage detection, highlighting the dual impacts of prestress loss and temperature, as well as damage localization. This study underscores the need for long-term measurements to account for temperature fluctuations when analyzing vibration measurements to investigate changes in prestressing force in PC structures.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Structural Health Monitoring Techniques · Concrete Corrosion and Durability · Structural Engineering and Vibration Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Bundesanstalt für Materialforschung und -prüfung (BAM), 12205 Berlin, Germany
Department of Earth and Environmental Sciences, Ludwig-Maximilians-University, 80333 Munich, Germany
Institute of Geophysics, University of Hamburg, 20146 Hamburg, Germany
Funding
Bundesministerium für Bildung und Forschung (BMBF)
References (46)
Show source-provided references
1. Long-term monitoring and identification of bridge structural parameters10.1111/j.1467-8667.2008.00572.x ↗
2. Rainieri, C., and Fabbrocino, G. (2014). Operational Modal Analysis of Civil Engineering Structures, Springer.10.1007/978-1-4939-0767-0 ↗
3. Vibration-based structural health monitoring using output-only measurements under changing environment10.1016/j.ymssp.2007.07.004 ↗
4. Structural health monitoring research under varying temperature condition: A review10.1007/s13349-020-00444-x ↗
5. Vibration feature extraction using signal processing techniques for structural health monitoring: A review10.1016/j.ymssp.2022.109175 ↗
6. Effects of testing, analysis, damage, and environment on modal parameters10.1006/mssp.1999.1271 ↗
7. Vibration characteristics and damage detection in a suspension bridge10.1016/j.jsv.2016.04.025 ↗
8. Identification of Modal Parameters of Scaled Bridge PC Beams by OMA Dynamic Tests10.1061/JBENF2.BEENG-6763 ↗
9. Damage detection of prestressed concrete beams affected by shear and flexure cracks through vibration monitoring10.1016/j.engstruct.2024.117572 ↗
10. Bonopera, M., Chang, K.C., and Lee, Z.K. (2020). State-of-the-art review on determining prestress losses in prestressed concrete girders. Appl. Sci., 10.10.3390/app10207257 ↗
11. Zanini, M.A., Faleschini, F., and Pellegrino, C. (2022). New trends in assessing the prestress loss in post-tensioned concrete bridges. Front. Built Environ., 8.10.3389/fbuil.2022.956066 ↗
12. Detection of structural damage through changes in frequency: A review10.1016/S0141-0296(96)00149-6 ↗
13. Assessment of vibration-based damage identification techniques10.1016/j.jsv.2005.07.036 ↗
14. Vibration based condition monitoring: A review10.1177/1475921704047500 ↗
15. A review of operational modal analysis techniques for in-service modal identification10.1007/s40430-020-02470-8 ↗
16. Embedded ultrasonic transducers for active and passive concrete monitoring10.3390/s150509756 ↗
17. Schumacher, T., and Niederleithinger, E. (2022, January 16–18). Combining Passive and Active Ultrasonic Stress Wave Monitoring Techniques: Opportunities for Condition Evaluation of Concrete Structures. Proceedings of the NDT-CE 2022-The International Symposium on Nondestructive Testing in Civil Engineering, Zurich, Switzerland.
18. Monitoring of concrete structures using the ultrasonic pulse velocity method10.1088/0964-1726/24/11/113001 ↗
19. A review of non-destructive testing methods of composite materials10.1016/j.prostr.2016.02.008 ↗
20. Wave propagation based monitoring of concrete curing using piezoelectric materials: Review and path forward10.1016/j.ndteint.2018.06.002 ↗
21. Ultrasonic measurements and static load tests in bridge evaluation10.1016/0963-8695(95)00043-7 ↗
22. Epple, N., Sanchez-Trujillo, C.A., and Niederleithinger, E. (2023). Ultrasonic monitoring of large-scale structures-input to engineering assessment. Life-Cycle of Structures and Infrastructure Systems, CRC Press.10.1201/9781003323020-221 ↗
23. Hassani, S., and Dackermann, U. (2023). A systematic review of advanced sensor technologies for non-destructive testing and structural health monitoring. Sensors, 23.10.3390/s23042204 ↗
24. Environmental and operational conditions effects on Lamb wave based structural health monitoring systems: A review10.1016/j.ultras.2020.106114 ↗
25. A comparison of strategies for seismic interferometry10.1007/s10712-009-9069-z ↗
26. Niederleithinger, E., Wang, X., Herbrand, M., and Müller, M. (2018). Processing ultrasonic data by coda wave interferometry to monitor load tests of concrete beams. Sensors, 18.10.3390/s18061971 ↗
27. Monitoring of prestressing forces in prestressed concrete structures—An overview
28. Coda wave interferometry for estimating nonlinear behavior in seismic velocity10.1126/science.1070015 ↗
29. Depth sensitivity of seismic coda waves to velocity perturbations in an elastic heterogeneous medium10.1093/gji/ggt043 ↗
30. A review of ultrasonic Coda Wave Interferometry in concrete10.1016/j.cemconres.2013.07.009 ↗
31. Grabke, S., Clauß, F., Bletzinger, K.U., Ahrens, M.A., Mark, P., and Wüchner, R. (2021). Damage detection at a reinforced concrete specimen with coda wave interferometry. Materials, 14.10.3390/ma14175013 ↗
32. Zhong, B., and Zhu, J. (2022). Applications of stretching technique and time window effects on ultrasonic velocity monitoring in concrete. Appl. Sci., 12.10.3390/app12147130 ↗
33. Seismic Interferometry: Tutorial on seismic interferometry: Part 1—Basic principles and applications10.1190/1.3457445 ↗
34. Stability of monitoring weak changes in multiply scattering media with ambient noise correlation: Laboratory experiments10.1121/1.3125345 ↗
35. (2023). European Technical Assessment (Standard No. ETA-05/0123). Available online: https://dywidag.com/downloads/eta-05-0123-dywidag-pt-bar-tendon-system-with-bars-o-175-to-47-mm/de.
36. Using piezoelectric sensors for ultrasonic pulse velocity measurements in concrete10.1088/0964-1726/22/11/115016 ↗
37. Design optimization of embedded ultrasonic transducers for concrete structures assessment10.1016/j.ultras.2017.04.002 ↗
38. Thermal modulation of nonlinear ultrasonic wave for concrete damage evaluation10.1121/1.5108532 ↗
39. Modal identification of output-only systems using frequency domain decomposition10.1088/0964-1726/10/3/303 ↗
40. Lorenzo, G.W.F., Mercerat, D., d’Avila, M.P.S., Bertrand, E., and Deschamps, A. (2015, January 12–14). Operational modal analysis of a high rise rc building and modelling. Proceedings of the IOMAC’15-The 6th International Operational Modal Analysis Conference, Gijon, Spain.
41. Pasca, D.P., Aloisio, A., Rosso, M.M., and Sotiropoulos, S. PyOMA and PyOMA_GUI: A Python module and software for Operational Modal Analysis, Softw. X, in press.
42. Depth detection of surface-breaking cracks in concrete plates using fundamental Lamb modes10.1016/j.ndteint.2009.02.009 ↗
43. Monitoring stress changes in a concrete bridge with coda wave interferometry10.1121/1.3553226 ↗
44. Measuring acoustoelastic coefficients for stress evaluation in concrete10.1016/j.conbuildmat.2021.125127 ↗
45. Aloisio, A. (2021). Aspects of vibration-based methods for the prestressing estimate in concrete beams with internal bonded or unbonded tendons. Infrastructures, 6.10.3390/infrastructures6060083 ↗
46. Bolborea, B., Baera, C., Dan, S., Gruin, A., Burduhos-Nergis, D.D., and Vasile, V. (2021). Concrete compressive strength by means of ultrasonic pulse velocity and moduli of elasticity. Materials, 14.10.37247/PAMS4ED.4.22.7 ↗