Analysis of Short-Term Prestress Losses in Post-tensioned Structures Using Smart Strands
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Abstract
Abstract The proper estimation of prestressing force (PF) distribution is critical to ensure the safety and serviceability of prestressed concrete (PSC) structures. Although the PF distribution can be theoretically calculated based on certain predictive equations, the resulting accuracy of the theoretical PF needs to be further validated by comparison with reliable test data. Therefore, a Smart Strand with fiber optic sensors embedded in a core wire was developed and applied to a full-scale specimen and two long-span PSC girder bridges in this study. The variation in PF distribution during tensioning and anchoring was measured using the Smart Strand and was analyzed by comparison with the theoretical distribution calculated using the predictive equations for short-term prestress losses. In particular, the provisions for anchorage seating loss and elastic shortening loss were reviewed and possible improvements were proposed. A new method to estimate the amount of anchorage slip based on real PF distributions revealed that the general assumption of 3–6-mm slip falls within a reasonable range. Finally, the sensitivity of the PF distribution to a few of the variables included in the equation of the elastic shortening loss was examined. The study results confirmed that the developed Smart Strand can be used to improve the design parameters or equations in PSC structures by overcoming the drawbacks of conventional sensing technologies.
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Research context
OpenAlex topics: Advanced Fiber Optic Sensors · Structural Health Monitoring Techniques · Geotechnical Engineering and Underground Structures
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References (34)
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1. Abdel-Jaber, H., & Glisic, B. (2019). Monitoring of long-term prestress losses in prestressed concrete structures using fiber optic sensors. Structural Health Monitoring, 18(1), 254–269. https://doi.org/10.1177/147592171775187010.1177/1475921717751870 ↗
2. ACI Committee 318. (2019). Building code requirements for structural concrete (ACI 318–19). Farmington Hills: American Concrete Institute (ACI).
3. American Association of State Highway and Transportation Officials (AASHTO). (2020). AASHTO LRFD bridge design specifications (9th ed.). Washington, D.C.: AASHTO
4. American Society for Testing and Materials (ASTM). (2018). Standard specification for low-relaxation, seven-wire strand for prestressed concrete (ASTM A416/A416M-18). West Conshohocken: ASTM International.
5. Burns, N. H., Helwig, T., & Tsujimoto, T. (1991). Effective prestress force in continuous post-tensioned beams with unbonded tendons. ACI Structural Journal, 88(1), 84–90. https://doi.org/10.14359/278010.14359/2780 ↗
6. Chaki, S., & Bourse, G. (2009). Stress level measurement in prestressed steel strands using acoustoelastic effect. Experimental Mechanics, 49, 673–681. https://doi.org/10.1007/s11340-008-9174-910.1007/s11340-008-9174-9 ↗
7. Cho, K. H., Park, S. Y., Cho, J. R., Kim, S. T., & Park, Y. H. (2015). Estimation of prestress force distribution in the multi-strand system of prestressed concrete structures. Sensors, 15(6), 14079–14092. https://doi.org/10.3390/s15061407910.3390/s150614079 ↗
8. European Committee for Standardization (CEN). (2004). Eurocode 2: Design of concrete structures—Part 1–1: General rules and rules for buildings (EN 1992-1-1). Brussels: CEN
9. Gao, J., Shi, B., Zhang, W., & Zhu, H. (2006). Monitoring the stress of the post-tensioning cable using fiber optic distributed strain sensor. Measurement, 39(5), 420–428. https://doi.org/10.1016/j.measurement.2005.12.00210.1016/j.measurement.2005.12.002 ↗
10. Garber, D. B., Gallardo, J. M., Deschenes, D. J., & Bayrak, O. (2015). Experimental investigation of prestress losses in full-scale bridge girders. ACI Structural Journal, 112(5), 553–564. https://doi.org/10.14359/5168790910.14359/51687909 ↗
11. Jeon, S. J., Park, S. Y., Kim, S. H., Kim, S. T., & Park, Y. H. (2015). Estimation of friction coefficient using Smart Strand. International Journal of Concrete Structures and Materials, 9(3), 369–379. https://doi.org/10.1007/s40069-015-0112-910.1007/s40069-015-0112-9 ↗
12. Jeon, S. J., Shin, H., Kim, S. H., Park, S. Y., & Yang, J. M. (2019). Transfer lengths in pretensioned concrete measured using various sensing technologies. International Journal of Concrete Structures and Materials, 13(6), 739–754. https://doi.org/10.1186/s40069-019-0355-y10.1186/s40069-019-0355-y ↗
13. Joint ACI-ASCE Committee 423. (2016). Guide to estimating prestress loss (ACI 423.10R-16). Farmington Hills: American Concrete Institute (ACI)
14. Kim, J. M., Kim, H. W., Park, Y. H., Yang, I. H., & Kim, Y. S. (2012). FBG sensors encapsulated into 7-wire steel strand for tension monitoring of a prestressing tendon. Advances in Structural Engineering, 15(6), 907–917. https://doi.org/10.1260/1369-4332.15.6.90710.1260/1369-4332.15.6.907 ↗
15. Kim, S. H., Park, S. Y., & Jeon, S. J. (2020). Long-term characteristics of prestressing force in post-tensioned structures measured using Smart Strands. Applied Sciences, 10(12), 4084. https://doi.org/10.3390/app1012408410.3390/app10124084 ↗
16. Kim, S. T., Park, Y. H., Park, S. Y., Cho, K. H., & Cho, J. R. (2015). A sensor-type PC strand with an embedded FBG sensor for monitoring prestress forces. Sensors, 15(1), 1060–1070. https://doi.org/10.3390/s15010106010.3390/s150101060 ↗
17. Kim, S. H., Park, S. Y., Park, Y. H., & Jeon, S. J. (2019). Friction characteristics of post-tensioning tendons in full-scale structures. Engineering Structures, 183, 389–397. https://doi.org/10.1016/j.engstruct.2019.01.02610.1016/j.engstruct.2019.01.026 ↗
18. Kim, J. T., Yun, C. B., Ryu, Y. S., & Cho, H. M. (2004). Identification of prestress-loss in PSC beams using modal information. Structural Engineering and Mechanics, 17(3–4), 467–482. https://doi.org/10.12989/sem.2004.17.3_4.46710.12989/sem.2004.17.3_4.467 ↗
19. Korea Concrete Institute (KCI). (2012). Structural concrete design code. Seoul: KCI.
20. Lan, C., Zhou, Z., & Ou, J. (2014). Monitoring of structural prestress loss in RC beams by inner distributed Brillouin and fiber Bragg grating sensors on a single optical fiber. Structural Control and Health Monitoring, 21(3), 317–330. https://doi.org/10.1002/stc.156310.1002/stc.1563 ↗
21. Lundqvist, P., & Nilsson, L. O. (2011). Evaluation of prestress losses in nuclear reactor containments. Nuclear Engineering and Design, 241(1), 168–176. https://doi.org/10.1016/j.nucengdes.2010.11.00710.1016/j.nucengdes.2010.11.007 ↗
22. Majumder, M., Gangopadhyay, T. K., Chakraborty, A. K., Dasgupta, K., & Bhattacharya, D. K. (2008). Fibre Bragg gratings in structural health monitoring—Present status and applications. Sensors and Actuators A: Physical, 147(1), 150–164. https://doi.org/10.1016/j.sna.2008.04.00810.1016/j.sna.2008.04.008 ↗
23. Mehta, P. K., & Monteiro, P. J. M. (2006). Concrete: Microstructure, properties, and materials (3rd ed.). New York: McGraw-Hill Companies Inc.
24. Nellen, P. M., Frank, A., Broennimann, R., Meier, U., & Sennhauser, U. J. (1999). Fiber optical Bragg grating sensors embedded in CFRP wires. SPIE Proceedings, 3670, 440–449. https://doi.org/10.1117/12.34975810.1117/12.349758 ↗
25. Neville, A. M. (1996). Properties of concrete (4th ed.). Hoboken: John Wiley & Sons Inc.
26. Nilson, A. H. (1987). Design of prestressed concrete (2nd ed.). Hoboken: John Wiley & Sons Inc.
27. Perry, M., Yan, Z., Sun, Z., Zhang, L., Niewczas, P., & Johnston, M. (2014). High stress monitoring of prestressing tendons in nuclear concrete vessels using fibre-optic sensors. Nuclear Engineering and Design, 268, 35–40. https://doi.org/10.1016/j.nucengdes.2013.12.03810.1016/j.nucengdes.2013.12.038 ↗
28. Post-Tensioning Institute (PTI). (2006). Post-tensioning manual (6th ed.). Phoenix: PTI
29. Rodrigues, C., Félix, C., Lage, A., & Figueiras, J. (2010). Development of a long-term monitoring system based on FBG sensors applied to concrete bridges. Engineering Structures, 32(8), 1993–2002. https://doi.org/10.1016/j.engstruct.2010.02.03310.1016/j.engstruct.2010.02.033 ↗
30. Shen, S., Wang, Y., Ma, S. L., Huang, D., Wu, Z. H., & Guo, X. (2018). Evaluation of prestress loss distribution during pre-tensioning and post-tensioning using long-gauge fiber Bragg grating sensors. Sensors, 18(12), 4106. https://doi.org/10.3390/s1812410610.3390/s18124106 ↗
31. Tan, X., Bao, Y., Zhang, Q., Nassif, H., & Chen, G. (2021). Strain transfer effect in distributed fiber optic sensors under an arbitrary field. Automation in Construction, 124, 103597. https://doi.org/10.1016/j.autcon.2021.10359710.1016/j.autcon.2021.103597 ↗
32. VSL International Ltd. (2015). VSL strand post-tensioning systems. Koniz: VSL International Ltd.
33. Washer, G. A., Green, R. E., & Pond, R. B., Jr. (2002). Velocity constants for ultrasonic stress measurement in prestressing tendons. Research in Nondestructive Evaluation, 14, 81–94. https://doi.org/10.1007/s00164-002-0003-810.1007/s00164-002-0003-8 ↗
34. Yao, Y., Yan, M., & Bao, Y. (2021). Measurement of cable forces for automated monitoring of engineering structures using fiber optic sensors: A review. Automation in Construction, 126, 103687. https://doi.org/10.1016/j.autcon.2021.10368710.1016/j.autcon.2021.103687 ↗