Long-Term Prestress Loss Calculation Considering the Interaction of Concrete Shrinkage, Concrete Creep, and Stress Relaxation
Abstract
:1. Introduction
2. Calculation Method of Long-Term Prestress Loss Considering the Interaction of Shrinkage, Creep, and Stress Relaxation
2.1. Basic Assumptions
- At any time, the elastic stress and elasticity of concrete should become linear;
- The assumption of flat section deformation of the beam body is valid;
- The creep deformation is linear, satisfying the superposition principle;
- Ordinary reinforcement and prestressed reinforcement are completely bonded to the concrete without slip;
- There is no cracking phenomenon in the concrete section.
2.2. Relaxation of Prestressed Reinforcement
2.3. Time-Varying Law Model of Long-Term Prestress Loss
3. Long-Term Field Test
3.1. Experimental Materials
3.2. Test Setup
3.3. Loading and Testing
4. Results and Discussion
4.1. Long-Term Effective Tensile Test Results and Analysis
4.2. Analysis of Influence of Tensile Age and Initial Loading Stress Level
- (1)
- Tensile age
- (2)
- Initial loading stress level
4.3. Comparison and Verification of the Measured Values and Calculated Results
- (1)
- Prestress loss caused by relaxation of prestressed ribs:
- (2)
- Prestress loss caused by concrete shrinkage creep:
- (1)
- Prestress loss caused by relaxation of prestressed ribs:
- (2)
- Prestress loss due to concrete shrinkage:
- (3)
- Prestress loss caused by concrete creep:
5. Conclusions
- The interaction between concrete shrinkage, creep, and the stress relaxation of prestressed reinforcement was considered. A time-varying model of the long-term prestress losses of prestressed concrete beams was established. A calculation method for the long-term prestress losses of concrete structures was developed. The calculation results of the long-term prestress loss of a structure were more secure and reliable.
- A long-term prestress loss test of a prestressed concrete T-beam in a long-term field test environment was carried out. The development trend of the long-term effective tensile force of the prestressed tendons of the T-beam was essentially the same in all tests. With an increase in the load holding time, the long-term effective tensile force gradually decreased. The tensile force changed rapidly in the initial stage of loading and gradually slowed down in the later stage. When the load holding time was 774 d, the long-term tensile losses of the prestressed tendons of B1#~B4# were 10.52%, 7.44%, 9.01%, and 6.30%, respectively.
- The influence of the tensile age and the initial loading stress level on the long-term prestress losses of prestressed concrete T-beams was analyzed. When the holding time was 774 d, the ratios of the long-term prestress losses of beams 1# and 3# and beams 2# and 4# were 1.169 and 1.175, respectively. This shows that the later the tensile age, the smaller the long-term prestress loss of the prestressed tendons. The ratios of the long-term prestress losses of beams 1# and 2# and beams 3# and 4# were 1.418 and 1.425, respectively. This indicates that the higher the initial loading stress level, the smaller the long-term prestress loss of the prestressed tendons.
- The measured values of the long-term prestress losses of the prestressed concrete T-beams were compared with the calculated results of the JTG 3362-2018 specification, the AASHTO LRFD-2007 specification, and the time-varying law model. The calculated results of the long-term prestress losses of the three theoretical models were essentially consistent with the development trend of the measured values. When the load holding time was less than 100 d, the calculated results of the three models were in good agreement with the measured values. However, as the load holding time continued to increase, the differences between the calculated results of JTG 3362-2018 and AASHTO LRFD-2007 and the measured values became larger and larger. The average coefficients of variation of the long-term prestress loss calculation results of JTG 3362-2018, AASHTO LRFD-2007, and the time-varying law model were 17.23%, 10.29%, and 5.64%, respectively. This shows that the time-varying law model of the long-term prestress losses of prestressed tendons established in this study has good accuracy and can better predict the long-term prestress losses of prestressed tendons.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Pavlović, A.; Donchev, T.; Petkova, D.; Limbachiya, M. Short- and Long-Term Prestress Losses in Basalt FRP Prestressed Concrete Beams under Sustained Loading. J. Compos. Constr. 2022, 26, 56–63. [Google Scholar] [CrossRef]
- Xu, Q.; Zeng, B.; Xu, X.D.; Wang, X.F. Distribution Characteristics and Estimation Method of Prestress in Concrete Structures Based on Gaussian Mixture Model. J. Archit. Struct. 2022, 43, 60–67. [Google Scholar]
- Zheng, X.; He, M.; Lam, F.; Sun, X.; Liang, F.; Li, Z. Experimental and Numerical Investigation of Long-Term Loss of Prestressing Force in Posttensioned Timber Joints with Different Structural Details. J. Struct. Eng. 2022, 148, 97–105. [Google Scholar] [CrossRef]
- Shokoohfar, A.; Rahai, A. Prediction model of long-term prestress loss interaction for prestressed concrete containment vessels. Arch. Civ. Mech. Eng. 2017, 17, 132–144. [Google Scholar] [CrossRef]
- Moravčík, M.; Kraľovanec, J. Determination of Prestress Losses in Existing Pre-Tensioned Structures Using Bayesian Approach. Materials 2022, 15, 3548. [Google Scholar] [CrossRef] [PubMed]
- Tahsiri, H.; Belarbi, A. Evaluation of prestress relaxation loss and harping characteristics of prestressing CFRP systems. Constr. Build. Mater. 2022, 331, 127339. [Google Scholar] [CrossRef]
- Gao, X.; Jia, J.; Mei, G.; Bao, X.; Zhang, L.; Liao, X. A New Prestress Loss Calculation Model of Anchor Cable in Pile–Anchor Structure. Mathematics 2022, 10, 1260. [Google Scholar] [CrossRef]
- Biswal, S.; Ramaswamy, A. Uncertainty based model averaging for prediction of long-time prestress losses in concrete structures. Constr. Build. Mater. 2017, 153, 469–480. [Google Scholar] [CrossRef]
- Sun, G.; Li, Z.; Wu, J.; Qu, X.; Ren, J. Investigation into the Prestress Loss and Thermal Expansion Performance of Steel Cables at High Temperature. Int. J. Steel Struct. 2022, 22, 1–17. [Google Scholar] [CrossRef]
- Lee, S.; Lee, C. Bonding Time and Prestress Loss in Precast Pretensioned Concrete during Steam Curing. J. Struct. Eng. 2022, 148, 04022002. [Google Scholar] [CrossRef]
- Kim, S.H.; Park, S.Y.; Kim, S.T.; Jeon, S.J. Analysis of Short-Term Prestress Losses in Post-tensioned Structures Using Smart Strands. Int. J. Concr. Struct. Mater. 2022, 16, 1–15. [Google Scholar] [CrossRef]
- Kim, S.T.; Park, Y.S.; Yoo, C.H.; Shin, S.; Park, Y.H. Analysis of Long-Term Prestress Loss in Prestressed Concrete (PC) Structures Using Fiber Bragg Grating (FBG) Sensor-Embedded PC Strands. Appl. Sci. 2021, 11, 12153. [Google Scholar] [CrossRef]
- Abdel-Jaber, H.; Glisic, B. Monitoring of long-term prestress losses in prestressed concrete structures using fiber optic sensors. Struct. Health Monit. 2019, 18, 254–269. [Google Scholar] [CrossRef]
- Bonopera, M.; Chang, K.C.; Lee, Z.K. State-of-the-art review on determining prestress losses in prestressed concrete girders. Appl. Sci. 2020, 10, 7257. [Google Scholar] [CrossRef]
- Lu, Z.F.; Liu, M.Y. A Calculation Method for Long-term Prestress Loss of Concrete Structures. J. Wuhan Univ. Technol. 2011, 33, 83–87. [Google Scholar]
- Páez, P.M.; Sensale, B. Improved prediction of long-term prestress loss in unbonded prestressed concrete members. Eng. Struct. 2018, 174, 111–125. [Google Scholar] [CrossRef]
- Guo, T.; Chen, Z.; Lu, S.; Yao, R. Monitoring and analysis of long-term prestress losses in post-tensioned concrete beams. Measurement 2018, 122, 573–581. [Google Scholar] [CrossRef]
- Cao, G.; Zhang, W.; Hu, J.; Zhang, K. Experimental study on the long-term behaviour of RBPC T-beams. Int. J. Civ. Eng. 2018, 16, 887–895. [Google Scholar] [CrossRef]
- Samer, A.; Youakim, A.G.; Hida, S.E. Prediction of long-term prestress losses. PCI J. 2007, 52, 116–130. [Google Scholar]
- Yang, M.; Gong, J.; Yang, X. Refined calculation of time-dependent prestress losses in prestressed concrete girders. Struct. Infrastruct. Eng. 2020, 16, 1430–1446. [Google Scholar] [CrossRef]
- Zhang, H.; Guo, Q.; Xu, L.Y. Prediction of long-term prestress loss for prestressed concrete cylinder structures using machine learning. Eng. Struct. 2023, 279, 115577. [Google Scholar] [CrossRef]
- CCCC Highway Consultants Co, Ltd. Code for Design of Highway Reinforced Concrete and Prestressed Concrete Bridges and Culverts: JTG 3362-2018; Communications Press: Beijing, China, 2018. [Google Scholar]
- AASHTO LRED Bridge Design Soecifications (2007); American Association of State Highway and Transportion Officiais: Washington, DC, USA, 2009.
- Pan, Z.F.; Lv, Z.T.; Liu, Z. Uncertainty Analysis of Shrinkage and creep Effect of Continuous Rigid Frame on Sutong Bridge. Eng. Mech. 2009, 26, 67–73. [Google Scholar] [CrossRef]
- Bazant, Z.P. Prediction of concrete creep effects using age-adjusted effective modulus method. ACI J. 1972, 69, 212–217. [Google Scholar]
- Bažant, Z.P. Concrete fracture models: Testing and practice. Eng Fract Mech. 2002, 69, 165–205. [Google Scholar] [CrossRef]
- Alghazali, H.; Myers, J. Time-dependent prestress loss behavior of girders in Missouri bridge A7957 compared with a US data set of high-performance concrete bridge girders. PCI J. 2017, 62, 76–87. [Google Scholar] [CrossRef]
- Guo, T.; Ping, Z.; De, L.; Tian, Z. Study on short-term prestress loss of bridge reinforced with large diameter carbon fiber bars. IOP Conf. Ser. Earth Environ. Sci. 2021, 820, 012001. [Google Scholar] [CrossRef]
- Shi, K.; Wu, X.; Tian, Y.; Xie, X. Analysis of Re-Tensioning Time of Anchor Cable Based on New Prestress Loss Model. Mathematics 2021, 9, 1094. [Google Scholar] [CrossRef]
- Li, X.; Deng, J.; Wang, Y.; Xie, Y.; Liu, T.; Rashid, K. RC beams strengthened by prestressed CFRP plate subjected to sustained loading and continuous wetting condition: Time-dependent prestress loss. Constr. Build. Mater. 2021, 275, 122187. [Google Scholar] [CrossRef]
- Bellendir, E.N.; Rubin, O.D.; Lisichkin, S.E.; Zyuzina, O.V. Experimental Study into Prestress Losses of Basalt Composite Reinforcement Used in the Composition of Concrete Elements. Power Technol. Eng. 2021, 54, 605–608. [Google Scholar] [CrossRef]
- Yue, S.; Chu, Q. Prestress Loss Analysis and Overload Early Warning Research of Simply Supported Girder Bridge Based on Embedded Computer and Fiber Grating Sensing Technology. J. Phys. Conf. Ser. 2020, 1648, 032037. [Google Scholar] [CrossRef]
- Kamatchi, R.; Rao, K.B.; Dhayalini, B.; Saibabu, S.; Parivallal, S.; Ravisankar, K.; Iyer, N. R Long-Term Prestress Loss and Camber of Box-Girder Bridge. ACI Struct. J. 2014, 111, 1297–1306. [Google Scholar] [CrossRef]
- Li, G.; Wu, J.T. Stress relaxation characteristics of prestressed GFRP anchor under erosion conditions. Chin. J. Rock Mech. Eng. 2022, 39, 877–886. [Google Scholar]
- Xu, F.; Li, D.; Zhang, Z.; Zhang, Q.T.; Kang, L.; Wei, Y. Comparison of Concrete Creep-Induced Structural Prestress Loss Calculated by Codes from Different Countries. J. Highw. Transp. Res. Dev. 2019, 13, 23–34. [Google Scholar] [CrossRef]
- Shi, J.; Wang, X.; Wu, Z.; Wei, X.; Ma, X. Long-term mechanical behaviors of uncracked concrete beams prestressed with external basalt fiber-reinforced polymer tendons. Eng. Struct. 2022, 262, 114309. [Google Scholar] [CrossRef]
- Sung, D.; Hong, S. Experimental study on long-term behavior of prestressed steel I-beam-concrete composite beams. Steel Compos. Struct. 2022, 42, 671–683. [Google Scholar]
- Dai, L.; Bian, H.; Wang, L.; Potier-Ferry, M.; Zhang, J. Prestress loss diagnostics in pretensioned concrete structures with corrosive cracking. J. Struct. Eng. 2020, 146, 04020013. [Google Scholar] [CrossRef]
- Chai, S.; Guo, T.; Chen, Z.; Yang, J. Monitoring and simulation of long-term performance of precast concrete segmental box girders with dry joints. J. Bridge Eng. 2019, 24, 04019043. [Google Scholar] [CrossRef]
- Han, W.; Lü, Y. Experimental research on prediction model of concrete shrinkage and creep. J. Cent. South Univ. (Sci. Technol.) 2016, 47, 3515–3522. [Google Scholar]
Number of Beam | Locally Uniformly Distributed Load | Dead Weight + Local Uniform Load + Prestress | ||
---|---|---|---|---|
Value of Load (kN/m) | Tensile Age (t0/d) | Upper-Edge Concrete Stress (MPa) | Lower-Edge Concrete Stress (MPa) | |
B1# | 5.31 | 7 | 2.64 | 4.84 |
B2# | 9.74 | 7 | 6.34 | −0.42 |
B3# | 5.31 | 28 | 2.64 | 4.84 |
B4# | 9.74 | 28 | 6.34 | −0.42 |
Model of Prediction | B1# | B2# | B3# | B4# | Mean Coefficient of Variation |
---|---|---|---|---|---|
JTG 3362-2018 | 15.69 | 17.27 | 17.93 | 20.15 | 17 |
AASHTO LRFD | 12.56 | 8.73 | 10.54 | 9.34 | 10 |
Time-varying law model | 9.10 | 4.88 | 4.12 | 4.98 | 6 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Han, W.; Tian, P.; Lv, Y.; Zou, C.; Liu, T. Long-Term Prestress Loss Calculation Considering the Interaction of Concrete Shrinkage, Concrete Creep, and Stress Relaxation. Materials 2023, 16, 2452. https://doi.org/10.3390/ma16062452
Han W, Tian P, Lv Y, Zou C, Liu T. Long-Term Prestress Loss Calculation Considering the Interaction of Concrete Shrinkage, Concrete Creep, and Stress Relaxation. Materials. 2023; 16(6):2452. https://doi.org/10.3390/ma16062452
Chicago/Turabian StyleHan, Weiwei, Panpan Tian, Yigang Lv, Chaosheng Zou, and Tao Liu. 2023. "Long-Term Prestress Loss Calculation Considering the Interaction of Concrete Shrinkage, Concrete Creep, and Stress Relaxation" Materials 16, no. 6: 2452. https://doi.org/10.3390/ma16062452
APA StyleHan, W., Tian, P., Lv, Y., Zou, C., & Liu, T. (2023). Long-Term Prestress Loss Calculation Considering the Interaction of Concrete Shrinkage, Concrete Creep, and Stress Relaxation. Materials, 16(6), 2452. https://doi.org/10.3390/ma16062452