Predicting fatigue slip and fatigue life of FRP rebar-concrete bonds using tree-based and theory-informed learning models
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OpenAlex topics: Structural Behavior of Reinforced Concrete · Concrete Corrosion and Durability · Innovative concrete reinforcement materials
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References (44)
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1. A comprehensive review on mechanical properties of pultruded FRP composites subjected to long-term environmental effects10.1016/j.compositesb.2020.107958 ↗
2. Fatigue behavior and failure mechanism of basalt FRP composites under long-term cyclic loads10.1016/j.ijfatigue.2016.03.004 ↗
3. Effects of exposure in seawater sea-sand concrete pore solution on fatigue performance of carbon FRP bars10.1016/j.compscitech.2023.110418 ↗
4. Modelling damage evolution of carbon fiber-reinforced epoxy polymer composites in seawater sea sand concrete environment10.1016/j.compscitech.2021.108961 ↗
5. Fatigue behavior of RC beams strengthened with FRP considering the influence of FRP-concrete interface10.1016/j.ijfatigue.2020.105977 ↗
6. Fatigue bond behaviour between basalt fibre-reinforced polymer bars and seawater sea-sand concrete10.1016/j.ocecoaman.2022.106038 ↗
7. Investigation on Fatigue Bond Behaviour Between GFRP Bars and Seawater Sea-sand Concrete
8. Effects of simulated seawater on static and fatigue performance of GFRP bar-concrete bond10.1016/j.jobe.2023.105985 ↗
9. Experimental study on fatigue bond behaviour between basalt fibre-reinforced polymer bars and recycled aggregate concrete10.1016/j.conbuildmat.2020.121399 ↗
10. Resistance of interfacial debonding failure of GFRP bars embedded in concrete reinforced with structural fibers under cycling loads10.1016/j.compositesb.2018.08.091 ↗
11. X. Liu, X. Wang, K.Y. Xie, Z.S. Wu, F. Li. Bond Behavior of Basalt Fiber-Reinforced Polymer Bars Embedded in Concrete Under Mono-tensile and Cyclic Loads. in 10th International Conference on Fibre-Reinforced Polymer (FRP) Composites in Civil Engineering (CICE). 2021. Istanbul, TURKEY.10.1007/978-3-030-88166-5_13 ↗
12. Effect of Small Concrete Cover on the Fatigue Behavior of GFRP Bars and Concrete Bond10.1061/(ASCE)CC.1943-5614.0000919 ↗
13. Static and Fatigue Bond Characteristics of FRP Rebars Embedded in Fiber-reinforced Concrete10.1177/0021998309355845 ↗
14. A damage model for high-cycle fatigue behavior of bond between FRP bar and concrete10.1016/j.ijfatigue.2018.02.012 ↗
15. Bond behavior of recycled tyre steel fiber reinforced concrete and basalt fiber-reinforced polymer bars under static and fatigue loading conditions10.1016/j.jobe.2023.106291 ↗
16. Modeling NSM FRP strengthened RC beams under fatigue due to IC-debonding10.1016/j.ijfatigue.2019.04.039 ↗
17. Concrete cover effect on the bond of GFRP bar and concrete under static loading10.1016/j.compositesb.2017.05.054 ↗
18. Bond behaviour of recycled aggregate concrete with basalt fibre-reinforced polymer bars10.1016/j.compstruct.2020.113078 ↗
19. K.Y. Xie. Optimization of Bond Characteristics between BFRP Bar and Concrete and evaluation of their long-term behavior, 2016.
20. Selected machine learning approaches for predicting the interfacial bond strength between FRPs and concrete10.1016/j.conbuildmat.2020.121456 ↗
21. Prediction of FRP-concrete interfacial bond strength based on machine learning10.1016/j.engstruct.2022.115156 ↗
22. BP-ANN based bond strength prediction for FRP reinforced concrete at high temperature10.1016/j.engstruct.2022.114026 ↗
23. Bond strength prediction of FRP bars to seawater sea sand concrete based on ensemble learning models10.1016/j.engstruct.2023.117382 ↗
24. Prediction of bond strength and failure mode of FRP bars embedded in UHPC or UHPSSC utilising extreme gradient boosting technique10.1016/j.compstruct.2024.118437 ↗
25. Natural language processing-based deep transfer learning model across diverse tabular datasets for bond strength prediction of composite bars in concrete10.1111/mice.13357 ↗
26. Bi-interfacial debonding of coated fiber reinforced composites under fatigue load10.1016/j.ijfatigue.2007.08.003 ↗
27. Bond decay at bar-concrete interface under variable fatigue loads10.1016/j.euromechsol.2005.11.011 ↗
28. Interfacial damage in fibre-reinforced composites subjected to tension fatigue loading10.1046/j.1460-2695.2002.00516.x ↗
29. Study on interfacial fatigue behavior of fiber-reinforced composites under tension-tension cyclic loading
30. Simulative investigation of fatigue crack growth at steel-concrete interface
31. Fatigue-life prediction of additively manufactured metals by continuous damage mechanics (CDM)-informed machine learning with sensitive features10.1016/j.ijfatigue.2022.107147 ↗
32. Physics-guided machine learning frameworks for fatigue life prediction of AM materials10.1016/j.ijfatigue.2023.107658 ↗
33. Machine learning for structural engineering: A state-of-the-art review10.1016/j.istruc.2022.02.003 ↗
34. Machine learning: Trends, perspectives, and prospects10.1126/science.aaa8415 ↗
35. Durability evaluation of GFRP rebars in harsh alkaline environment using optimized tree-based random forest model, Journal of Ocean
36. Random forests10.1023/A:1010933404324 ↗
37. A comparative analysis of gradient boosting algorithms
38. T.Q. Chen, C. Guestrin, M. Assoc Comp. XGBoost: A Scalable Tree Boosting System. in 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2016. San Francisco, CA.10.1145/2939672.2939785 ↗
39. S.M. Lundberg, S.I. Lee. A Unified Approach to Interpreting Model Predictions. in 31st Annual Conference on Neural Information Processing Systems (NIPS). 2017. Long Beach, CA.
40. Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost10.1016/j.compenvurbsys.2022.101845 ↗
41. Basalt Fibers Reinforced Concrete: Strength and Failure Modes10.3390/ma15207350 ↗
42. Interfacial debonding of coated-fiber-reinforced composites under tension-tension cyclic loading10.1007/BF02487687 ↗
43. Dataset of input parameters for shear-lag model of FRP rebars-reinforced concrete
44. Strengthening of concrete prisms using the plate-bonding technique10.1007/BF00013161 ↗