Experimental study on monotonic, cyclic mechanics and fatigue performance of pressed cone sleeve splices

Zhao, Ernian; Song, Chenning; Zhang, Xin; Zhou, Qiang; Yan, Kai

doi:10.1016/j.istruc.2022.03.050

Cited by 10 publications

(4 citation statements)

References 13 publications

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“…Mechanical splices are typically evaluated through “in-air” uniaxial tests on spliced assemblies. Extensive research has been conducted on different types of mechanical bar splices, using various loading protocols [ 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 ]. Although the “in-air” uniaxial tests do not accurately represent the behavior of mechanical splices embedded “in concrete” members [ 22 , 32 , 33 ], they are commonly adopted for testing and acceptance in construction practice.…”

Section: Introductionmentioning

confidence: 99%

“…Among the test data on mechanical bar splices [ 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 ], the majority focused on bar Grade 500 or smaller, with the exception of Lee et al [ 38 ], who investigated bar Grade 550 and 690. The evaluation of mechanical bar splices involved various loading protocols, including monotonic [ 34 , 40 , 43 , 45 ], code-specified cyclic [ 33 , 35 , 39 , 41 , 42 , 44 , 46 ], or researcher-defined protocols [ 36 , 37 , 38 ]. The most commonly used cyclic loading protocols for mechanical bar splices, categorized for basic, moderate, and violent seismic applications, are specified in ISO 15835 [ 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

“…Among the test data on mechanical bar splices [33][34][35][36][37][38][39][40][41][42][43][44][45][46], the majority focused on bar Grade 500 or smaller, with the exception of Lee et al [38], who investigated bar Grade 550 and 690. The evaluation of mechanical bar splices involved various loading protocols, including monotonic [34,40,43,45], code-specified cyclic [33,35,39,41,42,44,46], or researcherdefined protocols [36][37][38].…”

Section: Introductionmentioning

confidence: 99%

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Seismic Performance and Nonlinear Strain Analysis of Mechanical Splices for High-Strength Reinforcement in Concrete Structures

et al. 2023

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This study investigates the strain development in reinforcing bars within the plastic hinge regions of beams and columns, with the main objective of modifying the current acceptance criteria for mechanical bar splices to accommodate high-strength reinforcement. The investigation utilizes numerical analysis based on moment–curvature and deformation analysis of typical beam and column sections in a special moment frame. The results indicate that the use of higher grade reinforcement, such as Grade 550 or 690, results in lower strain demands in the plastic hinge regions compared to Grade 420 reinforcement. To validate the modified seismic loading protocol, over 100 samples of mechanical coupling systems were tested in Taiwan. The test results demonstrate that the majority of these systems can successfully complete the modified seismic loading protocol and are suitable for use in critical plastic hinge regions of special moment frames. However, caution is advised for slender mortar-grouted coupling sleeves, as they were unable to fulfill the seismic loading protocols. These sleeves may be conditionally used in plastic hinge regions of precast columns, provided they meet specific conditions and demonstrate seismic performance through structural testing. The findings of this study offer valuable insight into the design and application of mechanical splices in high-strength reinforcement scenarios.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Seismic Performance and Nonlinear Strain Analysis of Mechanical Splices for High-Strength Reinforcement in Concrete Structures

et al. 2023

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“…2022, 12, 4851 2 of 13 and structures [1]. Splice methods and their effect on RC structures' behavior has been extensively researched experimentally and numerically [2][3][4][5][6][7], considering their remarkable importance.…”

Section: Introductionmentioning

confidence: 99%

Applications of Decision Tree and Random Forest as Tree-Based Machine Learning Techniques for Analyzing the Ultimate Strain of Spliced and Non-Spliced Reinforcement Bars

et al. 2022

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The performance of both non-spliced and spliced steel bars significantly affects the overall performance of structural reinforced concrete elements. In this context, the mechanical properties of reinforcement bars (i.e., their ultimate strength and strain) should be determined in order to evaluate their reliability prior to the construction procedure. In this study, the application of Tree-Based machine learning techniques is implemented to analyze the ultimate strain of non-spliced and spliced steel reinforcements. In this regard, a database containing the results of 225 experimental tests was collected based on the research investigations available in peer-reviewed international publications. The database included the mechanical properties of both non-spliced and mechanically spliced bars. For better accuracy, the databases of other splicing methods such as lap and welded-spliced methods were excluded from this research. The database was categorized as two sub-databases: training (85%) and testing (15%) of the developed models. Various effective parameters such as splice technique, steel grade of the bar, diameter of the steel bar, coupler geometry—including length and outer diameter along with the testing temperatures—were defined as the input variables for analyzing the ultimate strain using tree-based approaches including Decision Trees and Random Forest. The predicted outcomes were compared to the actual values and the precision of the prediction models was assessed via performance metrics, along with a Taylor diagram. Based on the reported results, the reliability of the proposed ML-based methods was acceptable (with an R2 ≥ 85%) and they were time-saving and cost-effective compared to more complicated, time-consuming, and expensive experimental examinations. More importantly, the models proposed in this study can be further considered as a part of a comprehensive prediction model for estimating the stress-strain behavior of steel bars.

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The modified shear screw couplers, development, and an experimental investigation

Al-Tuhami,

Ali-Eldin

2024

Engineering Structures

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Experimental study on monotonic, cyclic mechanics and fatigue performance of pressed cone sleeve splices

Cited by 10 publications

References 13 publications

Seismic Performance and Nonlinear Strain Analysis of Mechanical Splices for High-Strength Reinforcement in Concrete Structures

Seismic Performance and Nonlinear Strain Analysis of Mechanical Splices for High-Strength Reinforcement in Concrete Structures

Applications of Decision Tree and Random Forest as Tree-Based Machine Learning Techniques for Analyzing the Ultimate Strain of Spliced and Non-Spliced Reinforcement Bars

The modified shear screw couplers, development, and an experimental investigation

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