Shear behavior of large stud shear connectors embedded in ultra-high-performance concrete

Hu, Yuqing; Yin, Hang; Ding, Xiaomeng; Li, Shuai; Wang, JQ

doi:10.1177/1369433220939208

Cited by 30 publications

(8 citation statements)

References 36 publications

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“…Data for the ultimate slip were collected from 194 pushout tests [1,15,16,20,22,23,25,28,69,78,[80][81][82][83][84]87,[90][91][92][93][97][98][99][105][106][107][108][109][110]. The target feature was the ultimate slip value (S u ) of the shear connection.…”

Section: Dataset For Slip Predictionmentioning

confidence: 99%

Augmented Data-Driven Machine Learning for Digital Twin of Stud Shear Connections

Roh,

Vu,

Jeon

et al. 2024

Buildings

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Existing design codes for predicting the strength of stud shear connections in composite structures are limited when adapting to constant changes in materials and configurations. Machine learning (ML) models for predicting shear connection are often constrained by the number of input variables, resembling conventional design equations. Moreover, these models tend to overlook considerations beyond those directly comprising the connection. In addition, the data used in ML are often biased and limited in quantity. This study proposes a model using AutoML to automate and optimize the process for predicting the ultimate strength and deformation capacity of shear connections. The proposed model leverages a comprehensive dataset derived from experimental studies and finite element analyses, offering an advanced data-driven solution to overcome the limitations of traditional empirical equations. A digital twin model for the static design of pushout specimens was defined to replace existing empirical design codes. The digital twin model incorporates predictions of the geometry model, ultimate strength, and slip as input parameters and provides criteria for evaluating the limit state through a bilinear load–slip curve. This study advances predictive methodologies in structural engineering by emphasizing the importance of ML in addressing the dynamic and multifaceted nature of shear connection behaviors.

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Section: Dataset For Slip Predictionmentioning

confidence: 99%

Augmented Data-Driven Machine Learning for Digital Twin of Stud Shear Connections

Roh,

Vu,

Jeon

et al. 2024

Buildings

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“…Unlike NSC stud connectors, studs embedded in high-strength concrete (HSC) are subject to higher local support strength, resulting in stud connectors failing with much more shearing than bending, so the former empirical formulae are no longer appropriate for the HSC situation. Kim et al [ 19 ], Cao et al [ 20 ], Kruszewski et al [ 21 ], and Hu et al [ 22 ] conducted an experimental study on headed studs in ultra-high performance concrete (UHPC). It was found that the high compressive strength and ultra-ductile properties of UHPC can provide adequate support and wrapping to the studs, causing the failure mode to pure shearing and UHPC to remain intact, significantly different from the connectors in NSC.…”

Section: Introductionmentioning

confidence: 99%

A Trilinear Model for the Load–Slip Behavior of Headed Stud Shear Connectors

Meng

Wang

2023

Materials

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Headed stud shear connectors are most broadly applied in various composite structures. There exist plenty of empirical formulae for load–slip curves. However, most of them are fitting formulae in particular forms. Due to the lack of physical model support, fitting empirical formulae apply only to cases with similar parameters to the tests. Therefore, this paper analyzes the load–slip curves of existing headed stud connectors, proposes three stages of slip deformation in the shear connectors and the corresponding trilinear model, and presents the analytical formulae for the stiffness and strength of headed stud shear connectors. Firstly, we model the headed studs and surrounding concrete as beams on the foundation model, derive the equivalent shear stiffness equations for headed studs, and establish the load–slip behaviors for the first two stages. Then, the connectors’ shear stiffness and shear strength in the third stage are derived based on the head stud’s plastic deformation characteristics and failure mode. Finally, the numerical results are presented and verified with the existing test results, showing that the trilinear model is conceptually straightforward, easy to apply, and has sufficient accuracy.

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“…Shear stud connectors are widely used as shear connectors in steel-concrete composite bridges due to the advantage of direction independence, better ductility, and installation convenience (Li et al, 2021(Li et al, , 2022Lin et al, 2021;Hu et al, 2020). In order to resist relative sliding and restrict separation between steel beam and concrete plate, shear stud connectors are designed to support combined shear and tension loading, and in some fields of application, the tension force are non-negligible, for instance, anchorage system of cable-stayed composite bridge, negative moment section of simple supporting composite beams and steel-concrete joint section of hybrid girder bridges.…”

Section: Introductionmentioning

confidence: 99%

Experimental and numerical studies on shear stud connectors under combined shear and tension force

An,

Wang

2023

Advances in Structural Engineering

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Shear stud connections have been widely used in steel–concrete composite bridges, while research on shear studs under combined shear and tension force is still lacking. In this research, 18 specimens, including sixteen push–out specimens under different tension force ratios and two pull–out specimens were tested to study the failure modes, load–slip curves and shear capacity of shear stud connectors under combined shear and tension force. The experimental results show that both the shear capacity and shear stiffness decrease remarkably as the tension force ratio rises. The maximum reduction in shear capacity and in shear stiffness are 37.0% and 68.9%, respectively, when tension force ratio rises from 0 to 0.6. Shear slip and necking are both demonstrated in the failure mode of shear stud connectors when shear and tension forces are coupled. Numerical models were established using ABAQUS and verified by the experimental data to investigate the influence of concrete strength, reinforcement ratio and stud diameter thoroughly via parametric analysis. The results indicate that the shear capacity of shear stud connectors increases as concrete strength and stud diameter rise. Higher concrete strength and closer reinforcement spacing offer better collaborative deformation ability between the studs and the surrounding concrete, and also develop the ratio of the shear capacity under combined shear and tension force to the shear capacity under uniaxial shear force ( Vu/ Vuu). Equations to give prediction of the shear capacity integrated with concrete strength enhancement factor and to describe the load–slip curves of shear stud connectors under combined shear and tension force were proposed and proved to be more accurate.

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Shear behavior of large stud shear connectors embedded in ultra-high-performance concrete

Cited by 30 publications

References 36 publications

Augmented Data-Driven Machine Learning for Digital Twin of Stud Shear Connections

Augmented Data-Driven Machine Learning for Digital Twin of Stud Shear Connections

A Trilinear Model for the Load–Slip Behavior of Headed Stud Shear Connectors

Experimental and numerical studies on shear stud connectors under combined shear and tension force

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