| Pub. Date | : Jan, 2020 |
|---|---|
| Product Name | : The IUP Journal of Structural Engineering |
| Product Type | : Article |
| Product Code | : IJSE40120 |
| Author Name | : Miguel Abambres, Jun He |
| Availability | : YES |
| Subject/Domain | : Science and Technology |
| Download Format | : PDF Format |
| No. of Pages | : 25 |
Headed studs are commonly used as shear connectors to transfer longitudinal shear force at the interface between steel and concrete in composite structures (e.g., bridge decks). Code-based equations for predicting the shear capacity of headed studs are summarized. The paper proposes an Artificial Neural Network (ANN)-based analytical model to estimate the shear capacity of headed steel studs. 234 push-out test results from the previous published research were collected into a database in order to feed the simulated ANNs. Three parameters were identified as input variables for the prediction of the headed stud shear force at failure, namely, the steel stud tensile strength, diameter and the concrete (cylinder) compressive strength. The proposed ANN-based analytical model yielded maximum and mean relative errors of 3.3% and 0.6%, respectively, for all the collected data. Moreover, it is illustrated that the neural network approach clearly outperformed the existing code-based equations, which yielded mean errors greater than 13%.
Steel-concrete composite structures make an effective utilization of concrete in the compression zone and steel in the tension counterpart, offering several advantages. The primary one is the high strength-to-weight ratio as compared to conventional Reinforced Concrete (RC) structures. They also offer greater flexural stiffness, speedier and more flexible construction, ease of retrofitting and repair and higher durability (Shanmugam and Lakshmi, 2001; He et al., 2010; and Lin et al., 2014a and 2014b). In steel-concrete composite structures, shear connectors (angles, channel sections, headed studs and perforated ribs) are essential in all composite members in order to guarantee the effectiveness of their behavior in terms of strength and deformability. Those connectors, located in the steel-concrete interface, must be able to effectively transfer the stresses occurring between both materials (Lam and El-Lobody, 2005; Colajanni et al., 2014; and He et al., 2014).
Shear connectors, Headed studs, Push-out test, Shear capacity, Artificial Neural Networks (ANNs), Analytical model, Steel-concrete structures