Parametric behaviour beam-to-column composite connection using CFS section
Journal: International Journal of Advanced Technology and Engineering Exploration (IJATEE) (Vol.9, No. 93)Publication Date: 2022-08-30
Authors : R.M. Fadel Satria Albimanzura Anis Saggaff Mahmood MD Tahir; Kiagus Muhammad Aminuddin;
Page : 1196-1208
Keywords : Cold-formed steel; Composite connection; Lghtweight concrete; Haunched gusset plate; Parametric study.;
Abstract
Recently, cold-formed steel (CFS) has become a popular material for low- and medium-rise building structural elements. Where the CFS section assembles the beam and column parts. The merits of CFS might make the construction lighter and more effective to field modifications. In regions prone to earthquakes, the structure's mass is crucial. The combination of CFS and lightweight concrete is proposed to reduce the structure's weight and reduce the seismic activity of the building. This paper investigates the parametric behavior of beam-to-column composite connection using the CFS section, where the slab component is a lightweight concrete material. The CFS was constructed using a double-lipped channel (DLC) section that was arranged in a back-to-back arrangement. In contrast, the beam is made of DLC250 and the column is built of DLC300. In this research, a 5 mm gusset plate with a haunched gusset plate structure was presented. The isolated joint test of lightweight concrete (IJLW) with parametric method is carried out based on the Eurocode Standard to calculate the connection moment resistance, connection stiffness, and connection classification. According to the results of the parametric calculation, the connection's moment resistance was 67.28 kNm, and its stiffness was 1464.39 kNm/rad. The failure mode shows that the connection fails at beam bolt hole in bearing. The results show that the connection is classified as semi-rigid, partial strength, and ductile behavior.
Other Latest Articles
- Formation of Social and Legal Competencies of Future Social Workers in the Process of Preparation to Work with Young Families
- Just-in-time application on readymix concrete production
- Adaptive neuro-fuzzy approach for maximum power point tracking with high gain converter for photo voltaic applications
- A self adaptive cognitive deep learning framework for classifying graphology features to Big five personality traits
- Forecasting non-linear macroeconomic indexes of India: an ensemble of MLP and Holt’s linear methods
Last modified: 2022-10-04 17:25:16