Dissanayake Mudiyanselage, Madhushan, Zhou, C., Poologanathan, Keerthan, Gunalan, S., Tsavdaridis, K.D. and Guss, J. (2021) Numerical simulation and design of stainless steel hollow flange beams under shear. Journal of Constructional Steel Research, 176. p. 106414. ISSN 0143-974X
Full text not available from this repository. (Request a copy)Abstract
Stainless steel offers a range of benefits over conventional carbon steel in structural applications. This paper presents the detailed numerical modelling of shear response of cold-formed stainless steel hollow flange sections using finite element software package, Abaqus. The effect of geometric parameters such as section height and section thickness, and the influence of different steel grades were investigated following the validation of finite element models. From numerical results, the formation of diagonal tension fields can be clearly observed in the webs of rectangular hollow flange sections while more even distribution of the stresses in the webs is seen in triangular hollow flange sections. Further, a plastic hinge type mechanism is formed in triangular flanges at the post-failure region. The evaluation of Eurocode 3 and the direct strength method shear design provisions for stainless steel hollow flange beams is found to be significantly conservative. Therefore, modified provisions were proposed and the comparison of those with finite element results confirmed the accurate and consistent shear resistance predictions over the codified provisions.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Cold-formed stainless steel, Hollow flange sections, Finite element modelling, Shear, Eurocode 3Direct strength method |
Subjects: | H200 Civil Engineering H300 Mechanical Engineering |
Department: | Faculties > Engineering and Environment > Mechanical and Construction Engineering |
Depositing User: | Elena Carlaw |
Date Deposited: | 15 Jan 2021 12:12 |
Last Modified: | 15 Jan 2021 12:12 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/45235 |
Downloads
Downloads per month over past year