Liu, Y., Huang, S. orcid.org/0000-0003-2816-7104 and Burgess, I. orcid.org/0000-0001-9348-2915 (2019) Ductile connections to improve structural robustness in fire. In: Tan, K.H. and Zhao, O., (eds.) Proceedings of the Application of Structural Fire Engineeering (ASFE 2019). 6th Applications of Structural Fire Engineering (ASFE'19), 13-14 Jun 2019, Nanyang Technological University, Singapore. ASFE Organising committee
Abstract
The ductility of connections is a key property in preventing the brittle failure and subsequent progressive collapse of steel-framed structures in fire conditions. Conventional connection types have insufficient ductility to accommodate the deformations generated by the connected beams as their temperatures rise, or to withstand the forces to which they are subjected. This paper aims to investigate the mechanical performance of a new type of connection proposed to meet the ductility demand created by long-span steel beams in fire conditions. This novel connection consists of two identical parts, each of which includes a fin-plate, an endplate and a semi-cylindrical section. Analytical component models have been developed and validated, based on which a component-based model is proposed. A simple Abaqus frame model with these novel connections has been created to assess the structural performance of the novel connection under realistic conditions.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Editors: |
|
Copyright, Publisher and Additional Information: | © 2019 The Authors. |
Keywords: | Ductile Connection; Component-Based Model; Robustness; Fire |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Aug 2019 09:58 |
Last Modified: | 27 Mar 2024 14:52 |
Status: | Published |
Publisher: | ASFE Organising committee |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149549 |
Download
Filename: ASFE_YL2019.pdf
