Nabid, N., Hajirasouliha, I. orcid.org/0000-0003-2597-8200 and Petkovski, M. (2020) Multi-criteria performance-based optimization of friction energy dissipation devices in RC frames. Earthquake and Structures, 2. pp. 185-199. ISSN 2092-7614
Abstract
A computationally-efficient method for multi-criteria optimisation is developed for performance-based seismic design of friction energy dissipation dampers in RC structures. The proposed method is based on the concept of Uniform Distribution of Deformation (UDD), where the slip-load distribution along the height of the structure is gradually modified to satisfy multiple performance targets while minimising the additional loads imposed on existing structural elements and foundation. The efficiency of the method is demonstrated through optimisation of 3, 5, 10, 15 and 20-storey RC frames with friction wall dampers subjected to design representative earthquakes using single and multi-criteria optimisation scenarios. The optimum design solutions are obtained in only a few steps, while they are shown to be independent of the selected initial slip loads and convergence factor. Optimum frames satisfy all predefined design targets and exhibit up to 48% lower imposed loads compared to designs using a previously proposed slip-load distribution. It is also shown that dampers designed with optimum slip load patterns based on a set of spectrum-compatible synthetic earthquakes, on average, provide acceptable design solutions under multiple natural seismic excitations representing the design spectrum.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2020 Techno Press. |
Keywords: | multi-criteria optimisation; seismic performance; friction damper; slip load distribution; energy dissipation |
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: | 24 Feb 2020 11:57 |
Last Modified: | 26 Feb 2020 12:44 |
Published Version: | http://www.techno-press.org/content/?page=article&... |
Status: | Published |
Publisher: | Techno-Press |
Refereed: | Yes |
Identification Number: | 10.12989/eas.2020.18.2.185 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157619 |