Nabid, N., Hajirasouliha, I. orcid.org/0000-0003-2597-8200 and Petkovski, M. (2019) Simplified method for optimal design of friction damper slip loads by considering near-field and far-field ground motions. Journal of Earthquake Engineering, 25 (9). pp. 1851-1875. ISSN 1363-2469
Abstract
A simplified method is proposed for optimum design of friction dampers by considering the characteristics of design earthquakes. Optimum slip loads for 3, 5, 10, 15 and 20-storey RC frames with friction wall-dampers are obtained for a set of 20 near- and far-field earthquakes as well as artificial spectrum-compatible records scaled to different acceleration levels. Optimum solutions are shown to be more sensitive to Peak Ground Velocity (PGV) than Peak Ground Acceleration (PGA), especially for near-field earthquakes with high-velocity pulses. For identical PGA levels, far-field earthquakes on average result in 1.5 times lower optimum slip loads compared to near-field records, while they lead to 118% higher energy dissipation and 24% lower maximum inter-storey drifts. Empirical equations are proposed to predict optimum slip loads (as a function of number of storeys and PGA/PGV of design earthquakes) and their efficiency is demonstrated through selected examples.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Taylor & Francis, LLC. This is an author-produced version of a paper subsequently published in Journal of Earthquake Engineering. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Near- and far-field earthquakes; optimum design; friction damper; slip load distribution; energy dissipation |
Dates: |
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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: | 29 Apr 2019 08:56 |
Last Modified: | 23 Nov 2021 14:56 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/13632469.2019.1605316 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145126 |