Introducing a Computational Method to Retrofit Damaged Buildings under Seismic Mainshock-Aftershock Sequence
Abstract
Retrofitting damaged buildings is a challenge for engineers, since commercial software does not have the ability to consider the local damages and deformed shape of a building resulting from the mainshock record of an earthquake before applying the aftershock record. In this research, a computational method for retrofitting of damaged buildings under seismic mainshock-aftershock sequences is proposed, and proposed computational strategy is developed using Tcl programming code in OpenSees and MATLAB. Since the developed programming code has the ability of conducting nonlinear dynamic analysis (e.g. Incremental Dynamic Analysis (IDA)), different types of steel and reinforced concrete structures, assuming different intensity measures and engineering demands, can be on the benefit of this study. To present the ability of method, the 4-Story and 6-Story damaged steel structures were selected. Then, the linear Viscous Dampers (VDs) are used for retrofitting of the damaged structures, and IDAs were performed under aftershock records. The results showed that the proposed method and computational program could improve the seismic performance level of damaged structures subjected to the mainshockaftershock sequences. In addition, the damaged floor level of the building is recognized by programming code and can be effectively considered for local retrofit schemes.
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Full text
- Publication version
- Accepted or Published Version
- License
- Copyright (2023 The Author(s), under exclusive license to Springer Nature Switzerland AG)
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Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2023
- Bibliographic description:
- Kazemi F., Asgarkhani N., Manguri A., Lasowicz N., Jankowski R.: Introducing a Computational Method to Retrofit Damaged Buildings under Seismic Mainshock-Aftershock Sequence// / : , 2023,
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-031-36021-3_16
- Sources of funding:
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- Free publication
- Verified by:
- Gdańsk University of Technology
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