Investigating pounding between structures during earthquakes
Kierownik projektu: Farzin Kazemi
Wydział Inżynierii Lądowej i Środowiska
Data otwarcia: 2021-12-16
In the study, a comprehensive study on the effects of pounding between structures during earthquakes was performed. The novelty of the study was to perform Incremental Dynamic Analyses (IDAs) to compute the seismic collapse capacities of both pounding structures in one model and automatically removal of the collapsed structure during analyses, which can be used to reduce analytical efforts. Moreover, modification factors were proposed to approximately estimate the median collapse capacity of single structures to consider the effect of pounding, which cannot be considered before design process. In addition, the modification factors can be used for single structures that were retrofitted with linear and nonlinear Fluid Viscous Dampers (FVDs). To compute the seismic collapse capacities of two or three pounding structures, an algorithm to automated removal the collapsed structure during IDAs using Matlab and OpenSees softwares was developed. Using modification factors, it is possible to predict the seismic collapse capacity of a structure in pounding condition and when it retrofitted with linear or nonlinear FVDs, without involving in complicated modeling and analytical difficulties. Some papers regarding this modeling was published.
In the project of doctoral thesis, we have many models of pounding structures which should be performed analysis to have results. To do this, an algorithm to use Matlab and Opensees software simultaneously was developed. Each model should run with a system and it takes between 3 to 5 days to have results, depending to the kind of systems. Therefore, at least 8 systems which can help to perform analysis faster is needed. Software needed: Matlab 2014 or newer version, TCL editor, Notepad++ and Opensees 2.5.0 version, which are open access and can be install in any systems. The virtual machines (CI TASK cloud computing) can be 4 corei systems with selected information in site (4 VCPU 10 GB RAM 40 GB SSD).
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