Investigating pounding between structures during earthquakes

Kierownik projektu: Farzin Kazemi

Politechnika Gdańska

Wydział Inżynierii Lądowej i Środowiska


Data otwarcia: 2021-12-16

Streszczenie projektu

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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