Investigating pounding between structures during earthquakes

Kierownik projektu: Farzin Kazemi

Politechnika Gdańska

Wydział Inżynierii Lądowej i Środowiska

Gdańsk

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).‎

Publikacje

  1. Kazemi, F., & Jankowski, R‎, Enhancing seismic performance of rigid and semi-rigid ‎connections equipped with SMA bolts incorporating ‎nonlinear soil-structure interaction‎, Engineering Structures‎ ‎‎114896‎, (2023) 274‎
  2. Kazemi, F., Asgarkhani, N., & Jankowski, R‎, Probabilistic assessment of SMRFs with infill masonry ‎walls incorporating nonlinear soil-structure interaction‎, Bulletin of Earthquake Engineering‎ ‎‎-, (2023) 1-32‎
  3. Kazemi, F., Asgarkhani, N., Manguri, A., & Jankowski, R‎, Investigating an optimal computational strategy to retrofit ‎buildings with implementing viscous dampers‎, International Conference on Computational Science ‎ -, (2022) ‎184-191‎
  4. Asgarkhani, N., Kazemi, F., & Jankowski, R‎, Optimal retrofit strategy using viscous dampers between ‎adjacent RC and SMRFs prone to earthquake-induced ‎pounding‎, Archives of Civil and Mechanical Engineering‎ 23, (2023) 1-26
  5. Kazemi, F., & Jankowski, R‎, Seismic performance evaluation of steel buckling-restrained ‎braced frames including SMA materials‎, Journal of Constructional Steel Research‎ ‎107750‎, (2023) 201
  6. Kazemi, F., & Jankowski, R‎, Machine learning-based prediction of seismic limit-state ‎capacity of steel moment-resisting frames considering soil-‎structure interaction‎, Computers & Structures‎ ‎106886‎, (2023) 274
  7. Kazemi, F., Asgarkhani, N., & Jankowski, R‎, Predicting seismic response of SMRFs founded on different ‎soil types using machine learning techniques‎, Engineering Structures‎ ‎114953‎, (2023) 274
  8. Kazemi, F., Asgarkhani, N., & Jankowski, R‎, Machine learning-based seismic fragility and seismic ‎vulnerability assessment of reinforced concrete structures‎, Soil Dynamics and Earthquake Engineering‎ ‎107761‎, (2023) 166
  9. Mohebi B., Kazemi F., Asgarkhani N., Ghasemnezhadsani ‎P., & Mohebi A. ‎, Performance of Vector-valued Intensity Measures for ‎Estimating Residual Drift of Steel MRFs with Viscous ‎Dampers‎, International Journal of Structural and Civil Engineering ‎Research‎ 4, (2022) ‎79-83‎
  10. Dehestani, A., Kazemi, F., Abdi, R., & Nitka, M‎., Prediction of fracture toughness in fibre-reinforced concrete, ‎mortar, and rocks using various machine learning ‎techniques.‎, Engineering Fracture Mechanics‎ ‎108914‎, (2022) 276
  11. Manguri, A., Saeed, N., Kazemi, F., Szczepanski, M., & ‎Jankowski, R. ‎, Optimum number of actuators to minimize the cross-‎sectional area of prestressable cable and truss structures.‎, Structures ‎ 47, (2023) ‎2501-2514‎


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