Earthquake performance assessment of braced steel frames
2018
0 views
0 downloads
Advisor: Dr. Öğr. Üyesi Kıvanç Taşkın
Abstract (EN)
Steel structures are a member of structure group that are widely used by designers. They are designed in order to safely stand in case of different environmental occurences such as fire, wind, snow, and earthquake. Earthquakes are differ from other natural disasters since they have low probalitiy, but their effects are more intense. In this work, analytical study is conducted to evaluate seismic behaviour of special braced frames (SBFs) that have different gusset plate connections. Seven real ground motion records are selected and scaled to meet time history analysis' criteria. In addition, two-dimensional steel frame structure are designed and checked that conforming to recent international provisions. Five different single-bay & story frames are assessed under earthquake excitations through OpenSees software to assess gusset thickness effect on structure responses under earthquake excitation. The study presents effective way of determining gusset sizes in steel structures that resides especially in active seismic areas.
Author
Dr. Hakkı Deniz Gül
Institution
How to Cite
Hakkı Deniz Gül (Master Thesis). Earthquake performance assessment of braced steel frames, 2018, Eskişehir Teknik Üniversitesi.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Eskişehir Teknik Üniversitesi
- Effect of crystallographic orientation on ionic conductivity of Li(1+x)AlxTi(2-x)(PO4)3 solid electrolytes(2018)
- The investigation of mechanical and dynamic properties of two dimensional mxene crystals by first principles(2018)
- Aircraft sensor fault detection and system reconstruction based on artificial neural networks(2021)
- Fuzzy graphs(2022)
- Production of functionally graded SiC-TiB2-Al composites by spark plasma sintering technique and their characterization(2018)
- Analysis of child mortality with the help of geographic information systems(GIS)(2018)
