Seismic vulnerability assessment using artificial neural networks

Güler, Altuğ
In this study, an alternative seismic vulnerability assessment model is developed. For this purpose, one of the most popular artificial intelligence techniques, Artificial Neural Network (ANN), is used. Many ANN models are generated using 4 different network training functions, 1 to 50 hidden neurons and combination of structural parameters like number of stories, normalized redundancy scores, overhang ratios, soft story indices, normalized total column areas, normalized total wall areas are used to achieve the best assessment performance. Duzce database is used throughout the thesis for training ANN. A neural network simulator is developed in Microsoft Excel using the weights and parameters obtained from the best model created at Duzce damage database studies. Afyon, Erzincan, and Ceyhan databases are simulated using the developed simulator. A recently created database named Zeytinburnu is used for the projection purposes. The building sesimic vulnerability assessment of Zeytinburnu area is conducted on 3043 buildings using the proposed procedure.


Fragility based assessment of lowrise and midrise reinforced concrete frame buildings in Turkey
Ay, Bekir Özer; Erberik, Murat Altuğ; Department of Civil Engineering (2006)
In this study, structural vulnerability of reinforced concrete frame structures by considering the countryspecific characteristics is investigated to manage the earthquake risk and to develop strategies for disaster mitigation. Lowrise and midrise reinforced concrete structures, which constitute approximately 75% of the total building stock in Turkey, are focused in this fragilitybased assessment. The seismic design of 3, 5, 7 and 9story reinforced concrete frame structures are carried out according to the ...
Experimental modal analysis of a steel grid frame
Kaya, Hüseyin; Türer, Ahmet; Department of Civil Engineering (2004)
In this study, experimental modal analysis was studied. Experimental modal analysis includes modal testing, modal parameter estimation and calibration. For this purpose a 4 span skewed steel frame was constructed in Structural Mechanics Laboratory of Civil Engineering Department of METU. The model was transported to Vibration and Acoustic Laboratory of Mechanical Engineering Department of METU. The tests were conducted by cooperation with Vibration and Acoustics Laboratory. Due to lack of experimental modal...
Evaluation of seismic response modification factors for steel frames by non-linear analysis
Bakır, Serhan; Yılmaz, Çetin; Department of Civil Engineering (2006)
In this study steel framing systems are investigated with regards to their lateral load carrying capacity and in this context seismic response modification factors of individual systems are analyzed. Numerous load resisting layouts, such as different bracing systems and un-braced moment resisting frames with various bay and story configurations are designed and evaluated in a parametric fashion. Three types of beam to column connection conditions are incorporated in evaluation process. Frames, designed acco...
Lateral load analysis of shear wall-frame structures
Akış, Tolga; Tokdemir, Turgut; Department of Engineering Sciences (2004)
The purpose of this study is to model and analyze the nonplanar shear wall assemblies of shear wall-frame structures. Two three dimensional models, for open and closed section shear wall assemblies, are developed. These models are based on conventional wide column analogy, in which a planar shear wall is replaced by an idealized frame structure consisting of a column and rigid beams located at floor levels. The rigid diaphragm floor assumption, which is widely used in the analysis of multistorey building st...
Influence of idealized pushover curves on seismic response
Kadaş, Koray; Yakut, Ahmet; Department of Civil Engineering (2006)
Contemporary approach performance based engineering generally relies on the approximate procedures that are based on the use of capacity curve derived from pushover analysis. The most important parameter in the displacement-based approach is the inelastic displacement demand computed under a given seismic effect and the most common procedures employed for this estimation; the Capacity Spectrum Method and the Displacement Coefficient Method are based on bi-linearization of the capacity curve. Although there ...
Citation Formats
A. Güler, “Seismic vulnerability assessment using artificial neural networks,” M.S. - Master of Science, Middle East Technical University, 2005.