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- MakaleYalnız künye2020DYNAMIC BEHAVIOUR OF HISTORICAL BAYBURT GRAND MOSQUE
Yurdakul, Muhammet; Yilmaz, Fatih; Artar, Musa
In this study, the locations of the damages that would occur when a historical building was exposed to different earthquakes were determined. The selected building is Bayburt Ulu Mosque located in the city center of Bayburt and it was built by the Anatolian Seljuk Sultan II. Gıyaseddin. This selected historical building is modelled according to the macro modelling technique in the SAP2000 program using the finite element method. Modules of elasticity, poisson's ratio and weight per unit of volume of Bayburt Stone which is used in the mosque are determined by the experiment. Also, the properties of the ground on which the building was built are determined. As earthquake records which recorded on similar grounds, components of DZC180 and DZC270 of 17 August 1999 Kocaeli earthquake, components BOL000 and BOL090 of 12 November 1999 Düzce earthquake and components of ERZE-EW and ERZE-NS of 13 March 1999 Erzincan earthquake are used. In the results of the dynamic analysis made, quantities and locations of the strains that can occur in the historic mosque are determined.
- MakaleYalnız künye2015DAMAGE DETECTION IN SIMULATED SPACE FRAMES USING GENETIC ALGORITHMS
Artar, Musa; Daloglu, Ayse T.
Genetic algorithms (GA) based finite element model updating are applied to predict damage location and severity in space frames. The changes in natural frequencies are used as dynamic indicators to describe damaged members. Objective functions including dynamic data provide minimization of dynamic differences between numerical model and simulated damaged model. The presence of damages in structural elements is identified by stiffness reduction as a reduction in modulus of elasticity. Reproduction, double-point crossover and mutation operators are used in GA optimization procedures. In this paper, different simulated examples having various damage scenarios are modelled in SAP2000 software to obtain the experimental dynamic data. In the last example, noise effect is taken into account in simulated damaged data. A program is developed in MATLAB software for numerical model updating based on all genetic algorithm procedures. Thus, the size and extent of simulated damages are determined by updated numerical model. Results obtained from examples show that GA optimization is a convenient method for damage identification.
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