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Öğe Detection of heavy metal concentrations in soil caused by Nigde city garbage dump(HARD, 2007) Tumuklu, A.; Yalcin, M. G.; Sonmez, M.The aim of this study was to detect heavy metal concentrations in the creek which passes through Nigde city garbage dump. In this respect, the soil samples collected in the study area by GPS were analyzed using X-Ray Fluorescence Spectrometer. Traces of heavy metals were observed by using statistical programs on analysis results. Geological observations were taken into consideration. According to the heavy metal concentrations in the Creek, the maximum values were as follows; (mg/ kg) Ti: 4960, V: 520, Cr: 120, Mn: 8 10, Ni: 460, Cu: 4 10, Zn: 100 and Pb: 480. The concentration levels of heavy metals in soil caused by garbage dump are listed in the following order; Pb > Cu > V > Ti > Cr > Ni > Zn. High positive correlation were observed between Ti-Mn, V-Ni and Cr-Ni. Medium positive correlations were observed between V-Cr, V-Cu and Ni-Zn. It has been found by chemical analysis data collected from stations established throughout the creek that there is an effect of morphological structure and no geological anomaly has been formed. According to chemical analysis results, statistical programs give important accuracy. Heavy metals, which give anomaly, differ throughout the creek. The source of these heavy metals was determined as Nigde city garbage dump. For this reason, it was suggested that, in order to refine the study area, a modem, organized storage system must be used instead of wild storage system in storing the urban wastes, and recyclable products must be used in the industry.Öğe Optimal placement of elastic steel diagonal braces using artificial bee colony algorithm(TECHNO-PRESS, 2015) Aydin, E.; Sonmez, M.; Karabork, T.This paper presents a new algorithm to find the optimal distribution of steel diagonal braces (SDB) using artificial bee colony optimization technique. The four different objective functions are employed based on the transfer function amplitude of; the top displacement, the top absolute acceleration, the base shear and the base moment. The stiffness parameter of SDB at each floor level is taken into account as design variables and the sum of the stiffness parameter of the SDB is accepted as an active constraint. An optimization algorithm based on the Artificial Bee Colony (ABC) algorithm is proposed to minimize the objective functions. The proposed ABC algorithm is applied to determine the optimal SDB distribution for planar buildings in order to rehabilitate existing planar steel buildings or to design new steel buildings. Three planar building models are chosen as numerical examples to demonstrate the validity of the proposed method. The optimal SDB designs are compared with a uniform SDB design that uniformly distributes the total stiffness across the structure. The results of the analysis clearly show that each optimal SDB placement, which is determined based on different performance objectives, performs well for its own design aim.Öğe The 2001 Adana landslide and its destructive effects, Turkey(SPRINGER, 2008) Sivrikaya, O.; Kilic, A. M.; Yalcin, M. G.; Aykamis, A. S.; Sonmez, M.The current study deals with a catastrophic landslide that occurred due to heavy rainfall in Adana, Southern Turkey in 2001. The research area, which is one of the largest populated districts in Adana, and one of the most tropical places between the Middle East and southern Europe, has about 25,000 people. On the basis of geological and geotechnical surveys, the landslide phenomena and the effects of landslide are examined. To understand the slide mechanism of the landslide, ground reconnaissance, laboratory and in situ tests are conducted. It is observed that the clayey and silty layers of the site are heavily saturated due to extreme rainfall in winter, and consequently sheared. The landslide consists of a block sliding in the upper portions and a debris flow/soil flow component around the margins of the sliding blocks in the middle parts and at the toe. Although there was no loss of human life, it has caused significant economic losses. Besides, it is determined that if precautions are not taken around the landslide area, larger landslides could definitely occur in the future.Öğe Using an artificial bee colony algorithm for the optimal placement of viscous dampers in planar building frames(SPRINGER, 2013) Sonmez, M.; Aydin, E.; Karabork, T.In this study, an Artificial Bee Colony Algorithm (ABCA) is used to obtain the optimal size and location of viscous dampers in planar buildings to reduce the damage to the frame systems during an earthquake. The transfer function amplitude of the top displacement and the elastic base shear force evaluated at the first natural circular frequency of structures are chosen as objective functions. The damper coefficients of the added viscous dampers are taken into consideration as design variables in a planar building frame. Transfer function amplitude of the top displacement and the amplitude of the elastic base shear force at the fundamental natural frequency are minimized under an active constraint on sum of the damper coefficients of the added dampers. According to two specified objective functions, an optimization algorithm based on the ABCA is proposed. The proposed method is verified by a gradient-based algorithm; steepest direction search algorithm (SDSA). The proposed ABCA and the SDSA are applied to find the optimal damper distribution for a nine-storey planar building then the optimal damper allocation obtained from the ABCA is investigated to rehabilitate models of irregular planar buildings. The validity of the proposed method was demonstrated through a time history analysis of the optimal damper designs, which were determined based on the frequency domain using the ABCA. The numerical results of the proposed optimal damper design method show that the use of the ABCA can be a practical and powerful tool to determine the optimal damper allocation in planar building structures.
