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An investigation of anchorage to the edge of steel plates bonded to RC structures
M. Sonmez,M.E. Kara,F.K. Firat,T. Karabork 국제구조공학회 2016 Steel and Composite Structures, An International J Vol.22 No.1
This paper presents the results of an experimental study investigating the effects of anchorage systems used in externally bonded steel plates on the strength and ductility of reinforced concrete structures. In the literature, diagonal steel plates bonded to frames were designed to be more flexible than the connections to eliminate the possible effect of the connection flexibility. However, to better evaluate the performance of the strengthened structures, the strength and behavior of connections should also be considered. The purpose of this study was to experimentally investigate the effects of different connection types of steel plates bonded to the frame using anchors on the strengthened RC structures. For this purpose, eleven specimens were designed to simulate the interior and exterior connection behavior. Two of these were used as the control beams and remaining nine for the investigation of the functionality of the end steel plates. Experimental results show that the load carrying capacity of the strengthened beams is directly related to the connection types of the steel plates. For the interior connections, L-shaped end plates that were strengthened using steel anchors must have adequate stiffness to prevent its shape. While, for the exterior connections, the connection with three anchors carried more load than the other exterior connections.
M. Mufit Kahraman,M. Ozgur Ozygit,Ahmet Akkoc,Bulent Ediz,Deniz Misirlioglu,Gursel Sonmez,Aylin Alasonyalilar,Rahsan Yilmaz 대한수의학회 2007 JOURNAL OF VETERINARY SCIENCE Vol.8 No.2
Bovine spongiform encephalopathy (BSE), a member of the transmissible spongiform encepahlopathies, has been a notifiable disease in Turkey since 1997. In 2002, the BSE status of Turkey was assessed by the EU Scientific Steering Committee as “it is likely but not confirmed”.This study presents the results of a targeted surveillance study to assess the presence of BSE in the age risk population of Bursa, Turkey. In the assessment procedure, the immunohistochemical detection of protease-resistant prion protein (PrP-Sc) was aimed at and applied to 420 brain tissues of cattle slaughtered in Bursa at an age of 30-months and older. None of the samples were positive for BSE.
Sonmez, Mustafa,Aydin Komur, M. Techno-Press 2010 Structural Engineering and Mechanics, An Int'l Jou Vol.34 No.2
Elastic buckling load of perforated steel plates is typically predicted using the finite element or conjugate load/displacement methods. In this paper an artificial neural network (ANN)-based formula is presented for the prediction of the elastic buckling load of rectangular plates having a circular cutout. By using this formula, the elastic buckling load of perforated plates can be calculated easily without setting up an ANN platform. In this study, the center of a circular cutout was chosen at different locations along the longitudinal x-axis of plates subjected to linearly varying loading. The results of the finite element method (FEM) produced by the commercial software package ANSYS are used to train and test the network. The accuracy of the proposed formula based on the trained ANN model is evaluated by comparing with the results of different researchers. The results show that the presented ANN-based formula is practical in predicting the elastic buckling load of perforated plates without the need of an ANN platform.
M. Aydin Komur,Mustafa Sonmez 국제구조공학회 2010 Structural Engineering and Mechanics, An Int'l Jou Vol.34 No.2
Elastic buckling load of perforated steel plates is typically predicted using the finite element or conjugate load/displacement methods. In this paper an artificial neural network (ANN)-based formula is presented for the prediction of the elastic buckling load of rectangular plates having a circular cutout. By using this formula, the elastic buckling load of perforated plates can be calculated easily without setting up an ANN platform. In this study, the center of a circular cutout was chosen at different locations along the longitudinal x-axis of plates subjected to linearly varying loading. The results of the finite element method (FEM) produced by the commercial software package ANSYS are used to train and test the network. The accuracy of the proposed formula based on the trained ANN model is evaluated by comparing with the results of different researchers. The results show that the presented ANN-based formula is practical in predicting the elastic buckling load of perforated plates without the need of an ANN platform.
Optimal placement of elastic steel diagonal braces using artificial bee colony algorithm
E. Aydin,M. Sonmez,T. Karabork 국제구조공학회 2015 Steel and Composite Structures, An International J Vol.19 No.2
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.
Durnali, Ayse,Tokluoglu, Saadet,Ozdemir, Nuriye,Inanc, Mevlude,Alkis, Necati,Zengin, Nurullah,Sonmez, Ozlem Uysal,Kucukoner, Mehmet,Anatolian Society of Medical Oncology (ASMO), Anatolian Society of M Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.5
Introduction: Uterine sarcomas are a group of heterogenous and rare malignancies of the female genital tract and there is a lack of consensus on prognostic factors and optimal treatment. Objective and Methodology: To perform a retrospective evaluation of clinicopathological characteristics, prognostic factors and treatment outcomes of 93 patients with uterine sarcomas who were diagnosed and treated at 4 different centers from November 2000 to October 2010. Results: Of the 93 patients, 58.0% had leiomyosarcomas, 26.9% malignant mixed Mullerian tumors, 9.7% endometrial stromal sarcomas, and 5.4% other histological types. According to the last International Federation of Gynecology and Obstetrics (FIGO) staging, 43.0% were stage I, 20.4% were stage II, 22.6% were stage III and 14.0 % were stage IV. Median relapse free survival (RFS) was 20 months (95% confidence interval (CI), 12.4-27.6 months), RFS after 1, 2, 5 years were 66.6%, 44.1%, 16.5% respectively. Median overall survival (OS) was 56 months (95% CI, 22.5-89.5 months), and OS after 1, 2, 5 years was 84.7%, 78%, 49.4% respectively. Multivariate analysis showed that age ${\geq}60$ years and high grade tumor were significantly associated with poor OS and RFS; patients administered adjuvant treatment with sequential chemotherapy and radiotherapy had longer RFS time. Among patients with leiomyosarcoma, in addition to age and grade, adjuvant treatment with sequential chemotherapy and radiotherapy after surgery had significant effects on OS. Conclusion: Uterine sarcomas have poor progrosis even at early stages. Prognostic factors affecting OS were found to be age and grade.