http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13727 2026-04-23T08:29:29Z http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13820 Multi-objective thermal design optimization of plate frame heat exchangers through global best algorithm Turgut, Oğuz Emrah This study deals with thermal design of plate frame heat exchangers based on Global Best Algorithm. By utilizing some basic perturbation schemes adopted from Differential Search and Differential Evolution, Global Best Algorithm aims to obtain optimum solution of any optimization problem with intensifying on exploitation of the promising solutions rather than exploring of the unvisited paths of the search domain. Firstly, optimization performance of the proposed algorithm has been benchmarked against variety of well-known optimization algorithms by means of 16 different highly challenging optimization test functions. Then, the proposed method is put into practice to acquire the optimal values of the design variables those optimize the considered problem objectives including overall heat transfer coefficient, total cost and weight of the plate frame heat exchangers separately as well as simultaneously. Considerable improvement in objective function values is observed as compared to preliminary design in single objective manner. Pareto frontier is constructed for dual and triple objective and best optimal solution among the curve is selected by means of the widely-known decision making methods of LINMAP, TOPSIS, and Shannon’s entropy theory. Optimal results obtained from each decision making theory are compared with respect to their corresponding deviation indexes and the best one is preferred. A sensitivity analysis is then performed to study the vibrational influences of some design parameters on the considered objective functions. It is observed that selected design variables has a significant effect on problem objectives. 2017-01-01T00:00:00Z http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13819 Modelling temperature measurement data by using copula functions METİN KARAKAŞ, Ayşe In this study, methods of copula estimation are used and the temperature measurement data of the four regions located at the same positions in the range of 01.01.2008 - 30.04.2009 was modeled with copula functions. For dependence structures of the data sets, it is calculated Kendall Tau and Spearman Rho values which are nonparametric. Based on this method, parameters of copula are obtained. A clear advantage of the copula-based model is that it allows for maximum-likelihood estimation using all available data. The main aim of the method is to find the parameters that make the likelihood functions get its maximum value. With the help of the maximum-likelihood estimation method, for copula families, it is obtained likelihood values. These values, Akaike information criteria (AIC) are used to determine which copula supplies the suitability for the data set. 2017-01-01T00:00:00Z http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13818 Identifying of structural elements of building using Ground penetrating radar (GPR): A case study of the Cumhuriyet University, Turkey TAŞTAN, Erkan; KOŞAROĞLU, Sinan; BİLİM, Funda Ground-penetrating radar (GPR) is one of the most recommended non-destructive methods in identifying of structural elements of building. The B building of the Cumhuriyet University, Engineering Faculty was assessed by using the 1600 MHz antennas. As a result of evaluate of GPR data, the locations, horizontal and vertical interval, radius and corrosion rate of reinforcements in curtain walls is determined. It is proposed that the main reason of the structural changes in the reinforcements may be caused by groundwater. 2017-01-01T00:00:00Z http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13817 Evaluation Of Theileria Parva Enolase As A Target For Designing New Generation Antiheilerial Drug ICEN-TAŞKIN, İrmak; MUNZUROĞLU, Ömer Enolase (2-phospho-D-glycerate hydrolase) enzyme has been characterized extensively and approved as a molecular drug target for rational drug discovery in apicomplexan such as Plasmodium spp., Toxoplasma gondii but not in the Theileria parva which causative agent of East Coast Fever engender serious economic losses. For the aim of identifying a key drug target, we have analyzed Theileria parva’s enolase sequence and we have constructed three-dimensional structure of that enolase and mammalian host Bos taurus enolase (BtEno). Constructed model was approved, structurally analyzed and conceivable ligand binding pockets were identified for the first time in the literature. In this study, we reported significant findings, a pentapeptide and three different dipeptide insertions in TpEno (D103W104G105Y106C107, T147D148, K261E262, K317L318), when compare the sequences of enolase gene with its counterpart host BtEno. The homology modeling revealed that these insertions constituted loops that absent in B. taurus enolase seem to be important lead structures which can be used as binding sites for inhibition of TpEno. 2017-01-01T00:00:00Z