Yazar "Akilli, Huseyin" seçeneğine göre listele

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    ANN approaches for the prediction of bridge backwater using both field and experimental data
    (Taylor & Francis Ltd, 2011) Pinar, Engin; Seckin, Galip; Sahin, Besir; Akilli, Huseyin; Cobaner, Murat; Canpolat, Cetin; Atabay, Serter
    This paper presents the findings of laboratory model testing of arched bridge constrictions in a rectangular open-channel flume whose bed slope was fixed at zero. Four different types of arched bridge models, namely single-opening semi-circular arch, multiple-opening semi-circular arch, single-opening elliptic arch, and multiple-opening elliptic arch, were used in the testing program. The normal crossing (phi = 0) and five different skew angles (phi = 10 degrees, 20 degrees, 30 degrees, 40 degrees, and 50 degrees) were tested for each type of arched bridge model. Recently, a major coverage of backwater field data obtained from the medieval arched bridge constrictions was published by the Hydraulic Research Wallingford in the UK (Brown, P. M., 1985. Hydraulics of bridge waterways: Interium report. Wallingford, UK: Hydraulic Research Wallingford, Report SR 60; Brown, P. M., 1987. Afflux at arch bridges: second interium report. Wallingford, UK: Hydraulic Research Wallingford, Report SR 115; Brown, P. M., 1988. Afflux at arch bridges. Wallingford, UK: Hydraulic Research Wallingford, Report SR 182). These data were also used in the analysis. The main aim of this study is to develop a suitable model for estimating backwater through arched bridge constrictions with normal and skewed crossings using both experimental and field data. Therefore, different artificial intelligence approaches, namely multi-layer perceptron (MLP), radial basis neural network (RBNN), generalized regression neural network (GRNN), and multi-linear and multi-nonlinear regression models, MLR and MNLR, respectively were used. The comparison between these developed models and one of the most commonly used traditional methods (Biery, P.F. and Delleur, J.W., 1962. Hydraulics of single span arch bridge constrictions. ASCE Journal of the Hydraulics Division, 88, 75-108) has been made. The test results showed that the MLP model gave highly accurate results than those of Biery and Delleur, MLR, MNLR, and GRNN and gave similar results with the RBNN model when applied to both field and experimental data.
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    Artificial neural network approaches for prediction of backwater through arched bridge constrictions
    (Elsevier Sci Ltd, 2010) Pinar, Engin; Paydas, Kamil; Seckin, Galip; Akilli, Huseyin; Sahin, Besir; Cobaner, Murat; Kocaman, Selahattin
    This paper presents the findings of laboratory model testing of arched bridge constrictions in a rectangular open channel flume whose bed slope was fixed at zero. Four different types of arched bridge models, namely single opening semi-circular arch (SOSC), multiple opening semi-circular arch (MOSC), single opening elliptic arch (SOE), and multiple opening elliptic arch (MOE), were used in the testing program. The normal crossing (phi = 0), and five different skew angles (phi = 10 degrees, 20 degrees, 30 degrees, 40 degrees, and 50 degrees) were tested for each type of arched bridge model. The main aim of this study is to develop a suitable model for estimating backwater through arched bridge constrictions with normal and skewed crossings. Therefore, different artificial neural network approaches, namely multi-layer perceptron (MLP), radial basis neural network (RBNN), generalized regression neural network (GRNN), and multi-linear and multi-nonlinear regression models, MLR and MNLR, respectively were used. Results of these experimental studies were compared with those obtained by the MLP, RBNN, GRNN, MILK and MNLR approaches. The MLP produced more accurate predictions than those of the others. Crown Copyright (C) 2009 Published by Elsevier Ltd. All rights reserved.
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    Horseshoe vortex system in the vicinity of the vertical cylinder mounted on a flat plate
    (Elsevier Sci Ltd, 2007) Sahin, Besir; Ozturk, N. Adil; Akilli, Huseyin
    The present investigation concentrates on the flow structure around the base of the vertical cylinder mounted on a flat plate for the Reynolds number of Re = 4000. The technique of high-image density particle image velocimetry (PIV) is employed in order to obtain instantaneous representations of the unsteady flow for a specified flow field. The time history of velocity and time-averaging of PIV data, particularly near the juncture, reveal valuable information about the behaviour of the horseshoe vortex system. In the forward face of the cylinder base, three different stagnation points occur, indicating the development of three different horseshoe vortices. These vortices occasionally roll up to combine a single primary vortex. Four different measuring planes were taken across the boundary layer in order to observe the effect of these three-dimensional junction flows arising from the base of the cylinder on the flow structures downstream of the cylinder. (C) 2007 Elsevier Ltd. All rights reserved.