• Analysis of shoreline changes by a numerical model and application to altmova, Turkey 

  İrtem, Emel; Kabdaşlı, Sedat; Gedik, Nuray (Coastal Education & Research Foundation, 2001)

  In this study, firstly, the shoreline changes for various wave heights, wave periods and angles have been investigated on straight and curved beaches. The "One Line Model" of Hanson and Kraus which determines the shoreline ...

• The combined use of wavelet transform and black box models in reservoir inflow modeling 

  Okkan, Umut; Serbeş, Zafer Ali (Veda, 2013)

  In the study presented, different hybrid model approaches are proposed for reservoir inflow modeling from the meteorological data (monthly precipitation, one-month-ahead precipitation and monthly mean temperature data) by ...

• Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks 

  Ceryan, Nurcihan; Okkan, Umut; Kesimal, Ayhan (Springer, 2013)

  The unconfined compressive strength (UCS) of intact rocks is an important geotechnical parameter for engineering applications. Determining UCS using standard laboratory tests is a difficult, expensive and time consuming ...

• Evaluating the mechanical behaviour of geotextile reinforced sand 

  Tuna, Şahin Çağlar; Karakan, Eyyüb; Altun, Selim (Turkish Chamber Civil Engineers, 2015)

  It is important to determine the mechanical properties of reinforced soils, since they are extensively used in practice. In this study, laboratory triaxial tests and direct shear tests were carried out in order to determine ...

• An effective multi-modal and adaptive pushover procedure for buildings 

  Türker, Kaan; İrtem, Emel (2007)

  An effective multi-modal and adaptive pushover (non-linear static) analysis (PA) procedure is presented for determination of earthquake response of building type structures affected from the higher modes. In the procedure, ...

• Regression control chart for determination of young's modulus: A case study 

  Özkul, Barış; Karaoğlan, Aslan Deniz (2011)

  The fundamental problem while obtaining initial modulus (Young's modulus) of concrete in experimental studies is to determine the region on stress-strain curve that will be used in calculations of initial tangent. In the ...

• Use of diatomite as partial replacement for Portland cement in cement mortars 

  Deǧirmenci, Nurhayat; Yılmaz, Arın (Elsevier Sci Ltd, 2009)

  The aim of the present study is to investigate the use of diatomite as a partial replacement for cement in the production of cement mortar. Diatomite was used at 0%, 5%, 10% and 15% replacement by weight for cement while ...

• Estimation of tsunami run-up height by three artificial neural network methods 

  Gedik, Nuray; İrtem, Emel; Ciǧizoǧlu, Hikmet Kerem; Kabdaşlı, M. Sedat (China Ocean Press, 2009)

  Tsunami run-up height is a significant parameter for dimensions of coastal structures. In the present study, tsunami run-up heights are estimated by three different Artificial Neural Network (ANN) models, i.e., Feed Forward ...

• Modeling of tensile strength of rocks materials based on support vector machines approaches 

  Ceryan, Nurcihan; Okkan, Umut; Samui, Pijush; Ceryan, Şener (Wiley, 2013)

  In the predicting of geological variables, artificial neural networks (ANNs) have some drawbacks including possibility of getting trapped in local minima, over training, subjectivity in the determining of model parameters ...

• Modeling of watershed runoff using discrete wavelet transform and support vector machines 

  Okkan, Umut; Samui, Pijush (Parlar Scientific Publications (P S P), 2012)

  In this study, hybrid models are proposed for watershed runoff forecasting by discrete wavelet transform (DWT) and support vector machines approaches. Standard support vector machines (SVM) and least squares version of ...

• Performance of least squares support vector machine for monthly reservoir inflow prediction 

  Okkan, Umut (Parlar Scientific Publications (P S P), 2012)

  Over the past decade, artificial intelligence techniques have been widely used in the hydrological modeling studies. As favorite artificial intelligence algorithms have disadvantages relating to the local minima problems ...

• Investigation of Lagoon lakes in Kocacay delta by using remote sensing method 

  İrtem, Emel; Saçın, Yener (Triveni Enterprises, 2012)

  Coasts are areas that are under the influence of the interaction of the air, water and land and attract attention with the abundance of their natural resources and therefore are subjected to excessive usage. This excessive ...

• Monthly runoff model for Kemer Dam with radial based artificial neural networks 

  Okkan, Umut; Dalkılıç, Hüseyin Yıldırım (Turkish Chamber Civil Engineers, 2012)

  It is very important to make reliable runoff estimations and runoff modeling studies when planning and designing water resources systems. In the study presented, a Radial Based Artificial Neural Network (RBANN) model is ...

• Determination of reinforcement ratios in reinforced concrete columns 

  Elçi, Hasan (Turkish Chamber Civil Engineers, 2012)

  Determination of Reinforcement Ratios in Reinforced Concrete Columns The structures, in which all frames and vertical structural elements (column and shear walls) are in two planes perpendicular to each other, are called ...

• A diagnostic model for assessing the knowledge management practices of construction firms 

  Karaman, Erkan Ali; Kale, Serdar (Korean Society of Civil Engineers-KSCE, 2012)

  Knowledge management is rapidly becoming a key organizational capability for creating competitive advantage in the construction industry. The emergence of knowledge management as a key organizational capability for creating ...

• Modeling the effects of climate change on İkizcetepeler Inflows: 2015-2030 projection 

  Okkan, Umut; Karakan, Eyyüb (Turkish Chamber Civil Engineers, 2016)

  In the study presented, the impacts of climate change on flows were examined by a modeling based approach. The study has been carried out using climate forecasts of ECHAM5 circulation model simulated in the AR4 of the IPCC ...

• Benchmarking the knowledge management practices of construction firms 

  Kale, Serdar; Karaman, Ali Erkan (Vilnius Gediminas Tech Univ, 2012)

  Knowledge management is rapidly becoming a key organizational capability for creating competitive advantage in the construction industry. The emergence of knowledge management in this capacity poses enormous challenges to ...

• Rainfall-runoff modeling using least squares support vector machines 

  Okkan, Umut; Serbeş, Zafer Ali (Wiley-Blackwell, 2012)

  Over the past decade, artificial neural networks (ANN) have been widely used in the runoff modeling studies. In spite of a number of advantages, ANN models have some drawbacks, including the possibility of getting trapped ...

• The behavior of a steel connection equipped with the lead extrusion damper 

  Soydan, Cihan; Yüksel, Ercan; İrtem, Emel (Multi-Science Publ Co Ltd, 2014)

  The seismic behavior of the steel connection equipped with the lead extrusion damper (LED) is examined through the experimental and analytical studies. The LED implemented has spherical type bulge and does not consist any ...

• Application of generalized regression neural networks in predicting the unconfined compressive strength of carbonate rocks 

  Ceryan, Nurcihan; Okkan, Umut; Kesimal, Ayhan (Springer Wien, 2012)

  Measuring unconfined compressive strength (UCS) using standard laboratory tests is a difficult, expensive, and time-consuming task, especially with highly fractured, highly porous, weak rock. This study aims to establish ...

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