Browsing Mühendislik Fakültesi by Author "Çağlar, Naci"

Now showing items 21-30 of 36

Neural network based approach for determining the shear strength of circular reinforced concrete columns

Çağlar, Naci (ELSEVIER SCI LTD, 2009)

The objective of this study is to investigate the adequacy of neural networks (NN) as a quicker, more secure and more robust method to determine the shear strength of circular reinforced concrete columns. In the application ...
Neural network based model for seismic assessment of existing RC buildings

Çağlar, Naci (TECHNO-PRESS, 2013)

The objective of this study is to reveal the sufficiency of neural networks (NN) as a securer, quicker, more robust and reliable method to be used in seismic assessment of existing reinforced concrete buildings. The NN ...
Neural networks in 3-dimensional dynamic analysis of reinforced concrete buildings

Çağlar, Naci; Elmas, Muzaffer; Yaman, Zeynep; Sarıbıyık, Mehmet (ELSEVIER SCI LTD, 2008)

The objective of this study is to investigate the adequacy of Artificial Neural Networks (ANN) as a securer, quicker and more robust method to determine the dynamic response of buildings in 3D. For this purpose, two ANN ...
Nonlinear finite element study on the improvement of shear capacity in reinforced concrete T-Section beams by an alternative diagonal shear reinforcement

Demir, Aydın; Çağlar, Naci; Öztürk, Hakan; Sümer, Yusuf (ELSEVIER SCI LTD, 2016)

The numerical results demonstrate that there is a significant increase in shear and ductility capacity of RC beams when proposed DSR is included. Moreover, with an increase in diameter and yield strength of DSR, the shear ...
Numerical evaluation of core concrete quality on the response of concrete jacketed columns

Çağlar, Naci; Halil Sezen; Muhammed Nadir Olabi (PONTIFICIA UNIV CATOLICA CHILE, ESCUELA CONSTRUCCION CIVIL, 2019)

Reinforced concrete jacketing is one of the most frequently used methods for strengthening of reinforced concrete (RC) columns. A large number of experimental studies have been carried out to investigate the effectiveness ...
October 23, 2011 Turkey/Van-Ercis earthquake: structural damages in the residential buildings

Çelebi, Erkan; Aktaş, Muharrem; Çağlar, Naci; Özocak, Aşkın; Kutanis, Mustafa; Mert, Necati; Özcan, Zeki (SPRINGER, 2013)

On October 23, 2011, a magnitude of Mw 7.2 earthquake struck the Van province in eastern Turkey which caused approximately 600 life loss and 4,000 injured people. Although the recorded peak ground accelerations were ...
Parameters affecting diagonal cracking behavior of reinforced concrete deep beam

Demir, Aydın; Çağlar, Naci; Öztürk, Hakan (2019)
Parameters affecting diagonal cracking behavior of reinforced concrete deep beams

Demir, Aydın; Çağlar, Naci; Öztürk, Hakan (ELSEVIER SCI LTD, 2019)

In this study, an experimental study is performed to investigate the effects of section height (h), ratio of shear span to effective depth (a/d) and compressive strength of concrete (f(c)(')) parameters on diagonal cracking ...
Predicting the compressive strength and slump of high strength concrete using neural network

Çağlar, Naci (ELSEVIER SCI LTD, 2006)

High Strength Concrete (HSC) is defined as concrete that meets special combination of performance and uniformity requirements that cannot be achieved routinely using conventional constituents and normal mixing, placing, ...
The applicability of neural networks in the determination of soil profiles

Çağlar, Naci; Arman, Hasan (SPRINGER HEIDELBERG, 2007)

The drilling of a number of boreholes to determine the soil profile of a given area is time consuming and costly. This paper describes estimated soil profiles obtained using a model based on artificial neural networks ...