Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Acet, Tuba(4)
- Aydınçakır, Emre(4)
- Kaygusuz, Abdullah(4)
- Sukuroglu, Ebru Emine(4)
- Baltacı, Cemalettin(3)
- Dessureault, Sean(3)
- Kankal, Murat(3)
- Karpuz, Ömer(3)
- Kurt, Kemal(3)
- Totik, Yasar(3)
- Yücel, Cem(3)
- Şan, Murat(3)
- Aksüt, Yavuz Selim(2)
- Akçay, Fatma(2)
- Ar, Ilker Murat(2)
- Cicerali, Derya(2)
- Duran, Celal(2)
- Efeoglu, Ihsan(2)
- Erol, Ismail(2)
- Günen, Mehmet Akif(2)
- Gürdal Limon, Elif(2)
- Jeong, Youn-Joong(2)
- Kahraman, M. Mustafa(2)
- Kurnaz, Muammer(2)
- Kurt, Pınar(2)
- Limon, Onur(2)
- Ozdes, Duygu(2)
- Oztel, Ahmet(2)
- Peker, Iskender(2)
- Rogers, W. Pratt(2)
- Saydam Eker, Çiğdem(2)
- Sukuroglu, E.E.(2)
- Sukuroglu, Suleyman(2)
- Totik, Y.(2)
- Vural, Alaaddin(2)
- Yetgin, Şükrü(2)
- Yi, Keewook(2)
- Yılmaz, Hacı Ömer(2)
- Çullu, Mustafa(2)
- İlyasoğlu, Huri(2)
Yayınlar
- MakaleYalnız künye2015Stochastic seismic analysis of Kömürhan Highway Bridge with varying material properties
Çavdar, Özlem; Bayraktar, Alemdar; Altunışık, Ahmet Can
Stochastic seismic finite element analyses of the Kömürhan Bridge, the material properties of which are described by random fields, are presented in this paper. The stochastic perturbation technique and Monte Carlo simulation (MCS) method are used in the analyses. A summary of MCS and perturbation-based stochastic finite element dynamic analysis formulation of the structural system is given. The Kömürhan Bridge, located on the 51st km of Elazığ-Malatya highway in the east of Turkey, was chosen as a numerical example. The Erzincan earthquake in 1992 was considered a ground motion, since it took place in the vicinity of the bridge. The material properties were considered to be random variables. During the stochastic analysis, displacements and internal forces of the bridge under consideration were obtained using the perturbation-based stochastic finite element method (SFEM), as well as the MCS method. The selected random variables were elastic modulus and mass density. The efficiency and accuracy of the proposed SFEM algorithm were validated through comparison with results of the MCS method.
- MakaleAçık Erişim2011Modelling and mapping third dimension in a spatial database
Döner, F.; Biyik, C.
In this paper, an overview of phases for modelling and mapping third dimension of spatial objects in a database is presented based on a selected spatial database management system (DBMS). These phases include (1) defining a spatial reference system for representing three-dimensional (3D) objects with real-world coordinates, (2) geometric modelling of 3D objects in the database, (3) 3D spatial indexing for fast accessing/querying the 3D data, 3D spatial queries and representation of 3D data. Then, a case study is performed to assess needs, possibilities and potential limitations of 3D data modelling in the spatial database.
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