Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleAçık Erişim2023Yapım İşi Sürecinde Ceza ve Kesinti Türlerinin Yüklenici Performansındaki Önem Derecelerinin Belirlenmesi
Toğan, Vedat; Tekin, Duygu
Kamu kurum ve kuruluşları mal, hizmet alımı ve yapım işlerinin sorunsuz bir şekilde istenilen kalite standartlarına uygun olarak teslim alınmasına yönelik denetim süreçlerini işletmektedirler. Bu süreçte meydana gelen ceza ve kesinti türleri hakediş dosyalarının kesintiler ve mahsuplar kısmına kaydedilmektedir. Yükleniciye projenin tamamlanma süresi dahilinde uygulanan cezalar, yapım işi süresince yüklenici performansının değerlendirilebilmesi açısından önemli bir göstergedir. Bu çalışmanın amacı, yüklenicinin projeyi tamamlama süresince aldığı ceza ve kesinti türlerinin yüklenici performansındaki önem seviyelerini belirlemektir. Bu sebeple, yapımı tamamlanmış inşaat projelerinin hakediş belgeleri üzerinde yapılan inceleme ile yüklenicinin inşaat süreci boyunca almış olduğu ceza ve kesinti türleri belirlenmiştir. Daha sonra ceza ve kesinti türlerinin yüklenici performansı üzerindeki önem seviyelerini belirlemek amacıyla bir anket hazırlanmıştır. Hazırlanan anket, kamu yapım işi kabul komisyonlarında görev almış uzman kişilere uygulanmıştır. Sonuçların değerlendirilmesinde dilsel problemlerin çözümünde yaygın olarak kullanılan bulanık analitik hiyerarşi süreci yöntemi kullanılmış ve yüklenicinin yapım işi boyunca aldığı ceza ve kesinti türlerinin yüklenici performansındaki önem dereceleri belirlenmiştir.
AtıfOpenAlex1TR Dizin1
İncele - MakaleAçık Erişim2022Housing Demand Forecasting with Machine Learning Methods
Emec, Seyma; Tekin, Duygu
Housing is a place where sustainable urban spaces are produced and where people's physical, cultural, environmental, economic, social and psychological needs are evaluated together with their surroundings, rather than just a building where the need for shelter is met. With the acceleration of urbanization, new needs arise, and the first of these is the need for housing. The housing sector has become one of the most dynamic and continuous sectors associated with the increase in the need for housing. The need for adequate and accessible housing comes to the forefront in our country as well as in the world. Understanding and predicting the key features determining housing prices and value is an important consideration for urban planners and housing policymakers. In this study, machine learning and artificial neural network models were used to predict the housing demand of Konya, and their forecasting performances were compared. As a result, it was concluded that ANN is a better alternative for housing demand forecasting in Konya.
AtıfOpenAlex3TR Dizin3İncele - MakaleAçık Erişim2018Investigation of Superplasticiser Effect on Blended Cements Replaced By Bottom Ash
Tekin, Ilker; Tekin, Duygu
In the study, the main aim was determined conformity between blended cements and superplasticizer (SP) with fineness of mineral additives. Within this scope, compressive strength test and flow table test were performed on the cement mortars and standard consistency, setting times and soundness tests were performed on cement pastes which prepared with blended cements. In the experimental studies, bottom ash from Yatagan thermal power plant which was used after grinded size from 2 mm to 120 Am and 60 Am sizes was replaced with CEM I 42.5R type cement by weight 0%, 10%, 20% and 30%. Moreover superplasticizer additives which contained poly naphthalene sulfonate (PNS) from different companies were tried in blended cements According to the results, fineness of mineral additives increased the compressive strength of the mortars and accelerated setting times. PNS based SP's affects fresh paste behaviors such as reducing initial setting times and retarding finish setting times Another result is that company differences in PNS based chemical additives is significant parameter with cement conformity and this parameter makes up significant effects on fresh cement paste.
- MakaleAçık Erişim2018Effect of the polynaphtalene sulfonate based superplasticizer on mechanical and physical properties of blended cement replaced with Bayburt Stone at different fineness
Tekin, Ilker; Tekin, Duygu
In this study, grinded Bayburt Stone has pozzolanic property with 45 mu m and 125 mu m fineness was replaced with PC 42.5R (CEM-I) type cement at ratio of 0%, 10%, 20%, and 30% by weight. The aim of this study was made up in two phase, one of them was to investigate the effects of Bayburt Stone waste contain zeolite with different fineness on physical and mechanical properties of composite cements and the other one was to investigate behavior of same superplasticizer belong to two different company. Standard consistency, setting time and volume expansion tests are performed on the cement pastes and compression strength and flow tests are performed on the cement mortars. Mortar specimens are kept in standard curing for 28 days, than compressive strength test are performed at the ages of 2, 7 and 28 days. As a result, changes in specific surface area depending on the particle size distribution of mineral additives makes significant different on the physical, mechanical and rheological properties of cement mortars. In this study, it was determined that same type of superplasticizers which had different companies could be used in blended cement replaced with Bayburt stone.
AtıfOpenAlex1TR Dizin1
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