2147-9364_2007_22_4

Author: Dünyamin GÜÇLÜ, Şükrü DURSUNPublishing Date: 2007E-ISSN: 2147-9364Volume 22  Issue 4 ABSTRACT:Dynamic simulation is an important tool for the improvement of wastewater treatmentplant operation. In this study, dynamic simulation model of the Ankara central wastewater treatmentplant (ACWT) were evaluated. First, a mechanistic model of the municipal wastewater treatmentprocess is developed based on Activated Sludge Model No. 1 by using a […]

Author: Abdulkerim İLGÜN, Ergin ATIMTAY Publishing Date: 2007 E-ISSN: 2147-9364 Volume 22  Issue 4 ABSTRACT: The subject of this research is the study of the strength and behavior of multi-storybuildings constructed by the tunnel-framework technique subjected to earthquake excitations. Forthis purpose, a section composed of the connection regions of the structural walls which are thevertical members and the floors which are

Author: M.Soner TAŞTEKİN, Nail KARA, M.Hakan ARSLANPublishing Date: 2007E-ISSN: 2147-9364Volume 22  Issue 4 ABSTRACT:Safety and economy must be considered with together in all structural projects, whichwill be built. According to the researches in Turkey, construction techniques are various in industrialbuildings. The main aim of the study is to compare economical aspects of the various constructiontechniques. Therefore, in this study, prefabricated,

Author: Metin GÜLERCE, Abdülkerim İLGÜNPublishing Date: 2007E-ISSN: 2147-9364Volume 22  Issue 4 ABSTRACT:Project management concept is becoming a current issue in recent years. Especially the construction firms show great interest in project management. In this study, cumulative cost was estimated by applying concrete, formwork and reinforcement costs into regression method to facilitate and gain time for a project manager or a

Author: Yusuf DEMİRELPublishing Date: 2007E-ISSN: 2147-9364Volume 22  Issue 4 ABSTRACT:In this study, it is aimed to estimate material and manpower resources for multiple reinforced concrete buildings by using Artificial Neural Networks (ANN). For this purpose, a data setformed by analyzing material and manpower resources for seven number of multiple reinforced concrete building is introduced to ANN, and estimated data related