Betonarme binaların hasar indeksi ve eleman önem katsayılarının hesaplanması için program yazılması


Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü, Türkiye

Tezin Onay Tarihi: 2004

Tezin Dili: İngilizce

Öğrenci: Arif Öksüz

Danışman: AHMET TÜRER

Özet:

Turkey has many active faults which have the potential to generate large earthquakes. Recent earthquakes showed that the buildings in Turkey are not well designed and vulnerable to earthquakes. Previous studies on the subject showed that many structures in Turkey need to be strengthened before the next major earthquake to minimize property loss and casualties. A number of fast and approximate (mostly empirical) methods have been developed in the past to process large building stock. However, there are some important and special structures that do not fit with the general building stock and needs special consideration (e.g., disaster management center, governmental buildings, hospitals, tall structures, etc.). This study targets to evaluate those important and special structures in a detailed, fast, and correct manner. The developed software, which constitutes an important part of this study, does process the building information several times to determine member-based importance factors. The vulnerability index of the building will be determined using the importance of each load-carrying member and how much each member is forced with respect to its capacity. In order to augment user perception, a functional graphical user-interface is designed. Software is equipped with modules that generate input files for SAP2000 analysis program, conduct dynamic and static analysis automatically, and postprocess the generated analysis results which enable the engineer to make a decision on the vulnerability of the structure. Program is written in C++, using object-oriented programming technique. The main difference between this and similar studies is the generator program which automatically generates 3D-FE models and post-processes nonlinear analysis results for an effective decision