Abstract: Fragility curve is an effective common used tool to determine the earthquake performance of structural and nonstructural components. Also, it is used to determine the nonlinear behavior of bridges. There are many historical bridges in the Turkish railway network; the earthquake performances of these bridges are needed to be investigated. To derive fragility curve Intensity measures (IMs) and Engineering demand parameters (EDP) are needed to be determined. And the relation between IMs and EDP are needed to be derived. In this study, a typical simply supported steel girder riveted railway bridge is studied. Fragility curves of this bridge are derived by two parameters lognormal distribution. Time history analyses are done for selected 60 real earthquake data to determine the relation between IMs and EDP. Moreover, efficiency, practicality, and sufficiency of three different IMs are discussed. PGA, Sa(0.2s) and Sa(1s), the most common used IMs parameters for fragility curve in the literature, are taken into consideration in terms of efficiency, practicality and sufficiency.
Abstract: Analyzing the relation networks between the hospital
buildings which have complex structure and distinctive spatial
relationships is quite difficult. The hospital buildings which require
specialty in spatial relationship solutions during design and selfinnovation
through the developing technology should survive and
keep giving service even after the disasters such as earthquakes. In
this study, a hospital building where the load-bearing system was
strengthened because of the insufficient earthquake performance and
the construction of an additional building was required to meet the
increasing need for space was discussed and a comparative spatial
evaluation of the hospital building was made with regard to its status
before the change and after the change. For this reason, spatial
organizations of the building before change and after the change were
analyzed by means of Space Syntax method and the effects of the
change on space organization parameters were searched by applying
an analytical procedure. Using Depthmap UCL software,
Connectivity, Visual Mean Depth, Beta and Visual Integration
analyses were conducted. Based on the data obtained after the
analyses, it was seen that the relationships between spaces of the
building increased after the change and the building has become more
explicit and understandable for the occupants. Furthermore, it was
determined according to findings of the analysis that the increase in
depth causes difficulty in perceiving the spaces and the changes
considering this problem generally ease spatial use.
Abstract: In this study, an Artificial Neural Network (ANN)
analytical method has been developed for analyzing earthquake
performances of the Reinforced Concrete (RC) buildings. 66 RC
buildings with four to ten storeys were subjected to performance
analysis according to the parameters which are the existing material,
loading and geometrical characteristics of the buildings. The selected
parameters have been thought to be effective on the performance of
RC buildings. In the performance analyses stage of the study, level of
performance possible to be shown by these buildings in case of an
earthquake was determined on the basis of the 4-grade performance
levels specified in Turkish Earthquake Code-2007 (TEC-2007). After
obtaining the 4-grade performance level, selected 23 parameters of
each building have been matched with the performance level. In this
stage, ANN-based fast evaluation algorithm mentioned above made
an economic and rapid evaluation of four to ten storey RC buildings.
According to the study, the prediction accuracy of ANN has been
found about 74%.