Bu çalışmanın başlıca amacı; olası bir depremde meydana gelecek hasar ve kayıp olasılıklarını tahmin etmeye yarayan bir hasar tahmin metodu geliştirmektir. Bu amaçla; 11 farklı tip betonarme yapı için hasar olasılık grafikleri elde edilmiştir. Çalışma kapsamında 341 adet betonarme konut binası; yapım yılı, kat adedi ve bina kalitesi gibi ortak özelliklerine göre gruplanmıştır. Toplam 11 farklı bina grubu elde edilmiştir. Binaların tamamı bilgisayar ortamında 3 boyutlu olarak modellenmiş ve her bir bina modeli nonlinear statik itme analizi ile analiz edilmiştir. Ardından, analizlerden elde edilen veriler kullanılarak her bina grubu için 4 farklı hasar olasılığını gösteren kırılganlık eğrileri çizilmiştir. 11 farklı bina grubu için toplam 44 kırılganlık eğrisi elde edilmiştir. Çalışma neticesinde elde edilen eğriler kullanılarak benzer özelliklere sahip binaların yer aldığı herhangi bir bölgedeki olası hasarları tahmin etmek mümkündür.

As a way to reduce structural vibration, many buildings are initially intended to be base-isolated. However, because of the base isolators' inherent nonlinear behavior, particularly in earthquake-prone areas, buildings equipped with base isolation systems may experience significant displacement demands. Therefore, in certain situations, it might be required to use additional damping devices to control the seismic response of base-isolated buildings. This study examines three different building models: Fixed Base (FB), Isolated Base (IB), and Isolated Base with installed Viscous Dampers (IB&VD) in the base layer of the building. Sosokan, a nine-story structure on Keio University's Yagami Campus, is utilized for this purpose. The building is modeled in MATLAB. A state-space representation of the building with a Maxwell-type viscous damper model is used. The responses of the building models with FB, IB, and IB&VD are evaluated by time history analyses using eight ground motion records. Certain engineering requirements criteria, such as inter-story drift ratios and absolute acceleration, are taken into consideration while evaluating the findings of the analysis. Based on one of this study's main findings, a base-isolated building with passive viscous damping in the base layer could significantly reduce both maximum seismic displacement and acceleration. Maximum acceleration and inter-story drift are lowered by up to 92% and 89%, respectively, when IB&VD is scaled to the FB model. Based on the results of this study, passive viscous dampers combined with building base isolation are not only useful for multi-objective optimization (i.e., reducing acceleration as well as inter-story drift) but they can also be used to reduce high-frequency accelerations, which could be important for building equipment that is sensitive to acceleration.

Historical masonry minarets are highly vulnerable to seismic actions due to their slender geometry, limited tensile capacity, and material heterogeneity. However, their response to near-fault ground motions characterized by velocity pulses remains insufficiently explored. This study investigates the seismic response of the historical Tavanlı Mosque Minaret (1894, Trabzon, Türkiye) subjected to pulse-like (PL) and non-pulse-like (NPL) near-fault ground motions. A three-dimensional finite element model (FEM) was developed in ANSYS Workbench and systematically calibrated using empirical formulations to represent the current dynamic condition of the structure. Seismic performance was evaluated through linear dynamic analyses in terms of displacement demands, principal stress distribution, and drift-ratio-based performance levels. The results indicate that model calibration significantly modifies the dynamic characteristics, increasing the fundamental frequency from 0.734 Hz to 1.126 Hz and reducing displacement demands by approximately 35–76% across the considered records. Despite this improvement, PL ground motions consistently generate more critical deformation demands than NPL motions, frequently exceeding Collapse Prevention (CP) limits even when Peak Ground Acceleration (PGA) values are relatively low. A key finding is that seismic demand cannot be reliably predicted by peak intensity measures or pulse-period ratios ($T_p/T_1$) alone; rather, velocity-related parameters and pulse coherence govern the structural response. These results demonstrate that integrating empirical model calibration with pulse-sensitive seismic analysis is essential for reliable seismic assessment and conservation planning of slender historical masonry structures located in near-fault regions. The study offers a systematic framework that integrates model calibration and pulse-sensitive seismic analysis for evaluating the drift-controlled response of slender historical masonry minarets in near-fault regions.

Karbon fiber takviyeli kumaşlar (CFRP) gibi çeşitli polimer kompozitlerin deprem dayanımı yetersiz yapıların güçlendirilmesinde kullanımı yaygınlaşmaktadır. Bu yeni güçlendirme yöntemi sargı etkisiyle betonarme elemanların basınç dayanımını artırırken sünek davranışa da önemli ölçüde katkı sağlamaktadır. Bu çalışma kapsamında; mevcut bir yapıdan karot numuneler alınmıştır. Bu karot numuneler CFRP ile sarılarak güçlendirilmiş ve basınç dayanımları ölçülmüştür. Aynı zamanda karot numuneler ANSYS yazılımıyla bilgisayar ortamında modellenerek bu model üzerinden teorik basınç dayanımları hesaplanmış ve bu teorik değerlerin deneysel dayanımlarla kıyaslanması yapılmıştır. Elde edilen teorik ve deneysel basınç dayanımları konuya ilişkin literatürle karşılaştırılmıştır. Bu çalışma sonucunda tek kat ve iki kat CFRP sarılarak güçlendirilen numunelerin gerilme deformasyon sonuçları literatürdeki çalışmalarla örtüşen sonuçlar elde edilmiştir. Deneysel ve teorik değerlerin birbiriyle uyumlu olduğu bir modelleme yaklaşımı ortaya koyulmuştur.

In this study, the fragility curves were formed for 1 and 2 stories reinforced concrete (RC) residential buildings. The information regarding the structures was taken from projects of the buildings. Nonlinear pushover (NP) analyze was performed to 84 RC buildings which were divided to 2 groups. The buildings built 1998 and later were called Group-A. The building built before 1998 was called Group B. As for nonlinear analysis, a 3D computer model was drawn for each building and nonlinear analyses were applied to these models. Each building was analyzed for 2 dimensions (X and Y). Totally 168 NP analysis were performed for each building. 4 damage limits (slight, moderate, heavy and complete) and 5 damage zones (undamaged, slight, medium, extensive and collapse) were determined according to maximum interstory drift ratio. Fragility curve parameters were obtained at the result of the NP analysis. Probability density functions were calculated with the help of lognormal mean and lognormal standard deviation values of limit states. The fragility curves were generalized for the buildings in Group A and Group B. At the conclusion of this work; 8 fragility curves obtained for 1 and 2 stories reinforced concrete buildings in. Using these 8 curves; damage possibility can be estimated for RC buildings which have same features.

The aim of this study is to develop an artificial intelligence that predicts the compressive strength of fly ash substituted concretes using material mixing ratios. Within the scope of the study, 5 different fly ash mixed concrete samples were produced. The strength values were estimated using artificial neural networks before the produced samples were subjected to the pressure test. In order to develop the artificial neural network, it is introduced as a dataset of 3000 different mixing ratios consisting of experimental results in the existing literature. In order to estimate the compressive strength, varying ratios of 8 different materials such as water, cement, fly ash entering the mixture are analyzed. As a result of the study, it has been observed that the predictions made using artificial neural networks are very close to the strength values obtained from the experiments.I