Turan, Ahmet Ihsan; Celik, Alper

Türkiye, aktif deprem kuşağında yer almakta olup tarih boyunca yıkıcı depremler yaşamıştır. 6 Şubat 2023 Pazarcık (Mw 7.7) ve Elbistan (Mw 7.6) depremleri, özellikle bölgede yaygın olan mühendislik hizmeti almamış yığma yapılarda büyük hasara yol açmıştır. Bu çalışma, Malatya ilindeki yığma yapı stokunda gözlenen hasar türlerini incelemekte ve saha gözlemlerine dayanarak bu hasarların olası nedenlerini tartışmaktadır. Nitel bulguları desteklemek amacıyla, temsilî az katlı yığma yapı prototiplerinin deprem davranışını karşılaştırmalı olarak değerlendiren sayısal analizler gerçekleştirilmiştir. Doğrusal-elastik yanıt spektrumu analizleri ve modal esaslı yaklaşım kullanılarak iki ana parametre dikkate alınmıştır: taşıyıcı duvar malzemesi türü (dolu kil tuğla, boşluklu kil tuğla ve gazbeton) ve kat sayısı (1–3). Saha gözlemleri, yapı stokunun önemli bir bölümünün yeterli mühendislik hizmeti olmadan inşa edildiğine işaret etmekte; ayrıca katlar arasında farklı yığma birimlerinin kullanılması gibi düzensiz uygulamaların kritik zafiyetlere yol açabildiğini göstermektedir. Sayısal sonuçlar da rijitlik ve deplasman taleplerinin hem yığma birimi türüne hem de yapı yüksekliğine güçlü biçimde bağlı olduğunu ortaya koymakta ve özellikle daha hafif yığma sistemlerde kat sayısı arttıkça daha olumsuz talep eğilimlerinin gelişebileceğine işaret etmektedir.

Yuksel, Mehmet Erkan; Sevgen, Selcuk; Yıldız, Eyyüp

Generative Adversarial Networks (GANs) have revolutionized the field of deep learning by enabling the production of high-quality synthetic data. However, the effectiveness of GANs largely depends on the size and quality of training data. In many real-world applications, collecting large amounts of high-quality training data is time-consuming, and expensive. Accordingly, in recent years, GAN models that use limited data have begun to be developed. In this study, we propose a GAN model that can learn from a single training image. Our model is based on the principle of multiple GANs operating sequentially at different scales, where each GAN learns the features of the training image and transfers them to the next GAN, ultimately generating examples with different realistic structures at the final scale. In our model, we utilized a self-attention and new scaling method to increase the realism and quality of the generated images. The experimental results show that our model performs image generation successfully. In addition, we demonstrated the robustness of our model by testing it in different image manipulation applications. As a result, our model can successfully produce realistic, high-quality, diverse images from a single training image, providing short training time and good training stability.

Bulut, H. Alperen

This study was performed in order to examine the behavior of natural perlite aggregate composites against durability problems caused by alkali silica reaction (ASR). Mortars containing 5%, 10%, 25%, 50%, 75% and 100% natural perlite were subjected to the ASR test. Mechanical tests were also performed on mortar samples. In addition, scanning electron microscope (SEM) analyzes were also applied. The expansion value of the 25% natural perlite substituted mortar with the highest ASR expansion increased by 145% as compared with the control mortar. When the natural perlite ratio increased from 25% to 100%, the expansion values decreased dramatically. 5% natural perlite substituted mortar had the highest compressive and flexural strengths. The SEM analysis results were obtained to be consistent with the ASR expansion results. Experimental results proved that mortars produced from 100% natural perlite can be used effectively to reduce the durability problems caused by ASR.

Akar, Funda; Aydın, Yıldız

Because digital images may contain a variety of data, they are regarded as an important source for information sharing. Also, images are widely used as evidence in a variety of real-life cases. The rapid rise in popularity of digital photographs is due to the improvement of technologies. Several software programs have been developed in recent years to modify digital images, such as Photoshop and Corel Photo, however these programs are now being used extensively for forgery. Because of technological advancements, it is difficult for people to recognize faked images with their naked eyes Therefore, in this study, the features used in forgery detection problems are combined to ensure accurate labeling of even forgery images that are difficult to detect. Stronger feature is obtained by combining Speeded-Up Robust Features (SURF) and Maximally Stable Extremal Regions (MSER). Considering the experimental results; it has been observed that the use of the proposed method, which is obtained as a result of combining the two methods in copy-move forgery detection problems, is more successful than using the SURF and MSER features separately.

Özel, Oğuz; Akar, Fahriye

Çameli (Denizli) Bölgesi Güneybatı Anadolu’da bulunan aktif tektonik bölgelerden biridir. Bu çalışmada ÇameliBölgesi’ ndeki aktif deprem zonu, gravite ve manyetik yöntem kullanılarak 2- ve 3-boyutlu olarak modellenmiştir.Çalışma kapsamında Maden Tetkik ve Arama Genel Müdürlüğünden alınan gravite ve manyetik verilerine jeofizikanaliz yöntemleri uygulanmıştır. Son olarak, elde edilen gravite ve manyetik sonuçlarının birlikte yorumu ilebölgeye ait tektonik izler ortaya konmuş ve deprem oluşumu ile ilişkilendirilmiştir. Bu çalışmada her ne kadarbölgedeki akışkan varlığının deprem oluşumunda önemli bir etken olduğu ortaya çıkarılsa da genel olarak çalışmaalanının tektonik geçmişi, kabuktaki ve üst mantodaki malzemelerin litolojisi, akışkan içeriği, madde heterojenitesigibi tüm fiziksel ve mekanik özelliklerin bir arada deprem oluşumunu tetiklediği sonucuna ulaşılmıştır.

Kara, Yusuf; Seyhan, Aslıhan Kurnuç

Research was conducted to investigate the performance of phase change material (PCM) walls for solar spaceheating. The PCM walls were consisted of brick walls, plasterboards containing PCMs and novel triple glazingunits. South façade of a test room was constructed using the PCM walls for heating the test room with solarthermal energy. The overall efficiency of the PCM walls was experimentally determined on a monthly basis. Inaddition to experimental analysis, a theoretical energy analysis of the PCM walls based on 10-year meanmeteorological data was performed to provide a more general conclusion about the performances of the PCMwalls. Besides, reduction in CO2 from the test room owing to PCM wall was also calculated. Theoretical analysisresults showed that, the reduction of CO2 emission on a monthly basis varied from 57 to 7% during the heatingperiod. Heating period is from October through May. Reduction of CO2 emission was 16% on an annual basis.