Hafif Çelik Elemanlar için İki Boyutlu Görüntülerden Üç Boyutlu Yüzey Ağı Elde Edilmesi

Yıl 2023, , 1930 - 1945, 24.10.2023

Burcu Güldür Erkal

https://doi.org/10.29130/dubited.1146323

Öz

Hafif çelik yapılarla ilgili yürütülen araştırmalardaki son gelişmeler ve güncellenen tasarım yönergeleri sayesinde hafif çelik elemanların inşaat süreçlerinde kullanımı önemli ölçüde artmıştır. Değişken kesit özelliklerine sahip hafif çelik elemanlar ince çelik sacların soğuk şekillendirme aracılıyla bükülmesiyle elde edilmektedir. Bu elemanların yapılarda kullanılmasıyla ekonomik, hafif, verimli ve esnek yapılar tasarlanabilmektedir. Fakat, yapısı gereği hafif çelik elemanları oluşturan ince çelik saclarda nakliye, kurulum ve hatta üretim nedeniyle şekilsel kusurlar oluşabilmektedir. Bu şekilsel kusurlar hafif çelik elemanların fiziksel davranışlarını etkileyebilmektedir. Bu nedenle, hafif çelik bir elemanın fiziksel davranışını doğru bir şekilde değerlendirebilmek için mevcut şekilsel kusurları belirlemek ve bu şekilsel kusurların hafif çelik eleman davranışı üzerindeki etkisini araştırmak gerekir. Ancak, hafif çelik elemanların kapsamlı şekilsel kusur dağılımlarını çıkarabilmek için detaylı yüzey verisine ihtiyaç vardır. Son yıllarda yürütülen çalışmalarda yüzey verisi üç boyutlu (3B) tarayıcı sistemler kullanılarak elde edilmektedir. Fakat, 3B veri toplama işlemi kullanılan özel ekipmanlar sebebiyle maliyetli bir işlemdir. Bu çalışmada, incelenen hafif çelik elemanların yüzeyinden standart bir kamera ile toplanan iki boyutlu (2B) görüntülerden kapsamlı 3B yüzey verilerinin çıkarılması için düşük maliyetli bir metodoloji önerilmiştir. Oluşturulan 3B verinin ileriki çalışmalarda şekilsel kusur çıkarımı için kullanılacak detay ve çözünürlükte olması hedeflenmiştir.

Anahtar Kelimeler

C-kesitli eleman, Hafif çelik, Nokta bulutu, Şekilsel kusur, Yüzey ağı

Destekleyen Kurum

TÜBİTAK

Proje Numarası

217M513

Teşekkür

Bu çalışma Hacettepe Üniversitesi Bilimsel Araştırma Projeleri Koordinasyon Birimi (BAP) tarafından FHD-2017-15248 No'lu proje kapsamında desteklenmiştir. Yazar, test kurulumu tasarımı ve üretimi için destek ve rehberliklerinden dolayı Parkon İnşaat firmasına teşekkür eder. Bu makalede ifade edilen görüşler, bulgular ve sonuçlar yazara aittir ve Hacettepe Üniversitesi'nin görüşlerini yansıtmayabilir.

Obtaining Three-Dimensional Surface Meshes from Two-Dimensional Images for Cold-Formed Steel Members

Öz

The use of cold-formed steel (CFS) in construction processes has increased significantly, thanks to the latest research on CFS structures and updated design guidelines. CFS members are obtained by forming thin steel sheets into different cross-section geometries. Using these elements in buildings, economic, light, efficient, and flexible structures could be designed. However, due to its nature, thin steel sheets that make up CFS members may have geometric imperfections resulting from transportation, installation, and production. These geometric imperfections could affect the physical behavior of CFS members. Therefore, to accurately evaluate a CFS member's physical behavior, it is necessary to identify the existing geometric imperfections and investigate their effect on the CFS member's behavior. However, detailed surface data is needed to extract comprehensive geometric imperfection distributions of CFS members. In studies carried out in recent years, surface data is obtained by using three-dimensional scanning systems. However, three-dimensional data collection is costly due to the special equipment used. In this study, a low-cost methodology is proposed to extract comprehensive three-dimensional (3D) surface data from two-dimensional (2D) images collected with a standard camera from the surface of the investigated CFS members. It is aimed that the created 3D representation will be in detail and resolution to be used for geometric imperfection extraction in future studies.

Anahtar Kelimeler

Cold-formed steel, C-sectioned member, Geometric imperfection, Point cloud, Surface mesh

Proje Numarası

217M513

Kaynakça

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