Görüntü yöntemlerinin beton mikro yapısının ve çelik birleşimlerin deformasyon davranışlarının belirlenmesinde uygulanması

Download
2007
Güler, Murat
Sözen, Şahin
Özen, Murat
In this project, two different studies were conducted using digital imaging techniques. In the first phase, relationships between aggregate shape parameters and concrete strength were investigated. The relationships were sought using three mix design variables, i.e., aggregate gradation, maximum aggregate size and aggregate type. Cubical specimens were prepared under laboratory conditions and digital images were obtained from the cross section of each specimen to determine the aggregate shape parameters. Statistical analyses showed that all three mix design variables have significant effects on the concrete strength. It was noticed that the strength was more affected by gradation and aggregate type than by the other factors. The elongation factor was found to be a significant factor for the strength in the case of crushed aggregate. Also, the angularity seemed to increase the strength for smaller maximum particle size gradation. In the second phase of the project, the deformation behavior of steel connections under tensile loading was studied using the digital imaging techniques. A total of four different connections were tested within the scope of the project. Two connections were prepared by welding operation and the other two as bolted connections. The deformations were calculated from the image frames taken during the tensile tests of the connections. The calculated deformations were compared with the measured deformations using strain gages. The comparison was also made based on the results obtained from the finite element solutions. The analyses showed that the deformations obtained form the digital frames are in close agreement with the measured deformations as well as the calculated deformations from the finite element model of the connections. Hence, it was concluded that the deformation distribution for steel connections can be accurately determined using the digital imaging techniques without a direct contact to specimen surfaces.

Suggestions

Visual-inertial sensor fusion for 3D urban modeling
Sırtkaya, Salim; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2013)
In this dissertation, a real-time, autonomous and geo-registered approach is presented to tackle the large scale 3D urban modeling problem using a camera and inertial sensors. The proposed approach exploits the special structures of urban areas and visual-inertial sensor fusion. The buildings in urban areas are assumed to have planar facades that are perpendicular to the local level. A sparse 3D point cloud of the imaged scene is obtained from visual feature matches using camera poses estimates, and planar ...
Video stabilization: digital and mechanical approaches
Bayrak, Serhat; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2008)
General video stabilization techniques which are digital, mechanical and optical are discussed. Under the concept of video stabilization, various digital motion estimation and motion correction algorithms are implemented. For motion estimation, in addition to digital approach, a mechanical approach is implemented also. Then all implemented motion estimation and motion correction algorithms are compared with respect to their computational times and accuracies over various videos. For small amount of jitter, ...
A Shadow based trainable method for building detection in satellite images
Dikmen, Mehmet; Halıcı, Uğur; Department of Geodetic and Geographical Information Technologies (2014)
The purpose of this thesis is to develop a supervised building detection and extraction algorithm with a shadow based learning method for high-resolution satellite images. First, shadow segments are identified on an over-segmented image, and then neighboring shadow segments are merged by assuming that they are cast by a single building. Next, these shadow regions are used to detect the candidate regions where buildings most likely occur. Together with this information, distance to shadows towards illuminati...
Semi-automatic ground-truth trajectory extraction on image sequences
Karabıyık, Murat; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2017)
In this thesis, offline semi-automatic ground-truth trajectory extraction technique is proposed that uses measurements of detector as basis. The unknown camera motion of the videos used throughout the thesis makes the problem even more challenging. The camera motion is estimated by using a novel method which uses a special Kalman filter. Background objects are discriminated from the targets and they are used to estimate the camera motion. Two different trackers are implemented to extract the ground-truth. M...
Building detection from satellite images using shadow and color information
Güdücü, Hasan Volkan; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2008)
A method for detecting buildings from satellite/aerial images is proposed in this study. The aim is to extract rectilinear buildings by using hypothesize first verify next manner. Hypothesis generation is accomplished by using edge detection and line generation stages. Hypothesis verification is carried out by using information obtained both from the color segmentation of HSV representation of the image and the shadow detection stages’ output. Satellite/aerial image is firstly filtered to sharpen the edges....
Citation Formats
M. Güler, Ş. Sözen, and M. Özen, “Görüntü yöntemlerinin beton mikro yapısının ve çelik birleşimlerin deformasyon davranışlarının belirlenmesinde uygulanması,” 2007. Accessed: 00, 2020. [Online]. Available: https://app.trdizin.gov.tr/publication/project/detail/T0RJMk9Uaz0.