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Full-Text Articles in Engineering
Crack Control And Bond Performance Of Alternative Coated Reinforcements In Concrete, Sachin Sreedhara
Crack Control And Bond Performance Of Alternative Coated Reinforcements In Concrete, Sachin Sreedhara
All Dissertations
Concrete cracking in structures is a ubiquitous problem which can lead to the deterioration of the structure. Other than affecting the strength aspect of a structure, cracking impacts the serviceability criteria as well. Although cracking phenomenon in any structure is highly inevitable, it has to be minimized in order to maintain a structure’s life effectively. Cracking in reinforced concrete structures is related to the bond strength developed between the bar and the concrete. It also depends on an ability of the bar to resist the stresses due to shrinkage to minimize the crack. Another important aspect is the resistance offered …
Process Study And Control Of Electron Beam Melting Technology Using Infrared Thermography, Jorge Mireles
Process Study And Control Of Electron Beam Melting Technology Using Infrared Thermography, Jorge Mireles
Open Access Theses & Dissertations
An IR camera was installed in an Arcam A2 system (Arcam AB, Mölndal, Sweeden) and layer-by-layer image acquisition was achieved. The camera's capability to detect manufacturing defects was evaluated by implementing computer vision techniques using LabVIEW measurement and programming software (National Instruments, Austin, TX). Thermal maps acquired by the IR camera allowed layer-by-layer part temperature to be recorded. A core objective of this research was to study the impact of processing temperature on EBM-fabricated Ti-6Al-4V parts and achieve controlled mechanical properties. In this research, build variations were achieved by modifying parameters that change processing temperature from the standard processing temperature. …
Automated Semantic Content Extraction From Images, Mahdi Arab Khazaeli
Automated Semantic Content Extraction From Images, Mahdi Arab Khazaeli
LSU Doctoral Dissertations
In this study, an automatic semantic segmentation and object recognition methodology is implemented which bridges the semantic gap between low level features of image content and high level conceptual meaning. Semantically understanding an image is essential in modeling autonomous robots, targeting customers in marketing or reverse engineering of building information modeling in the construction industry. To achieve an understanding of a room from a single image we proposed a new object recognition framework which has four major components: segmentation, scene detection, conceptual cueing and object recognition. The new segmentation methodology developed in this research extends Felzenswalb's cost function to include …