Essays about: "Concrete Crack Detection"
Found 4 essays containing the words Concrete Crack Detection.
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1. Numerical method to investigate and assess the capacity of a damaged concrete structure : Using image analysis and advanced concrete modeling
University essay from KTH/Bro- och stålbyggnadAbstract : Concrete has for decades been one of the main materials used to construct important structuressuch as dams and bridges. However, after years of service, the concrete structuresstart deteriorating and signs of damages start showing on the structure. READ MORE
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2. Automatic Crack Detection in Sand Molds Using Image Processing and Convolutional Neural Networks
University essay from Uppsala universitet/Signaler och systemAbstract : Sand casting is used to manufacture large metal workpieces. The processing is executed by pouring molten metal into a sand mold. During the process, the mold is subjected to mechanical and thermal stress. It is of economic interest to inspect the molds for defects that can affect casting results, in the worst case leading to discarded products. READ MORE
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3. A machine learning analysis of photographs of the Öresund bridge
University essay from Högskolan Kristianstad/Avdelningen för datavetenskap; Högskolan Kristianstad/Fakulteten för ekonomiAbstract : This study presents an exploration of several machine learning and image processing theories, as well as a literature review of several previous works on concrete crack detection systems. Through the literature review a system is selected and implemented with the Öresund bridge photograph collection. READ MORE
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4. Identification and quantification of concrete cracks using image analysis and machine learning
University essay from KTH/Bro- och stålbyggnadAbstract : Nowadays inspections of civil engineering structures are performed manually at close range to be able to assess damages. This requires specialized equipment that tends to be expensive and to produce closure of the bridge. Furthermore, manual inspections are time-consuming and can often be a source or risk for the inspectors. READ MORE