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دسته بندی:
پردازش تصویر - Image Processing
سال انتشار:
2015
عنوان انگلیسی مقاله:
Thin crack observation in a reinforced concrete bridge pier test using image processing and analysis
ترجمه فارسی عنوان مقاله:
مشاهده کرک نازک در یک آزمون اسکله پل بتن مسلح با استفاده از پردازش تصویر و تجزیه و تحلیل
منبع:
sciencedirect - elsevier- Advances in Engineering Software 83 (2015) 99–108
نویسنده:
Yuan-Sen Yang a,⇑ , Chung-Ming Yang a,b , Chang-Wei Huang
چکیده انگلیسی:
In reinforced concrete (RC) structural experiments, the development of concrete surface cracks is an important factor of concern to experts. One conventional crack observation method is to suspend a test at a few selected testing steps and send inspectors to mark pen strokes on visible cracks, but this method is dangerous and labor intensive. Many image analysis methods have been proposed to detect and measure the dark shadow lines of cracks, reducing the need for manual pen marking. However, these methods are not applicable for thin cracks, which do not present clear dark lines in images. This paper presents an image analysis method to capture thin cracks and minimize the requirement for pen marking in reinforced concrete structural tests. The paper presents the mathematical models, procedures, and limitations of our image analysis method, as well as the analysis flowchart, the adopted image processing and analysis methods, and the software implementation. Finally, the results of applying the proposed method in full-scale reinforced concrete bridge experiments are presented to demonstrate its performance. Results demonstrate that this method can capture concrete surface cracks even before dark crack lines visible to the naked eye appear. Keywords: Thin crack | Crack observation | Image analysis | Reinforced concrete | Structural experiments | Surface strain measurement
قیمت: رایگان
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