• Journal of the Korean Geotechnical Society
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• v.21 no.5
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• pp.207-214
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• 2005

The reflected signals from the defects of a pile and the boundaries between the pile and soils are analyzed to evaluate the integrity of drilled shafts in the impact-echo test. Signals varied according to both of the stiffness ratio of the pile to defects and that of the pile to surrounding soils. Model tests using the small size pile in the laboratory and numerical analyses have limitations in finding the characteristics of the signals due to different stress wave characteristics and unreliable modelling for the interaction between the pile and soils respectively. Full scale testing piles which have artificial defects are installed by the actual construction method and they were used to investigate the characteristics of reflected signals according to defects and the stiffness ratios of the pile to soils around.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.845-849
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• 2024

Currently, rail surface defects are increasing due to the aging of urban railway rails, but in the detailed guidelines for track performance evaluation established by the country, rail surface damage is inspected with the naked eye of an engineer and with simple measuring tools. It is very important to discover defects in the rail surface through periodic track tours and visual inspection. However, evaluating the severity of defects on the rail surface based on the subjective judgment of the inspector has significant limitations in predicting damage inside the rail. In this study, the characteristics of cracks inside the rail due to rail surface damage were studied. In field measurements, rail surface damage was selected, old rail samples were collected in the acceleration and braking sections, and a scanning electron microscope (SEM) was used to evaluate the rail surface damage was used to analyze the crack characteristics. As a result of the analysis, the crack mechanism caused by the running train and the crack characteristics of the acceleration section where cracks occur at an angle rising toward the rail surface were experimentally proven.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.546-550
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• 2008

Midium-size Companies have participated in most of the Educational Facility Construction. Since they are lack of special manpower, construction experience, and know-how, many construction defects cause. A water leakage is a typical construct defect in the educational facility construction. A water leakage prevention has to be careful considered in plan, construction and maintenance stages. Therefore, this study suggests Check List for the water leakage prevention, which designer/engineer must consider in plan, construction, and maintenance stages for the educational facility.

• Proceedings of the Korean Institute of Building Construction Conference
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• v.y2004m10
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• pp.91-94
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• 2004

The demand for apartments is decreasing as the condition of housing market in Korea has changed. Therefore, construction companies have to understand the needs of the customers to win over them. It is important for construction companies not only to supply customers with high quality apartments but also to provide them high service quality for a long range plan. One of the important service of the construction companies is after-service(A/S) that includes the defect management. The inhabitants' unsatisfactory defect management will worse the image of the company among the future customers. Also A/S is one of the best way for the company to create good impression to the customers. so the defect management carried out by construction firms has to satisfy the inhabitants. In this study. the degree of association between inhabitants satisfaction and the company's image is proved and the factors of the inhabitants dissatisfaction in defect-management are presented. The major factor that causes dissatisfaction is the long service time of the defect management. Therefore, shortening the time of process taken to deal with the defects would allow construction outfits to satisfy their customers effectively and to be more competitive ones in the Korean apartment market.

• Journal of Welding and Joining
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• v.16 no.5
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• pp.108-118
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• 1998

This study proposes th analysis and evaluation method of time series ultrasonic signal using the chaos feature extraction for ultrasonic pattern recognition. Features extracted from time series data using the chaos time series signal analyze quantitatively weld defects. For this purpose, analysis objective in this study is fractal dimension and Lyapunov exponent. Trajectory changes in the strange attractor indicated that even same type of defects carried substantial difference in chaosity resulting from distance shifts such as 0.5 and 1.0 skip distance. Such differences in chaosity enables the evaluation of unique features of defects in the weld zone. In quantitative chaos feature extraction, feature values of 4.511 and 0.091 in the case of side hole and 4.539 and 0.115 in the case of vertical hole were proposed on the basis of fractal dimension and Lyapunov exponent. Proposed chaos feature extraction in this study can enhances ultrasonic pattern recognition results from defect signals of weld zone such as side hole and vertical hole.

• Smart Structures and Systems
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• v.17 no.1
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• pp.45-58
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• 2016

Freezing and thawing cycles induce deterioration and strength degradation of concrete structures. This study presumes that a large quantity of contact-type defects develop due to the freezing and thawing cycles of concrete and evaluates the degree of defects based on a nonlinearity parameter. The nonlinearity parameter was obtained by an impact-modulation technique, one of the nonlinear ultrasonic methods. It is then used as an indicator of the degree of contact-type defects. Five types of damaged samples were fabricated according to different freezing and thawing cycles, and the occurrence of opening or cracks on a micro-scale was visually verified via scanning electron microscopy. Dynamic modulus and wave velocity were also measured for a sensitivity comparison with the obtained nonlinearity parameter. The possibility of evaluating strength degradation was also investigated based on a simple correlation of the experimental results.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.11
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• pp.152-165
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• 1998

This study proposes the analysis and evaluation method of time series ultrasonic signal using the chaoral post-process system for precision rate enhancement of ultrasonic pattern recognition. Chaos features extracted from time series data for analysis quantitatively weld defects For this purpose, feature extraction objectives in this study are fractal dimension, Lyapunov exponent, shape of strange attrator. Trajectory changes in the strange attractor indicated that even same type of defects carried substantial difference in chaoticity resulting from distance shifts such as nearby 0.5, 1.0 skip distance. Such difference in chaoticity enables the evaluation of unique features of defects in the weld zone. In quantitative chaos fenture extraction, feature values of 0.835 and 0.823 in the case of slag inclusion and 0.609 and 0.573 in the case of crack were suggested on the basis of fractal dimension and Lyapunov exponent. Proposed chaoral post-process system in this study can enhances precision rate of ultrasonic pattern recognition results from defect signals of weld zone, such as slag inclusion and crack.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.625-627
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• 2022

In the construction and development of modern industrial production technology, the traditional technology management mode is faced with many problems such as low qualification rates and high application costs. In the research, an improved workpiece defect detection method based on deep learning is proposed, which can control the application cost and improve the detection efficiency of irregular defects. Based on the research of the current situation of deep learning applications, this paper uses the improved Faster R-CNN network structure model as the core detection algorithm to automatically locate and classify the defect areas of the workpiece. Firstly, the robustness of the model was improved by appropriately changing the depth and the number of channels of the backbone network, and the hyperparameters of the improved model were adjusted. Then the deformable convolution is added to improve the detection ability of irregular defects. The final experimental results show that this method's average detection accuracy (mAP) is 4.5% higher than that of other methods. The model with anchor size and aspect ratio (65,129,257,519) and (0.2,0.5,1,1) has the highest defect recognition rate, and the detection accuracy reaches 93.88%.

• Journal of the Korean Institute of Landscape Architecture
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• v.40 no.3
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• pp.81-90
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• 2012

Improvements in the quality of life have resulted in a heightened awareness of safety and the environment. As a result, timber as an environmentally friendly material, is used for landscape facilities and a wide range of purposes. But there are a large number of defects since there are twists and cracks that can be found in wooden landscape facilities. This has led to the use of imported hardwood instead of the Western Hemlock which has been in widespread use. Hardwood is expensive. However, it is being used without any information or research on how much it reduces the actual defects. Construction contractors are in great need of information on the characteristics and defect rates of different types of timber. This study investigated and analyzed the cracks in four types of timber - namely the Western Hemlock, Burckella, Nyatoh and Malas - in order to provide basic information to construction contractor for them to be able to select and use the appropriate type of timber. The main results of this study are as follows. First, the Western Hemlock had 1.90 $cracks/m^2$, Malas had 0.83 $cracks/m^2$, Burckella had 0.14 $cracks/m^2$, and the Nyatoh had the least number of surface defects at 0.04 $cracks/m^2$. Second, while Malas has the highest degree of strength timber, Nyatoh had the smallest defect rate. This showed that having high timber strength does not necessarily mean it has less defects. Third, the Western Hemlock was the least expensive and Burckella was the most expensive. However, considering the cost of repairing defects, it would be economically advantageous to use Burckella and Nyatoh which have low defect rates. This study aimed to provide basic information to landscape construction contractors for them to be able to select and use the appropriate type of timber when constructing wooden outdoor rest furniture. The results are expected to contribute to quality enhancements and defect reduction in landscape facilities.

• Environmental Engineering Research
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• v.11 no.2
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• pp.99-105
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• 2006

A digital ultrasonic image construction system was developed for the nondestructive detection of cracks in water distribution pipes. The system consists of PC based ultrasonic testing system and a scanning device. The PC based ultrasonic system has an ultrasonic pulse/receive board for the generation and reception of ultrasonic signals, an analogue to digital conversion board for the digitization of the received ultrasonic signals, and transducers for the ultrasonic sensors. Using this system, the digitized ultrasonic signals were properly constructed in accordance with the position information obtained by scanning device that moves an ultrasonic transducer along the outer surface of pipes. In the construction of the ultrasonic signals, signal processing concepts, such as spatial average and array concept, were considered to enhance the resolution of ultrasonic images of pipe wall. Using the developed system, crack detection experiments were performed in both laboratory and field, which shows promise for crack detection in the water distribution system.