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Prof. Seunghee Park
School of Civil, Architectural, and Environmental Engineering, Sungkyunkwan University, 2066, Seoburo, Jangangu, Suwon, Gyeonggido 16419, Korea

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Research Keywords & Expertise

0 Structural Health Monitoring
0 DAMAGE DETECTION
0 Non-destructive Evaluation
0 smart structures
0 smart sensors

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Journal article
Published: 23 November 2018 in Applied Sciences
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Terrestrial laser scanning (TLS) provides a rapid remote sensing technique to model 3D objects but can also be used to assess the surface condition of structures. In this study, an effective image processing technique is proposed for crack detection on images extracted from the octree structure of TLS data. To efficiently utilize TLS for the surface condition assessment of large structures, a process was constructed to compress the original scanned data based on the octree structure. The point cloud data obtained by TLS was converted into voxel data, and further converted into an octree data structure, which significantly reduced the data size but minimized the loss of resolution to detect cracks on the surface. The compressed data was then used to detect cracks on the surface using a combination of image processing algorithms. The crack detection procedure involved the following main steps: (1) classification of an image into three categories (i.e., background, structural joints and sediments, and surface) using K-means clustering according to color similarity, (2) deletion of non-crack parts on the surface using improved subtraction combined with median filtering and K-means clustering results, (3) detection of major crack objects on the surface based on Otsu’s binarization method, and (4) highlighting crack objects by morphological operations. The proposed technique was validated on a spillway wall of a concrete dam structure in South Korea. The scanned data was compressed up to 50% of the original scanned data, while showing good performance in detecting cracks with various shapes.

ACS Style

Soojin Cho; Seunghee Park; Gichun Cha; Taekeun Oh. Development of Image Processing for Crack Detection on Concrete Structures through Terrestrial Laser Scanning Associated with the Octree Structure. Applied Sciences 2018, 8, 2373 .

AMA Style

Soojin Cho, Seunghee Park, Gichun Cha, Taekeun Oh. Development of Image Processing for Crack Detection on Concrete Structures through Terrestrial Laser Scanning Associated with the Octree Structure. Applied Sciences. 2018; 8 (12):2373.

Chicago/Turabian Style

Soojin Cho; Seunghee Park; Gichun Cha; Taekeun Oh. 2018. "Development of Image Processing for Crack Detection on Concrete Structures through Terrestrial Laser Scanning Associated with the Octree Structure." Applied Sciences 8, no. 12: 2373.

Journal article
Published: 02 July 2018 in Energies
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Owing to the large ratio of consumption in the building sector, energy-saving strategies are required. Energy feedback is an energy-saving strategy that prompts consumers to change their energy-consumption behaviors. The strategy has been principally focused on providing energy-consumption information. However, the realization of energy savings using only consumption information remains limited. In this paper, a building-energy, three-dimensional (3D) visualization solution is thus proposed. The aim is to determine if the building manager will replace the facility after our recommendation to improve the building-energy efficiency derived from the energy information is given. This solution includes the process of diagnosing a building and providing a prediction of energy requirements if a building improvement effort is undertaken. Accurate diagnostic information is provided by real-time measurement data from sensors and building models using a close-range photogrammetry method, without depending on blueprints. The information is provided by employing visualization effects to increase the energy-feedback efficiency. The proposed strategy is implemented on two testbeds, and building diagnostics are performed accordingly. For the first testbed, the predicted energy improvement amount resulting from the facility upgrade is provided. The second testbed is provided with a 3D visualization of the energy information. The predicted value of energy improvement was derived from the improvement plan through energy diagnosis in each testbed as about 30% and as about 28%, respectively. Unlike existing systems, which provide only ambiguous data that lack quantitative information, this study is meaningful because it provides energy information with the aid of visualization effects before and after building improvements.

ACS Style

Tae-Keun Oh; Donghwan Lee; Minsoo Park; Gichun Cha; Seunghee Park. Three-Dimensional Visualization Solution to Building-Energy Diagnosis for Energy Feedback. Energies 2018, 11, 1736 .

AMA Style

Tae-Keun Oh, Donghwan Lee, Minsoo Park, Gichun Cha, Seunghee Park. Three-Dimensional Visualization Solution to Building-Energy Diagnosis for Energy Feedback. Energies. 2018; 11 (7):1736.

Chicago/Turabian Style

Tae-Keun Oh; Donghwan Lee; Minsoo Park; Gichun Cha; Seunghee Park. 2018. "Three-Dimensional Visualization Solution to Building-Energy Diagnosis for Energy Feedback." Energies 11, no. 7: 1736.

Preprint
Published: 17 May 2018
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Owing to the large ratio of consumption in the building sector, energy saving strategies are required. Energy feedback is an energy-saving strategy that consumers to change their energy-consumption behaviors. The strategy has been principally focused on providing energy-consumption information. However, realization of energy savings using only consumption information remains limited. In this paper, a building-energy three-dimensional (3D) visualization solution is thus proposed. This solution includes the process of diagnosing a building and providing prediction of energy requirements if a building improvement is undertaken. Accurate diagnostic information is provided by real-time measurement data from sensors and building models using a close-range photogrammetry (CRP) method without depending on blueprints. The information is provided by employing visualization effects to increase the energy-feedback efficiency. The proposed strategy is implemented on two testbeds, and building diagnostics are performed accordingly. For the first testbed, the predicted energy improvement amount resulting from the facility upgrade is provided. The second testbed is provided with a 3D visualization of the energy information. The aim is to determine if the building manager will replace the facility after our recommendation is given to improve the building energy efficiency driven from the energy information. Unlike existing systems, which provide only ambiguous data that lack quantitative information, this study is meaningful because it provides energy information with the aid of visualization effects before and after building improvements.

ACS Style

Tae-Keun Oh; Donghwan Lee; Minsoo Park; Gichun Cha; Seunghee Park. 3D Visualization Solution to Building Energy Diagnosis for Energy Feedback. 2018, 1 .

AMA Style

Tae-Keun Oh, Donghwan Lee, Minsoo Park, Gichun Cha, Seunghee Park. 3D Visualization Solution to Building Energy Diagnosis for Energy Feedback. . 2018; ():1.

Chicago/Turabian Style

Tae-Keun Oh; Donghwan Lee; Minsoo Park; Gichun Cha; Seunghee Park. 2018. "3D Visualization Solution to Building Energy Diagnosis for Energy Feedback." , no. : 1.

Case report
Published: 21 August 2017 in Energies
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As part of a preliminary hazard analysis for a new phenol plant, the results of a hazard and operability study (HAZOP) conducted in the initial stages of the project design were re-evaluated due mechanical failure detected during the test operation. Out of the possible mechanical defects for the crude phenol column (CPC), the fact that the lowest risk grade was given to the column without consideration for any safety devices, was recognized as the cause of failure. After examining the design specifications of the safety valves of CPC, it was confirmed that the tube rupture case of the overhead condenser was also not taken into consideration. With this case included in HAZOP, the size of the safety valve had to be increased from 6Q8 to 8T10. In summary, when taking into consideration the economic impact on modification and re-purchase of the safety valve and the redesign of the piping system might have, it was determined that completely removing any possibility for the tube rupture case by mechanically reinforcing the overhead condenser would be the most economic decision. Therefore, the overhead condenser was mechanically reinforced in areas determined to require strengthening according to the results of the vibration analysis, and by adding these results to the safety device factors of the mechanical defects of CPC, the lowest safety risk grade could have been maintained.

ACS Style

In-Bok Lee; Seunghee Park. Improving Tube Design of a Problematic Heat Exchanger for Enhanced Safety at Minimal Costs. Energies 2017, 10, 1236 .

AMA Style

In-Bok Lee, Seunghee Park. Improving Tube Design of a Problematic Heat Exchanger for Enhanced Safety at Minimal Costs. Energies. 2017; 10 (8):1236.

Chicago/Turabian Style

In-Bok Lee; Seunghee Park. 2017. "Improving Tube Design of a Problematic Heat Exchanger for Enhanced Safety at Minimal Costs." Energies 10, no. 8: 1236.

Journal article
Published: 26 May 2017 in Sensors
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In this study, a non-contact laser ultrasonic propagation imaging technique was applied to detect the damage of plate-like structures. Lamb waves were generated by an Nd:YAG pulse laser system, while a galvanometer-based laser scanner was used to scan the preliminarily designated area. The signals of the structural responses were measured using a piezoelectric sensor attached on the front or back side of the plates. The obtained responses were analyzed by calculating the root mean square (RMS) values to achieve the visualization of structural defects such as crack, corrosion, and so on. If the propagating waves encounter the damage, the waves are scattered at the damage and the energy of the scattered waves can be expressed by the RMS values. In this study, notch and corrosion were artificially formed on aluminum plates and were considered as structural defects. The notches were created with different depths and angles on the aluminum plates, and the corrosion damage was formed with different depths and areas. To visualize the damage more clearly, edge detection methodologies were applied to the RMS images and the feasibility of the methods was investigated. The results showed that most of the edge detection methods were good at detecting the shape and/or the size of the damage while they had poor performance of detecting the depth of the damage.

ACS Style

Changgil Lee; Aoqi Zhang; Byoungjoon Yu; Seunghee Park. Comparison Study between RMS and Edge Detection Image Processing Algorithms for a Pulsed Laser UWPI (Ultrasonic Wave Propagation Imaging)-Based NDT Technique. Sensors 2017, 17, 1224 .

AMA Style

Changgil Lee, Aoqi Zhang, Byoungjoon Yu, Seunghee Park. Comparison Study between RMS and Edge Detection Image Processing Algorithms for a Pulsed Laser UWPI (Ultrasonic Wave Propagation Imaging)-Based NDT Technique. Sensors. 2017; 17 (6):1224.

Chicago/Turabian Style

Changgil Lee; Aoqi Zhang; Byoungjoon Yu; Seunghee Park. 2017. "Comparison Study between RMS and Edge Detection Image Processing Algorithms for a Pulsed Laser UWPI (Ultrasonic Wave Propagation Imaging)-Based NDT Technique." Sensors 17, no. 6: 1224.