• Title/Summary/Keyword: 파손선도

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Investigation of the Internal Structure and Gold-thin Layer of the Gilt-bronze Seated Avalokitesvara Bodhisattva at Anseong Cheonryong Temple through the Non-destructive Analysis (비파괴 분석법을 통한 안성 청룡사 금동관음보살좌상 내부구조 및 금박층 조사)

  • Choi, Jung Eun;Choi, Hak
    • Journal of Conservation Science
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    • v.37 no.6
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    • pp.670-678
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    • 2021
  • Anseong Cheonryongsa, a temple located in Anseong Seoun Mountain, is a part of the second Jogye Order of Korean Buddhism, under the Yongju Temple, and enshrines a gilt-bronze seated Avalokitesvara Bodhisattva. In this study, X-ray fluorescence (XRF) analysis revealed that this statue is composed of Cu-27.2 wt%, Sn-12.6 wt% and Pb-48 wt%. A gamma (γ) ray (Ir-192) image confirmed damage on the backside of the statue, which was later repaired with wood. The XRF analysis and visual observation determined the boundary between the metal and wood in the statue. In addition, results of standard X-ray peak intensity of gold foil and correlation with thickness helped to derive an equation for calculating the thickness of the Avalokitesvara Bodhisattva's gold foil. It was determined that the gilded chest (21 ㎛) and face (20.7 ㎛) of the statue were the thickest sections, the wooden substratum (11.9 ㎛) was the next-most thick, and the bronze (7.4 ㎛) was the thinnest layer.

Development of disc cutter wear sensor prototype and its verification for ensuring construction safety of utility cable tunnels (전력구 터널 건설안전 확보를 위한 디스크커터 마모측정시스템 시작품 개발 및 성능검증)

  • Jung Joo Kim;Hee Hwan Ryu;Seung Woo Song;Seung Chul Do;Ji Yun Lee;Ho Young Jeong
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.26 no.2
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    • pp.91-111
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    • 2024
  • Most of utility cable tunnels are constructed utilizing shield TBM as part of the underground transmission line project. The TBM chamber is the only space inside the tunnel that encounters rock and soil, and is the place with the highest frequency of accident exposure, such as collapse and collision accidents. Since there is currently no way to measure the disc cutter wear from outside the chamber, frequent inspection by workers is essential. Accordingly, in this study, in order to prevent safety accidents inside the TBM chamber and expect the effect of shortening the construction period by reducing the number of chamber openings, the concept of disk cutter wear measurement technology was established and a prototype was produced. By considering prior technology and determining that magnetic sensors are most suitable for the excavation environment, wear measurement sensor package were developed integrating magnetic sensors, wireless communication modules, power supply, external casing, and monitoring systems. To verify the performance of the prototype in an actual excavation environment, a full-scale tunnelling test was performed using a 3.6 m EPB shield TBM. Based on the full-scale tests, five prototypes were operated normally among eight prototypes. It was analyzed that sensor measurement, wireless communication, and durability performance were secured within a maximum thrust of 3,000 kN and a rotation speed of 1.5 RPM.

Development of deep learning algorithm for classification of disc cutter wear condition based on real-time measurement data (실시간 측정데이터 기반의 디스크커터 마모상태 판별 딥러닝 알고리즘 개발)

  • Ji Yun Lee;Byung Chul Yeo;Ho Young Jeong;Jung Joo Kim
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.26 no.3
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    • pp.281-301
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    • 2024
  • The power cable tunnels which are part of the underground transmission line project, are constructed using the shield TBM method. The disc cutter among the shield TBM components plays an important role in breaking rock mass. Efficient tunnel construction is possible only when appropriate replacement occurs as the wear limit is reached or damage such as uneven wear occurs. A study was conducted to determine the wear conditions of disc cutter using a deep learning algorithm based on real-time measurement data of wear and rotation speed. Based on the results of full-scaled tunnelling tests, it was confirmed that measurement data was obtained differently depending on the wear conditions of disc cutter. Using real-time measurement data, an algorithm was developed to determine disc cutter wear characteristics based on a convolutional neural network model. Distributional patterns of data can be learned through CNN filters, and the performance of the model that can classify uniform wear and uneven wear through these pattern features.

A Study of the Dried-lacquer Amitabha Buddha Statue from Simhyangsa Temple (심향사 극락전 협저 아미타불의 제작기법에 관한 연구)

  • Jeong, Ji-Yeon;Motoya, Myochin
    • Korean Journal of Heritage: History & Science
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    • v.47 no.1
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    • pp.134-151
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    • 2014
  • This paper deals with a review of the structure and production techniques of the Dried-lacquer Amitabha Buddha statue enshrined in Geungnakjeon Hall of Simhyangsa Temple, located in Daeho-dong, Naju-si, Jeollanam-do, Korea. To achieve this goal, X-ray date and two rounds of field research were performed. The data collected were reviewed, and a sample peeled off from the damaged part was analyzed to investigate the structure and material of the background layer. The results revealed that the Simhyangsa Temple Buddha statue was an almost empty Dried-lacquer(Hyeopjeo) Buddha statue where wood core had not been framed and inserted in the statue. It was thus observed that considering that the clothes wrinkles clearly remained, the same one as the irregularity of the outer clothes wrinkles, the Dried-lacquer layer was lifted made in an almost complete shape in the process of forming the clay figure as the origin form. The statue was found to be diagonally incised from the top of the head to the back of the neck to remove the clay and wood core. But in other sites, no incision was confirmed. It was observed that on the site of the head where the incision was made, an adhesives(lacquer or paste) was used. In addition, the black eyes were impacted with beads and the ears, hands, bands, and knots were made of wood. These features are identically shown in the Dried-lacquer Amitabha Buddha statue from Seonguksa Temple, known as a work of the late Goryeo dynasty; the Seated Dried-lacquer Buddha statue in Okura Museum of Art in Tokyo, Japan; the Seated Dried-lacquer Amitabha Buddha statue from Jungnimsa Temple, know as a work of the early Joseon dynasty; and the Seated Vairocana Buddha statue in Bulhoesa Temple, the Seated Dried-lacquer Amitabha Buddha and the Seated Dried-lacquer Buddha statue from Silsangsa Temple. The analysis of the back layer demonstrated that the ground layer and the red lacquer were the production of the time. In particular, the bone ash used for the ground layer was also coated for the ground layer of Buddha statues as well as for the production of the lacquerware during the Goryeo dynasty. It was also found that gold mending was conducted more than twice even in modern times and that the layer of the production time was well preserved despite gold mending several times.

Strategies of Car-Ferry Shipping Companies According to the Korea-China Free Trade Agreement (한·중 FTA 체결에 따른 수도권항만 카페리선사의 발전방안)

  • Park, Sung-Eun;Ahn, Seung-Bum
    • Journal of Korea Port Economic Association
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    • v.34 no.1
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    • pp.111-132
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    • 2018
  • As China continues to evolve as a major economic power and the Free Trade Agreement (FTA) between the Republic of Korea and China was ratified on June 1, 2015, market volume between the two countries is expected to grow more rapidly. This study aims on improving the efficiency of car-ferry lines. We conducted two surveys- for shippers and forwarders of car-ferry companies, and container liners. The study analyzes the decision factors for delivery companies and their importance for shippers and forwarders of car-ferry companies and container liners. Based on analysis of prior studies on the competition for car-ferry companies and liners, three primary variables are selected-promptness, economics, and safety. The promptness variable consists of shipping time, loading/unloading time, and customs clearing time. The economic variable consists of marine transportation cost from a domestic harbor to China, loading/unloading cost in the harbor, and overland transport cost from the harbor to shippers inland. Finally, the safety variable consists of cargo damage rates, safety facilities, such as lashing and shoring, and punctuality of transportation time. The survey and AHP results show that the promptness, safety, and economics factors are 0.549, 0.309, and 0.142 in the shipper groups of car-ferry companies' category, respectively. It indicates that there is considerable difference in the importance of each factor. In contrast, the factors are 0.350, 0.348, and 0.302 in the forwarders category, which suggests that there is little difference in each factor's importance. As for shippers and forwarders of liners, the importance of each factor is found to be in the following order: economics, safety, and promptness.

Risk Ranking Analysis for the City-Gas Pipelines in the Underground Laying Facilities (지하매설물 중 도시가스 지하배관에 대한 위험성 서열화 분석)

  • Ko, Jae-Sun;Kim, Hyo
    • Fire Science and Engineering
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    • v.18 no.1
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    • pp.54-66
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    • 2004
  • In this article, we are to suggest the hazard-assessing method for the underground pipelines, and find out the pipeline-maintenance schemes of high efficiency in cost. Three kinds of methods are applied in order to refer to the approaching methods of listing the hazards for the underground pipelines: the first is RBI(Risk Based Inspection), which firstly assess the effect of the neighboring population, the dimension, thickness of pipe, and working time. It enables us to estimate quantitatively the risk exposure. The second is the scoring system which is based on the environmental factors of the buried pipelines. Last we quantify the frequency of the releases using the present THOMAS' theory. In this work, as a result of assessing the hazard of it using SPC scheme, the hazard score related to how the gas pipelines erodes indicate the numbers from 30 to 70, which means that the assessing criteria define well the relative hazards of actual pipelines. Therefore. even if one pipeline region is relatively low score, it can have the high frequency of leakage due to its longer length. The acceptable limit of the release frequency of pipeline shows 2.50E-2 to 1.00E-l/yr, from which we must take the appropriate actions to have the consequence to be less than the acceptable region. The prediction of total frequency using regression analysis shows the limit operating time of pipeline is the range of 11 to 13 years, which is well consistent with that of the actual pipeline. Concludingly, the hazard-listing scheme suggested in this research will be very effectively applied to maintaining the underground pipelines.

Numerical Prediction for Fluidized Bed Chlorination Reaction of Ilmenite Ore (일메나이트광의 유동층 염화반응에 대한 수치적 예측)

  • Chung, Dong-Kyu;Jung, Eun-Jin;Lee, Mi Sun;Kim, Jinyoung;Song, Duk-Yong
    • Clean Technology
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    • v.25 no.2
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    • pp.107-113
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    • 2019
  • Numerical model that considered the shrinking core model and elutriation and degradation of particles was developed to predict selective chlorination of ilmenite and carbo-chlorination of $TiO_2$ in a two stage fluidized bed chlorination furnace. It is possible to analyze the fluidized bed chlorination reaction to be able to reflect particle distribution for mass balances and the chlorination reaction. The numerical model showed an accuracy with error less than 6% compared with fluidized bed experiments. The chlorination degree with particle size change was greater with a smaller particle size, and there was a 100 min difference to obtain a chlorination degree of 1 between $75{\mu}m$ and $275{\mu}m$. This was not shown to such a great extent with variation of temperature ($800{\sim}1000^{\circ}C$), and there was only a 10 min difference to obtain a chlorination degree of 0.9. In the first selective chlorination process, the mass reduction rate approached to the theoretical value of 0.4735 after 180 min, and chlorination changed the Fe component into $FeCl_2$ or $FeCl_3$ and showed nearly 1. In the second carbo-chlorination process, the chlorination degree of $TiO_2$ approached 0.98 and the mass fraction reached 0.02 with conversion into $TiCl_4$. In the first selective chlorination process, 98% of $TiO_2$ was produced at 180 min, and this was changed into 99% of $TiCl_4$ after an additional 90 min. Also the mass reduction rate of $TiO_2$ was reduced to 99% in the second continuous carbo-chlorination process.

Regeneration of a defective Railroad Surface for defect detection with Deep Convolution Neural Networks (Deep Convolution Neural Networks 이용하여 결함 검출을 위한 결함이 있는 철도선로표면 디지털영상 재 생성)

  • Kim, Hyeonho;Han, Seokmin
    • Journal of Internet Computing and Services
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    • v.21 no.6
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    • pp.23-31
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    • 2020
  • This study was carried out to generate various images of railroad surfaces with random defects as training data to be better at the detection of defects. Defects on the surface of railroads are caused by various factors such as friction between track binding devices and adjacent tracks and can cause accidents such as broken rails, so railroad maintenance for defects is necessary. Therefore, various researches on defect detection and inspection using image processing or machine learning on railway surface images have been conducted to automate railroad inspection and to reduce railroad maintenance costs. In general, the performance of the image processing analysis method and machine learning technology is affected by the quantity and quality of data. For this reason, some researches require specific devices or vehicles to acquire images of the track surface at regular intervals to obtain a database of various railway surface images. On the contrary, in this study, in order to reduce and improve the operating cost of image acquisition, we constructed the 'Defective Railroad Surface Regeneration Model' by applying the methods presented in the related studies of the Generative Adversarial Network (GAN). Thus, we aimed to detect defects on railroad surface even without a dedicated database. This constructed model is designed to learn to generate the railroad surface combining the different railroad surface textures and the original surface, considering the ground truth of the railroad defects. The generated images of the railroad surface were used as training data in defect detection network, which is based on Fully Convolutional Network (FCN). To validate its performance, we clustered and divided the railroad data into three subsets, one subset as original railroad texture images and the remaining two subsets as another railroad surface texture images. In the first experiment, we used only original texture images for training sets in the defect detection model. And in the second experiment, we trained the generated images that were generated by combining the original images with a few railroad textures of the other images. Each defect detection model was evaluated in terms of 'intersection of union(IoU)' and F1-score measures with ground truths. As a result, the scores increased by about 10~15% when the generated images were used, compared to the case that only the original images were used. This proves that it is possible to detect defects by using the existing data and a few different texture images, even for the railroad surface images in which dedicated training database is not constructed.

Dismantling and Restoration of the Celadon Stool Treasure with an Openwork Ring Design (보물 청자 투각고리문 의자의 해체 및 복원)

  • KWON, Ohyoung;LEE, Sunmyung;LEE, Jangjon;PARK, Younghwan
    • Korean Journal of Heritage: History & Science
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    • v.55 no.2
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    • pp.200-211
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    • 2022
  • The celadon stools with an openwork ring design which consist of four items as one collection were excavated from Gaeseong, Gyeonggi-do Province. The celadon stools were designated and managed as treasures due to their high arthistorical value in the form of demonstrating the excellence of celadon manufacturing techniques and the fanciful lifestyles during the Goryeo Dynasty. However, one of the items, which appeared to have been repaired and restored in the past, suffered a decline in aesthetic value due to the aging of the treatment materials and the lack of skill on the part of the conservator, raising the need for re-treatment as a result of structural instability. An examination of the conservation condition prior to conservation treatment found structural vulnerabilities because physical damage had been artificially inflicted throughout the area that was rendered defective at the time of manufacturing. The bonded surfaces for the cracked areas and detached fragments did not fit, and these areas and fragments had deteriorated because the adhesive trickled down onto the celadon surface or secondary contaminants, such as dust, were on the adhesive surface. The study identified the position, scope, and conditions of the bonded areas at the cracks UV rays and microscopy in order to investigate the condition of repair and restoration. By conducting Fourier-transform infrared spectroscopy(FT-IR) and portable x-ray fluorescence spectroscopy on the materials used for the former conservation treatment, the study confirmed the use of cellulose resins and epoxy resins as adhesives. Furthermore, the analysis revealed the addition of gypsum(CaSO4·2H2O) and bone meal(Ca10 (PO4)6(OH)2) to the adhesive to increase the bonding strength of some of the bonded areas that sustained force. Based on the results of the investigation, the conservation treatment for the artifact would focus on completely dismantling the existing bonded areas and then consolidating vulnerable areas through bonding and restoration. After removing and dismantling the prior adhesive used, the celadon stool was separated into 6 large fragments including the top and bottom, the curved legs, and some of the ring design. After dismantling, the remaining adhesive and contaminants were chemically and physically removed, and a steam cleaner was used to clean the fractured surfaces to increase the bonding efficacy of the re-bonding. The bonding of the artifact involved applying the adhesive differently depending on the bonding area and size. The cyanoacrylate resin Loctite 401 was used on the bonding area that held the positions of the fragments, while the acrylic resin Paraloid B-72 20%(in xylene) was treated on cross sections for reversibility in the areas that provided structural stability before bonding the fragments using the epoxy resin Epo-tek 301-2. For areas that would sustain force, as in the top and bottom, kaolin was added to Epo-tek 301-2 in order to reinforce the bonding strength. For the missing parts of the ring design where a continuous pattern could be assumed, a frame was made using SN-sheets, and the ring design was then modeled and restored by connecting the damaged cross section with Wood epos. Other restoration areas that occurred during bonding were treated by being filled with Wood epos for aesthetic and structural stabilization. Restored and filled areas were color-matched to avoid the feeling of disharmony from differences of texture in case of exhibitions in the future. The investigation and treatment process involving a variety of scientific technology was systematically documented so as to be utilized as basic data for the conservation and maintenance.