• Title/Summary/Keyword: 구조안전점검

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Correlation Analysis of Load-carrying Capacity by Safety Inspection Indicators in Bridges (교량 안전점검 지표별 내하성능 상관관계 분석)

  • Jung, Kyu San;Seo, Dong Woo;Kim, Jae Hwan;Cho, Han Min;Park, Ki Tae;Shin, Yeon-Woo
    • Journal of Korean Society of Disaster and Security
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    • v.15 no.3
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    • pp.89-99
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    • 2022
  • Bridges are a key infrastructure that underpins economic and social activities. In Korea, bridges began to be built with economic development in the 1970s and were built intensively in the 1980s and 1990s. In recent years, as the number of bridges with a service life of more than 30 years is increasing, continuous maintenance is required to ensure the safety of the bridges. In particular, in order to cope with the aging of bridges, research on technology development such as maintenance using ICT technology, preventive maintenance, life cycle cost reduction, and long life bridge is being actively promoted. This paper presents the results of correlation analysis based on the safety evaluation data of bridges as part of the research on the development of a model for estimating load-carrying capacity of bridges. As a analysis result, indicators highly correlated with the load-carrying capacity of the bridge was derived.

A Study on the Safety Monitoring of Bridge Facilities based on Smart Sensors (스마트 센서 기반의 교량 시설물 안전 모니터링 기법 연구)

  • YEON, Sang-Ho;KIM, Joon-Soo;YEON, Chun-Hum
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.2
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    • pp.97-106
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    • 2019
  • Today, many smart sensor's measurement instruments are used to check the safety situation of various medium and large bridge structures that should be maintained in the construction facilities, but most of them use the method of measuring and confirming the displacement behavior of the bridge at regular intervals. In order to continuously check the safety situation, various measuring instruments are used, but most of them are not able to measure and measure the displacement and behavior of main construction structures at regular intervals. In this study, GNSS and environment smart sensors and drone's image data are transmitted to wireless network so that risk of many bridge's structures can be detected beforehand. As a result, by diagnosing the fine displacement of the bridge in real time and its condition, reinforcement, repair and disaster prevention measures for the structural parts of the bridges, which are expected to be dangerous, and various disasters and accidents can be prevented, and disaster can be prevented could suggest a new alternative.

Study on Structure Visual Inspection Technology using Drones and Image Analysis Techniques (드론과 이미지 분석기법을 활용한 구조물 외관점검 기술 연구)

  • Kim, Jong-Woo;Jung, Young-Woo;Rhim, Hong-Chul
    • Journal of the Korea Institute of Building Construction
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    • v.17 no.6
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    • pp.545-557
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    • 2017
  • The study is about the efficient alternative to concrete surface in the field of visual inspection technology for deteriorated infrastructure. By combining industrial drones and deep learning based image analysis techniques with traditional visual inspection and research, we tried to reduce manpowers, time requirements and costs, and to overcome the height and dome structures. On board device mounted on drones is consisting of a high resolution camera for detecting cracks of more than 0.3 mm, a lidar sensor and a embeded image processor module. It was mounted on an industrial drones, took sample images of damage from the site specimen through automatic flight navigation. In addition, the damege parts of the site specimen was used to measure not only the width and length of cracks but white rust also, and tried up compare them with the final image analysis detected results. Using the image analysis techniques, the damages of 54ea sample images were analyzed by the segmentation - feature extraction - decision making process, and extracted the analysis parameters using supervised mode of the deep learning platform. The image analysis of newly added non-supervised 60ea image samples was performed based on the extracted parameters. The result presented in 90.5 % of the damage detection rate.

A study on the classification of various defects in concrete based on transfer learning (전이학습 기반 콘크리트의 다양한 결함 분류에 관한 연구)

  • Younggeun Yoon;Taekeun Oh
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.2
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    • pp.569-574
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    • 2023
  • For maintenance of concrete structures, it is necessary to identify and maintain various defects. With the current method, there are problems with efficiency, safety, and reliability when inspecting large-scale social infrastructure, so it is necessary to introduce a new inspection method. Recently, with the development of deep learning technology for images, concrete defect classification research is being actively conducted. However, studies on contamination and spalling other than cracks are limited. In this study, a variety of concrete defect type classification models were developed through transfer learning on a pre-learned deep learning model, factors that reduce accuracy were derived, and future development directions were presented. This is expected to be highly utilized in the field of concrete maintenance in the future.

Analysis of Correlation between Freeze-Thaw Damage on Concrete and Chloride Penetration Acceleration Effect Using Surface Rebound Value (표면반발경도 활용 콘크리트 동해손상과 염분 침투 가속효과의 상관관계 분석)

  • Park, Ji-Sun;Lee, Jong-Suk
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.26 no.6
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    • pp.148-156
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    • 2022
  • Although most domestic concrete structures are simultaneously exposed to freeze-thaw and chloride environments, concrete durability in the field is evaluated by each single action, and the evaluation of chloride-caused damage of concrete requires additional indoor experimental analysis of chloride contents by coring samples from structures in the field. However, in Korea, policies to strengthen facility maintenance, such as 「Special Act on the Safety Control and Maintenance of Establishments」 and 「Framework Act on Sustainable Infrastructure Management」, have been established and implemented since 2018 and facilities subject to safety inspection management by the government and local governments increases, the effective simplification technology for the inspection and diagnosis of concrete structure is needed. Therefore, this study attempted to evaluate the possibility of determining the acceleration chloride penetration of freeze-thaw damaged concrete by using the surface rebound value. For this purpose, concrete specimens already having freeze-thaw damage by exposure to the freeze-thaw acceleration environment were immersed in chloride water. After that, the acceleration relationship of chloride penetration according to freeze-thaw damage was analyzed using the amount of chloride contents in concrete.

A Exploratory Case Study to Improve Student Pilots' Checklist Training with Correlation Analysis between Normal Checklist and Pilot Human Error (조종사 정상 체크리스트와 휴먼에러의 탐색적 사례연구를 통한 훈련방안 개선 연구 : General Aviation 학생조종사를 중심으로)

  • Lee, Gun-Young;Son, Byoung Wook;Park, Sung-Sik
    • Journal of Advanced Navigation Technology
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    • v.23 no.1
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    • pp.8-19
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    • 2019
  • Pilots have used checklist as a valuable tool to improve aviation safety and to reduce human error. A checklist however is too complex for a student pilot to use with less flight experience or time than a commercial pilot. It is agreed upon such complex checklist be a factor to threaten aviation safety for student pilots. This paper has focused on a checklist by dividing it into a couple of basic three flight procedures. Making exploratory case study of student pilots, researchers could analyze the correlation between checklist factors and those of human errors. First of all, it was necessary for student pilots to be educated professional knowledge regarding aircraft structures and engines to perform preflight inspection reducing human errors. Moreover it was recommended student pilots as well as maintenance crew confirm checklist together to enhance aviation safety.

Categorizing Safety Management Elements for Fire Preparation and Assessemnt of Fire Hazard (화재에 대비한 지하공간의 안전관리 요소분류 및 화재위험성 평가방안)

  • Bae, Yoonshin;Park, Jihye
    • Journal of the Society of Disaster Information
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    • v.7 no.2
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    • pp.96-109
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    • 2011
  • In this study, risk categorized five safety management elements(equipment and structure, evacuation, lifesaving and fire extinguishing, performance based fire safety plan, operations management) were classified in order to establish safety system of underground space. Using classified safety management elements, assessment of fire hazard was performed. After calculating the grade of evaluation categories, assessment of fire hazard was suggested. The three grades of evaluation categories are classified as to importance and four criteria of evaluation are classified as to check result based on subdivisions.

A Study on the Development of Checklist for Safety Management of Frequently occured Accident Process in Steel Structural Work (철골공사 재해다발공정의 안전관리를 위한 체크리스트 개발에 관한 연구)

  • Hong Hyun-Seok;Yeo Seong-Jin;Jeong Young-Heun;Kim Chang-Duk
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2004.11a
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    • pp.552-555
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    • 2004
  • As the scale of building construction is larger and more complex, accident is increasing on the steel structure work process. But Safety-Inspection has been carried out through many other checklists in the workplace, it hasn't been used actively. Because checklist wasn't written at the level of specific work and applied scope is Insufficient. So, we must grasp accidental cause about detailed work for making safety management checklist accurately. For this study, we are confining a range to steel structure work of all the building construction. We will classify steel structure process into the detailed work for preventing accident. And we will grasp accidental cause about detailed work for developing the checklist in the future.

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Propose of Elevator System for Effective Management based on IOT (IOT기반 효율적 관리를 위한 엘리베이터 시스템 제안)

  • Park, Joo-Bong;Shin, Seung-Jung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.6
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    • pp.163-167
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    • 2014
  • From Korea Elevator Safety Institute's report, the major accident factor of elevator is user's mistake, 60%. It means that the necessity of simple monitoring system. In this paper, we explain the standard of elevator safety check and the rate of accidents, then compare with old elevator managing system and new elevator managing system based on IOT technology. Also, we explain the reliability statistics of smart managing system based on expert's decision. Finally, we propose the smart managing system as the alternative method for decreasing the accident factor of elevator.

Optimum Service Life Management Based on Probabilistic Life-Cycle Cost-Benefit Analysis (확률론적 생애주기비용-이익분석 기반 수명관리 최적화 기법)

  • Kim, Sunyong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.4
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    • pp.19-25
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    • 2016
  • Engineering structures including civil infrastructures require a life-cycle cost and benefit during their service lives. The service life of a structure can be extended through appropriate inspection and maintenance actions. In general, this service life extension requires more life-cycle cost and cumulative benefit. For this reason, structure managers need to make a rational decision regarding the service life management considering both the cost and benefit simultaneously. In this paper, the probabilistic decision tool to determine the optimal service life based on cost-benefit analysis is presented. This decision tool requires an estimation of the time-dependent effective cost-benefit under uncertainty to formulate the optimization problem. The effective cost-benefit is expressed by the difference between the cumulative benefit and life-cycle cost of a deteriorating structure over time. The objective of the optimization problem is maximizing the effective cost-benefit, and the associated solutions are the optimal service life and maintenance interventions. The decision tool presented in this paper can be applied to any deteriorating engineering structure.