• 제목/요약/키워드: Fault Safety

검색결과 819건 처리시간 0.03초

변위연성도 기반 원형철근콘크리트 교각의 내진성능 평가 (Displacement Ductility Based Seismic Performance Evaluation of Circular RC Bridge Piers)

  • 박창규;이대형;윤상철;정영수
    • 한국지진공학회:학술대회논문집
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    • 한국지진공학회 2006년도 학술발표회 논문집
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    • pp.276-283
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    • 2006
  • Korea is considered to be immune from the earthquake hazard because it is located far away from the active fault. However, recent earthquake caused a loss of lives and economical loss worldwide. Hence there has been raised an importance of the earthquake resistant design for various infrastructures. In this research, the seismic design and evaluation criterion for RC bridge pier were proposed from the experimental results of 82 circular RC bridge piers tested in domestic and aboard. New seismic criterion was introduced the limited ductile design provision suitable to Korean peninsula, which would be classified as a low or moderate seismic region. In addition, further important topic for the seismic safety of RC bridge piers in Korea is the seismic performance enhancement of RC bridge piers, which were designed and constructed before the 1992 seismic design provision. Therefore, the proposed seismic performance evaluation criterion could be very useful to judge seismic retrofit need or not according to the residual seismic performance of the RC bridge piers. Also, it could reduce an uncertainty for the safety of the infrastructure under earthquakes.

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F-RPN(Failure-RPN)을 이용한 장비 고장률 개선 연구: 반도체 식각 공정을 중심으로 (A Study on Machine Failure Improvement Using F-RPN(Failure-RPN): Focusing on the Semiconductor Etching Process)

  • 이형근;홍용민;강성우
    • 대한안전경영과학회지
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    • 제23권3호
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    • pp.27-33
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    • 2021
  • The purpose of this study is to present a novel indicator for analyzing machine failure based on its idle time and productivity. Existing machine repair plan was limited to machine experts from its manufacturing industries. This study evaluates the repair status of machines and extracts machines that need improvement. In this study, F-RPN was calculated using the etching process data provided by the 2018 PHM Data Challenge. Each S(S: Severity), O(O: Occurence), D(D: Detection) is divided into the idle time of the machine, the number of fault data, and the failure rate, respectively. The repair status of machine is quantified through the F-RPN calculated by multiplying S, O, and D. This study conducts a case study of machine in a semiconductor etching process. The process capability index has the disadvantage of not being able to divide the values outside the range. The performance of this index declines when the manufacturing process is under control, hereby introducing F-RPN to evaluate machine status that are difficult to distinguish by process capability index.

Mapping vertical bridge deformations to track geometry for high-speed railway

  • Gou, Hongye;Ran, Zhiwen;Yang, Longcheng;Bao, Yi;Pu, Qianhui
    • Steel and Composite Structures
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    • 제32권4호
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    • pp.467-478
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    • 2019
  • Running safety and ride comfort of high speed railway largely depend on the track geometry that is dependent on the bridge deformation. This study presents a theoretical study on mapping the bridge vertical deformations to the change of track geometry. Analytical formulae are derived through the theoretical analysis to quantify the track geometry change, and validated against the finite element analysis and experimental data. Based on the theoretical formulae, parametric studies are conducted to evaluate the effects of key parameters on the track geometry of a high speed railway. The results show that the derived formulae provide reasonable prediction of the track geometry change under various bridge vertical deformations. The rail deflection increases with the magnitude of bridge pier settlement and vertical girder fault. Increasing the stiffness of the fasteners or mortar layer tends to cause a steep rail deformation curve, which is undesired for the running safety and ride comfort of high-speed railway.

Risk Assessment for Marine Pilot Occupational Accidents using Fault Tree and Event Tree Analysis

  • Camliyurt, Gokhan;Choi, Sea-Am;Kim, So-Ra;Guzel, Ahmet Turgut;Park, Young-Soo
    • 한국항해항만학회지
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    • 제46권5호
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    • pp.400-408
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    • 2022
  • Maritime transportation is one of the most complicated and hazardous business fileds. Maritime accidents still occur despite several precautions since maritime is exposed to natural factors more than any other industries. In this harsh environment as a part of their job, marine pilots often embark/disembark to/ from vessels and confront life-endangering personal accidents. In the maritime field, several risk assessments are applied. However, all of them could not evaluate occupational accident risk for maritime pilot specifically. This paper performs specific risk analysis using the bow-tie method based on past accident records. This paper aims to qualify root causes and quantify root causes by importance level according to occurrence probability. As a result of analysis, occupational accident occurrence probability is found to be 14%, indicating that accident occurrence rate is significantly high. Hence, the probability of root causes triggering accidents and accident occurrence probability can be ascertained so that preventive measurements can be implemented. Besides theoretical achievement, this paper provides safety awareness to marine pilots, Marine Pilot Organizations, and ship crew who play a key role during marine pilots' transfer.

Approach towards qualification of TCP/IP network components of PFBR

  • Aditya Gour;Tom Mathews;R.P. Behera
    • Nuclear Engineering and Technology
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    • 제54권11호
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    • pp.3975-3984
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    • 2022
  • Distributed control system architecture is adopted for I&C systems of Prototype Fast Breeder Reactor, where the geographically distributed control systems are connected to centralized servers & display stations via switched Ethernet networks. TCP/IP communication plays a significant role in the successful operations of this architecture. The communication tasks at control nodes are taken care by TCP/IP offload modules; local area switched network is realized using layer-2/3 switches, which are finally connected to network interfaces of centralized servers & display stations. Safety, security, reliability, and fault tolerance of control systems used for safety-related applications of nuclear power plants is ensured by indigenous design and qualification as per guidelines laid down by regulatory authorities. In the case of commercially available components, appropriate suitability analysis is required for getting the operation clearances from regulatory authorities. This paper details the proposed approach for the suitability analysis of TCP/IP communication nodes, including control systems at the field, network switches, and servers/display stations. Development of test platform using commercially available tools and diagnostics software engineered for control nodes/display stations are described. Each TCP link behavior with impaired packets and multiple traffic loads is described, followed by benchmarking of the network switch's routing characteristics and security features.

Deep-learning-based system-scale diagnosis of a nuclear power plant with multiple infrared cameras

  • Ik Jae Jin;Do Yeong Lim;In Cheol Bang
    • Nuclear Engineering and Technology
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    • 제55권2호
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    • pp.493-505
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    • 2023
  • Comprehensive condition monitoring of large industry systems such as nuclear power plants (NPPs) is essential for safety and maintenance. In this study, we developed novel system-scale diagnostic technology based on deep-learning and IR thermography that can efficiently and cost-effectively classify system conditions using compact Raspberry Pi and IR sensors. This diagnostic technology can identify the presence of an abnormality or accident in whole system, and when an accident occurs, the type of accident and the location of the abnormality can be identified in real-time. For technology development, the experiment for the thermal image measurement and performance validation of major components at each accident condition of NPPs was conducted using a thermal-hydraulic integral effect test facility with compact infrared sensor modules. These thermal images were used for training of deep-learning model, convolutional neural networks (CNN), which is effective for image processing. As a result, a proposed novel diagnostic was developed that can perform diagnosis of components, whole system and accident classification using thermal images. The optimal model was derived based on the modern CNN model and performed prompt and accurate condition monitoring of component and whole system diagnosis, and accident classification. This diagnostic technology is expected to be applied to comprehensive condition monitoring of nuclear power plants for safety.

Seismic fragility analysis of base isolation reinforced concrete structure building considering performance - a case study for Indonesia

  • Faiz Sulthan;Matsutaro Seki
    • Structural Monitoring and Maintenance
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    • 제10권3호
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    • pp.243-260
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    • 2023
  • Indonesia has had seismic codes for earthquake-resistant structures designs since 1970 and has been updated five times to the latest in 2019. In updating the Indonesian seismic codes, seismic hazard maps for design also update, and there are changes to the Peak Ground Acceleration (PGA). Indonesian seismic design uses the concept of building performance levels consisting of Immediate occupancy (IO), Life Safety (LS), and Collapse Prevention (CP). Related to this performance level, cases still found that buildings were damaged more than their performance targets after the earthquake. Based on the above issues, this study aims to analyze the performance of base isolation design on existing target buildings and analyze the seismic fragility for a case study in Indonesia. The target building is a prototype design 8-story medium-rise residential building using the reinforced concrete moment frame structure. Seismic fragility analysis uses Incremental Dynamic Analysis (IDA) with Nonlinear Time History Analysis (NLTHA) and eleven selected ground motions based on soil classification, magnitude, fault distance, and earthquake source mechanism. The comparison result of IDA shows a trend of significant performance improvement, with the same performance level target and risk category, the base isolation structure can be used at 1.46-3.20 times higher PGA than the fixed base structure. Then the fragility analysis results show that the fixed base structure has a safety margin of 30% and a base isolation structure of 62.5% from the PGA design. This result is useful for assessing existing buildings or considering a new building's performance.

인공지능(AI) 기반 통합 공정안전관리 시스템 개발에 관한 연구 (A Study on the Development of integrated Process Safety Management System based on Artificial Intelligence (AI))

  • 이경현;백락준;김우수;최희정
    • 문화기술의 융합
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    • 제10권1호
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    • pp.403-409
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    • 2024
  • 본 논문에서는 산업안전보건법에 따라 유해·위험 설비 사업자가 제출하여 공정안전관리 전담기관으로부터 승인받은 공정안전보고서의 데이터를 기반으로 사업장 안전성 향상을 위한 인공지능 통합 공정안전관리(PSM) 시스템 설계를 위한 가이드라인을 제안하였다. 제안된 가이드라인으로 구성되는 시스템은 단일사업장 또는 다수의 사업장을 운영하는 사업자와 공정안전관리 전담기관에 각각 구축하며, 데이터 수집·전처리, 확장 및 분할, 레이블링, 학습 데이터 셋구축 등의 주요 구성 요소와 단계로 구성하였다. 각 공정에서 발생하는 공정 운영 데이터 및 변경 허가 승인 데이터의 수집이 가능하며, 사업장 운영에서 발생하는 모든 데이터의 분석을 통해 잠재적인 고장 예측 및 유지보수 계획을 수립하여, 공정 운전 상황에서의 의사 결정 지원이 가능하다. 또한, 정확하고 신뢰할 수 있는 학습 데이터, 특화된 데이터 셋을 이용하여 시간 및 비용 절감, 인적 오류를 포함한 다양한 위험 요소 감지와 예측, 지속적인 모델 개선 등에 유용성과 효과를 갖으며, 이를 통해 작업장 안전성 향상 및 사고 예방이 가능하다.

무선통신을 이용한 무인차량 원격감시설비 개발 및 적용에 관한 연구 (A Study on Development and Application of the Remote Driverless Vehicle Monitoring System by using Radio Communication)

  • 최재호;이종성;임창희
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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    • pp.3073-3078
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    • 2011
  • Driverless Train Control System has been recently introduced and commercialized in Korea. It is expected that the vehicle with driverless operation system will be used in new lines such as Sinbundang line soon. Therefore it is necessary to change the system operation and conception of the existing train operation system and the necessity of driverless vehicle monitoring system meeting a new paradigm is rising. In order to dispel concerning about safety issues caused by driverless train operation, the importance to establish vehicle error detection, useful fault diagnosis and rapid action plans is higher than ever. For this, efficient and higher level of vehicle supervision & control system should be essentially supported. In this study, remote driverless vehicle monitoring system using by radio communication is suggested to be used for monitoring and controlling important parts of the vehicle and diagnose and take quick actions when vehicles are in trouble at control tower at real time.

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스마트 센서를 이용한 선박용 승강기 실시간 모니터링 시스템의 구현 (Implementation of Real-time Monitoring System for Marine Elevator using Smart Sensors)

  • 이우진;임재홍
    • 한국멀티미디어학회논문지
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    • 제19권2호
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    • pp.405-410
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    • 2016
  • Elevator industry is a field that is mechanical, electrical and electronic technology and constantly requires inspection and maintenance considering various applications and various types. Recently, various elevator control and monitoring technologies with IT are developing for elevators on land. But technologies with IT have been hardly done in marine elevator that is consistently assured safety and reliability of life cycle for its parts in poor environment. In this paper, we implemented embedded main controller, floor controller and car controller that meet the requirements and use NMEA network protocol by analyzing home and abroad integrated elevator operation and management systems. Especially, we secured reliability of maintenance by real-time fault diagnosis and control that was implemented with limit switch, gyro sensor, temperature/humidity/barometric pressure sensor and fire detection sensor thinking over the environmental conditions of terrestrial and marine elevator.