• Title/Summary/Keyword: 구조건전성모니터링

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Guideline for the Diagnose of Geotechnical Structure (Underground Oil Storage Cavern) using a Microseismic Monitoring System (음향미소진동기반 모니터링 시스템을 이용한 지반구조물(유류 지하저장시설) 진단평가 가이드라인)

  • Cheon, Dae-Sung;Jung, Yong-Bok
    • Tunnel and Underground Space
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    • v.28 no.4
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    • pp.293-303
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    • 2018
  • Monitoring is the act of collecting and analyzing accurate engineering information using various methods and instruments. The purposes of the monitoring are design verification, construction management, quality control, safety management, and diagnose of structure etc.. The diagnose evaluation of the geotechnical structures corresponds to the confirmation of the structural performance. It is aimed to judge the soundness of geotechnical structures considering the degree of damage due to the environmental change and elapsed time. Recently, microseismicity, which is widely known in Korea, can be used for safety management and diagnoses of structure as it detects the micro-damage without disturbance of the structure. This report provides guideline on the procedure for assessing an underground oil storage cavern using microseismic monitoring techniques. Guidelines cover the selection of monitoring systems, sensor array, sensor installation and operation of systems, and interpretation.

Optical Fiber-Based Hybrid Nerve Measurement System for Static and Dynamic Behavior of Structures (구조물의 정적 및 동적 거동 모니터링을 위한 광섬유 기반 하이브리드 신경망 계측 시스템)

  • Park, Young-Soo;Song, Kwang-Yong;Jin, Seung-Seop;Park, Young-Hwan;Kim, Sung-Tae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.24 no.2
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    • pp.33-40
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    • 2020
  • Various studies have been conducted on the structural health monitoring using optical fiber. Optical fibers can be used to measure multiple and distributed strain. Among the optical fiber sensors, FBG sensor has advantages of dynamic response measurement and high precision, but the number of measurement points is limited. Distributed fiber sensors, represented by distributed Brillouin sensors, usually have more than 1000 measurement points, but the low sampling rate makes dynamic measurements impossible. In this study, a hybrid nerve sensor system using only the advantages of the FBG sensor and the distributed Brillouin sensor has been proposed. Laboratory experiments were performed to verify the proposed system, and the accuracy and reproducibility were verified by comparing with commercial sensors. Applying the proposed system, dynamic response ambient measurements are used to evaluate the global state of the structure. When an abnormal condition is detected, the local condition of the structure is evaluated by static response measurement using the distributed measurement system. The proposed system can be used for efficient structural health monitoring.

Damage Monitoring of PSC Girder Bridges based on Acceleration -Impedance Signals under Uncertain Temperature Conditions (불확실한 온도 조건하의 PSC 거더 교량의 가속도-임피던스기반 손상 모니터링)

  • Hong, Dong-Soo;Kim, Jeong-Tae
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.24 no.1
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    • pp.107-117
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    • 2011
  • In this study, the effect of temperature-induced uncertainty to damage monitoring using acceleration-impedance response features is analyzed for presterssed concrete(PSC) girder bridges. Firstly, a damage monitoring algorithm using global and local vibration features is designed. As global and local features, acceleration and electro-mechanical impedance features are selected respectively. Secondly, the temperature effect on the acceleration and impedance features for a lab-scaled PSC girder is experimentally analyzed. From the experimental results, compensation models for temperature-acceleration features and temperature-impedance features are estimated. Finally, the feasibility of the acceleration-impedance-based damage monitoring technique using the compensation model is evaluated in the PSC girder for which a set of prestress-loss and flexural stiffness loss cases were dynamically tested.

Active-Sensing Based Damage Monitoring of Airplane Wings Under Low-Temperature and Continuous Loading Condition (능동센서 배열을 이용한 저온 반복하중 환경 항공기 날개 구조물의 손상 탐지)

  • Jeon, Jun Young;Jung, Hwee kwon;Park, Gyuhae;Ha, Jaeseok;Park, Chan-Yik
    • Journal of the Korean Society for Nondestructive Testing
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    • v.36 no.5
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    • pp.345-352
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    • 2016
  • As aircrafts are being operated at high altitude, wing structures experience various fatigue loadings under cryogenic environments. As a result, fatigue damage such as a crack could be develop that could eventually lead to a catastrophic failure. For this reason, fatigue damage monitoring is an important process to ensure efficient maintenance and safety of structures. To implement damage detection in real-world flight environments, a special cooling chamber was built. Inside the chamber, the temperature was maintained at the cryogenic temperature, and harmonic fatigue loading was given to a wing structure. In this study, piezoelectric active-sensing based guided waves were used to detect the fatigue damage. In particular, a beamforming technique was applied to efficiently measure the scattering wave caused by the fatigue damage. The system was used for detection, growth monitoring, and localization of a fatigue crack. In addition, a sensor diagnostic process was also applied to ensure the proper operation of piezoelectric sensors. Several experiments were implemented and the results of the experiments demonstrated that this process could efficiently detect damage in such an extreme environment.

Shape Monitoring of Composite Cantilever Beam by Using Fiber Bragg Grating Sensors (광섬유 브래그 격자 센서를 이용한 복합재 외팔보의 형상 모니터링)

  • Lee, Kun-Ho;Kim, Dae-Hyun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.37 no.7
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    • pp.833-839
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    • 2013
  • In this study, an experiment was performed to monitor the two-dimensional shape of a cantilever composite structure using fiber Bragg grating (FBG) sensors. To monitor the shape of a composite structure, a deflection equation developed by NASA was applied and a composite beam attached to three FBG sensors was used. In the experiment, the shape of the composite beam was successfully estimated and an error was evaluated by comparing a real deflection. The error increased with real deflection; therefore, it was compensated by using the linear relationship between the error and the real deflection. After compensating the error, the measured deflection shows good agreement with the real deflection. Finally, the experiment shows that the FBG sensor and the deflection equation are suitable for monitoring the deflection curve of the beam structure with compensation of the error.

Cure Monitoring of Epoxy Resin by Using Fiber Bragg Grating Sensor (광섬유 브래그 격자 센서를 이용한 에폭시 수지의 경화도 모니터링)

  • Lee, Jin-Hyuk;Kim, Dae-Hyun
    • Journal of the Korean Society for Nondestructive Testing
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    • v.36 no.3
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    • pp.211-216
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    • 2016
  • In several industrial fields, epoxy resin is widely used as an adhesive for co-curing and manufacturing various structures. Controlling the manufacturing process is required for ensuring robust bonding performance and the stability of the structures. A fiber optic sensor is suitable for the cure monitoring of epoxy resin owing to the thready shape of the sensor. In this paper, a fiber Bragg grating (FBG) sensor was applied for the cure monitoring of epoxy resin. Based on the experimental results, it was demonstrated that the FBG sensor can monitor the status of epoxy resin curing by measuring the strain caused by volume shrinkage and considering the compensation of temperature. In addition, two types of epoxy resin were used for the cure-monitoring; moreover, when compared to each other, it was found that the two types of epoxy had different cure-processes in terms of the change of strain during the curing. Therefore, the study proved that the FBG sensor is very profitable for the cure-monitoring of epoxy resin.

Health Monitoring Method for Monopile Support Structure of Offshore Wind Turbine Using Committee of Neural Networks (군집 신경망기법을 이용한 해상풍력발전기 지지구조물의 건전성 모니터링 기법)

  • Lee, Jong Won;Kim, Sang Ryul;Kim, Bong Ki;Lee, Jun Shin
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.23 no.4
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    • pp.347-355
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    • 2013
  • A damage estimation method for monopile support structure of offshore wind turbine using modal properties and committee of neural networks is presented for effective structural health monitoring. An analytical model for a monopile support structure is established, and the natural frequencies, mode shapes, and mode shape slopes for the support structure are calculated considering soil condition and added mass. The input to the neural networks consists of the modal properties and the output is composed of the stiffness indices of the support structure. Multiple neural networks are constructed and each individual network is trained independently with different initial synaptic weights. Then, the estimated stiffness indices from different neural networks are averaged. Ten damage cases are estimated using the proposed method, and the identified damage locations and severities agree reasonably well with the exact values. The accuracy of the estimation can be improved by applying the committee of neural networks which is a statistical approach averaging the damage indices in the functional space.

Impedance-based Long-term Structural Health Monitoring for Tidal Current Power Plant Structure in Noisy Environments (잡음 환경 하에서의 전기-역학적 임피던스 기반 조류발전 구조물의 장기 건전성 모니터링)

  • Min, Ji-Young;Shim, Hyo-Jin;Yun, Chung-Bang;Yi, Jin-Hak
    • Journal of Ocean Engineering and Technology
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    • v.25 no.4
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    • pp.59-65
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    • 2011
  • In structural health monitoring (SHM) using electro-mechanical impedance signatures, it is a critical issue for extremely large structures to extract the best damage diagnosis results, while minimizing unknown environmental effects, including temperature, humidity, and acoustic vibration. If the impedance signatures fluctuate because of these factors, these fluctuations should be eliminated because they might hide the characteristics of the host structural damages. This paper presents a long-term SHM technique under an unknown noisy environment for tidal current power plant structures. The obtained impedance signatures contained significant variations during the measurements, especially in the audio frequency range. To eliminate these variations, a continuous principal component analysis was applied, and the results were compared with the conventional approach using the RMSD (Root Mean Square Deviation) and CC (Cross-correlation Coefficient) damage indices. Finally, it was found that this approach could be effectively used for long-term SHM in noisy environments.

Development of Structure Dynamic Characteristics Analysis System Prototype using Image Processing Technique (영상처리기법을 이용한 구조물 동특성 분석 시스템 프로토타입 개발)

  • Jo, Byung-Wan;Lee, Yun-Sung;Kim, Jung-Hoon;Kim, Do-Keun;Yoon, Kwang-Won
    • The Journal of the Korea Contents Association
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    • v.16 no.3
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    • pp.11-21
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    • 2016
  • Recently, structure safety management techniques using cutting-edge technology(Displacement senor, sensor of acceleration) has emerged as an important issue owing to the aging of infrastructure such as bridge and building. In general, the structural monitoring system for structure safety management is based on IT technology and it is expensive to install. In this paper developed an image-based structure dynamic characteristic analysis system prototype to assess the damage of structure in a more cost-effective way than traditional structure health monitoring system. The inspector can take a video of buildings or other structures with digital camera or any other devices that is passible to take video, and then using NCC calculation for image processing technique to get natural frequency. This system is analysis of damage of the structure using a compare between the frequency response ratio and functions when problems are occurs send alarm to administrator. This system is easier to install and remove than previous monitoring sensor in economical way.