• 제목/요약/키워드: Damaged pipelines

검색결과 24건 처리시간 0.019초

고압 배관망에서 배관 손상에 의한 누출 및 관내 저압확장파의 전파 특성 해석 (Analysis of Propagation of Negative Pressure Wave Due to Leak Through Damaged Hole in High Pressure Piping System)

  • 김왕연;하종만;하태웅
    • 한국유체기계학회 논문집
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    • 제11권1호
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    • pp.26-32
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    • 2008
  • The safe operation of high pressure pipe line systems is of significant importance. Leaks due to faulty operation from the pipelines can lead to considerable product losses and to exposure of community to dangerous gases. There are several leak detection methods of pipeline network which have recently been suggested. The negative pressure wave detection technology, which has advantages of short time detection availability, accurate leaking location estimate capability and cost effective, is concentrated in this study. Theoretical analysis of the flow characteristics for leaking through a hole on the pipe wall has been performed by using Fluent 6.3, commercial CFD package. The results of 3-dimensional analysis near leaking hole confirm the occurrence of negative pressure wave, and the results of 2-dimensional analysis verify the characteristics of propagation of the wave which travels with speed equal to the speed of sound in the pipeline contents. Characteristics of leakage and pressure in a pipe with a hole have been analyzed for the various pipe and hole sizes.

재활용 PET 재료를 이용한 골재의 동상저감 효과 분석 및 경제성 평가 (Analysis of Frozen Reduction Effect and Economic Evaluation of Recycled PET-Soil)

  • 신은철;신희수;김기성
    • 한국지반신소재학회논문집
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    • 제13권4호
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    • pp.153-159
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    • 2014
  • 우리나라는 계절적 특성상 겨울철 지반동결과 봄철 해빙이 반복적으로 나타나 지반의 부등침하가 발생하고 이로 인해 철도나 도로, 상수관등의 구조물이 손상되거나 피해를 입는다. 이러한 현상을 방지하기 위해자갈 또는 잡석 등을 동상저감재로 이용하고 있다. 이 연구에서는 폐 PET를 가공하여 인공골재를 제작하고 이에 대한 공학적 특성 시험과 동상팽창실험을 통해 동상저감 대체 재료로 활용 가능여부를 판별하였다. 또한 동상저감 대체 재료로 폐 PET를 가공한 인공골재를 사용할 경우와 기존 재료를 사용할 경우의 경제성 비교를 통해 현장적용의 적절성에 대한 평가를 수행 하였다.

Reduced wavelet component energy-based approach for damage detection of jacket type offshore platform

  • Shahverdi, Sajad;Lotfollahi-Yaghin, Mohammad Ali;Asgarian, Behrouz
    • Smart Structures and Systems
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    • 제11권6호
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    • pp.589-604
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    • 2013
  • Identification of damage has become an evolving area of research over the last few decades with increasing the need of online health monitoring of the large structures. The visual damage detection can be impractical, expensive and ineffective in case of large structures, e.g., offshore platforms, offshore pipelines, multi-storied buildings and bridges. Damage in a system causes a change in the dynamic properties of the system. The structural damage is typically a local phenomenon, which tends to be captured by higher frequency signals. Most of vibration-based damage detection methods require modal properties that are obtained from measured signals through the system identification techniques. However, the modal properties such as natural frequencies and mode shapes are not such good sensitive indication of structural damage. Identification of damaged jacket type offshore platform members, based on wavelet packet transform is presented in this paper. The jacket platform is excited by simple wave load. Response of actual jacket needs to be measured. Dynamic signals are measured by finite element analysis result. It is assumed that this is actual response of the platform measured in the field. The dynamic signals first decomposed into wavelet packet components. Then eliminating some of the component signals (eliminate approximation component of wavelet packet decomposition), component energies of remained signal (detail components) are calculated and used for damage assessment. This method is called Detail Signal Energy Rate Index (DSERI). The results show that reduced wavelet packet component energies are good candidate indices which are sensitive to structural damage. These component energies can be used for damage assessment including identifying damage occurrence and are applicable for finding damages' location.

도시가스 배관압력 예측모델 (City Gas Pipeline Pressure Prediction Model)

  • 정원희;박길주;구영현;김성현;유성준;조영도
    • 한국전자거래학회지
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    • 제23권2호
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    • pp.33-47
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    • 2018
  • 도시가스 배관은 지중에 매설되어 있기 때문에 세부 관리가 어렵고 다양한 위험에 노출되어 있다. 본 연구에서는 도시가스 배관압력 실시간 데이터를 분석해 배관압력 이상을 예측하고 전문가의 의사결정을 돕는 모델을 제안한다. 국내 도시가스 공급업체들 중 하나인 중부도시가스사의 정압기에서 수집하는 실시간 배관압력 데이터와 시간변수, 외부환경변수를 통합해 분석 데이터로 사용한다. 아산시와 천안시에 위치하는 11개 정압기를 분석 대상으로 하며 분 단위 배관압력 예측모델을 구현한다. Random forest, support vector regression(SVR), long-short term memory(LSTM) 알고리즘을 사용해 회귀모델을 구현한 결과 LSTM 모델에서 우수한 성능을 보인다. 아산시 배관압력 예측모델의 경우 LSTM 모델에서 RMSE가 0.011, MAPE가 0.494이며, 천안시 배관압력 예측모델의 경우 LSTM 모델에서 평균제곱근오차(root mean square error, RMSE)가 0.015, 절대평균백분율오차(mean absolute percentage error, MAPE)가 0.668로 가장 낮은 오류율을 보인다.