Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
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Examination on Autonomous Recovery Algorithm of Piping System

배관 체계 자율 복구 알고리즘 비교, 분석 및 고찰

  • Yang, Dae Won (Department of Safety Engineering, Chungbuk National University) ;
  • Lee, Jeung-hoon (Department of Mechanical Engineering, Changwon National University) ;
  • Shin, Yun-Ho (Department of Safety Engineering, Chungbuk National University)
  • 양대원 (충북대학교 안전공학과) ;
  • 이정훈 (창원대학교 기계공학부) ;
  • 신윤호 (충북대학교 안전공학과)
  • Received : 2021.03.12
  • Accepted : 2021.08.06
  • Published : 2021.08.31
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Abstract

Piping systems comprising pumps and valves are essential in the power plant, oil, and defense industry. Their purpose includes a stable supply of the working fluid or ensuring the target system's safe operation. However, piping system accidents due to leakage of toxic substances, explosions, and natural disasters are prevalent In addition, with the limited maintenance personnel, it becomes difficult to detect, isolate, and reconfigure the damage of the piping system and recover the unaffected area. An autonomous recovery piping system can play a vital role under such circumstances. The autonomous recovery algorithms for the piping system can be divided into low-pressure control algorithms, hydraulic resistance control algorithms, and flow inventory control algorithms. All three methods include autonomous opening/closing logic to isolate damaged areas and recovery the unaffected area of piping systems. However, because each algorithm has its strength and weakness, appropriate application considering the overall design, vital components, and operating conditions is crucial. In this regard, preliminary research on algorithm's working principle, its design procedures, and expected damage scenarios should be accomplished. This study examines the characteristics of algorithms, the design procedure, and working logic. Advantages and disadvantages are also analyzed through simulation results for a simplified piping system.

Keywords

Acknowledgement

This research was supported by Chungbuk National University, Korea National University Development Project (2020).

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