Journal of Advanced Marine Engineering and Technology

  • 제40권4호
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  • Pages.288-294
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  • 2016
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  • 2234-7925(pISSN)
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  • 2234-8352(eISSN)
한국마린엔지니어링학회 (The Korean Society of Marine Engineering)
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스트레인 게이지를 이용한 5만 DWT급 석유화학제품운반선의 베어링 반력 및 선체변형량 분석에 관한 연구

A study on the analysis of bearing reaction forces and hull deflections affecting shaft alignment using strain gauges for a 50,000 DWT oil/chemical tanker

  • 투고 : 2016.02.01
  • 심사 : 2016.05.26
  • 발행 : 2016.05.31
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초록

선박이 고출력화, 대형화 됨에 따라 추진축의 강성은 증가한 반면에 선체는 고장력 후판을 사용하므로 이전의 선체보다 훨씬 더 쉽게 변형되는 실정이다. 이는 기존의 선박보다 더욱 정교한 축계정렬이 요구됨을 의미한다. 본 연구에서는 최근 친환경 고효율 선박으로 등장한 5만DWT급 석유화학제품운반선을 대상으로 스트레인게이지법을 이용한 계측을 실시하고 축계 베어링 반력 및 선체 변형량 분석을 수행하였다. 계측은 선박의 통상 흘수 변화를 고려한 5개 조건에서 수행하여 추진축계가 선체 변형의 영향 하에서도 허용치를 만족하는지 여부를 확인하였다. 또한 이론적 계산방법, 잭업법 및 스트레인게이지법의 결과를 상호 비교하여 해석의 신뢰성을 교차검증하였다.

In modern ships, the shafting system often becomes stiff owing to the high engine power, whereas the hull structure becomes more flexible owing to optimization using high-tensile-strength thick steel plates; therefore, more sophisticated shaft alignments are required. In this study, strain gauge-based measurement was conducted under five vessel operating conditions and bearing reaction forces and hull deflections affecting shaft alignment were analyzed for a 50,000 dead weight tonnage oil/chemical tanker that has gained repute as an eco-friendly vessel in recent years. Furthermore, the analytical results from each technique-theoretical calculation, jacking ups, and strain gauges-were cross-checked against each other in order to enhance the degree of accuracy and reliability of the calculation.

키워드

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피인용 문헌

  1. The Effect of Transient Eccentric Propeller Forces on Shaft Behavior Measured Using the Strain Gauge Method During Starboard Turning of a 4,700 DWT Ship vol.24, pp.4, 2018, https://doi.org/10.7837/kosomes.2018.24.4.482
  2. A Study on Designing an Effective Support Point for After-Stern Tube Bearings Concerning Shaft Alignment vol.24, pp.6, 2018, https://doi.org/10.7837/kosomes.2018.24.6.803
  3. 173,000 CBM 액화천연가스 운반선의 선체변형을 고려한 추진축계 정렬해석 연구 vol.42, pp.4, 2016, https://doi.org/10.5916/jkosme.2018.42.4.258
  4. Application of Deep Reinforcement Learning to Predict Shaft Deformation Considering Hull Deformation of Medium-Sized Oil/Chemical Tanker vol.9, pp.7, 2021, https://doi.org/10.3390/jmse9070767