해저배관 뒤채움 흙의 열전도율 산정에 관한 실험 및 수치 해석적 연구
Experimental and Numerical Methods for Thermal Conductivity of Backfill Soils for Subsea Pipeline
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
The temperature of subsea pipeline, approximately as high as 100℃, is significantly higher than the temperature of surrounding sea water and sediment. In this reason, heat can be lost from the subsea pipeline to cause serious operation problem. Therefore it is important that the subsea pipeline must be designed to ensure that heat loss is small enough. Heat loss of unburied pipeline is higher than buried pipeline. For that purpose, trenching and backfilling system is a commonly used method for maintaining flow assurance in subsea pipeline installation. For this commonly used method, knowing thermal conductivity of backfill is essential to protect a heat loss of pipeline. This paper presents thermal conductivity of backfill soil using laboratory model test and numerical analysis for various backfill. In conclusion, it can be seen that higher the sand content of the man-made backfill sample, the higher the thermal conductivity. On the other hand, as the water content increases, the thermal conductivity becomes smaller.
Abstract
The temperature of subsea pipeline, approximately as high as 100℃, is significantly higher than the temperature of surrounding sea water and sediment. In this reason, heat can be lost from the subsea pipeline to cause serious operation problem. Therefore it is important that the subsea pipeline must be designed to ensure that heat loss is small enough. Heat loss of unburied pipeline is higher than buried pipeline. For that purpose, trenching and backfilling system is a commonly used method for maintaining flow assurance in subsea pipeline installation. For this commonly used method, knowing thermal conductivity of backfill is essential to protect a heat loss of pipeline. This paper presents thermal conductivity of backfill soil using laboratory model test and numerical analysis for various backfill. In conclusion, it can be seen that higher the sand content of the man-made backfill sample, the higher the thermal conductivity. On the other hand, as the water content increases, the thermal conductivity becomes smaller.
참고문헌 (8)
- ANSYS Inc, "ANSYS CFX Theory Guide", ANSYS v130, ~ (2010)
- ANSYS Inc, "ANSYS CFX Tutorials", ANSYS v130, ~ (2010)
- 차장환, "토양의 공극률 및 함수비가 열전도도에 미치는 영향", 지하수토양환경, 13(3), pp.27~36 (2008), 한국지하수토양환경학회
- 김학승, "포화된 카올리나이트의 압밀에 따른 열전도계수에 관한 연구", 지질공학, 21(2), pp.157~162 (2011), 대한지질공학회
- 김유성, "열저항 특성을 고려한 지중송전관로 되메움재의 최적화(I)", 한국지반신소재학회 논문집, 10(4), pp.113~121 (2011), 한국지반신소재학회
- Mitchell, J. K., "Measurement of soil thermal resistivity", ASCE Journal of Geotechnical Engineering, 104(5), pp.1907~1320 (1978)
- Thusyanthan, N.I., "Thermal imaging, thermal conductivity of soil and heat loss from buried pipelines", The Offshore Pipeline Technology Conference (2011)
- Zakarian, E., "A Holistic Approach to Steady-State Heat Transfer From Partially and Fully Buried Pipelines", Offshore Technology Conference (2012)