Thermal conductivity of marine sediments influenced by porosity and temperature in the South China Sea

被引:8
作者
Zhang, Xinrui
Kong, Gangqiang [1 ]
Li, Hui [1 ,2 ]
Wang, Lehua [3 ]
Yang, Qing [4 ]
机构
[1] Hohai Univ, Coll Civil & Transportat Engn, Nanjing 210024, Jiangsu, Peoples R China
[2] Wenzhou Univ, Coll Civil Engn & Architecture, Wenzhou, Peoples R China
[3] China Three Gorges Univ, Minist Educ, Key Lab Geol Hazards Three Gorges Reservoir Area, Yichang, Hubei, Peoples R China
[4] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, Dalian 116024, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
Marine sediments; Thermal conductivity; Porosity; Temperature; Prediction; HEAT-FLOW; MODEL; SOILS; PRESSURE; CLAY;
D O I
10.1016/j.oceaneng.2022.111992
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
A series of laboratory studies were conducted to explore the thermal properties of marine sediments from the South China Sea. The test specimens were obtained from depths of 733 m below sea level to 3248 m below sea level. The thermal conductivity of marine sediments from the South China Sea was developed using the KD2 Pro thermal properties analyser. The influence of transportation on the thermal conductivity of marine sediments was investigated through a series of tests onboard or in the laboratory for different site samples. The influence of temperature and porosity on the thermal conductivity of marine sediments was investigated through a series of tests using a modified oedometer. Fifteen models in the literature divided into four categories were used for calculating the thermal conductivity of marine sediments. The results indicate that the measurement results onboard were not much different from those in the laboratory for the samples from the northern part of the South China Sea. The thermal conductivity of marine sediments increased with increasing temperature and decreasing porosity. Five literature models used to calculate the thermal conductivity of the upper soil on land had relatively good predictive effects for marine sediments using a fitting parameter.
引用
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页数:15
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