• 全国中文核心期刊
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HU Shi-jun, CHEN Pan, WEI Chang-fu, YI Pan-pan, WANG Yong. Effect of NaCl solution on primary physical-mechanical behaviors of deep-sea sediments[J]. Chinese Journal of Geotechnical Engineering, 2021, 43(S2): 142-145. DOI: 10.11779/CJGE2021S2034
Citation: HU Shi-jun, CHEN Pan, WEI Chang-fu, YI Pan-pan, WANG Yong. Effect of NaCl solution on primary physical-mechanical behaviors of deep-sea sediments[J]. Chinese Journal of Geotechnical Engineering, 2021, 43(S2): 142-145. DOI: 10.11779/CJGE2021S2034

Effect of NaCl solution on primary physical-mechanical behaviors of deep-sea sediments

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  • Received Date: August 12, 2021
  • Available Online: December 05, 2022
  • The environment of the salt solution in deep sea can be greatly disturbed by the ocean currents and oil-gas exploitation. Therefore, it is necessary to explore the effects of saline solution on the physical-mechanical behaviors of the deep-sea sediments. The effects of sodium chloride solution on the microscopic fabrics of the deep-sea sediments from the South China Sea are firstly explored using the scanning electron microscope. Subsequently, different methods are used to measure the basic physical properties, rheological and deformation characteristics of the deep-sea sediments under variable concentrations of saline solutions, including free settlement, liquid limit, rheology and consolidation tests. The results show that the flocculated structure is enhanced in the sediments under the effects of saline solutions with the scanning electron microscope. Furthermore, the settling velocity of the sediment particles in the saline sotuion is much larger than that in the deionized water. The free settlement curves can be divided into three characteristic stages. The liquid limit and yield stress of the sediments also increase when the concentration of the saline solution increases. It’s worth noting that the yield stress saturated by the NaCl solution with the concentration 1.0 mol/L is three times larger than that saturated with deionized water. The oedometric moduli of the sediments increase with the increasing concentration of NaCl solution.
  • [1]
    SONG M M, ZENG L L, HONG Z S. Pore fluid salinity effects on physicochemical-compressive behaviour of reconstituted marine clays[J]. Applied Clay Science, 2017, 146: 270-277. doi: 10.1016/j.clay.2017.06.015
    [2]
    张彤炜, 邓永锋, 吴子龙, 等. 考虑孔隙水盐分效应的人工软黏土工程特性与本构模型[J]. 岩土工程学报, 2018, 40(9): 1690-1697. https://www.cnki.com.cn/Article/CJFDTOTAL-YTGC201809019.htm

    ZHANG Tong-wei, DENG Yong-feng, WU Zi-long, et al. Engineering behavior and constitutive model of artificial soft clay considering pore water salinity effect[J]. Chinese Journal of Geotechnical Engineering, 2018, 40(9): 1690-1697. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YTGC201809019.htm
    [3]
    VERMEIJDEN C, KAY S, GOEDEMOED S. Influence of salinity on soil properties[C]//Proceedings of the 1st International Symposium on Frontiers in Offshore Geotechnics. 2005.
    [4]
    PUECH A, DELAGE P, DE GENNARO V. On the compressibility of deepwater sediments of the Gulf of Guinea[C]//Proceedings of the 1st International Symposium on Frontiers in Offshore Geotechnics. 2005.
    [5]
    LI H, KONG G Q, WEN L, et al. Pore pressure and strength behaviors of reconstituted marine sediments involving thermal effects[J]. International Journal of Geomechanics, 2021, 21(4): 06021008. doi: 10.1061/(ASCE)GM.1943-5622.0001984
    [6]
    THOMPSON D, BEASLEY D J, TRUE D G, et al. Handbook for Marine Geotechnical Engineering[M]. Hueneme: Naval Facilities Engineering Command Port, 2012.
    [7]
    SRIDHARAN A, PRAKASH K. Characteristic water contents of a fine-grained soil-water system[J]. Géotechnique, 1998, 48(3): 337-346. doi: 10.1680/geot.1998.48.3.337
    [8]
    土工试验方法标准:GB/T50123-2019[S]. 北京: 中国计划出版社, 2019.

    Standard for Geotechnical Test Method: GB/T50123-2019[S]. Beijing: China Planning Press, 2019. (in Chinese)
    [9]
    MITCHELL J K, SOGA K. Fundamentals of Soil Behavior[M]. 3rd ed. New York: Wiley, 2005.
    [10]
    YING Z, CUI Y J, DUC M, et al. Salinity effect on the liquid limit of soils[J]. Acta Geotechnica, 2021, 16(4): 1101-1111. doi: 10.1007/s11440-020-01092-7
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