PDF(4946 KB)
Experimental Study on the Generalized Law of Lake Sediment Collapse under Drilling Sand Pumping Process
ZHANG Hai-jun, LI Bo, CHEN Hao, DENG Bin, SUN Jin-gui, JIANG Chang-bo
Journal of Changjiang River Scientific Research Institute ›› 2026, Vol. 43 ›› Issue (10) : 119-127.
PDF(4946 KB)
PDF(4946 KB)
Experimental Study on the Generalized Law of Lake Sediment Collapse under Drilling Sand Pumping Process
[Objective] This study addresses the challenge of predicting sudden subsidence of sedimentary layers caused by drilling and sand extraction in the Dongting Lake ecological restoration project. By analyzing the development process of soil deformation, a prediction model for surface subsidence induced by drilling sand extraction was established to achieve rapid prediction of surface subsidence deformation width and maximum subsidence depth. The aim is to reveal the collapse patterns of sediment layers in the ecological dredging project of Dongting Lake and predict the collapse areas, providing theoretical references for safe construction and disaster risk management. [Methods] Based on a self-designed sand extraction visualization test apparatus, physical model experiments of drilling sand extraction were conducted under different sand gradations, extraction depths, and water levels. The sand soil collapse process was recorded using a high-speed camera, and the data were processed using PIV (Particle Image Velocimetry) technology to obtain the collapse curve and quantify the soil deformation process. [Results] Experimental results revealed:(1)The collapse zone exhibits an elliptical shape, with its eccentricity decreasing as the characteristic particle size D90 or extraction depth increases, while increasing with greater water depth.(2)In terms of the goodness-of-fit between the Peck curve and the surface collapse curve, when the soil loss rate is below 20%, the goodness-of-fit is relatively low, showing a scattered distribution (R2=0.78-0.96). As the extraction process continues, the goodness-of-fit of the Peck curve to the surface collapse curve gradually increases, reaching a maximum at around 55% (R2=0.98). Thereafter, the collapse curve gradually evolves into an inverted triangular shape, and the goodness-of-fit of the Peck curve correspondingly decreases.(3)The developed collapse prediction model has good applicability within the range of collapse depth <15 cm, with a collapse depth prediction R2=0.73 and a surface collapse width prediction R2=0.65. [Conclusions] This research demonstrates that:(1)Water depth will increase the range of sand soil collapse and accelerate the speed of sand soil collapse.(2) The eccentricity is affected by sand soil particle size, extraction depth, and water depth.(3)The Peck curve is suitable for the range of moderate sand soil loss and needs to be modified when the sand soil loss rate is small or large.
drilling and sand extraction / sand soil collapse / eccentricity / Peck curve / collapse prediction model
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