首页|泥石流颗粒组成的动力演化

泥石流颗粒组成的动力演化

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泥石流物质具有宽级配颗粒组成,以往研究都用物源或堆积样本作为流体物质的代表,且传统的粒度分析参数不能对其进行区分。本文运用土体颗粒的普适性标度分布函数,通过蒋家沟的样本数据,揭示了泥石流物源、流体和堆积的标度分布参数具有显著的区别。在此基础上,运用蒋家沟泥石流物源土体为实验材料,设计并实施了动力搅拌实验及坍落实验,旨在了解颗粒构成在运动时所发生的变化和它对泥石流流动性的影响。研究表明:(1)经过动力搅拌作用后,颗粒组成呈现显著的规律性变化,标度分布的两个参数由离散状态向负幂关联过渡。(2)在足够的动力搅拌影响下,粒径分布将转变为一种稳定的模式,对应于泥石流的最佳流动性,表现为比表面积、坍落扩展度和扩散面积等指标处于稳定高值。实验结果展示了泥石流成分的变异如何影响其运动过程,这对于构建更加完整的泥石流动力学理论模型具有重要意义。
Kinetic Evolution of Debris Flow Grain Composition
Debris flow fluids are characterized by a broad grain size distribution(GSD),which undergo constant variation in composition in movements.Previous studies used source or deposition samples as representatives of the fluid materials,but they failed to distinguish their gradations in phrases if only via classical granulometric parameters to be used by traditional grain size analysis.In this study,a universal scaling distribution function of GSD was applied to reveal significant differences in the scaling distribution parameters among the source,fluid,and deposition of debris flow based on sample data collected at the Jiangjiagou gully,a well-known debris flow observation site in Yunnan Province,China.On this basis,a series of dynamic mixing and slump tests were designed and conducted using soil samples from the debris flow source at Jiangjiagou as experimental materials,aiming to understand the changes in GSD during artificial movements and their impact on debris flow mobility.(1)The GSD exhibited significant changes under dynamic mixing,with the two GSD parameters of scaling distribution:µ and Dc transitioning from an initial discrete state to a negative power-law correlation;(2)Under sufficient dynamic mixing,the GSD gradually transformed into a stable state,quite possibly corresponding to the optimal mobility of debris flows,manifested by stable high values in indicators such as specific surface area,slump spread,and diffusion area.These experiments demonstrate how variations in debris flow composition affect its movement process,which is of great significance for constructing a more comprehensive theoretical model of debris flow dynamics.

debris flowgrain distributionkinetic regulationfluidity

杨太强、郭晓军、李泳、刘晶晶、蒋玉

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中国电建集团昆明勘测设计研究院有限公司,昆明 650051

中国科学院、水利部成都山地灾害与环境研究所,成都 610299

保山学院工程技术学院,云南保山 678000

泥石流 颗粒分布 动力调节 流动性

2024

山地学报
中科院水利部成都山地灾害与环境研究所 中国地理学会

山地学报

CSTPCD北大核心
影响因子:1.275
ISSN:1008-2786
年,卷(期):2024.42(5)