摘要
边坡土层的分布因受沉积作用等因素的影响,表现出天然空间变异特性,仅通过有限钻孔数据无法表征其真实的土层分布情况,进而难以对其稳定性进行准确评价。为此,基于马尔可夫链理论建立考虑土层不确定性的边坡随机场模型,并采用总信息熵量化边坡地层结构不确定性。结果表明:钻孔单元不确定性为零,距离钻孔位置越远单元不确定性越大;相反,土层交界面附近单元具有较大的不确定性,且不确定性由交界面向外逐渐发散;先验资料选择位于不确定性较大区域的钻孔有助于降低模型不确定性。研究成果对指导或优化边坡勘察工作具有一定的指导意义。
Due to the influence of sedimentation and other factors,the distribution of the slope soil layer shows natural spatial variation characteristics.Limited drilling data cannot characterize the true soil layer distribution,which makes it impossible to accurately evaluate its stability.Therefore,based on Markov chain theory,this paper establishes a slope random field model considering the uncertainty of soil mass,and uses total information entropy to quantify the uncertainty of slope strata structure.The results show that the uncertainty of the drilling unit is zero,and the further the unit is from the drilling location,the greater the uncertainty.On the contrary,the units near the interface of soil layers have greater uncertainty,and the uncertainty gradually diverges from the interface.Prior data selection of boreholes located in areas with greater uncertainty can help reduce the uncertainty of the model.
作者
柳彤晖
豆红强
纪歆雅
LIU Tonghui;DOU Hongqiang;JI Xinya(College of Environment and Resources,Fuzhou University,Fuzhou,Fujian 350116,China)
出处
《水利与建筑工程学报》
2021年第3期111-116,共6页
Journal of Water Resources and Architectural Engineering
基金
自然资源部丘陵山地地质灾害防治重点实验室开放基金项目(FJKLGH2017K006)。
关键词
边坡
马尔可夫随机场
土层变异
蒙特卡罗法
钻孔位置
slope
Markov random field
soil layer uncertainty
Monte Carlo method
location of drill hole
