检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]兰州大学土木工程与力学学院西部灾害与环境力学教育部重点实验室,兰州730000
出 处:《兰州大学学报(自然科学版)》2018年第1期20-25,共6页Journal of Lanzhou University(Natural Sciences)
基 金:国家重点基础研究发展计划(973)项目(2014CB744701);中央高校基本科研业务费专项资金项目(lzujbky-2014-5)
摘 要:为了探讨MK模型在含盐细粒土中的适用性,测试不同掺量的NaCl、Na_2SO_4细粒土的土-水特征曲线.结果表明:MK模型适用于描述含盐细粒土的土-水特征曲线,但基于经验公式的MK预测方程效果并不理想.根据MK模型的拟合参数a_(fit)、m_(fit)建立其与盐溶液浓度之间的相关关系,提出一种适合不同盐溶液饱和条件下细粒土土-水特征曲线的预测方法,预测结果和实测值较吻合,具有一定的适用性,可用于预测含盐细粒土的土-水特征曲线.In order to evaluate the influence of salinity on the applicability of MK prediction models, desalted fine-grained soil was employed and saturated with NaC1 and Na2SO4 solutions of different concentrations. It was showed that the traditional MK model tends to lose applicability when predicting the soil-water characteristic curve of saline soil. According to the relationship between the parameters a fit, m fit and salt concentration, a new method was presented to estimate the soil-water characteristic curve of fine-grained soil saturated with different salt solutions. This model was tested to estimate the soil-water characteristic curve of different salt contaminated fine-grained soils. The prediction results were in good agreement with measured values, thus confirming the universality of this proposed MK prediction model.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.3