PDF(6509 KB)
PDF(6509 KB)
PDF(6509 KB)
膨胀土物理力学指标分布规律统计分析——以安康地区为例
Probability Distribution Law of Physical and Mechanical Property Indexes of Expansive Soil: A Case Study from Ankang Area
为探究安康地区膨胀土物理力学指标的分布规律和合理取值范围,基于陕西安康某膨胀土工程实例,通过数理统计模型(正态分布、伽马分布、威布尔分布及对数正态分布)对不同指标的分布规律和范围进行统计分析,并采用柯尔莫哥洛夫-斯米洛夫(K-S)检验法对各指标分布特征进行检验。 结果表明: 膨胀土的干密度指标偏度最小且为右偏接近正态分布,膨胀率指标偏度最大且为左偏。采用对数正态分布函数能够更好地反映膨胀土含水率和孔隙比指标分布规律,正态分布函数能够更好地反映干密度指标分布规律,威布尔分布能够更好地反映膨胀土的液限、塑限、塑性指数、膨胀率及膨胀力等指标的分布规律;与平均值法相比较,采用最优拟合分布函数峰值能够较准确地评价膨胀土物理力学指标。研究结果对深入认识区域内膨胀土的变形特征和工程建设具有借鉴意义。
In this study, we analyzed the distribution patterns and ranges of expansive soil indices through an engineering case study in Ankang, Shaanxi Province. By utilizing mathematical statistical models, specifically the Normal, Gamma, Weibull, and Lognormal distributions, we aimed to gain a deeper understanding of these indices. To validate our findings, we conducted the Kolmogorov-Smirnov (K-S) test, which allowed us to confirm the distribution of the indices and further elucidate the physical and mechanical properties of expansive soil. Our results revealed notable trends: the dry density index exhibited minimal deviation with a right skew, closely aligning with the Normal distribution. Conversely, the expansion rate demonstrated the greatest deviation and a left skew, indicating its heightened sensitivity to other indices. We also observed that the Lognormal distribution adeptly captured the patterns of water content and void ratio, while the Normal distribution provided an accurate representation of dry density. The Weibull distribution, on the other hand, excelled in describing the distributions of liquid limit, plastic limit, plasticity index, expansion rate, and expansion force in expansive soil. When compared to the traditional average method, our approach by utilizing the peak parameter values from the optimal distribution functions of various indices offers a more precise evaluation of the physical and mechanical properties of expansive soil. The findings serve as valuable guidance for comprehending regional expansion deformation and enhancing engineering design and construction practices.
膨胀土 / 物理力学指标 / 分布规律 / 数理统计 / 柯尔莫哥洛夫-斯米洛夫(K-S)检验法
expansive soil / physical-mechanical indexes / distribution law / mathematic statistics / Kolmogorov-Smilov test
| [1] |
陈继灿, 崔可锐, 查甫生. 合肥膨胀土土性指标概率分布统计分析[J]. 工业建筑, 2016, 46(增刊):605-609.
(
|
| [2] |
陈立宏, 陈祖煜, 刘金梅. 土体抗剪强度指标的概率分布类型研究[J]. 岩土力学, 2005, 26(1): 37-40, 45.
(
|
| [3] |
李远耀, 殷坤龙, 柴波, 等. 三峡库区滑带土抗剪强度参数的统计规律研究[J]. 岩土力学, 2008, 29(5):1419-1424,1429.
(
|
| [4] |
李刚, 张金利, 杨庆. 不同成因沉积土物理力学指标概率统计分析[J]. 岩土力学, 2017, 38(12):3565-3572.
(
|
| [5] |
刘先峰, 阳剑, 张炎飞, 等. 德伊高铁地基土变异性分析与概率分布研究[J]. 铁道学报, 2022, 44(7): 154-162.
(
|
| [6] |
|
| [7] |
陈正汉, 郭楠. 非饱和土与特殊土力学及工程应用研究的新进展[J]. 岩土力学, 2019, 40(1): 1-54.
(
|
| [8] |
翟志刚, 雷胜友, 袁文治, 等. KCl溶液对安康膨胀土膨胀性影响的多因素耦合分析[J]. 岩土工程技术, 2019, 33(5): 255-258.
(
|
| [9] |
谭罗荣, 孔令伟. 膨胀土膨胀特性的变化规律研究[J]. 岩土力学, 2004, 25(10):1555-1559.
(
|
| [10] |
高英, 赵廷华, 司友深. 膨胀力影响因素分析研究[J]. 人民黄河, 2010, 32(5): 120-122.
(
|
| [11] |
董文萍, 戴福初, 黄志全, 等. 液限对南阳原状膨胀土抗剪强度影响的研究[J]. 河南理工大学学报(自然科学版), 2019, 38(4): 136-141.
(
|
| [12] |
严春风, 刘东燕, 张建辉, 等. 岩土工程可靠度关于强度参数分布函数概型的敏感度分析[J]. 岩石力学与工程学报, 1999, 18(1): 36-39.
(
|
| [13] |
GB/T 50123—1999, 土工试验方法标准[S]. 北京: 中国计划出版社, 1999.
(GB/T 50123—1999, Standard for Soil Test Method[S]. Beijing: China Planning Press, 1999.) (in Chinese)
|
| [14] |
JTG E40—2007, 公路土工试验规程[S]. 北京: 人民交通出版社, 2007.
(JTG E40—2007, Test Methods of Soils for Highway Engineering[S]. Beijing: China Communications Press, 2007.) (in Chinese)
|
| [15] |
石梁宏, 李双洋, 王冲, 等. 冻土热物理性质的统计特征及分布规律[J]. 中南大学学报(自然科学版), 2018, 49(12): 3060-3067.
(
|
| [16] |
付江涛, 余冬梅, 李晓康, 等. 柴达木盆地盐湖区盐生植物根-土复合体物理力学性质指标概率统计分析[J]. 岩石力学与工程学报, 2020, 39(8): 1696-1709.
(
|
/
| 〈 |
|
〉 |