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J. Hefei Univ. Tech. (Nat. Sci.)

合肥工业大学学报(自然科学版)

JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY (NATURAL SCIENCE)

Competent Authorities: Ministry of Education of the People's Republic of China

Sponsor by: Hefei University of Technology

ISSN 1000-1646, CN 34-1001/N

Analysis of the influence of linear and nonlinear detrending on scale of fluctuation of soil properties

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线性和非线性去趋势化对土性波动范围影响分析

Journal Information

J. Hefei Univ. Tech. (Nat. Sci.), Oct.2024, Vol.47 No.10: 1412-1418, 1426

DOI: 10.3969/j.issn.1003-5060.2024.10.018

Authors

WU Jie, WU Daoxiang, LIN Fei, LI Wenxiu

(School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China)

Abstract and Keywords

Abstract: Based on cone penetration test (CPT) data of the clay layer in Hefei City, a soil profile random field model was established to explore the influence of linear and nonlinear detrending on the calculated scale of fluctuation of soil properties. Linear and nonlinear detrending methods were used to detrend the original CPT data, and the stationary and ergodic tests were performed on the obtained fluctuation components. Correlation function method and spatial recursion method were used to calculate the scale of fluctuation of soil properties corresponding to the fluctuation components. The sensitivity of calculation methods and sampling spacing to different detrending methods was discussed. The results show that for the data with nonlinear trend, linear detrending will make the stability of the obtained fluctuation components worse, resulting in the increase of the mean value, standard deviation and coefficient of variation of the final calculated scale of fluctuation, and the stability of the calculated results is obviously worse. Compared with linear detrending, nonlinear detrending has better adaptability. In addition, the sensitivity of the correlation function method to different detrending methods is greater than that of the spatial recursion method, and the sampling spacing does not affect the overall trend of the data and the choice of the detrending method.

Keywords: cone penetration test(CPT); detrending; scale of fluctuation; correlation function method; spatial recursion method

作者信息

吴杰，吴道祥，林飞，李汶修

（合肥工业大学资源与环境工程学院，安徽合肥230009）

摘要和关键词

摘要: 文章基于合肥市黏土层静力触探（cone penetration test，CPT）数据建立土性剖面随机场模型，探究线性和非线性去趋势化对土性波动范围计算结果的影响。利用线性和非线性去趋势方法对原始CPT数据进行去趋势化处理，对得到的波动分量进行平稳性和遍历性检验，采取相关函数法和空间递推法计算波动分量对应的土性波动范围，并讨论计算方法和取样间距对不同去趋势化方法的敏感性。结果表明：对于具有非线性趋势的数据，采用线性去趋势来处理会使得到的波动分量平稳性变差，导致最终计算得到的波动范围均值、标准差和变异系数增大，计算结果稳定性明显变差；相比于线性去趋势，非线性去趋势的适应性更强；此外相关函数法对不同去趋势化方法的敏感性要大于空间递推法，而取样间距不会影响数据整体的趋势性及对去趋势化处理方法的选择。

关键词: 静力触探(CPT)；去趋势化；波动范围；相关函数法；空间递推法

Funding

国家自然科学基金资助项目（42372302）；合肥工业大学产学研校企合作资助项目（W2019JSFW0733）

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