Calculation of scale of fluctuation and variance reduction function

Shuwang Yan , Linping Guo

Transactions of Tianjin University ›› 2015, Vol. 21 ›› Issue (1) : 41 -49.

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Transactions of Tianjin University ›› 2015, Vol. 21 ›› Issue (1) : 41 -49. DOI: 10.1007/s12209-015-2298-y
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Calculation of scale of fluctuation and variance reduction function

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Abstract

The scale of fluctuation is one of the vital parameters for the application of random field theory to the reliability analysis of geotechnical engineering. In the present study, the fluctuation function method and weighted curve fitting method were presented to make the calculation more simple and accurate. The vertical scales of fluctuation of typical layers of Tianjin Port were calculated based on a number of engineering geotechnical investigation data, which can be guidance to other projects in this area. Meanwhile, the influences of sample interval and type of soil index on the scale of fluctuation were analyzed, according to which, the principle of determining the scale of fluctuation when the sample interval changes was defined. It can be obtained that the scale of fluctuation is the basic attribute reflecting spatial variability of soil, therefore, the scales of fluctuation calculated according to different soil indexes should be basically the same. The non-correlation distance method was improved, and the principle of determining the variance reduction function was also discussed.

Keywords

random field / scale of fluctuation / correlation function / sample distance / sample interval / variance reduction function

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Shuwang Yan, Linping Guo. Calculation of scale of fluctuation and variance reduction function. Transactions of Tianjin University, 2015, 21(1): 41-49 DOI:10.1007/s12209-015-2298-y

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References

[1]

Vanmarcke Erik H. Probabilistic modeling of soil profiles[J]. Journal of the Geotechnical Engineering Division, ASCE, 1977, 103(11): 1227-1246.

[2]

Vanmarcke Erik H. Reliability of earth slopes[J]. Journal of the Geotechnical Engineering Division, ASCE, 1977, 103(11): 1247-1265.

[3]

Zhao G, Cao J, Zhang Kuanquan. Reliability of Engineering Structure[M], 1984, Beijing, China: Water Resources and Electric Power Press.

[4]

Gao Dazhao. Principle of Reliability of Soil Mechanics[ M], 1989, Beijing, China: China Architecture and Building Press.

[5]

Bao C, Gao D, Zhang Qinghua. Reliability Analysis Method of Foundation Soil[M], 1996, Wuhan, China: Surveying and Mapping Press of Wuhan Technical University.

[6]

Li J, Shu X, Ding Shijun. Discussion on characteristic parameter of self-correlation of soil index and its determining principle[J]. Journal of Tongji University, 2003, 31(3): 287-290.

[7]

Xu B, Wang D, Gao Dazhao. Discussion on determination of correlation distance of static penetration curve by means of correlation function method[J]. Rock and Soil Mechanics, 1998, 19(1): 55-58.

[8]

Liu C, Yan Shuwang. Characteristic of the random field of geotechnical parameters and linear prediction[J]. Chinese Journal of Geotechnical Engineering, 2002, 24(5): 588-591.

[9]

Liu R, Yan Shuwang. Random field model and reliability analysis of foundation soil in Bohai Gulf [J]. Chinese Journal of Geotechnical Engineering, 2004, 26(4): 464-467.

[10]

Zhu Hongxia. Study of Using Random Field Theory in Soil Foundation Reliability Analysis [D], 2008.

[11]

Yan S, Zhu H, Liu Run. Numerical studies and static analysis of correlation distance of soil properties in Tianjin Port [J]. Rock and Soil Mechanics, 2009, 30(7): 2179-2185.

[12]

Jia Xiaoli. Analysis on Characteristic and Application of Stochastic Field[D], 1985.

[13]

Yan S, Jia X, Guo Huaizhi. Confirmation of stationary and ergodicity of soil profiles of stochastic field model[J]. Chinese Journal of Geotechnical Engineering, 1995, 17(3): 1-9.

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