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Method for depicting stratum profile based on small samples

A small-sample, stratigraphic technology, applied in the direction of specific mathematical models, special data processing applications, instruments, etc., to improve accuracy and overcome the large demand for measured data

Pending Publication Date: 2021-04-27
CENT SOUTH UNIV
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Problems solved by technology

In addition, probabilistic geotechnical design and analysis require the use of random field generators. The traditional methods include discrete Fourier transform method, fast Fourier transform method, etc. The estimation of these random field parameters usually requires a large number of measurements of geotechnical engineering site characteristics , which is generally not available in engineering practice

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  • Method for depicting stratum profile based on small samples
  • Method for depicting stratum profile based on small samples
  • Method for depicting stratum profile based on small samples

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Embodiment Construction

[0050]In order to make the technical problems, technical solutions and advantages to solve the present invention more clearly, and will be described in detail below with reference to the accompanying drawings and specific examples. Obviously, the described embodiments are all embodiments of the invention, not all of the embodiments. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.

[0051]Such asfigure 1 As shown, embodiments of the present invention are calculated in an example of an engineering, and 14 drilled holes have been designed, with an average distance of 18.44 m. Determine the bottom depth of each drilling, the drilling results showed the site of the three soil layers of the backfilling, gravel clay and weathered granite.

[0052]Extract the buried depth or elevation y of the same formation from each drilling record, while the drilling position is stored in the colum...

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Abstract

The invention relates to the field of slope engineering, in particular to a method for depicting a stratum profile based on a small sample, which mainly comprises the following steps: obtaining stratum boundary measurement data from a drilling record; quantifying stratum boundary uncertainty by utilizing limited stratum boundary data; and simulating the uncertainty of the stratum boundary according to the statistical information obtained in the previous step. Compared with traditional stratum profile depiction, the invention has the advantages that limited drilling vertical soil property layering information is directly utilized, the Bayesian compression method is adopted to reasonably and objectively quantify the horizontal stratum boundary uncertainty and reconstruct the two-dimensional underground stratum, the problem that a traditional stratum boundary interpolation method is large in actual measurement data demand is solved, the accuracy of depicting the stratum boundary based on the small sample is remarkably improved, and certain theoretical innovation significance and engineering practical value are achieved.

Description

Technical field[0001]The present invention relates to the field of slope engineering, and more particularly to a method based on a small sample-based formation.Background technique[0002]In the geotechnical engineering, the formation measurement data obtained by the on-site drilling is often less, while the explanation of the formation section is a key element in the geotechnical engineering. Due to the limited amount of data, it is difficult to use traditional statistical methods to obtain a stratum boundary in a reasonable and objective manner. In addition, due to limited existing data, interpretation results include significant statistical uncertainty, and statistical uncertainty is significantly greater than other uncertainty and variability, such as spatial variability, conversion uncertainty, and measurement errors. Therefore, it is important to reasonably, the statistical uncertainty contained in the profile is very important.[0003]Since the measurement data is limited, there ...

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Application Information

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IPC IPC(8): G06F30/20G06N7/00G06F111/08
CPCG06F30/20G06F2111/08G06N7/01
Inventor 刘磊磊张均张绍和潘秋景黄诗雅李京泽
Owner CENT SOUTH UNIV
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