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Near-G-series high-speed train ground settlement prediction method based on three-dimensional geologic model and back analysis

A technology of land subsidence and three-dimensional geology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of reliable data foundation

Active Publication Date: 2017-12-15
CHINA RAILWAYS CORPORATION +1
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AI Technical Summary

Benefits of technology

This technology can predict when there will be an increase or decrease in water levels on both rails caused by factors like soil movement over time due to various environmental conditions such as rain damage from snow falling down onto train tracks during winter weather months. It also includes analyzed depths at different points within each track's surface layer to help make informed decisions about how best to protect against future flooding events. Overall this system helps improve safety management systems used for trains operating underground environments.

Problems solved by technology

This patented describes two technical problem addressed by this patents: how to effectively detect and manage changes caused during construction on rails that travel at very fast speeds (upwards of 30 mph). Current methodologies only allow for estimating these movements over time but fail to account for any spatial variations between different locations within the structure due to factors like topography and other environmental variables.

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  • Near-G-series high-speed train ground settlement prediction method based on three-dimensional geologic model and back analysis
  • Near-G-series high-speed train ground settlement prediction method based on three-dimensional geologic model and back analysis
  • Near-G-series high-speed train ground settlement prediction method based on three-dimensional geologic model and back analysis

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Embodiment Construction

[0028] The method for predicting land subsidence along the high-speed railway based on the three-dimensional geological model and back analysis of the present invention will be further described below in conjunction with the accompanying drawings.

[0029] see figure 1 , the method for predicting land subsidence along the high-speed railway based on the three-dimensional geological model and back analysis of the present invention mainly includes the following steps:

[0030] S1. Acquisition of geological survey data, groundwater level and land subsidence monitoring data in the study area; S2. Regional three-dimensional geological model construction; S3. Calculation of regional groundwater level changes; S4. Regional land subsidence model construction; S5. Back analysis and calculation of formation mechanical parameters ; S6. Prediction and calculation of regional land subsidence. details as follows:

[0031] S1. Obtain geological survey data, groundwater level and land subsi...

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Abstract

The invention discloses a near-G-series high-speed train ground settlement prediction method based on a three-dimensional geologic model and back analysis. The method comprises the following steps of S1, obtaining geological survey data, the underground water level and ground settlement monitoring data in a study area; S2, constructing a regional three-dimensional geological model; S3, calculating the regional underground water level change; S4, constructing a regional ground settlement model; S5, conducting back analysis calculation on stratum mechanical parameters; S6, conducting prediction calculation on the regional ground settlement amount. According to the along-G-series high-speed train ground settlement prediction method, the geological survey data, the underground water level and the ground settlement monitoring data of G-series high-speed train engineering are utilized, and with the combination of back analysis, a three-dimensional ground settlement prediction model which can consider the uneven spatial distribution of the soil layer thickness and the soil body mechanical parameters is constructed. The along-G-series high-speed train ground settlement prediction method has high prediction precision, and can be widely applied to prediction of the ground settlement amount caused by the change of the water level along the G-series high-speed trains.

Description

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Claims

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Application Information

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Owner CHINA RAILWAYS CORPORATION
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