CN-121786939-B - Shore slope deep unloading quantitative evaluation method and system based on multi-period evolution model

CN121786939BCN 121786939 BCN121786939 BCN 121786939BCN-121786939-B

Abstract

The invention relates to the technical field of geological data analysis, and discloses a method and a system for quantitative evaluation of deep unloading of a bank slope based on a multi-period evolution model, which aim to solve the problems that the existing method has low efficiency and strong subjectivity and cannot realize integral quantitative evaluation of the bank slope; the method comprises the steps of accumulating deep unloading opening widths in each period to obtain accumulated opening widths, calculating normalized damage intensity indexes according to the number of effective exploration projects in the elevation range corresponding to the period, and finally summing the normalized indexes of each period to obtain deep unloading accumulated effect indexes. The invention realizes objectification, standardization and automation of the evaluation process, improves the efficiency and the accuracy, realizes quantitative evaluation, and is particularly suitable for safe site selection and construction of major engineering.

Inventors

PENG YI
Kuang Hongwen
ZHANG SHISHU
CHEN WEITAO
ZHAO XIAOPING
YANG JINGXI
CHENG LIJUAN
YANG YING
LIU XIANG
LIU JUNJUN

Assignees

中国电建集团成都勘测设计研究院有限公司

Dates

Publication Date: 20260512
Application Date: 20260303

Claims (10)

1. The bank slope deep unloading quantitative evaluation method based on the multi-period evolution model is characterized by comprising the following steps of: Acquiring exploration engineering catalog data and geospatial data of a target area, extracting spatial position information and opening width of each deep unloading object from the exploration engineering catalog data, acquiring river water level elevation from the geospatial data, and calculating tug-of-war height of each deep unloading object based on the spatial position information and the river water level elevation; According to a predefined valley evolution period sub-division rule, mapping the tug-of-war heights of all deep unloading objects to corresponding valley evolution period sub-numbers, so that a period sub-label is allocated to each deep unloading object; accumulating the opening widths of all deep unloading objects in each river valley evolution period to obtain an accumulated opening width reflecting the total geometric injury quantity of the river valley evolution period; aiming at each valley evolution period, acquiring the number of main exploration projects for effectively controlling the corresponding elevation range of the period, and calculating the normalized damage intensity index of the period according to the accumulated opening width of the period and the number of the main exploration projects; and calculating a deep unloading accumulation effect index representing the deep unloading accumulation development intensity of the bank slope of the target area in the river valley evolution history based on the normalized damage intensity indexes of all river valley evolution periods, and quantitatively evaluating the deep unloading of the bank slope of the target area according to the deep unloading accumulation effect index.
2. The quantitative evaluation method for bank slope deep unloading based on the multi-period evolution model according to claim 1, wherein the valley evolution period is divided into four periods according to the regional valley order sequence and the deep unloading development characteristics, and the period labels correspond to a first period, a second period, a third period and a fourth period respectively; The predefined valley evolution period sub-division rule comprises: mapping the tug-of-war height of the deep unloading object to a first period when the tug-of-war height is in a first height range; Mapping the tug-of-war height of the deep unloading object to a second period when the tug-of-war height is in a second height range; Mapping the tug-of-war height of the deep unloading object to a third period when the tug-of-war height is in a third height range; when the tug-of-war height of the deep unloading object is in the fourth height range, mapping it to the fourth period.
3. The quantitative evaluation method for bank slope deep unloading based on the multi-stage evolution model according to claim 2, wherein the first height range is 10 meters or more and less than 80 meters, the second height range is 80 meters or more and less than 160 meters, the third height range is 160 meters or more and less than 250 meters, and the fourth height range is 250 meters or more.
4. The quantitative evaluation method for bank slope deep unloading based on the multi-stage evolution model according to claim 1 is characterized in that the main exploration engineering is exploration galleries which are distributed in the transverse direction and penetrate through tight rock zones, and when no exploration galleries exist in the corresponding elevation ranges, drilling holes which are deeply unloaded in the corresponding elevation ranges are used as the main exploration engineering.
5. The quantitative evaluation method for bank slope deep unloading based on the multi-period evolution model according to claim 1, wherein the calculation formula of the normalized damage intensity index is as follows: ; Wherein, the Is the first Normalized damage intensity index of the period of valley evolution, Is the first The accumulated opening width of the period valley evolution period, To the first pair And the number of main exploration projects which are effectively controlled by the secondary corresponding elevation range of the river valley evolution period.
6. The quantitative evaluation method for bank slope deep unloading based on the multi-period evolution model according to claim 1, wherein the calculation formula of the deep unloading cumulative effect index is as follows: ; Wherein, the For a deep unload cumulative effect index, Is the first Normalized damage intensity index of the period of valley evolution, Indicating the total number of weeks.
7. The quantitative evaluation method for the deep unloading of the bank slope based on the multi-period evolution model according to claim 1, which is characterized by comprising the following steps of: and comparing the deep unloading cumulative effect index with a preset threshold value interval, and outputting the deep unloading development intensity level of the target area according to the comparison result.
8. The method for quantitatively evaluating the deep unloading of the bank slope based on the multi-stage evolution model according to claim 7, wherein when the deep unloading cumulative effect index is less than or equal to 10, the corresponding deep unloading development intensity level is low, when the deep unloading cumulative effect index is more than 10 and less than or equal to 30, the corresponding deep unloading development intensity level is medium, and when the deep unloading cumulative effect index is more than 30, the corresponding deep unloading development intensity level is high.
9. The multi-period evolution model-based bank slope deep unloading quantitative evaluation method according to claim 1, wherein the method further comprises: And determining the contribution of different geological history stages to the current state deep unloading total development intensity of the bank slope by comparing the normalized damage intensity indexes corresponding to the evolution period times of each river valley or calculating the proportion of the normalized damage intensity indexes corresponding to the evolution period times of each river valley to the deep unloading cumulative effect index, and determining the dominant evolution period times of the river valley according to the contribution.
10. A system for quantitative evaluation of bank slope deep unloading based on a multi-stage evolution model, which is used for realizing the quantitative evaluation method of bank slope deep unloading based on a multi-stage evolution model as claimed in any one of claims 1 to 9, and comprises the following steps: the data access and preprocessing module is used for acquiring exploration engineering catalog data and geospatial data of a target area, extracting spatial position information and opening width of each deep unloading object from the exploration engineering catalog data, acquiring river water level elevation from the geospatial data, and calculating tug-of-war height of each deep unloading object based on the spatial position information and the river water level elevation; The geological stage labeling module is used for mapping the tug-of-war heights of the deep unloading objects to the corresponding valley evolution stage times according to a predefined valley evolution stage sub-division rule, so that a stage label is allocated to each deep unloading object; the accumulated opening width calculation module is used for accumulating the opening widths of all deep unloading objects in each river valley evolution period according to the period to obtain an accumulated opening width reflecting the total geometric injury quantity of the period; the normalized damage intensity index calculation module is used for acquiring the number of main exploration projects for effectively controlling the corresponding elevation range of each river valley evolution period, and calculating the normalized damage intensity index of the period according to the accumulated opening width of the period and the number of the main exploration projects; The bank slope deep unloading quantitative evaluation module is used for calculating a deep unloading accumulated effect index representing the deep unloading accumulated development intensity of the bank slope of the target area in the valley evolution history based on the normalized damage intensity indexes of all valley evolution period times, and quantitatively evaluating the bank slope deep unloading of the target area according to the deep unloading accumulated effect index.

Description

Shore slope deep unloading quantitative evaluation method and system based on multi-period evolution model Technical Field The invention relates to the technical field of geological data analysis, in particular to a quantitative evaluation method and a quantitative evaluation system for bank slope deep unloading based on a multi-period evolution model. Background The deep unloading (also called deep cracking, deep cracking and deep unloading) widely developed in the interior of the bank slope is a special geological phenomenon closely related to the evolution history of the river valley. It is distributed in the micro-new rock mass inside the normal unloading zone, and is represented by the open-width of several millimeters to several tens of centimeters of unequal tensile or shearing fracture, and the loose section and the relatively complete section are alternately arranged. This phenomenon has been recognized as a key blind geological factor affecting the stability of engineering rock mass such as dam foundation, cavern, slope, etc. Therefore, the method has a great significance for safe site selection and construction of important engineering. At present, the method for evaluating deep unloading in engineering practice mainly depends on expert experience comprehensive classification method based on multi-source test data. The method represents the conventional practice in the field, and the typical flow is that firstly, deep unloading geometric parameters (such as crack width), geophysical parameters (such as longitudinal wave velocity, seismic wave CT images) and rock mass quality parameters (integrity index, RQD and the like) are collected at specific exploration points (such as a footril exposed surface), then, a geological engineer comprehensively examines the multi-source heterogeneous parameters, subjective study and judgment are carried out on the "relaxation degree" of the rock mass according to personal experience, and finally, qualitative classification labels such as strong relaxation, medium relaxation or slight relaxation are output. However, the above prior art solutions have the following drawbacks when serving the quantitative requirements of macroscopic decisions: First, the core decision depends on the personal experience of expert, and can not be refined into standardized and repeatedly executed mathematical algorithm, so that the evaluation result is different from person to person and lacks objective and consistent comparison standard. Secondly, the method can only describe and classify local points or zones directly revealed by the existing exploration engineering, discrete point information cannot be effectively aggregated, and a quantization index capable of continuously representing the whole bank slope or the whole risk level of the engineering area is generated. Thirdly, auxiliary parameters are obtained by seriously relying on high-cost investigation means such as seismic wave testing, fine core cataloging and the like, and the auxiliary parameters are difficult to quickly survey and transversely compare a large-range candidate area in a planning stage. In summary, although the current technology can realize the deep unloading 'microscopic diagnosis', a standardized technical system capable of realizing 'macroscopic measurement' is completely lacking. I.e. there is a lack of a solution that does not rely on expert subjective trade-offs, uses only the most central geometric data (width and position of flare), automatically generates the regional overall quantitative risk indicator by an algorithmic model. Disclosure of Invention The invention aims to solve the problems that the existing deep unloading evaluation method is low in efficiency and strong in subjectivity and cannot realize the overall quantitative evaluation of a bank slope, and provides a bank slope deep unloading quantitative evaluation method and system based on a multi-stage evolution model. The technical scheme adopted by the invention for solving the technical problems is as follows: in a first aspect, the invention provides a method for quantitatively evaluating bank slope deep unloading based on a multi-period evolution model, which comprises the following steps: Acquiring exploration engineering catalog data and geospatial data of a target area, extracting spatial position information and opening width of each deep unloading object from the exploration engineering catalog data, acquiring river water level elevation from the geospatial data, and calculating tug-of-war height of each deep unloading object based on the spatial position information and the river water level elevation; According to a predefined valley evolution period sub-division rule, mapping the tug-of-war heights of all deep unloading objects to corresponding valley evolution period sub-numbers, so that a period sub-label is allocated to each deep unloading object; accumulating the opening widths of all deep unloading objects in each river