Intelligent assignment method of material parameters for numerical calculation of three-dimensional geological model

Abstract

The application discloses a kind of three-dimensional geological model numerical calculation material parameter intelligent assignment methods, comprising: import three-dimensional geological model containing geological classification and index attribute, complete excavation and support design on model, using two, three-dimensional closed intersection technology generation inheritance attribute numerical calculation model;Automatic partition and classification processing are done to numerical calculation model;Different object groups in definition calculation model are used to define the key field of parameter index;Cloud geotechnical resource library for storing material parameters is constructed;Reinforcement design resource library including support scheme and industrial material library, reinforcement part library is constructed;Using three-dimensional visual software system, the above steps are completed by visual graphic operation;System supports the difference assignment of natural and saturated parameters on water level line, fracture integrity processing, reinforcement part level parameter association and resource library dynamic updating, the application realizes the quick conversion from three-dimensional geological model to numerical calculation model and material parameter intelligent assignment.

Description

Technical Field

[0001] This invention belongs to the field of intelligent design in geotechnical engineering, and specifically relates to an intelligent method for assigning material parameters in numerical calculations of three-dimensional geological models. Background Technology

[0002] Numerical calculation is an important and commonly used method for evaluating the safety of geotechnical engineering design schemes. For a long time, numerical calculation has been a relatively isolated "scientific research" step, independent of the production process. When conducting numerical calculations, it is often necessary to assign different physical and mechanical parameters to various materials simulated in the model, such as soil and rock masses, faults, and reinforcements. This work has historically relied on manual labor. With the upgrading of geotechnical engineering design methods to 3D design based on 3D geological models, it is possible to directly conduct numerical calculations based on 3D digital models. At this point, it is necessary to solve the problems of model conversion and automatic parameter assignment. This invention addresses the latter: based on the objects (strata, faults, reinforcements) included in the design model and their corresponding relevant index values, it intelligently assigns parameters after model conversion, which is one of the important links in the integration of "design-computation" and the realization of intelligent cloud computing.

[0003] Intelligent cloud computing is one of the innovative directions for the application of numerical simulation technology in geotechnical engineering, and it is also a hot research topic internationally. Patent CN118228451A discloses a method for implementing intelligent cloud computing, utilizing the characteristic that most current numerical simulation software uses command-stream files for driving. Its innovation lies in constructing a command-stream file generation and software-driving method applicable to different numerical simulation software, without involving the specific implementation technology. This invention focuses on the parameter assignment stage, using a relational database to construct a resource library and associating it with objects in the specific engineering numerical model through key fields. This completes the intelligent assignment of various material parameters in the calculation model, representing a continuation and deepening of the solution in patent CN118228451A. Summary of the Invention

[0004] This invention addresses the technical problems existing in the prior art by providing a method for intelligent assignment of material parameters in numerical calculations of three-dimensional geological models. This method is applicable to numerical calculations and intelligent assignment of material parameters in the geotechnical engineering design process within three-dimensional geological models.

[0005] The technical solution for implementing the present invention is as follows: The intelligent assignment method for material parameters in numerical calculation of a three-dimensional geological model includes the following steps: S100, importing a three-dimensional geological model with attributes, defining the excavation outline and support component design of geotechnical engineering in a parametric manner, and generating a numerical calculation model with a specified calculation range and boundary based on the model using two-dimensional and three-dimensional closed intersection technology. This calculation model inherits geological classification attributes, index attributes, and reinforcement identifiers; S200, performing automatic partitioning and classification processing on the numerical calculation model, mainly partitioning the stratigraphic materials according to the inherited geological classification attributes, partitioning the stratigraphic natural state and saturated state according to the distribution location of the groundwater level, and classifying industrial materials according to the reinforcement identifier; S300, defining key fields for parameter indexing for different object groups in the calculation model, mainly the material mechanical parameter indices corresponding to the strata, fractures, and reinforcements; S400, Construct a cloud-based geotechnical resource library for storing material parameters. The geotechnical resource library is constructed based on a relational database and includes geotechnical parameters and fracture parameters that are associated according to industry standards. S500: Construct a reinforcement design resource library containing support schemes, industrial material libraries, and reinforcement component libraries. The support schemes, industrial material libraries, and reinforcement component libraries conform to the hierarchical relationship required by the IFC standard. S600: Based on the attributes and their relationships integrated into the numerical calculation model, and using key fields as indexes, initiate a structured search to the cloud-based geotechnical resource library and reinforcement design resource library via API. After obtaining the corresponding physical and mechanical parameters, automatically complete the assignment of material parameters in the constitutive model. S700: Construct a three-dimensional visualization software system. This system accesses the geotechnical resource library deployed on the server via API interface and completes the visualization operations of model import, design, and parameter assignment on the client side.

[0006] Furthermore, the attribute-containing geological model described in S100 includes: geological classification attributes and index attributes. The geological classification includes the geometric outline of boundaries such as topography, stratigraphic lithology, geological structure, and groundwater level. The index attributes refer to the engineering geological zoning model and the corresponding related parameter values, including natural parameter values ​​above the groundwater level and saturated parameter values ​​below the groundwater level, which are specifically related to the geotechnical engineering type and industry design requirements.

[0007] Furthermore, in S200, the method of identifying the distribution location of groundwater level lines to divide the strata into natural and saturated states is as follows: the spatial relationship between the water level line and the material partition is recorded, the centroid coordinates of the grid cells within the same material partition are identified in the numerical calculation model, and the spatial relative position between the centroid and the preset water level line is determined to divide the strata.

[0008] Furthermore, the key fields and parameter associations of the soil and rock resource database described in S400 include: for rock masses, the rock mass quality grade is used as the key field to associate physical and mechanical parameters; for soil layers, the soil classification name is used as the key field to associate physical and mechanical parameters; and for fractures, the filling type is used as the key field to associate physical and mechanical parameters.

[0009] Furthermore, the geotechnical resource library and the reinforcement design resource library mentioned in S600 are both deployed on the server side and support dynamic updates. The parameter indicators in the geotechnical resource library are designed according to the principle of the greatest common divisor and cover the parameters specified by various geotechnical constitutive models and fracture constitutive models.

[0010] Furthermore, S600 also includes automatic assignment of water level parameters: recording the spatial relationship between the water level line and the material partition, identifying the centroid coordinates of the grid cells within the same material partition in the numerical calculation model, determining and marking the spatial relative position between the centroid and the preset water level line, and assigning differentiated values ​​based on the geological classification attributes inherited by the grid cells and the water level markers, respectively associating them with the natural parameters and saturation parameters in the soil and rock resource database.

[0011] Furthermore, the 3D visualization software system described in S700 is based on a B / S or C / S architecture, and the 3D visualization environment is built using WebGL or OpenGL technology, supporting the following operations: importing a 3D geological model with attributes and maintaining attribute associations; directly designing excavation outlines and reinforcement layouts on the 3D geological model, with reinforcement components associated with the geotechnical resource library to obtain parameters; performing 2D or 3D cutting on the 3D design model, with the ground strata intersecting with the model boundary after cutting to form material partitions, each partition being associated with the geotechnical resource library based on key fields and automatically assigned parameters, allowing parameter adjustment.

[0012] Beneficial effects: 1. This invention constructs a geotechnical resource database based on a relational database, automatically linking and assigning physical and mechanical parameters using key fields as indexes. This replaces the traditional manual method of assigning values ​​one by one, significantly improving the efficiency of parameter assignment. Furthermore, the parameters in the resource database are derived from industry standards and technical specifications, ensuring the rationality and compliance of the assignment results and avoiding subjectivity, arbitrariness, or errors caused by manual operations.

[0013] 2. This invention relies on a three-dimensional geological model with attributes and employs a two-dimensional / three-dimensional closed intersection technique to rapidly generate a numerical calculation model. During this process, it inherits the classification and index attributes of the geological and design models, thereby achieving intelligent assignment of material parameters. This effectively solves the industry pain point of difficulty in interaction between geology, design, and numerical calculation, providing key technical support for intelligent cloud computing based on three-dimensional digital models.

[0014] 3. This invention not only assigns values ​​to the basic physical and mechanical parameters of strata and fractures, but also automatically identifies the computational grids above and below the water level in the same material zone in the numerical calculation model by recording the spatial relationship between the water level line and the material zone, and associates them with the natural parameters and saturated parameters in the rock and soil resource database, thereby realizing the refined and differentiated automatic assignment of material parameters under the influence of water level.

[0015] 4. The geotechnical resource database of this invention is deployed on the server side using a B / S or C / S architecture and accessed through a unified API interface. This standardizes the digital operation process and enables cross-disciplinary data interaction, avoiding data silos. Simultaneously, the industrial materials library, reinforcement components, and support schemes in the resource database support dynamic updates and can comprehensively output cost estimates, facilitating dynamic evaluation and optimization throughout the design and construction process. Attached Figure Description

[0016] Figure 1 A flowchart of an intelligent assignment method for material parameters in numerical calculation of a three-dimensional geological model, provided in an embodiment of the present invention; Figure 2 A schematic diagram of the key fields of fracture parameters and the corresponding physical and mechanical parameters of the geotechnical resource database developed based on a relational database, provided for embodiments of the present invention. Figure 3 This is a schematic diagram illustrating the conversion of a three-dimensional geological model into a three-dimensional numerical calculation model, as provided in an embodiment of the present invention. Figure 4 This is a schematic diagram of the software system architecture provided in an embodiment of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0018] This invention provides a method for intelligently assigning material parameters in numerical calculations of three-dimensional geological models. For example... Figure 1 As shown, the method includes: S100, import a three-dimensional geological model containing attributes, including at least the strata and their corresponding physical and mechanical parameters; The imported 3D geological model attributes include geological classification attributes and index attributes. The classification attributes of the 3D geological model include the geometric contours of boundaries such as topography, stratigraphic lithology, geological structure, groundwater level, and the dividing lines between completely weathered, strongly weathered, and weakly weathered areas. Index attributes refer to the engineering geological zoning model and its corresponding parameter values, including natural parameter values ​​above the groundwater level and saturated parameter values ​​below the groundwater level, which are specifically related to the geotechnical engineering type and industry design requirements. Furthermore, physical and mechanical parameters are stored and managed in the form of database forms. These parameters are the input parameters required for geotechnical engineering mechanics calculations and mainly include unit weight, deformation parameters (elastic modulus E, Poisson's ratio μ, structural surface normal stiffness Kn, structural surface tangential stiffness Ks, etc.) and strength parameters (cohesion c, friction coefficient f, etc.). S101, Based on the engineering requirements, the geotechnical engineering excavation outline and support design are completed on the basis of the three-dimensional geological model; The support scheme consists of one or more reinforcement components, which are composed of one or more industrial materials, each of which has its specifications, grade, and corresponding physical and mechanical parameter values ​​recorded.

[0019] The support scheme, industrial materials library, and reinforcement component library together constitute the reinforcement design resource library. The three are hierarchically related according to IFC standards. The industrial materials library contains industrial materials produced by manufacturers of steel bars, steel strands, steel plates, and structural steel. The steel bars in the library cover different types (threaded steel bars, round steel bars, etc.), grades (HPB, HRB, HRBF, etc.), and performance indicators of steel bars on the market, and can be customized and expanded. The reinforcement component library is composed of various industrial materials. Taking "anchor bolts" as an example, they are composed of "steel bars," "anchor plates," and "mortar" of a specified type from the industrial materials library. The material form and mechanical parameters of the reinforcement component are comprehensively defined according to industry standards and technical requirements. The support scheme automatically recommends a layout design scheme with multiple reinforcement component combinations based on the engineering geological conditions of the specified slope area, as well as the project level, scale, and site conditions. The reinforcement component combination can be readjusted according to the recommended reinforcement scheme to effectively control construction costs while meeting the safety requirements of the support design.

[0020] S102, based on the design model results including geological conditions, uses two- or three-dimensional closed intersection technology to generate a two- or three-dimensional numerical calculation model including the calculation boundary. The two-dimensional tangent closure is a strictly closed two-dimensional region formed by finding closed loops based on the tangent relationships between irregular polylines in the two-dimensional engineering drawing and their tangent relationships with specified boundaries. That is, it generates a two-dimensional calculation model including the calculation boundary, which meets the material partitioning requirements in mechanical calculations.

[0021] like Figure 3The diagram illustrates a three-dimensional intersection closure. Three-dimensional intersection closure includes collinear intersection closure (collinear intersection between surfaces) and concurrent intersection closure (convergent intersection between surfaces). When irregular spatial surfaces intersect each other, since the geometry of the surfaces is determined by the mesh spatial connection relationship, finding the intersection between surfaces actually involves finding the intersection of a large number of meshes. This invention requires that the intersection between surfaces not only share common lines but also common nodes, i.e., concurrent intersection closure. The implementation process for concurrent intersection closure of intersecting meshes is as follows: 1) Calculate the intersection points where the mesh boundaries intersect each other; 2) Sort the intersection points to form intersection lines and identify the faces that need to be cut into two parts; 3) Copy the intersection points; the two intersection points each belong to one part of the clipped surface. 4) Connect the intersections belonging to each part according to the sorting results; 5) At the same time, the meshes of the two adjacent intersection lines after being clipped are optimized, and each node of the intersection line is shared by the meshes on both sides, so as to achieve common point intersection.

[0022] The fracture in the calculation model inherits the classification attributes from the geological model and can be associated with the index attributes; when the calculation model includes reinforcement components, it inherits the classification attributes from the design model, namely material type, specifications and grade, thereby associating them with the index attributes of the reinforcement material.

[0023] S200 performs automatic partitioning and classification processing on numerical calculation models. It mainly partitions stratigraphic materials based on inherited geological classification attributes, identifies the distribution location of groundwater level lines to partition stratigraphic natural and saturated states, and classifies industrial materials by judging the identification of reinforcement components. The automatic zoning process utilizes the boundary lines in the design results as model boundaries, combined with weathering degree boundaries, and generates lithological models of multiple material zones based on spatial topological relationships and cutting closure algorithms. The design results also include fractures F1, F2, and F3. The two endpoints of fracture F1 intersect the bottom boundary of the slope and the boundary between fully weathered and strongly weathered areas, meaning that fracture F1 traverses all the material zones it passes through. The two endpoints of fracture F2 intersect the boundary between fully weathered and strongly weathered areas and fracture F1, respectively, meaning that fracture F2, in combination with fracture F1, also traverses all the material zones it passes through. The lower endpoint of fracture F3 does not intersect with other boundaries, so a horizontal auxiliary line is introduced to intersect the lower endpoint of fracture F3 to maintain the original shape of fracture F3. The auxiliary line adopts the same constitutive model as the fracture but is given higher strength parameters to maintain the continuity of the rock mass. By introducing the auxiliary line, the corresponding fracture models are formed by cutting together on the basis of the lithological model.

[0024] Furthermore, if the design results also include water level, the water level line does not directly participate in the process of generating material partitions for lithology models and fracture models, but records the material partitions through which the water level line passes, establishes the relationship between water level and material partitions, and facilitates the identification of different parts of the computational grid above and below the water level in the same material partition when generating numerical models, and then performs differentiated grouping and value assignment. Automatic classification of reinforcement component identifiers: The reinforcement scheme is composed of reinforcement components combined according to certain design parameters, and the reinforcement components are made of corresponding materials. After specifying one or more reinforcement components to form a reinforcement scheme, the reinforcement component identifier is linked to the industrial material database form. S300 defines the key fields used for parameter indexing in different object groups in the computational model, mainly the material mechanical parameters corresponding to the formation, fracture, and reinforcement: For rock masses, the rock mass quality grade is used as the key field to associate physical and mechanical parameters; for soil layers, the soil classification name is used as the key field to associate physical and mechanical parameters; for fractures, the filling type is used as the key field to associate physical and mechanical parameters. S400, Construct a cloud-based geotechnical resource database to store material parameters. This database is built on a relational database and includes geotechnical mass parameters and fracture parameters linked according to industry standards. Following the approach of constructing a relational database, the key fields for inclusion in the geotechnical resource database are first determined based on their applicability to all specific projects. Then, the regulations of different industry standards and technical specifications are used as reference values. Finally, the relationships between the key fields and the reference values ​​are established according to the rules and requirements that should be followed. When assigning parameter values, the key fields of the specific project are used as indexes to retrieve the reasonable range of design parameter values ​​from the geotechnical resource database, which are then used as recommended values ​​for the design parameters.

[0025] According to industry standards, the following relationships are established between different types and grades of soil and rock masses and their physical and mechanical parameters under natural and water-saturated conditions: for soil layers, the soil classification name is used as the key field to establish a relationship with each soil layer in a specific project; for rock masses, the field reflecting the rock mass quality grade is used as the key field to establish a relationship with each stratum in a specific project. According to industry standards, the following correlation is established between faults with different filling types and their physical and mechanical parameters under natural and water-saturated conditions: the fault filling type (cemented structural surface, unfilled structural surface, rock block and rock fragment type, rock fragment and mud type, mud and rock fragment type, mud type) is the key field for establishing the correlation. The resource library contains a number of parameters, taking into account commonly used constitutive and strength criteria in geotechnical engineering, and designed according to the principle of the greatest common divisor. Parameters specified by geotechnical constitutive models include: cohesion c, friction coefficient f, and tensile strength as specified in the Mohr-Coulomb elastoplastic constitutive model; uniaxial compressive strength, lithological indices, and geological strength index GSI as specified in the Hoek-Brown elastoplastic constitutive model; and parameters specified by fracture constitutive models include: cohesion c, friction coefficient f, and tensile strength T as specified in the Mohr-Coulomb joint constitutive model; and commonly used normal stiffness Kn and tangential stiffness Ks. S500, construct a reinforcement design resource library that includes support schemes, industrial material libraries, and reinforcement component libraries, wherein the support schemes, industrial material libraries, and reinforcement component libraries conform to the hierarchical relationship required by IFC standards; This system records commonly used reinforcement components, their corresponding industrial material compositions, and the specifications, grades, and corresponding physical and mechanical parameters of each industrial material. The industrial material database originates from industrial materials (reinforcing bars, steel strands, steel plates, structural steel, etc.) produced by manufacturers, and records the specifications, material grades, geometric shapes, unit prices, and mechanical properties of each material. The industrial material database, reinforcement components, and support schemes support dynamic updates, allowing for adjustments to design parameters and market unit prices at any time. The resource library can calculate and output a total cost list based on the unit prices of each reinforcement component in the overall design scheme, facilitating dynamic evaluation and optimization throughout the entire design and construction process of a single project.

[0026] S600, based on the attributes and their relationships integrated in the numerical calculation model, uses key fields as indexes to initiate structured searches to the cloud-based geotechnical resource library and reinforcement design resource library via API. After obtaining the corresponding physical and mechanical parameters, it automatically completes the assignment of material parameters in the constitutive model. Stratigraphy, fault zoning, and automatic value assignment: Based on topological relationships and cutting closure algorithms, the 3D geological model is comprehensively generated into a lithological model containing five material zones: fully weathered andesite, strongly weathered andesite, weakly weathered andesite, slightly weathered andesite, and fresh andesite. When generating fault models based on the lithological models, auxiliary lines are introduced to jointly cut and form corresponding F1, F2, and F3 fault models on the basis of the lithological models. Taking andesite as an example, the key field of rock mass quality (Grades I to V) in the rock and soil resource database is linked to the physical and mechanical parameters of the calculation model corresponding to the rock mass quality for intelligent value assignment. The F1, F2, and F3 fault models are automatically linked to different infill structure types. Figure 2 Similarly, when assigning parameter values ​​to other material zones in the 3D geological model, the physical and mechanical parameter values ​​shown are also associated with the recommended physical and mechanical parameter values ​​in the soil and rock resource library, based on the soil and rock type and rock mass quality as key fields.

[0027] If the design results also include water level, the water level line does not directly participate in the process of generating material partitions for lithology and fracture models, but records the material partitions through which the water level line passes, establishes the relationship between water level and material partitions, and facilitates the identification of different parts of the computational grid above and below the water level in the same material partition when generating numerical models, and then performs differentiated grouping and value assignment, respectively associating with the database forms of physical and mechanical parameters, and automatically assigning values ​​to the natural parameters (above the water level line) and saturation parameters (below the water level line) of the strata and fractures; Reinforcement component design parameter assignment: The industrial material library, reinforcement components, and reinforcement schemes in S500 follow the hierarchical relationship required by IFC standards: a reinforcement scheme is composed of reinforcement components combined according to certain design parameters, and the reinforcement components are processed and assembled from corresponding materials. Reinforcement component design parameters include geometric parameters (anchor diameter, length, etc.) and physical and mechanical parameters. After specifying one or more reinforcement component combinations to form a reinforcement scheme, it is linked to the industrial material database form, and the geometric and physical and mechanical parameters are automatically assigned.

[0028] S700 is used to build a 3D visualization software system. The system adopts a B / S or C / S architecture, and the 3D visualization environment is built using WebGL or OpenGL technology. like Figure 4 As shown, the software system that implements the above steps adopts a B / S or C / S architecture. The geotechnical resource library and the reinforcement design resource library are deployed on the S (server) side, and the 3D visualization operation is completed on the B (web page) or C (client) side. Access to the S-side resource library is achieved through API interface.

[0029] The 3D visualization environment is built using WebGL or OpenGL technology and consists of a 3D viewport and common controls. 3D visualization operations are performed on the B (web page) or C (client) side, supporting the following operations: Import a 3D geological model containing attributes, and maintain the association between the model and the attributes after import; Based on the three-dimensional geological model, the slope excavation outline design and reinforcement layout design are carried out directly. The reinforcement components are associated with the resource library of the S end to obtain the corresponding parameter values ​​and complete intelligent assignment. It supports two-dimensional or three-dimensional cutting of slope three-dimensional design models containing geological information, and the two-dimensional and three-dimensional outer contours formed by the cutting are assigned classification attributes of lateral boundary and bottom boundary; After the closed cutting, the ground surface intersects with the model boundary to form material partitions. Each partition can be associated with the S-end resource library based on fields such as soil layer classification name or rock mass quality to obtain the parameter values ​​recommended by the specifications. This allows for adjustment according to specific engineering characteristics and automatic assignment to the corresponding material partitions (including natural and saturated zones). The fracture in the calculation model is linked to the resource library at the S end to obtain the parameter values ​​recommended by the specifications. This allows for adjustment and automatic assignment to the part above or below the water level of the corresponding fault, based on the specific engineering characteristics.

[0030] In summary, the above are merely preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for intelligent assignment of material parameters in numerical calculation of a three-dimensional geological model, characterized in that, Includes the following steps: S100: Import a 3D geological model with attributes, define the excavation outline and support component design for geotechnical engineering in a parametric manner, and generate a numerical calculation model with a specified calculation range and boundary using two-dimensional and three-dimensional closed intersection technology based on this model. This calculation model inherits geological classification attributes, index attributes, and reinforcement identifiers. S200: Perform automatic partitioning and classification processing on the numerical calculation model, mainly partitioning the stratigraphic materials according to the inherited geological classification attributes, partitioning the stratigraphic natural state and saturated state according to the distribution location of the groundwater level, and classifying industrial materials according to the reinforcement identifier. S300: Define key fields for parameter indexing for different object groups in the calculation model, mainly the material mechanical parameter indices corresponding to the strata, fractures, and reinforcements. S400, Construct a cloud-based geotechnical resource library for storing material parameters. The geotechnical resource library is constructed based on a relational database and includes geotechnical parameters and fracture parameters that are associated according to industry standards. S500: Construct a reinforcement design resource library containing support schemes, industrial material libraries, and reinforcement component libraries. The support schemes, industrial material libraries, and reinforcement component libraries conform to the hierarchical relationship required by the IFC standard. S600: Based on the attributes and their relationships integrated into the numerical calculation model, and using key fields as indexes, initiate a structured search to the cloud-based geotechnical resource library and reinforcement design resource library via API. After obtaining the corresponding physical and mechanical parameters, automatically complete the assignment of material parameters in the constitutive model. S700: Construct a three-dimensional visualization software system. This system accesses the geotechnical resource library deployed on the server via API interface and completes the visualization operations of model import, design, and parameter assignment on the client side.

2. The method according to claim 1, characterized in that, The attribute-containing geological model described in S100 includes: geological classification attributes and index attributes. The geological classification includes the geometric outline of the boundaries of topography, stratigraphy, geological structure, groundwater level, etc. The index attributes refer to the engineering geological zoning model and the corresponding related parameter values, including natural parameter values ​​above the groundwater level and saturation parameter values ​​below the groundwater level, which are specifically related to the geotechnical engineering type and industry design requirements.

3. The method according to claim 1, characterized in that, S200 describes identifying the distribution location of groundwater level lines to partition the strata into natural and saturated states: recording the spatial relationship between the water level line and the material partition, identifying the centroid coordinates of grid cells within the same material partition in the numerical calculation model, and determining the spatial relative position between the centroid and the preset water level line to perform partitioning.

4. The method according to claim 1, characterized in that, The key fields and parameter associations of the geotechnical resource database described in S400 include: for rock masses, rock mass quality grade as the key field associated with physical and mechanical parameters; for soil layers, soil classification name as the key field associated with physical and mechanical parameters; and for fractures, filling type as the key field associated with physical and mechanical parameters.

5. The method according to claim 1, characterized in that, The geotechnical resource library and reinforcement design resource library mentioned in S600 are both deployed on the server and support dynamic updates. The parameter indicators in the geotechnical resource library are designed according to the principle of the greatest common divisor and cover the parameters specified by various geotechnical constitutive models and fracture constitutive models.

6. The method according to claim 5, characterized in that, S600 also includes automatic assignment of water level parameters: recording the spatial relationship between the water level line and the material zone, identifying the centroid coordinates of the grid cells in the same material zone in the numerical calculation model, determining the spatial relative position between the centroid and the preset water level line and marking it, and assigning differentiated values ​​based on the geological classification attributes inherited by the grid cells and the water level markers, associating them with the natural parameters and saturation parameters in the rock and soil resource database.

7. The method according to claim 1 or 6, characterized in that, The 3D visualization software system described in S700 is based on a B / S or C / S architecture. The 3D visualization environment is built using WebGL or OpenGL technology and supports the following operations: importing a 3D geological model with attributes and maintaining attribute associations; directly designing excavation outlines and reinforcement layouts on the 3D geological model, with reinforcement components linked to the geotechnical resource library to obtain parameters; performing 2D or 3D cutting on the 3D design model, with the intersection of the ground strata and the model boundary after cutting forming material partitions, each partition being linked to the geotechnical resource library based on key fields and automatically assigned parameters, allowing parameter adjustment.

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