Intelligent design method and system for rail transit box type frame structure

Abstract

The invention discloses an intelligent design method and system for a rail transit box type frame structure, and belongs to the technical field of rail transit. According to the method, a three-dimensional BIM model is constructed based on a CAD building base map and stratum information, and automatic design and optimization of an enclosure structure and a main body structure are achieved by integrating calculation software such as a righting deep foundation pit and SAP2000. The method specifically comprises the following steps: 1) constructing a virtual three-dimensional model containing a primarily designed main body structure transverse and longitudinal section and an enclosure structure section through layer identification, and realizing dynamic binding of the structure and stratum information; 2) completing overall calculation, anti-floating checking calculation and component reinforcement optimization of the section of the enclosure structure by using an intelligent algorithm; 3) realizing automatic recommendation of section reinforcement of the main body structure based on multi-working-condition internal force analysis; and 4) connecting the CAD drawing platform with the data flow of the calculation software, and automatically generating a calculation book, a drawing and a three-dimensional BIM model. According to the method, the problems of data splitting, repeated input and the like in traditional design are solved, and the design efficiency and normalization are remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of rail transit, and relates to an intelligent design method and system for a box frame structure of rail transit. More specifically, it relates to an intelligent design method and system for a box frame structure integrating CAD drawing, structural calculation, and BIM modeling. Background Art

[0002] The design work of the box frame structure of urban rail transit includes two parts: the design of the retaining structure and the design of the main structure. The general process is as follows: The designer first determines the main structure scheme, initially determines the dimensions of the main structure components, and stabilizes the contour of the foundation pit; then conducts the detailed design of the retaining structure, including two parts: the calculation and drawing of the retaining structure; then conducts the detailed design of the main structure, including two parts: the calculation and drawing of the main structure.

[0003] The calculation of the main structure is a complex and meticulous process, including the calculation of typical cross-sections, longitudinal sections, and other special parts. Different calculation methods need to be used, and an envelope design needs to be carried out for multiple working condition combinations. Generally, the designer selects multiple cross-sections and conducts finite element modeling calculations one by one to obtain the internal forces of the slabs and walls, and conducts reinforcement calculations based on the internal force results. The reinforcement needs to consider strength checking and crack checking. The internal force calculation process needs to include multiple working condition combinations (such as normal load condition, earthquake condition, high water level condition, low water level condition, etc.). Similar to the cross-section calculation, the designer also needs to select multiple longitudinal sections according to the beam-column layout for multi-condition calculations of the beam-column structure, and conduct reinforcement calculations based on the internal force calculation results. Then, after conducting special calculations for special parts of the structure (such as the beam beside the floor slab hole, the construction stage of the shield well, the driving slab, the embedded parts, etc.), the calculation book is sorted out, and the drawing is completed on the CAD platform, and the 3D modeling is completed on the REVIT platform.

[0004] In the traditional design process, 2D drawing and 3D modeling are separated, as are calculations and drawing. Multiple computing software programs are also separated, as are enclosure and main structure design, and structural and ground information. This leads to extensive duplication of work. For example, the design process is fragmented, enclosure and main structure design are independent, and structural and ground information is not integrated, making it easy to miss information. Drawing and modeling are separated, requiring CAD drawings to be re-modeled in REVIT, resulting in duplication of effort. Calculations and drawing are separated, requiring repeated input of structural geometry into the computing software. Reinforcement information must also be manually drawn after calculations, increasing the risk of errors. The computing software is not integrated, requiring component verification using other tools after finite element calculations, resulting in repeated information entry. Information is not shared and cannot be updated synchronously, requiring repeated input of main and enclosure component information and ground parameters. Anti-floating design is prone to missing working conditions, and the loose connection between structural and ground information requires manual input of ground parameters and load calculations. These issues lead to low design efficiency and a high risk of errors, making them unable to meet the needs of modern rail transit construction. Summary of the Invention

[0005] In response to the above-mentioned defects or improvement needs of the prior art, the present invention provides an intelligent design method for rail transit box-type frame structures, which opens up the data flow between the traditional CAD drawing platform and the enclosure structure calculation and the main structure calculation. Without changing the designer's drawing habits, it uses plug-ins to assist in drawing, and batch imports calculations. The calculation results are then returned for automatic drawing and automatic generation of three-dimensional models, realizing system connection of the entire design process and realizing the automation and intelligence of calculation, drawing and modeling.

[0006] To achieve the above objectives, according to one aspect of the present invention, a method for intelligent design of a rail transit box-type frame structure is proposed, which is characterized by comprising the following steps:

[0007] Step 1: Based on the CAD building base map and stratum information, a virtual 3D model including the preliminary designed main structure horizontal and vertical sections and enclosure structure sections is constructed;

[0008] Step 2: Calculate and pre-design the reinforcement of the maintenance structure section to obtain a stable maintenance structure section, perform anti-floating and maintenance component verification for the stable maintenance structure section, update the maintenance structure section information and generate a calculation sheet;

[0009] Step 3: Based on the updated maintenance structure section, perform multi-condition internal force calculations on the horizontal and vertical sections, automatically optimize the reinforcement scheme based on the preset reinforcement rules, and automatically generate the main structure calculation report;

[0010] Step 4: Generate the enclosure structure cross-section drawing, main structure template drawing, reinforcement drawing, and three-dimensional BIM model.

[0011] As further preferred, step one includes the following steps:

[0012] (11) Using layer and graphic recognition methods, the main structural information and geometric information of the CAD building base map are stored in the database;

[0013] (12) Matching the longitudinal section of the main structure with the geological longitudinal section to adhere the stratum to the main structure;

[0014] (13) Draw the horizontal and vertical sections of the main structure and automatically generate numbers and drawings, and update the corresponding drilling information and stratigraphic data;

[0015] (14) Arrange enclosure components based on the cross section of the main structure, generate the cross section of the enclosure structure and store it in the database;

[0016] (15) Export the data files of the enclosure structure cross section, main structure cross section, main structure longitudinal section and associated stratigraphic information in the drawing module;

[0017] (16) Export standardized data files of horizontal and vertical sections and stratigraphic information to construct a virtual three-dimensional data model.

[0018] As a further preference, in step (12), based on any matching reference point, the longitudinal section of the main structure and the geological longitudinal section are aligned in the same ratio to adhere the stratum to the main structure.

[0019] As further preferred, step (13) comprises the following steps:

[0020] (131) Main cross-section drawing: specify the applicable range of the cross-section, then automatically generate cross-section numbers at the start and end positions of each range and generate cross-sections at the corresponding positions. The remaining drawings realize the linkage of section numbers and synchronize the updates based on the corresponding positions of the axis network. The drilling information and structural cross-section of the section position are automatically drawn. At the same time, the geometric and stratigraphic information of all sections are stored in the database to prepare for subsequent calculations.

[0021] (132) Longitudinal section drawing: Draw the section position in any drawing, and link the section numbers in the other drawings to automatically draw the structural longitudinal section. At the same time, the geometric and stratigraphic information of all sections will be stored in the database to prepare for subsequent calculations.

[0022] As further preferred, step 2 includes the following steps:

[0023] (21) Convert the exported retaining structure cross-section information data file into the input format of the Lizheng deep foundation pit software and import it into the Lizheng software for batch calculation of retaining structure cross-sections. Stabilize the cross-section arrangement of retaining components through the calculation of the Lizheng deep foundation pit, and return the Lizheng calculation results to the drawing end to adjust the retaining cross-sections.

[0024] (22) Import the calculated cross-section of the retaining structure completed in the previous step into the calculation terminal and enter the anti-floating module for overall anti-floating calculation, and complete the layout of anti-floating components through interaction;

[0025] (23) Calculate the internal forces of the retaining structure components according to the component types and complete the reinforcement design or check the selection;

[0026] (24) Import the reinforcement or selection results into the CAD terminal for automatic update of the cross-section drawing of the retaining structure and automatic drawing of the component detail drawings.

[0027] As a further optimization, in step (23), the component types are divided into concrete components and steel components. Among them, the concrete components include retaining walls, capping beams, coping beams, concrete supports, concrete wales, column piles, retaining piles / diaphragm walls, and glass fiber reinforced piles, and the steel components include steel supports, steel wales, steel connecting beams, and lattice columns.

[0028] As a further optimization, in step (23), an intelligent algorithm is used to perform multi-objective optimization on the reinforcement scheme to generate the optimal reinforcement design scheme, select the combination with the largest reinforcement among all the optimal reinforcement design scheme combinations as the control condition, and at the same time perform structural checks according to the specifications to back-calculate the rationality of the reinforcement.

[0029] As a further optimization, step three includes the following steps:

[0030] (31) Import the data files of the cross-section, longitudinal section of the main structure and the associated formation borehole information into the calculation terminal;

[0031] (32) Input the personalized information of the cross-section of the main structure, including whether the retaining structure participates in bearing lateral water and soil loads, the reduction parameters of the retaining structure, whether the general cross-section load uses the public area load or the equipment area load, and the special cross-section load;

[0032] (33) Export all the data files of the cross-section calculations, use SAP2000 to batch calculate the internal forces of the main cross-section under multiple working conditions, and import the internal force results into the calculation web terminal;

[0033] (34) Calculate the reinforcement of the main cross-section, automatically check each component of each main cross-section according to the preset reinforcement, for the main cross-sections that do not meet the requirements, incrementally check each reinforcement model one by one and give the recommended reinforcement results;

[0034] (35) Calculate the internal forces of the longitudinal section, automatically supplement and fill in the longitudinal section information according to the cross-section, longitudinal section of the main structure and the associated formation borehole information exported in step one, read the associated cross-section loads, form all the data files of the longitudinal section calculations, and use SAP2000 to batch calculate the internal forces under multiple working conditions;

[0035] (36) Longitudinal section reinforcement calculation, automatically complete the drawing of the internal force diagram on the web page, and automatically check each component of each section according to the preset reinforcement. For the calculation sections that do not meet the requirements, incrementally check each reinforcement model one by one, and give the recommended reinforcement results;

[0036] (37) Generate the main structure calculation book and return the calculation results to the CAD side for automatic drawing.

[0037] As a further optimization, step four includes the following steps:

[0038] (41) Retaining section drawing adjustment, by importing the results of Lizheng deep foundation pit calculation software and web page calculation software, the software automatically adjusts the initially proposed retaining section to form a retaining section consistent with the calculation results;

[0039] (42) Retaining component detail drawing drawing, according to the results of the web page calculation software, supplement some non-calculation control parameters, draw the detail drawings of concrete components. Similarly, automatically select the corresponding detail drawings in the steel structure component library and insert them into the drawings to complete the detail drawing drawing;

[0040] (43) Draw the retaining structure section drawing, the main structure formwork drawing and the structural steel bar drawing, and generate the 3D BIM models of the retaining structure and the main structure based on this.

[0041] According to another aspect of the present invention, there is also provided an intelligent design system for a rail transit box frame structure, including:

[0042] The first main control module is used to construct a virtual 3D model including the transverse and longitudinal sections of the main structure and the retaining structure section in the preliminary design based on the CAD building base map and the formation information;

[0043] The second main control module is used to calculate and pre-design the reinforcement of the retaining structure section to obtain a stable retaining structure section, perform anti-floating and retaining component checks on the stable retaining structure section, update the retaining structure section information and generate a calculation book;

[0044] The third main control module is used to perform multi-condition internal force calculations on the transverse and longitudinal sections based on the updated retaining structure section, automatically optimize the reinforcement scheme in combination with the preset reinforcement rules, and automatically generate the main structure calculation book;

[0045] The fourth main control module is used to generate the retaining structure section drawing, the main structure formwork drawing and the steel bar drawing, and the 3D BIM model.

[0046] In general, compared with the existing technology, the above technical solution conceived by this invention opens up the data flow between the traditional CAD drawing platform and the enclosure structure calculation and main structure calculation. Without changing the designer's drawing habits, it uses plug-ins to assist in drawing, and batch import calculations, and then returns the calculation results to automatically draw and automatically generate 3D models. This realizes the system connection of the entire design process and realizes the automation and intelligence of calculation, drawing, and modeling. The specific technical results are as follows:

[0047] 1. Data import from the drawing platform to the calculation software has been streamlined, enabling automatic calculations. Traditional design requires designers to complete drawings in CAD and then manually model and calculate on the calculation platform. This calculation platform uses CAD 3D drawing recognition to generate calculation sections and stratum conditions, which are automatically imported into the calculation software for automated modeling. When calculating retaining structures, the deep foundation pit is imported for cross-section calculations, and the component calculations are imported into the web calculation terminal. When calculating the main structure, internal forces are automatically calculated according to customized working conditions and load combinations, improving efficiency while ensuring the accuracy and standardization of the calculations.

[0048] 2. The data export from the calculation software to the drawing platform is opened up to realize automatic drawing: by importing the calculation result file into CAD, the enclosure structure drawing and the main structure cross-section reinforcement drawing are automatically drawn, and the initially planned enclosure cross-section is automatically adjusted.

[0049] 3. Achieved through-design of main structure calculations and automatic reinforcement: Traditional design often requires designers to perform modeling and analysis in finite element calculation software, and then manually copy the calculation results into the reinforcement calculation software for reinforcement calculation. This greatly increases the designer's repetitive work and makes it difficult to ensure accuracy. This calculation platform, through the self-developed automatic modeling module and cross-section automatic reinforcement module of the finite element calculation software SAP2000, realizes the integrated design of the main structure's cross-section and longitudinal section internal force calculation and reinforcement. The data automatically flows, greatly improving the designer's work efficiency and ensuring the accuracy and standardization of the calculation.

[0050] 4. A through-design of enclosure structure calculations is realized, and automatic reinforcement and selection are achieved: by importing the initially planned enclosure structure section into the correction, and then importing the correction calculation results back into CAD, the enclosure section layout calculation and adjustment are realized; by importing the section into the web calculation terminal, and then importing the calculation results back into CAD, the systematic calculation of components and the drawing of component details are realized.

[0051] 5. Data linkage for anti-floating, enclosure, and main structure calculations is achieved, automatically generating calculation reports. Currently, due to the different enclosure and main structure calculation software used in design calculations, data cannot be interoperable. Designers need to repeatedly enter shared data for enclosure and main structure calculations, wasting a lot of time. This calculation software realizes the linkage of anti-floating, enclosure, and main structure calculations. Using an integrated calculation platform, data interoperability between multiple calculation software is achieved, eliminating the need for designers to repeatedly enter and modify data, and automatically generating calculation reports.

[0052] 6. The present invention realizes the anti-floating design of underground structures based on collaborative calculation. Its technical core lies in constructing a three-dimensional collaborative analysis mechanism of anti-floating calculation and main structure and enclosure structure, which effectively solves the systematic defects existing in traditional design methods.

[0053] 7. The present invention establishes the correspondence between strata and structures, and realizes automatic extraction of stratum information. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a flow chart of an intelligent design method for a rail transit box-type frame structure involved in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely for the purpose of explaining the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

[0056] like Figure 1 As shown, an embodiment of the present invention provides an intelligent design method for a rail transit box-type frame structure, comprising the following steps:

[0057] Step 1: Import the building basemap into CAD, process it, and automatically create horizontal and vertical sections of the main structure. Select a portion of the main cross-section to arrange the enclosure structure, creating a cross-section of the enclosure structure. Link the structure to the geological longitudinal section to automatically obtain stratigraphic information for each cross-section. Combine these cross-sections to create a 3D BIM model.

[0058] Step 2: Import the retaining structure section into the retaining structure calculation software for section calculation, and return the calculation results to the modified section. Then, perform anti-floating and retaining component verification on the stable retaining structure section. Return the verification results to the CAD auxiliary drawing and automatically generate a calculation report.

[0059] Step 3: Perform multi-condition internal force calculations for the cross-sections of the main structure adjusted through enclosure (including anti-floating) calculations, and conduct reinforcement checking calculations on the envelope results of the internal force calculations. The calculation results are imported back to CAD for auxiliary drawing, and a calculation book is automatically generated.

[0060] Step 4: After all the geometric and reinforcement information of the main structure and the enclosure structure has been determined, return to the CAD terminal, and automatically complete the structure formwork drawing, the reinforcement drawings and details of components such as slabs, walls, beams, and columns, the reinforcement drawings and details of enclosure components such as retaining piles, and select the corresponding details of steel components from the atlas.

[0061] The method is further described below.

[0062] Step 1 is drawing processing, recognition, and information acquisition, which is completed at the CAD terminal and specifically includes the following steps:

[0063] (1) Based on the drawings provided by the architectural specialty, the structural specialty deletes the remaining information, only retains the relevant content required for the structure, and preliminarily draws the longitudinal beams and gives the dimensions of relevant components according to experience. Through the specified layer and graphic recognition technology, the component information and geometric information of the structure are stored in the database to prepare for subsequent drawing and calculation.

[0064] (2) Process the geological longitudinal section. Align the left and right line structural longitudinal sections with the geological longitudinal section to form the "adhesion" of the strata and the main structure, preparing for subsequent enclosure and main structure calculations and drawing.

[0065] (3) Draw the main cross-section. Specify the applicable range of the cross-section, which can be specified in any one of (the top slab, middle slab, bottom slab plan and longitudinal section), and then automatically generate cross-section numbers at the start and end positions of each range and generate the corresponding cross-sections. The rest of the drawings achieve section number linkage, and automatically draw the borehole information at the section position, the structural cross-section drawings and include the corresponding information (frame, components, elevation information). At the same time, the geometric and stratum information of all sections is stored in the database to prepare for subsequent calculations;

[0066] (4) Draw the longitudinal section. Draw the section position (which may be a broken line) in any one of (the top slab, middle slab, bottom slab plan), and the rest of the drawings achieve section number linkage, and automatically draw the structural longitudinal section drawings and include the corresponding information (frame, component beam, elevation information). At the same time, the geometric and stratum information of all sections is stored in the database to prepare for subsequent calculations;

[0067] (6) Draw the enclosure structure components. Specify some cross-sections of the main structure, use the main structure cross-section as the base drawing for the enclosure structure cross-section, arrange the enclosure components, and form the enclosure structure cross-section. Complete all the enclosure structure cross-section drawings within the entire station range in this way, and at the same time, store the geometric and stratum information of all sections in the database to prepare for subsequent calculations;

[0068] (5) Calculation section export. Designers export the data files of the enclosure structure cross section, main structure cross section, main structure longitudinal section and related stratum information in the drawing module to prepare for the next calculation work.

[0069] (6) Through the above processing of the building base map and the formation of structural components, the software can automatically convert the two-dimensional graphics into a three-dimensional Revit model based on the above information.

[0070] For the open-cut interval frame structure, the software can automatically fit the plan and longitudinal section drawings based on the input from the line, limit and track professionals, and can form the cross-section that needs to be calculated based on this.

[0071] For underground long channel structures, the designer determines the channel centerline direction and section position in the building base map, and the software combines the channel longitudinal section to form the cross section that needs to be calculated.

[0072] Step 2 involves calculating the enclosure structure and anti-floating properties. The vast majority of structural calculations are based on specifications and have a solid foundation, such as calculation conditions and load combinations, calculation models and methods, and economic reinforcement ratios. This software integrates these calculations into the system, enabling automated batch calculations and providing reinforcement solutions, achieving both automation and intelligence. The software includes the following steps:

[0073] (1) Import the enclosure structure calculation software. Convert the exported enclosure structure cross-section information data file into the input format of the Lizheng Deep Foundation Pit software and import it into the Lizheng software for batch enclosure structure cross-section calculation. The cross-section layout of the enclosure components is stabilized through the Lizheng Deep Foundation Pit calculation, and the Lizheng calculation results are returned to the drawing end to adjust the enclosure cross-section. From then on, the component layout and selection of each enclosure cross-section have been preliminarily determined.

[0074] (2) Anti-floating calculation. Import the enclosure cross section calculated in the previous step into the web page and enter the anti-floating module to perform anti-floating calculation. Complete the layout of anti-floating components through interaction. Then click the "Enclosure Structure Calculation" button to automatically jump to the next step.

[0075] In this step, the enclosure cross section calculated in the previous step is imported into the web page and entered into the anti-floating module for anti-floating calculation. The arrangement of anti-floating components is completed through interaction, including:

[0076] By reading the soil covering thickness and unit weight, self-weight of retaining piles (walls), skin friction of retaining piles (walls) (stratum information, length above the foundation pit, length below the foundation pit), self-weight of column piles (diameter, longitudinal spacing, transverse spacing, length, unit weight), skin friction of column piles (stratum information) in the retaining structure module completed in the above verification, and reading the dimensions and layout of main structure components and main anti-floating measures (anti-floating toes, etc.) preliminarily determined in the preliminary design stage, etc., the anti-floating verification is carried out. First, the anti-floating verification of soil covering + self-weight of main structure components is carried out; if not satisfied, additional retaining piles and column piles are added to serve as anti-floating measures, considering the self-weight and skin friction of retaining piles and column piles to assist in anti-floating; if not satisfied, additional tension piles are added until the anti-floating requirements are met. During this process, the information of retaining structure components read can be adjusted, such as lengthening the retaining piles, adding capping beams to the retaining piles, etc. This part of the adjustment will be fed back to the retaining structure calculation module in the above text to re-check the modified retaining structure to achieve the coupling of anti-floating calculation and retaining structure calculation data. At the same time, in the anti-floating module, it is allowed to adjust the dimensions of main structure components, such as the thickness of each floor slab, wall thickness, and the length of anti-floating toes, etc. This part of the adjustment and whether the retaining piles and column piles are arranged to serve as anti-floating and the layout of additional tension piles will directly act on the main structure calculation module to achieve the coupling of anti-floating calculation and main structure data. At the same time, the adjustments in the retaining structure and main structure calculation modules will also be imported into the anti-floating calculation in real time to re-check the anti-floating to achieve two-way data connection.

[0077] The above anti-floating calculation method has the following innovative breakthroughs: (a) Innovative calculation framework: The anti-floating calculation is upgraded from a traditional accessory verification item to a pre-module processing unit, establishing a two-way data coupling mechanism with the main structure and retaining structure to achieve dynamic iterative update of design parameters; (b) Full-section analysis technology: The discretization modeling method is used to divide the underground structure, and independent anti-floating verification is carried out for each structural section to ensure the topological integrity of anti-floating analysis and eliminate the verification blind spots in traditional methods; (c) Collaborative calculation mechanism: Innovatively, the anti-floating measure parameters are fed back to the main structure finite element model and the retaining structure load system in real time, and the calculation authenticity of the overall mechanical model is guaranteed through dynamic load reconstruction technology. This technical solution realizes three major technical effects by establishing a dynamic iterative mechanism of anti-floating calculation → structural verification → measure feedback: (a) The anti-floating verification coverage rate is increased to 100%; (b) The accuracy of structural calculation is effectively improved through additional anti-floating measures; (c) The economy of anti-floating measures is optimized. It is particularly suitable for large-span underground space structure projects such as subway stations, effectively solving the key technical problems such as omission of anti-floating measures, distortion of structural calculation, and insufficient project economy in traditional design, and significantly improving the safety and economic rationality of underground engineering structures.

[0078] More specifically, in this embodiment, an anti-floating calculation method integrated with an intelligent optimization algorithm and dynamically linked to the construction process can obtain construction process data such as construction progress and groundwater level changes in real time. By combining engineering information such as the underground structure and the retaining structure, and using intelligent optimization algorithms (such as genetic algorithms, particle swarm algorithms, etc.), it dynamically optimizes and adjusts anti-floating measure parameters such as the length of the retaining pile and the size of the anti-floating components. This enables the anti-floating design to achieve the best balance between economy and feasibility while meeting safety requirements. At the same time, it updates the calculation model in real time according to the actual changes during the construction process to ensure the effectiveness of the anti-floating measures throughout the construction process.

[0079] The specific calculation method includes: By connecting to monitoring devices at the construction site (such as water level sensors, construction progress management software, etc.), it obtains data such as the real-time groundwater level height (H_realtime), the self-weight of the underground structure of the constructed part (G_struc_realtime), and the construction progress (such as the percentage of the retaining structure construction completion, the main structure construction stage, etc.) in real time, and inputs them into the anti-floating calculation model to replace the previous predicted data or initial assumed calculation parameters, and updates the model in real time. Taking the safety factor (F_s) as the objective function, and using the length of the retaining pile (L_pile) and the size of the anti-floating components (such as the thickness of the anti-floating slab (t_plate), the length of the anti-floating toe (l_toe), etc.) as design variables, while considering the self-weight of the underground structure (G_struc), the water level height (H), and soil layer parameters (such as the soil resistance coefficient (k_soil), etc.) as constraints, it uses an intelligent optimization algorithm to find the optimal combination of anti-floating measure parameters under the premise of meeting the anti-floating safety requirements, making the anti-floating design both safe and economical. An anti-floating calculation model considering the dynamic changes during the construction process and intelligent optimization is established, and its basic structure is as follows:

[0080] Input layer: It includes engineering design parameters of the underground structure, retaining structure, etc. (such as structural dimensions, material properties, etc.), real-time construction process data (such as groundwater level, construction progress, etc.), and control parameters of the intelligent optimization algorithm (such as population size, number of iterations, etc.).

[0081] Processing layer: It consists of an anti-floating calculation sub-module and an intelligent optimization algorithm sub-module. The anti-floating calculation sub-module performs anti-floating stability checks according to the input engineering parameters and real-time construction data according to the anti-floating calculation principle; the intelligent optimization algorithm sub-module optimizes and adjusts the design variables according to the anti-floating calculation results and the set objective function and constraints, and feeds the optimized parameters back to the anti-floating calculation sub-module for recalculation, forming a dynamically iterative closed-loop system.

[0082] Output layer: Output the anti - floating calculation results (such as safety factor, ratio of anti - floating force to buoyancy force, etc.), optimized anti - floating measure parameters (length of retaining piles, size of anti - floating components, etc.) and relevant construction suggestions (such as whether to adjust the construction sequence, add temporary anti - floating measures, etc.).

[0083] Build a calculation model for the anti - floating safety factor:

[0084] F_s=(G_struc+G_pile+G_toe+R_f) / (γ_w*A_submerged)

[0085] Where, F_s is the anti - floating safety factor; G_struc is the self - weight of the underground structure; G_pile is the self - weight of the retaining pile; G_toe is the self - weight of the anti - floating toe; R_f is the anti - floating force provided by the frictional resistance of the retaining pile and the column pile; γ_w is the unit weight of water; A_submerged is the area of the submerged part of the underground structure.

[0086] Build a calculation model for the anti - floating force provided by the frictional resistance of the retaining pile:

[0087] R_pile=n_pile*(R_side+R_tip)

[0088] Where, n_pile is the number of retaining piles; R_side is the anti - floating force provided by the side frictional resistance of a single retaining pile, R_side=k_side*u_pile*L_pile_side*σ_side, k_side is the side frictional resistance coefficient of the soil around the pile, u_pile is the perimeter of the pile, L_pile_side is the effective calculation length of the side frictional resistance of the pile, σ_side is the effective stress of the soil around the pile; R_tip is the anti - floating force provided by the end frictional resistance of a single retaining pile, R_tip=k_tip*A_pile_tip*σ_tip, k_tip is the end frictional resistance coefficient of the soil at the pile tip, A_pile_tip is the area of the pile tip, σ_tip is the effective stress of the soil at the pile tip.

[0089] Build the objective function and constraint conditions of the intelligent optimization algorithm:

[0090] In this embodiment, based on the random forest regression calculation model, build the objective function of multi - objective optimization:

[0091]

[0092] Among them, C_total is the total cost of anti-floating measures; C_pile is the cost of retaining piles, C_pile = n_pile * (c_pile_unit * L_pile + c_pile_cap * A_pile_cap), where c_pile_unit is the cost per unit length of the retaining pile, c_pile_cap is the cost per unit area of the pile cap, and A_pile_cap is the area of the pile cap; C_plate is the cost of the anti-floating slab, C_plate = c_plate_unit * A_plate * t_plate, where c_plate_unit is the cost of the anti-floating slab material per unit volume; C_toe is the cost of the anti-floating toe, C_toe = c_toe_unit * V_toe, where c_toe_unit is the cost of the anti-floating toe material per unit volume, and V_toe is the volume of the anti-floating toe; C_other is other related costs (such as construction measures costs, etc.).

[0093] Construct constraint conditions:

[0094] Anti-floating safety factor constraint: F_s ≥ F_s_min (F_s_min is the minimum anti-floating safety factor required by the code)

[0095] Underground structure self-weight constraint: G_struc ≥ G_struc_min (G_struc_min is the minimum self-weight to meet the structural service function)

[0096] Component size constraints: L_pile ≥ L_pile_min, t_plate ≥ t_plate_min, l_toe ≥ l_toe_min (L_pile_min, t_plate_min, l_toe_min are the minimum dimensions specified by the design code for the minimum length of the retaining pile, the minimum thickness of the anti-floating slab, the minimum length of the anti-floating toe, etc.)

[0097] Construction progress constraint: According to the construction progress requirements, the implementation of anti-floating measures in each stage cannot affect the normal progress of subsequent construction processes. For example, the construction progress of the retaining piles should meet the time arrangement of the main structure construction, etc.

[0098] Among them, in the construction process parameters, the construction progress: the completion status of each construction stage is expressed as a percentage. For example, the construction of the retaining structure is 30% completed, and the main structure is constructed to the second basement floor, etc. The self-weight of the underground structure (G_struc_realtime) of the constructed part: calculated according to the construction progress and the actually constructed structural part, with the unit of kilonewton (kN). This method realizes the integration of "intelligent optimization algorithm integration" and "dynamic linkage with the construction process", and can optimize the anti-floating measures in real time and dynamically during the construction process, improving the scientificity, economy and reliability of the anti-floating design.

[0099] (3) Calculation of enclosure components. Classified by component type into concrete components and steel components, and checked respectively according to type and section. Concrete components include 8 categories: retaining wall, capping beam, coping beam, concrete support, concrete collar beam, column pile, retaining pile reinforcement, and glass fiber reinforced pile. The internal forces of components are automatically calculated according to the calculation rules set in the system and the reinforcement is completed. Steel components include 4 categories: steel support, steel collar beam, steel connecting beam, and lattice column. The internal forces of components are automatically calculated according to the calculation rules set in the system and the checking and selection are completed. Since then, the component layout and reinforcement selection of each cross-section of the enclosure have been determined.

[0100] (4) Export of calculation results. After the above anti-floating and enclosure component calculations are completed, the calculation results can be exported to form a calculation book, and at the same time, it can be imported into the CAD terminal for automatic update of the cross-sectional drawing of the enclosure structure and automatic drawing of the component detail drawing.

[0101] Step three is the calculation of the main structure, which is completed in the calculation terminal and calculation software, and specifically includes the following steps:

[0102] (1) Import the cross-section of the main structure. In the import module of the calculation terminal, read the data files of the cross-section, longitudinal section of the main structure and the associated formation borehole information exported in step one. The designer manually corresponds the main cross-section with the enclosure structure cross-section, and at the same time, relevant enclosure information can be manually supplemented for the main cross-sections without corresponding relationships.

[0103] (2) Input the individual information of the cross-section. The designer supplements and inputs the individual information of a single cross-section, including whether the enclosure participates in bearing the lateral water and soil loads, the enclosure reduction parameter, whether the general load of the cross-section adopts the public area load or the equipment area load, and the special load of the cross-section. Since then, the calculation information of the main structure cross-section has been complete.

[0104] (3) Calculation of the internal forces of the main structure cross-section. Export the data files of all cross-section calculations, and use SAP2000 to batch calculate the internal forces of multiple working conditions of the main structure cross-section. The internal force results are imported into the calculation web terminal.

[0105] (4) Calculation of the reinforcement of the main structure cross-section. The calculation web terminal automatically completes the drawing of the internal force diagram, and automatically checks each component of each cross-section according to the preset reinforcement. For the calculation cross-sections that do not meet the requirements, the software can incrementally check each reinforcement model one by one and give the recommended reinforcement results. The designer can interactively modify the component dimensions and reinforcement.

[0106] (5) Calculation of the internal forces of the longitudinal section. Automatically supplement and fill in the longitudinal section information according to the cross-section, longitudinal section of the main structure and the associated formation borehole information exported in step one, and read the associated cross-section loads to form the data files of all longitudinal section calculations. Use SAP2000 to batch calculate the internal forces of multiple working conditions, and the internal force results are imported into the calculation web terminal.

[0107] (6) Longitudinal section reinforcement calculation. The software automatically completes the drawing of the internal force diagram on the web page and automatically checks each component of each section according to the preset reinforcement. For the calculation sections that do not meet the requirements, the software can incrementally check each reinforcement model one by one and give the recommended reinforcement results. The designer can interactively modify the component dimensions and reinforcement.

[0108] (7) Generate the main structure calculation book. After completing the calculations of the main longitudinal section and cross section, export the main structure calculation book. And return the calculation results to the CAD side for automatic drawing.

[0109] Step 4 is automatic drawing, which is completed on the CAD side and specifically includes the following steps:

[0110] (1) Adjustment of the retaining section drawing. By importing the results of Lizheng deep foundation pit calculation software and the web page calculation software, the software automatically adjusts the initially proposed retaining section to form a retaining section consistent with the calculation results.

[0111] (2) Drawing of the large-scale drawings of the retaining components. According to the results of the web page calculation software, the designer manually supplements some non-calculation control parameters, and the software automatically draws the large-scale drawings of concrete components; similarly, according to the results, the software automatically selects the corresponding large-scale drawings from the steel structure component library and inserts them into the drawings to complete the drawing of the large-scale drawings.

[0112] (3) Drawing of the cross-section reinforcement of the main structure. According to the calculation results of the main structure, the software combines with the cross-section base drawing in CAD to automatically complete the drawing of the cross-section reinforcement drawing.

[0113] The above embodiments realize the three-dimensionalization of components on the traditional CAD two-dimensional platform. Currently, the design of rail transit structures generally uses CAD two-dimensional drawing. The drawings in CAD are composed of two-dimensional graphics elements such as lines and arcs, and do not have the parameters of structural components. At the same time, in order to facilitate the use of designers and not change the basic habits of designers, this system implants component recognition and establishment plug-ins in CAD software, combines the plane and longitudinal section of architectural drawings, and uses beam modeling tools to endow individual graphics elements with component attributes and combine individual graphics elements to form solid components. In this way, the software can automatically cut through the cross-section and longitudinal section according to the attributes and layout of each graphics element, and at the same time, according to the above information, automatically convert the two-dimensional graphics into a three-dimensional Revit model. Thus, it realizes auxiliary drawing, automatically exports the calculation model, and automatically forms the Revit model.

[0114] Based on any of the above embodiments or a combination of multiple embodiments, in this embodiment, based on the reinforcement envelope principle, a multi-objective optimization of the reinforcement scheme is carried out using an intelligent algorithm to generate an optimal reinforcement design scheme. Select the combination with the largest reinforcement among all combinations as the control condition, and at the same time, conduct a structural check according to the specifications to back-calculate the rationality of the reinforcement.

[0115] By comparing the calculated reinforcement with the actual value input by the user, if the calculated required value > the actual input value, it is marked in red and does not meet the requirements; if the calculated required value < 0.85 * the actual input value, it is marked in green, and in other cases it is black. The construction module determines the actual value input by the user according to the relevant requirements of the specification for construction. If the requirements are not met, it is marked in red; if the requirements are met, it remains black. In this way, the economy of the reinforcement is verified.

[0116] In this step, based on the three goals of minimizing the reinforcement area, minimizing the material consumption, and maximizing the structural safety, further consider the goals of maximizing the construction convenience and maximizing the durability, etc., to construct a more comprehensive multi-objective optimization model to comprehensively consider more actual engineering factors and make the optimization results more in line with the actual needs. Specifically, construct a multi-objective optimization model for the optimal reinforcement of "minimizing the reinforcement area, minimizing the material consumption, maximizing the structural safety, maximizing the construction convenience, maximizing the durability":

[0117]

[0118] In the formula, is the weight coefficient of the reinforcement area. x i is the reinforcement area variable. is the weight coefficient of the material consumption. g i is the material consumption variable. is the weight coefficient of the structural safety. y i is the variable related to the structural safety (such as crack width, deflection, etc.). is the additional weight coefficient of the material consumption. is the additional variable of the material consumption. c j is the weight coefficient of the connection cost. r j is the connection variable. is the loss function related to the uncertainty. is the uncertainty parameter, I c is the construction convenience index, is the weight coefficient of the construction convenience index.

[0119] In the above solution, the definition of the construction convenience index can be considered from the following aspects:

[0120] Convenience of the steel bar connection method: Define the convenience index of the connection method I c，con , and conduct a quantitative score according to the convenience degree of the steel bar connection method (such as welding, mechanical connection, binding, etc.). The value range is [0, 1], where 0 means very inconvenient and 1 means very convenient.

[0121] Complexity of the steel bar arrangement: Define the complexity index of the arrangement I c，con, the construction convenience is measured by analyzing the complexity of the steel bar layout pattern. The steel bar layout pattern can be divided into three levels: complex, moderately complex, and simple, corresponding to scores of 0.2, 0.5, and 0.8 respectively.

[0122] Construction operation space: Define the construction operation space index I c，spa , to measure whether the operation space for construction workers during steel bar construction is sufficient. The adequacy of the operation space can be evaluated by comparing the actual measured spatial dimensions of the construction area with the requirements of ergonomics and construction equipment operation. The value range is also [0, 1]. 0 indicates that the operation space is extremely narrow and construction is almost impossible; 1 indicates that the operation space fully meets the construction requirements and construction workers can operate freely.

[0123] Uniformity of steel bar size: Define the size uniformity index I c，uni , considering the number of steel bar specifications. If the steel bar specifications and dimensions are relatively unified, material management and construction operations during construction are relatively simple and the convenience is high; on the contrary, if the specifications are complex, the construction process needs to be frequently changed and adjusted, and the convenience is low.

[0124] Improvement of construction efficiency: Define the construction efficiency improvement index I c，eff , which is measured by the ratio of the actual construction time to the standard construction time. The standard construction time can refer to the industry average level or historical data of similar projects. If the actual construction time is lower than the standard time, it means that the reinforcement scheme helps to improve efficiency in terms of construction convenience. The index value is taken as the reciprocal of the ratio of the actual time to the standard time, and the result is normalized to the [0, 1] interval; if the actual construction time exceeds the standard time, the index value is less than 1.

[0125] Taking into account the above aspects comprehensively, a comprehensive construction convenience index I can be constructed c，tot , and the sum is calculated using the weighted ratio method. The weighted values of each item are determined according to actual engineering experience and importance.

[0126] Introduce the economic benefit index E b It is used to measure the economic cost of the reinforcement scheme during the whole life cycle, including material cost, construction cost, maintenance cost, etc. Its calculation formula is:

[0127]

[0128] Among them, c m，i is the unit cost of materials, c l，i is the unit cost of construction labor, c c，jj is the connection construction cost, c mt，t is the maintenance cost coefficient, T is the set of maintenance time points, is the maintenance loss function at time point t.

[0129] Based on the above scheme, it is also necessary to determine the optimized constraint conditions, which include reinforcement area constraint, material consumption constraint, structural safety constraint, construction convenience constraint, and Wasserstein uncertainty set constraint. According to the above multi-objective constraint function and constraint conditions, the Wasserstein uncertainty set is processed to construct the worst-case risk:

[0130]

[0131] According to the above worst-case risk, the particle swarm optimization algorithm is used to calculate the objective function value, and the velocity and position of the particles are updated according to the fitness and constraint conditions. This process continues until the maximum number of iterations is reached or the convergence condition is satisfied. From the optimization results, the reinforcement scheme that meets all constraint conditions and has the optimal objective function value is selected as the candidate scheme.

[0132] In the above scheme, the Wasserstein distance provides an effective tool for measuring the difference between the actual probability distribution and the nominal distribution. In reinforcement optimization, it can quantify the fluctuation range and influence degree of uncertainty factors such as material properties, loads, and geometric parameters into specific numerical ranges, enabling the optimization model to clearly recognize the risks and challenges that these uncertainty factors may bring. In addition, by constructing the Wasserstein uncertainty set, the uncertainty factors are incorporated into the constraint conditions of the optimization model. This makes the optimization process no longer solely based on deterministic parameter assumptions, but takes into account the possible fluctuations of the parameters, thereby constructing an optimization model with strong robustness to uncertainty, ensuring that the reinforcement scheme can still meet the design requirements and safety standards in the face of uncertainty in actual engineering. Furthermore, based on the Wasserstein uncertainty set, the worst-case risk under the influence of uncertainty factors can be found. Through the analysis and evaluation of the worst case, a more conservative and safe decision-making basis can be provided for the design of the reinforcement scheme, avoiding the situation where the structural performance seriously deteriorates or even fails due to uncertainty factors.

[0133] Based on the above scheme, the present invention adopts an improved Particle Swarm Optimization (PSO) algorithm, and utilizes its global search ability and relatively fast convergence speed to find the optimal solution of the multi-objective optimization problem. Initialize the algorithm parameters, determine the particle swarm size N (generally selected according to the complexity of the problem, such as between 30 and 100), and the maximum number of iterations Tmax. Initialize the particle positions and velocities: the particle positions correspond to a set of reinforcement design scheme variables (such as steel bar areas, material usage amounts, etc.), and the velocities represent the change amounts of the variables. Randomly initialize the particle positions and velocities according to the value ranges of the design variables. Randomly generate initial reinforcement schemes, and according to the design specifications and actual engineering situations, randomly generate a certain number (such as the same as the particle swarm size) of initial reinforcement schemes, and each scheme corresponds to a set of design variable values (such as the steel bar areas and material usage amounts of different components). Check the constraint conditions, check the constraint conditions for each initial reinforcement scheme, and remove the schemes that do not meet the constraint conditions, such as the reinforcement ratio exceeding the allowable range of the specification, the material usage amount exceeding the budget, etc. If the number of schemes that do not meet the constraint conditions is too large, the randomly generated range can be appropriately adjusted or regenerated.

[0134] The specific optimization process is as follows:

[0135] 1. Calculate the objective function values. For each particle (reinforcement scheme), calculate its corresponding objective function values, including the reinforcement area value, material usage amount value, structural safety index value, and construction convenience index value, and calculate according to the above objective function formulas.

[0136] 2. Update the individual extreme value and the global extreme value. Compare the current objective function value of each particle with its own historical optimal value (individual extreme value), and update the individual extreme value if it is better. At the same time, find the optimal value among the individual extreme values of all particles as the global extreme value to guide the group search direction.

[0137] 3. Update the particle velocities and positions. According to the velocity and position update formulas of the particle swarm optimization algorithm, update the velocities and positions of each particle. The velocity update formula is: The position update formula is: Among them, is the velocity of the i-th particle at the t-th moment in the d-th dimension, is the position of the i-th particle at the t-th moment in the d-th dimension, is the individual extreme value position of the i-th particle at the t-th moment in the d-th dimension, is the global extreme value position in the d-th dimension at the t-th moment, ω is the inertia weight, c1 and c2 are learning factors, and r1 and r2 are random numbers.

[0138] 4. Judge the convergence condition. If the maximum number of iterations T maxIf the change in the objective function value is less than the set convergence accuracy (e.g., the change in the objective function value is less than a certain threshold for several consecutive iterations), stop the iteration and output the reinforcement configuration corresponding to the current global extreme value as the candidate optimal solution; otherwise, return to the step of "calculating the objective function value" and continue the iteration.

[0139] Determine the control working condition and construction verification: (1) Select the combination with the largest reinforcement for multiple candidate reinforcement configurations obtained by optimization. Calculate the reinforcement areas of each component in each configuration, and find the combination with the largest required reinforcement area among all configurations as the control working condition. For example, among multiple configurations, compare the bottom reinforcement areas of flexural members, the reinforcement areas of middle columns under bi-directional eccentric compression, etc. in each configuration, and take the configuration where the maximum value is located as the control working condition. (2) Construction verification. According to national or industry structural design codes, conduct construction verification on the reinforcement configuration under the control working condition. It includes but is not limited to the following contents: Longitudinal reinforcement verification: Check whether the diameter, spacing, number of longitudinal stressed reinforcement, etc. meet the construction requirements of the code, such as the minimum diameter shall not be less than 12mm, and the spacing shall not be greater than 300mm, etc. Stirrup verification: Verify whether the number of limbs, diameter, and spacing of stirrups comply with the code regulations, such as the stirrup spacing in the tied skeleton shall not be greater than 15d (d is the minimum diameter of longitudinal compression reinforcement), and shall not be greater than 400mm. Anchorage length verification: Ensure that the anchorage length of the reinforcement is not less than the minimum anchorage length l a , such as the anchorage length l a ≥α·l a，min (α is the anchorage length correction factor, l a，min is the basic anchorage length). Concrete cover thickness verification: Check whether the concrete cover thickness of the reinforcement meets the requirements of durability and fire protection, etc. For example, for structural components in environmental category I, the cover thickness of the slab shall not be less than 15mm. (3) Back-calculate the rationality of the reinforcement. If problems are found in the construction verification (such as not meeting the construction requirements), adjust the reinforcement configuration according to the code requirements, and substitute it back into the multi-objective optimization model for back-calculation until a reinforcement design solution that not only meets the construction requirements but is also relatively optimal in the sense of multi-objective optimization is found.

[0140] Provide two reinforcement methods, namely through-penetrating reinforcement and non-through-penetrating reinforcement, for all slab-wall nodes in the frame structure at the reinforcement interface.

[0141] Finally, you can select to export the desired cross-section and longitudinal section, and automatically generate a calculation book with one key.

[0142] In an embodiment of the present invention, the through-penetrating reinforcement includes at least: the top and bottom longitudinal bars of the slab, additional bars at the slab-column joint, and additional bars at the wall-slab joint. There are 3 types of input values related to the reinforcement, and there are constraint conditions. Changing one value will synchronously modify the related positions.

[0143] In one embodiment of the present invention, the calculation sheet at least includes: load calculation process (with formulas and parameters), finite element model screenshots and internal force cloud diagrams, reinforcement details and verification results.

[0144] In addition, this method realizes seamless intercommunication between CAD, deep foundation pit software and web computing terminal. Designers arrange and select retaining structure components through plug-ins implanted in CAD to form single or multiple retaining structure sections; export the sections in batches to form multiple correction input files, and import the correction input files formed above into the correction calculation software in batches through desktop plug-ins, and perform calculation and adjustment one by one to form multiple result files. Such result files are read into CAD, and the retaining sections are automatically adjusted in batches to form a stably arranged retaining section. At the same time, the correction result files and sections are packaged and imported into the web computing terminal in batches, and the retaining components in the section are systematically calculated in batches. In this way, the interconnection and intercommunication among the three are realized.

[0145] Furthermore, this method enables automated modeling from CAD sections to SAP2000 finite element calculation software. The automatically cut CAD sections are imported into a web computing client, which parses them into a data sequence. This data sequence is then converted into SAP2000 model data, ultimately achieving batch automated modeling from CAD to SAP2000.

[0146] Finally, this method achieves automatic reinforcement based on SAP2000 internal force calculation results. SAP2000 batch calculations yield internal force results for multiple sections and multiple working conditions. These results are then imported into the web-based calculation terminal, which verifies the internal force results according to pre-set reinforcement principles. Designers can also make local adjustments based on the internal force calculation results and design experience.

[0147] Based on any of the above embodiments or a combination of multiple embodiments, this embodiment provides an intelligent design system for box-type frame structures of rail transit, which constructs a three-dimensional BIM model based on CAD building base map and stratum information, and realizes the automated design and optimization of the enclosure structure and the main structure by integrating computing software such as Lizheng Deep Foundation Pit and SAP2000. Specifically including: 1) constructing a virtual three-dimensional model of the main structure transverse and longitudinal sections and enclosure structure sections containing the preliminary design through layer recognition, and realizing dynamic binding of structure and stratum information; 2) using intelligent algorithms to complete the overall calculation of the enclosure structure section, anti-floating verification and component reinforcement optimization; 3) realizing the automated recommendation of the main structure section reinforcement based on multi-working condition internal force analysis; 4) opening up the data flow between the CAD drawing platform and the computing software to automatically generate calculation books, drawings and three-dimensional BIM models. Including:

[0148] The first main control module is used to construct a virtual three-dimensional model containing the transverse and longitudinal sections of the main structure and the cross-section of the enclosure structure with preliminary design based on the CAD building base map and the stratum information;

[0149] The second main control module is used to calculate and pre-design the reinforcement of the cross-section of the maintenance structure to obtain a stable cross-section of the maintenance structure, perform anti-floating and maintenance member checks on the stable cross-section of the maintenance structure, update the cross-section information of the maintenance structure and generate a calculation book;

[0150] The third main control module is used to perform multi-condition internal force calculations on the transverse and longitudinal sections based on the updated cross-section of the maintenance structure, automatically optimize the reinforcement plan in combination with the preset reinforcement rules, and automatically generate a calculation book for the main structure;

[0151] The fourth main control module is used to generate the cross-section diagram of the enclosure structure, the template diagram and the reinforcement diagram of the main structure, and the three-dimensional BIM model.

[0152] Those skilled in the art can easily understand that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent design method for a box-shaped frame structure of rail transit, characterized in that, The following steps are involved: Step 1: Based on the CAD building base map and stratum information, a virtual 3D model including the preliminary designed main structure horizontal and vertical sections and enclosure structure sections is constructed; Step 2: Calculate and pre-design the reinforcement of the maintenance structure section to obtain a stable maintenance structure section, perform anti-floating and maintenance component verification for the stable maintenance structure section, update the maintenance structure section information and generate a calculation sheet; Step 3: Based on the updated maintenance structure section, perform multi-condition internal force calculations on the horizontal and vertical sections, automatically optimize the reinforcement scheme based on the preset reinforcement rules, and automatically generate the main structure calculation report; Step 4: Generate the enclosure structure cross-section drawing, main structure template drawing, reinforcement drawing, and three-dimensional BIM model.

2. The intelligent design method of a rail transit box-type frame structure according to claim 1, wherein Step 1 includes the following steps: (11) Using layer and graphic recognition methods, the main structural information and geometric information of the CAD building base map are stored in the database; (12) Matching the longitudinal section of the main structure with the geological longitudinal section to adhere the stratum to the main structure; (13) Draw the horizontal and vertical sections of the main structure and automatically generate numbers and drawings, and update the corresponding drilling information and stratigraphic data; (14) Arrange enclosure components based on the cross section of the main structure, generate the cross section of the enclosure structure and store it in the database; (15) Export the data files of the enclosure structure cross section, main structure cross section, main structure longitudinal section and associated stratigraphic information in the drawing module; (16) Export standardized data files of horizontal and vertical sections and stratigraphic information to construct a virtual three-dimensional data model.

3. The intelligent design method of a rail transit box frame structure according to claim 2, characterized in that In step (12), based on any matching reference point, the longitudinal section of the main structure and the geological longitudinal section are aligned in the same ratio to adhere the stratum to the main structure.

4. The intelligent design method of a rail transit box-type frame structure according to claim 2, characterized in that, Step (13) comprises the following steps: (131) Main cross-section drawing: specify the applicable range of the cross-section, then automatically generate cross-section numbers at the start and end positions of each range and generate cross-sections at the corresponding positions. The remaining drawings realize the linkage of section numbers and synchronize the updates based on the corresponding positions of the axis network. The drilling information and structural cross-section of the section position are automatically drawn. At the same time, the geometric and stratigraphic information of all sections are stored in the database to prepare for subsequent calculations. (132) Longitudinal section drawing: Draw the section position in any drawing, and link the section numbers in the other drawings to automatically draw the structural longitudinal section. At the same time, the geometric and stratigraphic information of all sections will be stored in the database to prepare for subsequent calculations.

5. The intelligent design method of a rail transit box-type frame structure according to claim 1, characterized in that Step 2 includes the following steps: (21) Convert the exported retaining structure cross-section information data file into the input format of the Lizheng deep foundation pit software and import it into the Lizheng software for batch calculation of retaining structure cross-sections. Stabilize the cross-section arrangement of retaining components through the calculation of the Lizheng deep foundation pit, and return the Lizheng calculation results to the drawing end to adjust the retaining cross-sections. (22) Import the enclosure cross section calculated in the previous step into the calculation terminal and enter the anti-floating module to perform anti-floating overall calculation, and complete the arrangement of anti-floating components through interaction; (23) Calculate the internal forces of the enclosure components and complete the reinforcement design or check the selection according to the component type; (24) Import the reinforcement or selection results to the CAD side to automatically update the cross-sectional drawings of the retaining structure and automatically draw the detail drawings of components.

6. The intelligent design method of a rail transit box-type frame structure according to claim 1, characterized in that, In step (23), the component types are divided into concrete components and steel components. Among them, the concrete components include retaining walls, capping beams, coping beams, concrete supports, concrete wales, column piles, retaining piles / diaphragm walls, and glass fiber reinforced piles, and the steel components include steel supports, steel wales, steel tie beams, and lattice columns.

7. An intelligent design method for a box-shaped frame structure of rail transit according to claim 1, characterized in that, In step (23), an intelligent algorithm is used to perform multi-objective optimization on the reinforcement scheme to generate an optimal reinforcement design scheme. Select the combination with the largest reinforcement in all combinations of the optimal reinforcement design schemes as the control condition, and at the same time perform structural checking according to the specifications to back-calculate the rationality of the reinforcement.

8. The intelligent design method of a rail transit box-type frame structure according to claim 1, characterized in that, Step three includes the following steps: (31) Import the data files of the cross-section, longitudinal section of the main structure and related formation borehole information at the calculation end; (32) Input the personalized information of the cross-section of the main structure, including whether the retaining structure participates in bearing lateral water and soil loads, the reduction parameter of the retaining structure, whether the general load of the cross-section uses the public area load or the equipment area load, and the special load of the cross-section; (33) Export the data files of all cross-section calculations, use SAP2000 to batch calculate the internal forces of multiple working conditions of the main cross-section, and import the internal force results to the calculation web end; (34) Calculate the reinforcement of the main cross-section, automatically check each component of each main cross-section according to the preset reinforcement. For the main cross-sections that do not meet the requirements, incrementally check each reinforcement model one by one and give the recommended reinforcement results; (35) Calculate the internal forces of the longitudinal section. Automatically supplement and fill in the longitudinal section information according to the cross-section, longitudinal section of the main structure and related formation borehole information exported in step one, and read the associated cross-section loads to form the data files of all longitudinal section calculations. Use SAP2000 to batch calculate the internal forces of multiple working conditions; (36) Calculate the reinforcement of the longitudinal section. The calculation web end automatically completes the drawing of the internal force diagram, and automatically checks each component of each section according to the preset reinforcement. For the calculation sections that do not meet the requirements, incrementally check each reinforcement model one by one and give the recommended reinforcement results; (37) Generate the calculation book of the main structure and return the calculation results to the CAD side for automatic drawing.

9. The intelligent design method of a rail transit box-type frame structure according to claim 1, wherein Step four includes the following steps: (41) Adjust the cross-section drawings of the retaining structure. By importing the results of Lizheng deep foundation pit calculation software and the web end calculation software, the software automatically adjusts the initially proposed cross-section drawings of the retaining structure to form a cross-section of the retaining structure consistent with the calculation results; (42) Draw the detail drawings of the retaining structure components. According to the results of the web end calculation software, supplement some non-calculation control parameters and draw the detail drawings of the concrete components. Similarly, automatically select the corresponding detail drawings in the steel structure component library and insert them into the drawings to complete the drawing of the detail drawings; (43) Draw the cross-section drawings of the retaining structure, the template drawings of the main structure and the structural reinforcement drawings, and generate the 3D BIM models of the retaining structure and the main structure based on this.

10. An intelligent design system for a box-shaped frame structure of rail transit, characterized in that, Include: The first main control module is used to construct a virtual 3D model including the transverse and longitudinal sections of the main structure and the cross-section of the retaining structure with preliminary design based on the CAD building base map and formation information. The second main control module is used to calculate the cross-section of the maintenance structure and perform preliminary reinforcement design to obtain a stable cross-section of the maintenance structure, check the anti-floating and maintenance components of the stable cross-section of the maintenance structure, update the cross-section information of the maintenance structure and generate a calculation book; The third main control module is used to perform multi-condition internal force calculations on the horizontal and vertical cross-sections based on the updated cross-section of the maintenance structure, automatically optimize the reinforcement scheme in combination with the preset reinforcement rules, and automatically generate a calculation book for the main structure; The fourth main control module is used to generate the cross-section diagram of the retaining structure, the template diagram, the steel bar diagram of the main structure, and the 3D BIM model.

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