CN-121997428-A - Intelligent diversion tunnel design method based on multi-module collaborative optimization

CN121997428ACN 121997428 ACN121997428 ACN 121997428ACN-121997428-A

Abstract

The invention relates to an intelligent design method of a diversion tunnel based on multi-module collaborative optimization, which solves the problem of linear serial mode of the traditional diversion tunnel design flow, breaks through the limitation of manual experience and finds a global or approximate global structure economic optimal solution. The method comprises the steps of establishing a model, inputting engineering boundary conditions, standardizing data, an intelligent hydraulic calculation and section optimization module, performing hydraulic simulation calculation to generate a plurality of section design schemes, a support preliminary design module, a structural calculation module, a comprehensive section and preliminary support design scheme, performing mechanical safety and economical calculation checking and optimization, an economic comparison module, quantifying the economic cost of each design scheme, providing objective function values, and performing closed-loop processing on the calculation module in a mode of sequentially adopting design, checking, feedback, optimization and output results through an intelligent closed-loop mode.

Inventors

ZHANG LIPING
LUO HAIRONG
HUANG WENMIN
LIU LIJIE
YAO LIMIN
ZHANG JIN

Assignees

广东省水利电力勘测设计研究院股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (10)

1. A diversion tunnel intelligent design method based on multi-module collaborative optimization is characterized by comprising the following steps: Establishing a model basis library, including budget quota, country and industry specifications and historical engineering cases; inputting engineering boundary conditions including hydrologic conditions, geological conditions, terrains and arrangement conditions; The intelligent hydraulic calculation and section optimization module is used for generating a plurality of section design schemes based on the basis library and input engineering boundary conditions; the support preliminary design module is used for matching an initial support design scheme with known section and geological conditions according to a library; The structure calculation module synthesizes the design scheme of the section and the preliminary support and performs mechanical safety and economical efficiency check and optimization; The economic comparison module is used for quantifying the economic cost of each design scheme and providing an objective function value; And through an intelligent closed-loop mode, the intelligent hydraulic calculation and section optimization module, the support preliminary design module, the structure calculation module and the economic comparison module in the calculation module are subjected to closed-loop processing in a mode of design, verification, feedback, optimization and output of results in sequence.
2. The intelligent design method of the diversion tunnel based on multi-module collaborative optimization according to claim 1, wherein the intelligent hydraulic calculation and section optimization module comprises: s10, a parameterized section generator generates multi-type diversion tunnel sections based on the input engineering boundary design variables, boundary conditions and experience correlation models created by the historical engineering cases; S11, rapidly simulating hydraulic characteristics, and performing simulation check on the section design scheme of the diversion tunnel by calling an embedded professional hydraulic calculation model; S12, constraint inspection and screening, namely removing the infeasible diversion tunnel section according to the upper limit of the flow speed, the flow state requirement and the leakage capacity margin; S13, primarily optimizing and sequencing, namely sequencing the sections of the feasible diversion tunnels on the condition that the drainage capacity is minimum in the pre-emptying area and the head loss is minimum, and recommending 2-3 diversion tunnel section schemes to the front end; And S14, outputting geometrical parameters and drainage capacity curves of the section form of the recommended diversion tunnel, and calculating flow velocity and head loss values.
3. The intelligent design method of the diversion tunnel based on multi-module collaborative optimization according to claim 2, wherein the checking comprises: designing the overflow capacity, the flow distribution in the hole and the water surface line under the flow; along-path head loss and local head loss; inlet and outlet water flow patterns and water levels.
4. The intelligent design method of the diversion tunnel based on multi-module collaborative optimization according to claim 1, wherein the preliminary support design module comprises: S20, multisource information fusion is carried out, and geometric information of the section of the diversion tunnel and surrounding rock grading and segmenting information are received; s21, rule reasoning and parameter matching are carried out, and automatic matching is carried out by adopting a production type rule system; S22, correcting an empirical model, and finely adjusting parameters recommended by pure specifications by searching supporting cases with similar conditions; s23, outputting a result, wherein the result comprises a preliminary support parameter table of each section of the tunnel.
5. The intelligent design method of the diversion tunnel based on multi-module collaborative optimization according to claim 1, wherein the structure calculation module comprises: S30, automatically constructing a numerical model to generate a stratum model, a supporting structure model, a lining model and a load model; s31, calculating the safety coefficient of each part; S32, formulating a closed-loop feedback optimization mechanism based on a safety system, wherein the closed-loop feedback optimization mechanism comprises setting a safety coefficient standard value, reducing the lining thickness or reducing the support parameters when the safety coefficient is larger than the standard value, increasing the lining thickness or strengthening the support parameters when the safety coefficient is smaller than the standard value, and repeatedly calculating until the safety coefficient falls into the safety coefficient standard value range; s33, carrying out lining reinforcement calculation and reinforcement selection design; And S34, outputting the optimized lining final thickness and reinforcement diagram, adjusting the confirmed final support parameters and summarizing the safety coefficient under each working condition.
6. The intelligent design method of the diversion tunnel based on multi-module collaborative optimization according to claim 1, wherein the economic comparison module comprises: S40, extracting and calculating engineering quantity, including extracting and calculating excavation engineering quantity, concrete engineering quantity, supporting material engineering quantity and reinforcing steel bar engineering quantity; S41, calculating the cost in real time, and calculating the project cost, the measure project cost and the scheme total investment by adopting a set quota or comprehensive unit price method; S42, preparing cost sensitivity analysis, namely recording cost composition ratios of different design schemes; s43, outputting an engineering calculation process, and optimizing the total structure investment and the composition ratio.
7. The intelligent design method of the diversion tunnel based on multi-module collaborative optimization according to claim 1, wherein the method for establishing a model basis library comprises the following steps: s50, establishing a parameter database based on budget quota for supporting calculation of an economic comparison module, wherein the parameter database comprises a material unit price library, a mechanical table shift Fei Ku, a manual unit price library and a quota sub-order library; S51, establishing a national and industry specification-based design rule and parameter knowledge base comprising a hydraulic design rule sub-base and a structural and support design rule sub-base; the hydraulic design rule sub-library comprises: a pressured or pressureless flow criterion; Hydraulic optimal aspect ratio recommended range of different section forms; A limit value allowing a maximum or minimum flow rate; Constraint conditions for water surface engagement of the inlet and the outlet; the structure and support design rule sub-library comprises: Surrounding rock classification and corresponding physical and mechanical parameter recommendation value table; preliminary support parameter suggestion list of each level of surrounding rock; structural safety criterion rules; Load combination and term coefficient rule; S52, establishing a reference model base based on historical engineering cases, and providing initial historical experience data for designer analogy reference, wherein the reference model base comprises a typical engineering drawing base, an engineering characteristic parameter base and an experience correlation model.
8. The intelligent design method of the diversion tunnel based on the multi-module collaborative optimization according to claim 1, wherein the input engineering boundary condition is used for inputting variables and comprises the following steps of The hydrologic conditions are characterized by designing flood flow and upstream and downstream water level relations; geological conditions include surrounding rock level segmentation and length along the tunnel and groundwater activity conditions; The topography and arrangement conditions comprise tunnel inlet bottom plate elevation and outlet bottom plate elevation, the total length of tunnel axes, and the plane arrangement parameters comprise the number of turns, the turning radius of each turn and the turning angle.
9. The intelligent design method of the diversion tunnel based on the multi-module collaborative optimization according to claim 1, wherein the result is output visually to generate an intelligent parameterized drawing, comprising: the input drive realizes one-key mapping by butting with the output parameters of the computing module; The drawing types include: The floor plan comprises a tunnel axis, an inlet and outlet position, turning points, geological segments, control point coordinates and elevations; the longitudinal section diagram comprises a tunnel longitudinal gradient, a geological histogram, a support type section and a key control elevation; The cross section diagram is generated according to different surrounding rock segmentation and support designs and comprises a digging contour line, an initial support, a secondary lining contour and a thickness; Lining reinforcing bar diagram, which comprises reinforcing bar arrangement, reinforcing bar list and engineering list.
10. The intelligent design method of the diversion tunnel based on the multi-module collaborative optimization according to claim 1, further comprising the steps of generating a structured calculation book and a scheme report: Generating a standardized report by acquiring input, process data and results from a calculation module, wherein the report comprises design overview, hydraulic calculation, geological and support design, structural calculation, engineering quantity and general calculation, and main technical and economic indexes of a scheme are summarized, wherein the main technical and economic indexes of the scheme are summarized, and key indexes of a final scheme are presented in a form of one page of paper, including hole diameter, length, lining thickness, total excavation quantity, total concrete quantity and total investment; and (3) carrying out visual comparison on key indexes of each scheme, wherein the key indexes comprise total investment, safety coefficient, excavation quantity and construction period estimation.

Description

Intelligent diversion tunnel design method based on multi-module collaborative optimization Technical Field The application relates to the field of design, in particular to an intelligent design method for a diversion tunnel based on multi-module collaborative optimization. Background In the prior art, a serial design thought is mainly adopted, when the structural calculation or economic comparison result is not ideal, the hydraulic parameters are required to be manually returned and modified, the calculation is restarted, the iteration period is long, the exploration of the design space is limited, and the iteration efficiency is low. The designer often puts forward limited schemes to conduct comparison based on experience, is difficult to conduct global optimization in parameter spaces such as hydraulics, hole diameters, lining thickness, support density and the like, and is easy to sink into a local optimal solution. The support design and parameter selection are highly dependent on the experience of engineers, and the standardization and the intellectualization degree are insufficient. The four modules of hydraulics, structure, support and economy are relatively independent, and a unified optimization target is lacked to carry out automatic weighing. Disclosure of Invention The invention aims to overcome at least one defect of the prior art, provides an intelligent design method of a diversion tunnel based on multi-module collaborative optimization, and solves the problem of linear serial mode of the traditional diversion tunnel design flow. According to the intelligent design method for the diversion tunnel, which can realize automatic iteration and collaborative optimization of hydraulics, structures, supports and economic multiple modules, on the premise that all constraint conditions are met, a technical feasible and economic optimal design scheme can be found by inputting only a few necessary parameters, and automatic design is completed quickly to form a design result. Specifically provides a diversion tunnel intelligent design method based on multi-module collaborative optimization, which comprises the following steps: Establishing a model basis library, including budget quota, country and industry specifications and historical engineering cases; inputting engineering boundary conditions including hydrologic conditions, geological conditions, terrains and arrangement conditions; the intelligent hydraulic calculation and section optimization module is used for generating a plurality of section design schemes meeting specifications based on the basis library and input engineering boundary conditions; the support preliminary design module is used for matching an initial support design scheme with known section and geological conditions according to a library; The structure calculation module synthesizes the design scheme of the section and the preliminary support and performs mechanical safety and economical efficiency check and optimization; The economic comparison module is used for quantifying the economic cost of each design scheme and providing an objective function value; And through an intelligent closed-loop mode, the intelligent hydraulic calculation and section optimization module, the support preliminary design module, the structure calculation module and the economic comparison module in the calculation module are subjected to closed-loop processing in a mode of design, verification, feedback, optimization and output of results in sequence. The main advantages of the invention are as follows: and the global optimality is that searching is performed in a plurality of parameter spaces, so that the limitation of manual experience is broken, and the global or approximate global economic optimal solution is easier to find. Design efficiency is revolutionarily improved, namely, the traditional time-consuming manual iteration process is shortened to be automatically calculated in a plurality of hours or even a plurality of minutes, and design efficiency and analysis depth are greatly improved. In the true sense, the multi-specialty synergy is that the hydraulic requirements, the structural safety, the supporting measures and the engineering cost are placed under the same optimizing frame to carry out instant balance, thereby realizing the conversion from 'series design' to 'parallel optimization'. The support design is intelligent, expert experience is solidified through a rule base, so that the support design is quantitatively and intelligently matched from experience judgment, and the scientificity and consistency of the design are improved. And the decision support is enhanced, the scheme clearly shows the trade-off relation between the cost, the safety and the risk, and scientific decision is supported. Drawings FIG. 1 is a flow chart of a diversion tunnel intelligent design method based on multi-module collaborative optimization. Detailed Description The drawings are for illustrative purpo