Underground cavern rock wall beam construction quality optimization method, system, equipment and medium

Abstract

The invention relates to the technical field of underground cavern construction, in particular to an underground cavern rock wall beam construction quality optimization method, system and device and a medium, and the method comprises the steps: obtaining geological data of a target underground cavern, and preprocessing the geological data; constructing a three-dimensional model of the target underground cavern rock wall beam based on the preprocessed geological data, and extracting a comprehensive stability coefficient; obtaining concrete related data under different proportions of viscosity reduction components, wherein the concrete related data at least comprises bubble grade data and concrete viscosity data; based on concrete related data and considering the influence of viscosity reduction component cost, comprehensive evaluation indexes are extracted; and constructing a decision optimization model based on the comprehensive evaluation index and considering the influence of the comprehensive stability coefficient, and solving a decision optimization result by taking maximization of the comprehensive benefit as a target. The method aims at improving the accuracy of the underground cavern construction quality optimization decision, and ensuring that the construction quality and comprehensive benefits are optimal.

Description

Technical Field

[0001] The invention relates to the technical field of underground cave construction, and in particular to a method, system, equipment and medium for optimizing the construction quality of rock wall beams in underground caverns. Background Art

[0002] In underground cavern construction projects, rock wall beams are a special structure that anchors reinforced concrete beams to the rock wall through cement mortar anchors. Their core function is to work with the rock wall to bear external loads, thereby ensuring the overall stability and safety of the underground cavern. The construction quality of rock wall beams is directly related to the long-term stability and operational safety of underground caverns, so precise control of their construction process is essential. However, in past underground cavern construction practices, the control of rock wall beam construction quality mainly relied on traditional experience and conventional construction techniques, lacking a systematic, data-driven scientific method. With the continuous expansion of underground engineering and the increasing complexity of geological conditions, the limitations of traditional methods in construction quality control and stability assessment have gradually emerged, making it difficult to meet the high standards required for modern underground cavern construction.

[0003] At present, the existing technology usually adopts the construction quality optimization decision-making method based on a single data source, such as relying only on geological drilling data or limited geophysical detection data to evaluate the stability of rock wall beams and formulate construction plans. Take the "rock wall beam stability evaluation method based on geological drilling data" widely used in a certain underground cavern project as an example. This method obtains rock mechanical parameters through drilling, and optimizes the design and construction of rock wall beams based on these parameters. However, it is difficult for geological drilling data to fully reflect the complex geological structure and rock mechanical properties of underground caverns. In addition, the limitations of a single data source lead to insufficient data integrity and accuracy. This incomplete data directly leads to low accuracy of construction quality optimization decisions, making it difficult to effectively guide the construction of rock wall beams under complex geological conditions, thereby increasing the potential risks in the construction process of underground caverns. Summary of the invention

[0004] In order to improve the accuracy of underground cavern construction quality optimization decision-making and ensure that the construction quality and comprehensive benefits are optimized, the purpose of the present invention is to provide an underground cavern rock wall beam construction quality optimization method, system, equipment and medium. The technical scheme adopted is as follows: The technical solution of the first aspect of the present invention provides a method for optimizing the construction quality of rock wall beams in underground caverns, the method comprising: Obtaining geological data of the target underground cavern and preprocessing the geological data; Based on the preprocessed geological data, a three-dimensional model of the rock wall beam of the target underground cavern is constructed, and the comprehensive stability coefficient is extracted; Acquire concrete related data under different proportions of viscosity reducing components, the concrete related data at least including bubble grade data and concrete viscosity data; Based on concrete related data and considering the impact of viscosity reduction component cost, comprehensive evaluation indicators are extracted; A decision optimization model is constructed based on comprehensive evaluation indicators and considering the influence of comprehensive stability coefficient, and the decision optimization results are solved with the goal of maximizing comprehensive benefits.

[0005] Furthermore, the geological data of the target underground cavern is obtained and preprocessed, including: Obtain rock wall strength and crack data of the target underground cavern; Normalization preprocessing is performed on rock wall strength and crack data.

[0006] Furthermore, a three-dimensional model of the target underground cavern rock wall beam is constructed based on the preprocessed geological data, and the comprehensive stability coefficient is extracted, including: Construct a three-dimensional model based on the drawings of the rock beam wall of the target underground cavern; Import the preprocessed geological data into the three-dimensional model, and calculate the rock mass strength influencing factor and the crack influencing factor according to the rock wall strength and crack data; The comprehensive stability coefficient is calculated based on the rock strength influencing factor and the crack influencing factor.

[0007] Furthermore, the rock mass strength influencing factor and the crack influencing factor are calculated according to the rock wall strength and crack data, including: Based on the first preset correction coefficient, the rock mass strength influencing factor is calculated taking into account the volume proportion of different rock mass areas and the rock mass strength; Based on the second preset correction coefficient, the crack influence factor is calculated by taking into account the volume proportion of the affected area of ​​each crack and the crack width.

[0008] Furthermore, based on concrete related data and considering the impact of viscosity reduction component costs, comprehensive evaluation indicators are extracted, including: Calculate the air bubble grade influencing factor and the viscosity influencing factor based on the air bubble grade data and the concrete viscosity data; Based on the calculated bubble level influencing factor and viscosity influencing factor, and considering the impact of the viscosity reduction component cost, the comprehensive evaluation index is calculated. The expression of the comprehensive evaluation index is:

[0009] In the formula, represents comprehensive evaluation index; Indicates the bubble level influencing factor; represents the viscosity influencing factor; represents the normalized viscosity reduction component cost.

[0010] Furthermore, a decision optimization model is constructed based on comprehensive evaluation indicators and considering the influence of comprehensive stability coefficients, and the decision optimization results are solved with the goal of maximizing comprehensive benefits, including: The viscosity reduction component ratio is defined as a decision variable, and an objective function is constructed based on the comprehensive stability coefficient, comprehensive evaluation index, construction period and construction safety risk to maximize the comprehensive benefit. Based on the preset viscosity reducing component ratio constraints, concrete performance constraints, construction period constraints and construction safety risk constraints, an optimization algorithm is used to solve the optimal decision result.

[0011] Furthermore, the expression of the objective function is:

[0012] In the formula, represents the objective function value; represents the first weight coefficient, represents the second weight coefficient, represents the third weight coefficient; It represents the comprehensive stability coefficient related to the distribution ratio of the viscosity-reducing group, reflecting the influence of different distribution ratios of the viscosity-reducing group on the stability of the rock wall beam; It represents the comprehensive evaluation index of concrete construction performance related to the distribution ratio of viscosity reducing components, reflecting the influence of different distribution ratios of viscosity reducing components on concrete construction performance; It indicates the construction period related to the distribution ratio of the viscosity reducing group, reflecting the influence of different distribution ratios of the viscosity reducing group on the construction period; It indicates the construction safety risk related to the distribution ratio of the viscosity reducing group, and reflects the impact of different distribution ratios of the viscosity reducing group on the construction safety risk.

[0013] The technical solution of the second aspect of the present invention provides a system for optimizing the construction quality of underground cavern rock wall beams, using the method for optimizing the construction quality of underground cavern rock wall beams described in the technical solution of the first aspect of the present invention, and the system comprises: A data acquisition module configured to acquire geological data of a target underground cavern and pre-process the geological data; a three-dimensional model building module configured to build a three-dimensional model of a rock wall beam of a target underground cavern based on the preprocessed geological data and extract a comprehensive stability coefficient; An experimental simulation module is configured to obtain concrete related data under different proportions of viscosity reducing components, where the concrete related data at least includes bubble grade data and concrete viscosity data; A quantitative analysis module configured to extract comprehensive evaluation indicators based on concrete-related data and taking into account the impact of the cost of viscosity-reducing components; The decision optimization module is configured to build a decision optimization model based on comprehensive evaluation indicators and taking into account the influence of the comprehensive stability coefficient, and to solve the decision optimization results with the goal of maximizing the comprehensive benefits.

[0014] The technical solution of the third aspect of the present invention provides an electronic device, comprising: a processor and a memory communicatively connected to the processor; wherein the memory stores instructions executable by the processor, and the instructions are executed by the processor so that the processor can execute the steps of the underground cavern rock wall beam construction quality optimization method described in the technical solution of the first aspect of the present invention.

[0015] The technical solution of the fourth aspect of the present invention provides a computer-readable storage medium, on which is stored a program for implementing a method for optimizing the construction quality of underground cavern rock wall beams. The program for implementing the method for optimizing the construction quality of underground cavern rock wall beams is executed by a processor to implement the steps of the method for optimizing the construction quality of underground cavern rock wall beams described in the technical solution of the first aspect of the present invention.

[0016] The present invention has the following beneficial effects: The underground cavern rock wall beam construction quality optimization method provided by the present invention significantly improves the accuracy of construction quality optimization decisions from multiple dimensions, and effectively ensures that the construction quality and comprehensive benefits are optimized; by constructing a three-dimensional model and extracting a comprehensive stability coefficient, the influence of geological conditions on the stability of the rock wall beam can be intuitively and accurately simulated and quantified; by obtaining the bubble grade and viscosity data under different viscosity reduction component ratios, relevant influencing factors and comprehensive evaluation indicators are constructed, and an in-depth analysis of the specific influence of the viscosity reduction component ratio on the concrete performance is achieved; by constructing a decision optimization model, key factors such as the comprehensive stability coefficient and the comprehensive evaluation index are taken into consideration, and the decision optimization result is solved with the goal of maximizing the comprehensive benefit, avoiding the one-sidedness of single-factor decision-making, achieving a balance of multiple objectives and the optimal allocation of resources, greatly improving the accuracy of underground cavern construction quality optimization decisions, and ensuring that the construction quality and comprehensive benefits of the underground cavern rock wall beam are optimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A method flow chart of a method for optimizing the construction quality of underground cavern rock wall beams provided by one embodiment of the present invention; Figure 2 A schematic structural diagram of an underground cavern rock wall beam construction quality optimization system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the method, system, equipment and medium for optimizing the construction quality of underground cave rock wall beams proposed by the present invention, its specific implementation method, structure, features and effects in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0020] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0021] The following is a detailed description of a method, system, equipment and medium for optimizing the construction quality of underground cavern rock wall beams provided by the present invention in conjunction with the accompanying drawings.

[0022] See also Figure 1 , which shows a method flow chart of a method for optimizing the construction quality of underground cavern rock wall beams provided by an embodiment of the present invention, the method comprising: Step S100: obtaining geological data of a target underground cavern and preprocessing the geological data; Step S100 specifically includes: Step S110: Obtain the rock wall strength and crack distribution data of the target underground cavern; specifically, the present invention takes the construction of rock wall beams in the construction of an underground powerhouse of a hydropower station as an example, and can use geological drilling technology to drill holes at different positions and depths in the underground cavern to extract core samples. Then, the strength characteristics of the rock wall are measured by, for example, uniaxial compressive strength tests and triaxial compressive strength tests. At the same time, geophysical exploration methods such as geological radar and acoustic wave detection are used to collect crack distribution information on the rock wall of the underground cavern to determine the location, direction, width and density of the cracks. In the geological condition analysis of the underground cavern in this embodiment, the entire cavern area is divided into multiple different rock mass areas, and the rock mass characteristics of different areas may be different.

[0023] Step S120: normalize and preprocess the rock wall strength and crack data. Specifically, for the rock wall strength and crack data, this embodiment uses a linear normalization method to map them to the [0,1] interval. The normalization of the rock wall strength data can be expressed as:

[0024] In the formula, After normalization, Rock wall strength data for each rock mass area; Indicates The minimum value of rock wall strength data for each rock mass area; Indicates The maximum value of the rock wall strength data of each rock mass area; The normalized crack width data can be expressed as:

[0025] In the formula, After normalization, In the rock mass area Stripe width data; Indicates The minimum value of the fracture width data in the rock mass area; Indicates The maximum value of the fracture width data in the rock mass area; In summary, this embodiment obtains the rock wall strength and crack distribution data of the target underground cavern and performs normalization preprocessing, which provides a data basis for subsequent construction quality optimization. Normalization preprocessing eliminates the dimensional difference of the data and improves the comparability and usability of the data.

[0026] Step S200: constructing a three-dimensional model of the target underground cavern rock wall beam based on the preprocessed geological data, and extracting a comprehensive stability coefficient; Step S200 specifically includes: Step S210: construct a three-dimensional model based on the drawings of the target underground cavern rock beam wall; specifically, a three-dimensional modeling tool such as ANSYS, Midas GTS, etc. can be used to draw the geometric shapes of the cavern and rock wall beams according to the design drawings of the underground cavern rock beam wall, and determine their size, position and other parameters; ensure that the model can accurately reflect the actual underground cavern and rock wall beam conditions.

[0027] Step S220: importing the preprocessed geological data into the three-dimensional model, and calculating the rock mass strength influencing factor and the fracture influencing factor according to the rock wall strength and fracture data; Specifically, based on the first preset correction coefficient, the rock mass strength influencing factor is calculated by considering the volume proportion of different rock mass areas and the rock mass strength, and its expression is:

[0028] in, Indicates the factors affecting rock mass strength; represents the total number of rock mass areas; Indicates The volume proportion of each rock mass region in the overall model; represents the first preset correction factor, which takes into account the relationship between rock mass strength and structural stability; Based on the second preset correction coefficient, the crack influence factor is calculated by considering the volume proportion of each crack-affected area and the crack width. The expression is:

[0029] In the formula, represents the crack impact factor; represents the total number of cracks; Indicates The volume proportion of the crack-affected area in the overall model; It represents the second preset correction factor, which takes into account the influence of cracks on structural stability; It is an inverse measure of the degree of damage to the integrity of the rock mass caused by the crack, that is, the smaller the crack width, The larger the value, the smaller the impact on stability.

[0030] Step S230: Calculate the comprehensive stability coefficient according to the rock mass strength influence factor and the crack influence factor, which can be expressed as:

[0031] In the formula, represents the comprehensive stability coefficient; in this embodiment, the comprehensive stability coefficient is obtained by multiplying the rock mass strength influence factor and the crack influence factor. This is because rock mass strength and crack distribution are two important factors that are interrelated and jointly affect the stability of rock wall beams. Multiplying their influence factors can comprehensively consider the comprehensive effects of these two factors on the stability of rock wall beams.

[0032] In this embodiment, by constructing a three-dimensional model of the target underground cave rock wall beam, the actual form and spatial relationship between the cave and the rock wall beam can be presented intuitively and accurately, so that the construction personnel can fully understand the structural characteristics of the project and provide a clear visual basis for the planning and implementation of the construction plan. Secondly, the rock mass strength influencing factor and the crack influencing factor are extracted based on the pre-processed geological data, and the influence of geological conditions on the stability of the rock wall beam is quantified. This enables the construction team to identify areas where risks may exist in advance, take targeted measures such as reinforcement or adjustment of construction technology, and effectively reduce the safety hazards caused by geological problems during the construction process. Finally, the calculated comprehensive stability coefficient provides a clear quantitative indicator for the stability of the entire underground cave rock wall beam. The construction party can scientifically evaluate the feasibility of the construction plan based on this indicator, reasonably arrange the construction progress and resource allocation, and ensure the stability and reliability of the rock wall beam during construction and subsequent use, thereby greatly improving the construction quality of the underground cave rock wall beam and ensuring the long-term safety and stable operation of the project.

[0033] Step S300: Acquire concrete related data under different ratios of viscosity reducing components, the concrete related data at least including bubble grade data and concrete viscosity data; specifically, different geological conditions and stability requirements may require concrete with different properties, and the viscosity reducing component ratio will affect the concrete performance; this embodiment designs a series of different viscosity reducing component ratio schemes, and prepares multiple groups of concrete specimens according to the designed viscosity reducing component ratio schemes; this embodiment adopts image analysis technology, uses professional shooting equipment to shoot the bubble image inside the concrete, uses image processing algorithm to analyze the image, identifies the size, number and distribution of the bubbles, and then divides the bubble grade into three different levels of A, B, and C according to preset standards; this embodiment uses a rotational viscometer to measure the viscosity of the concrete, immerses the rotor of the rotational viscometer into the concrete specimen, measures according to the specified test method and parameters, and records the viscosity values ​​under different ratios.

[0034] Step S400: extracting comprehensive evaluation indicators based on concrete related data and considering the impact of viscosity reducing component costs; Step S400 specifically includes: Step S410: constructing a bubble level influencing factor and a viscosity influencing factor according to the bubble level data and the concrete viscosity data; Specifically, for the bubble grade data, the weight coefficients of the influence of different grades of bubbles (A, B, and C) on the performance of concrete are clarified. Grade A is set to 0.8, grade B is set to 0.5, and grade C is set to 0.2. The expression of the bubble grade influence factor is:

[0035] In the formula, Indicates the bubble level influencing factor; Indicates The weight of the influence of graded bubbles on concrete performance, Corresponding to the three levels of A, B and C respectively; Indicates The number of level bubbles; Indicates the total number of bubbles. In this embodiment, bubbles of different grades have different influences on the performance of concrete. This embodiment reflects this difference by assigning different weights. By counting the proportion of the number of bubbles of each grade to the total number and taking the weighted sum, the bubble grade influence factor can comprehensively reflect the influence of the bubble situation on the performance of concrete.

[0036] For concrete viscosity data, the expression of viscosity influencing factor is:

[0037] In the formula, represents the viscosity influencing factor; Indicates speed The weight of the effect of viscosity on concrete properties; Indicates speed The viscosity value of concrete; Indicates the number of rotational speeds; the viscosity of concrete varies at different rotational speeds, and has different effects on concrete performance. By assigning different weights to the viscosity at different rotational speeds, weighted summing the viscosity values ​​at each rotational speed and comparing them with the maximum viscosity value, the viscosity influence factor obtained can quantify the effect of viscosity on concrete performance; Step S420: Calculate a comprehensive evaluation index based on the calculated bubble level influencing factor and viscosity influencing factor and taking into account the impact of the viscosity reducing component cost; Specifically, the costs under different viscosity reduction component ratios are counted and the costs are normalized, which can be expressed as:

[0038] In the formula, It represents the ratio cost of viscosity reducing components; The expression of comprehensive evaluation index of concrete construction performance is:

[0039] In the formula, represents comprehensive evaluation index; Indicates the bubble level influencing factor; represents the viscosity influencing factor; represents the normalized cost of the viscosity-reducing component; this embodiment normalizes the cost of the viscosity-reducing component to eliminate the dimensional difference of the cost data under different viscosity-reducing component allocation ratios. Then, the bubble grade influence factor, the inverse of the viscosity influence factor, and the complement of the normalized cost are multiplied to obtain a comprehensive evaluation index; the influence of the bubble grade, viscosity, and cost on the concrete construction performance are comprehensively considered, which can provide a scientific basis for selecting the optimal viscosity-reducing component allocation ratio.

[0040] In summary, this embodiment constructs the bubble grade influencing factor, the viscosity influencing factor and performs cost normalization processing, and finally extracts the comprehensive evaluation index of the concrete construction performance. This comprehensive evaluation index provides a scientific and comprehensive basis for selecting the optimal viscosity reduction component ratio. In the construction of underground cavern rock wall beams, it can help the construction team to effectively control costs and improve construction efficiency and quality while ensuring that the concrete performance meets the geological conditions and stability requirements. It avoids the situation of simply focusing on performance and ignoring costs, or only considering costs and sacrificing performance, and achieves a balance between performance and cost, thereby improving the accuracy of underground cavern rock wall beam construction quality optimization decisions and ensuring that construction quality and comprehensive benefits are optimized.

[0041] Step S500: constructing a decision optimization model based on comprehensive evaluation indicators and taking into account the influence of comprehensive stability coefficients, and solving decision optimization results with the goal of maximizing comprehensive benefits; Step S500 includes: Step S510: Define the viscosity reduction component ratio as a decision variable, and construct an objective function with the goal of maximizing comprehensive benefits based on the comprehensive stability coefficient, comprehensive evaluation index, construction period and construction safety risk; specifically, the decision variable is set as the viscosity reduction component ratio , the objective function can be expressed as:

[0042] In the formula, represents the objective function value; represents the first weight coefficient, represents the second weight coefficient, represents the third weight coefficient; It represents the comprehensive stability coefficient related to the distribution ratio of the viscosity-reducing group, reflecting the influence of different distribution ratios of the viscosity-reducing group on the stability of the rock wall beam; It represents the comprehensive evaluation index of concrete construction performance related to the distribution ratio of viscosity reducing components, reflecting the influence of different distribution ratios of viscosity reducing components on concrete construction performance; It indicates the construction period related to the distribution ratio of the viscosity reducing group, reflecting the influence of different distribution ratios of the viscosity reducing group on the construction period; It represents the construction safety risk related to the ratio of viscosity reducing components, reflecting the impact of different ratios of viscosity reducing components on construction safety risk; among them, , the weight values ​​of each factor can be determined according to the actual situation of the project; specifically, the weight of each factor can be reasonably determined according to the importance of the construction of the underground powerhouse of the hydropower station, the difficulty of construction, the construction period requirements and other factors. For example, if the construction period is tight, the weight of each factor can be appropriately increased. If the structural stability requirement is high, the weight can be increased. The objective function aims to maximize the comprehensive benefits, taking into account the stability of the rock wall beam, the performance of concrete construction, the construction period and the construction safety risk; It reflects the contribution of stability and concrete performance to the overall benefits; It means that the shorter the construction period, the greater the contribution to the overall benefits; It means that the lower the construction safety risk, the greater the contribution to the overall benefits; Step S520: Based on the preset viscosity reduction component ratio constraint, concrete performance constraint, construction period constraint and construction safety risk constraint, an optimization algorithm is used to solve the optimal decision result; specifically, the constraints of this embodiment include: Viscosity reduction component ratio constraints: ,in and It is the lower and upper limits of the viscosity reducing component ratio, which is determined by the product instructions of the viscosity reducing agent and engineering experience; Concrete performance constraints: including strength constraints: ,in Is the ratio of viscosity reducing component The relevant concrete compressive strength, It is the minimum compressive strength of concrete required by the design; Durability constraint: by controlling the impermeability grade of concrete and frost resistance level To achieve, such as , ,in and It is the minimum anti-seepage grade and anti-freeze grade required by the design; Construction period constraints: ,in is the maximum construction period specified in the project; Construction safety risk constraints: ,in is the maximum acceptable level of construction safety risk; Based on the above constraints, optimization algorithms such as genetic algorithm and particle swarm algorithm are used to solve the objective function. Under the premise of satisfying all constraints, the calculation is iterated continuously until the optimal viscosity reduction component ratio that makes the objective function reach the maximum value is found; concrete construction is carried out according to the obtained optimal viscosity reduction component ratio. During the construction process, the performance of concrete (such as strength, viscosity, bubble level, etc.), the stability of rock wall beams, and indicators such as construction period and safety risks are continuously monitored. If the actual situation is found to deviate from the expected during the monitoring process, the reasons are analyzed in time, and the viscosity reduction component ratio or other construction parameters are adjusted to ensure the optimal construction quality and comprehensive benefits.

[0043] In summary, the decision optimization model constructed in this embodiment comprehensively considers multiple key factors in the construction of underground cave rock wall beams, including the stability of rock wall beams, concrete construction performance, construction period and construction safety risks, etc., and solves the optimal viscosity reduction component ratio with the goal of maximizing comprehensive benefits. This method avoids the limitations of single-factor decision-making, can find a balance between multiple goals, and achieve the optimal allocation of resources. During the construction process, the continuous monitoring and adjustment mechanism ensures that the construction plan can be dynamically optimized according to actual conditions, correct deviations in a timely manner, and ensure that the construction quality and comprehensive benefits are optimized. Ultimately, it can effectively improve the accuracy of the construction quality optimization decision of the underground cave rock wall beam, reduce construction risks, shorten the construction period, save costs, improve the overall quality and economic benefits of the project, and provide scientific and effective decision-making methods and technical support for underground cave construction.

[0044] A specific embodiment of the present invention is provided below: In this embodiment, a rock wall beam construction project of an underground powerhouse of a hydropower station has complex geological conditions of the surrounding rock of the underground cavern, with multiple cracks and rock mass areas of different strengths. It is necessary to select a suitable viscosity reduction component ratio to improve the construction quality of the concrete and the stability of the rock wall beam, while meeting the construction period and safety requirements. Data acquisition and analysis: The rock wall strength and crack distribution data were obtained through geological drilling and geophysical exploration methods. After normalization preprocessing, a three-dimensional model was constructed and the comprehensive stability coefficient was calculated. . Under different viscosity-reducing component ratios, the change in concrete properties has a certain impact on the comprehensive stability coefficient; Then, concrete experiments with different viscosity-reducing component ratios were conducted to obtain bubble grade data, viscosity data, and cost data, and to construct a comprehensive evaluation index for concrete construction performance. At the same time, through construction simulation and empirical analysis, the construction period under different viscosity reduction component ratios was obtained. and construction safety risks ; Decision optimization process: Determine the weight coefficient according to the project characteristics and determine , , , that is, more emphasis is placed on structural stability and concrete performance; Set constraints: Viscosity reduction component ratio range and ;Concrete compressive strength ; Impermeability grade ; Antifreeze grade ; Maximum construction period Days; Maximum construction safety risk level ; Solving the objective function: Genetic algorithm is used to solve the objective function. After multiple iterations, the optimal viscosity reduction component ratio is obtained. ; This embodiment is based on the optimal viscosity reduction component ratio During the concrete construction, the rock wall beam concrete was filled fully and had good appearance quality. After testing, the concrete compressive strength reached 38MPa, the impermeability grade reached P10, and the frost resistance grade reached F200. The rock wall beam structure was stable, the construction process was safe and smooth, and the construction task was completed 5 days ahead of schedule, achieving good economic and social benefits. It can be seen that the optimal ratio can not only ensure the stability of the rock wall beam, but also make the concrete construction performance good and the cost reasonable, and can also meet the requirements of construction period and safety.

[0045] In summary, the underground cave rock wall beam construction quality optimization method provided by the present invention significantly improves the accuracy of construction quality optimization decisions from multiple dimensions, and effectively ensures that the construction quality and comprehensive benefits are optimized. The three-dimensional model constructed by the present invention and the comprehensive stability coefficient extracted can intuitively and accurately simulate and quantify the influence of geological conditions on the stability of rock wall beams. For example, by calculating the rock mass strength influencing factor and the crack influencing factor, potential unstable areas can be identified in advance, so as to formulate a targeted reinforcement plan and effectively reduce the safety risks in construction. On the other hand, by obtaining the bubble level and viscosity data under different viscosity reduction component ratios, constructing relevant influencing factors and comprehensive evaluation indicators, we can deeply analyze the specific influence of the viscosity reduction component ratio on the performance of concrete, and then accurately screen out the most suitable viscosity reduction component ratio according to geological conditions and stability requirements, prepare high-performance concrete, and improve the quality of concrete construction and the ability of rock wall beams to work together with the surrounding rock mass. Finally, a decision optimization model is constructed to take into account multiple key factors such as comprehensive stability coefficient, concrete construction performance, construction period and safety risks, and solve the optimal viscosity reduction component ratio with the goal of maximizing comprehensive benefits. At the same time, constraints such as the ratio of viscosity-reducing components, concrete performance, construction period and safety risks are set to ensure the feasibility and rationality of the decision. The continuous monitoring and dynamic adjustment mechanism during the construction process can timely detect the deviation between the actual situation and the expected situation and make adjustments quickly. The comprehensive, systematic and scientific method of the present invention avoids the one-sidedness of single-factor decision-making, achieves the balance of multiple objectives and the optimal allocation of resources, greatly improves the accuracy of construction quality optimization decisions, and ultimately ensures that the construction quality and comprehensive benefits of the underground cavern rock wall beams are optimized.

[0046] See also Figure 2 , which shows a schematic diagram of the structure of the underground cave rock wall beam construction quality optimization system provided by the technical solution of the second aspect of the present invention, the system comprising: A data acquisition module configured to acquire geological data of a target underground cavern and pre-process the geological data; a three-dimensional model building module configured to build a three-dimensional model of a rock wall beam of a target underground cavern based on the preprocessed geological data and extract a comprehensive stability coefficient; An experimental simulation module is configured to obtain concrete related data under different proportions of viscosity reducing components, where the concrete related data at least includes bubble grade data and concrete viscosity data; A quantitative analysis module configured to extract comprehensive evaluation indicators based on concrete-related data and taking into account the impact of the cost of viscosity-reducing components; The decision optimization module is configured to build a decision optimization model based on comprehensive evaluation indicators and taking into account the influence of the comprehensive stability coefficient, and to solve the decision optimization results with the goal of maximizing the comprehensive benefits.

[0047] The technical solution of the third aspect of the present invention provides an electronic device, comprising: a processor and a memory communicatively connected to the processor; wherein the memory stores instructions executable by the processor, and the instructions are executed by the processor so that the processor can execute the steps of the underground cavern rock wall beam construction quality optimization method described in the technical solution of the first aspect of the present invention.

[0048] The technical solution of the fourth aspect of the present invention provides a computer-readable storage medium, on which is stored a program for implementing a method for optimizing the construction quality of underground cavern rock wall beams. The program for implementing the method for optimizing the construction quality of underground cavern rock wall beams is executed by a processor to implement the steps of the method for optimizing the construction quality of underground cavern rock wall beams described in the technical solution of the first aspect of the present invention.

[0049] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0050] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A method for optimizing the construction quality of rock wall beams in underground caverns, characterized in that: The method comprises: Obtain geological data of the target underground cavern and pre-process the geological data; Based on the preprocessed geological data, a three-dimensional model of the rock wall beam of the target underground cavern is constructed, and the comprehensive stability coefficient is extracted; Acquire concrete related data under different proportions of viscosity reducing components, the concrete related data at least including bubble grade data and concrete viscosity data; Based on concrete related data and considering the impact of viscosity reduction component cost, comprehensive evaluation indicators are extracted; A decision optimization model is constructed based on comprehensive evaluation indicators and considering the influence of comprehensive stability coefficient, and the decision optimization results are solved with the goal of maximizing comprehensive benefits.

2. The method for optimizing the construction quality of underground cave rock wall beams according to claim 1, characterized in that: Obtain the geological data of the target underground cavern and pre-process the geological data, including: Obtain rock wall strength and crack data of the target underground cavern; The rock wall strength and crack data are normalized and preprocessed.

3. The method for optimizing the construction quality of underground cave rock wall beams according to claim 1, characterized in that: Based on the preprocessed geological data, a three-dimensional model of the target underground cavern rock wall beam is constructed, and the comprehensive stability coefficient is extracted, including: Construct a three-dimensional model based on the drawings of the rock beam wall of the target underground cavern; Import the preprocessed geological data into the three-dimensional model, and calculate the rock mass strength influencing factor and the crack influencing factor according to the rock wall strength and crack data; The comprehensive stability coefficient is calculated based on the rock mass strength influencing factor and the crack influencing factor.

4. The method for optimizing the construction quality of underground cave rock wall beams according to claim 3, characterized in that: According to the rock wall strength and crack data, the rock mass strength influencing factors and crack influencing factors are calculated respectively, including: Based on the first preset correction coefficient, the rock mass strength influencing factor is calculated taking into account the volume proportion of different rock mass areas and the rock mass strength; Based on the second preset correction coefficient, the crack influence factor is calculated by taking into account the volume proportion of the affected area of ​​each crack and the crack width.

5. The method for optimizing the construction quality of underground cave rock wall beams according to claim 1, characterized in that: Based on concrete related data and considering the impact of viscosity reduction component costs, comprehensive evaluation indicators are extracted, including: Calculate the air bubble grade influencing factor and the viscosity influencing factor based on the air bubble grade data and the concrete viscosity data; Based on the calculated bubble level influencing factor and viscosity influencing factor, and considering the impact of the viscosity reduction component cost, the comprehensive evaluation index is calculated. The expression of the comprehensive evaluation index is: In the formula, represents comprehensive evaluation index; Indicates the bubble level influencing factor; represents the viscosity influencing factor; represents the normalized viscosity reduction component cost.

6. The method for optimizing the construction quality of underground cavern rock wall beams according to any one of claims 1 to 5, characterized in that: Based on the comprehensive evaluation index and considering the influence of the comprehensive stability coefficient, a decision optimization model is constructed to solve the decision optimization results with the goal of maximizing the comprehensive benefits, including: The viscosity reduction component ratio is defined as a decision variable, and an objective function is constructed based on the comprehensive stability coefficient, comprehensive evaluation index, construction period and construction safety risk to maximize the comprehensive benefit. Based on the preset viscosity reducing component ratio constraints, concrete performance constraints, construction period constraints and construction safety risk constraints, an optimization algorithm is used to solve the optimal decision result.

7. The method for optimizing the construction quality of underground cavern rock wall beams according to claim 6, characterized in that: The expression of the objective function is: In the formula, represents the objective function value; represents the first weight coefficient, represents the second weight coefficient, represents the third weight coefficient; It represents the comprehensive stability coefficient related to the distribution ratio of the viscosity-reducing group, reflecting the influence of different distribution ratios of the viscosity-reducing group on the stability of the rock wall beam; It represents the comprehensive evaluation index of concrete construction performance related to the distribution ratio of viscosity reducing components, reflecting the influence of different distribution ratios of viscosity reducing components on concrete construction performance; It indicates the construction period related to the distribution ratio of the viscosity reducing group, reflecting the influence of different distribution ratios of the viscosity reducing group on the construction period; It indicates the construction safety risk related to the distribution ratio of the viscosity reducing group, and reflects the impact of different distribution ratios of the viscosity reducing group on the construction safety risk.

8. Underground cave rock wall beam construction quality optimization system, characterized by: The method for optimizing the construction quality of underground cavern rock wall beams according to any one of claims 1 to 7 is adopted, wherein the system comprises: A data acquisition module configured to acquire geological data of a target underground cavern and pre-process the geological data; a three-dimensional model building module configured to build a three-dimensional model of a rock wall beam of a target underground cavern based on the preprocessed geological data and extract a comprehensive stability coefficient; An experimental simulation module is configured to obtain concrete related data under different proportions of viscosity reducing components, where the concrete related data at least includes bubble grade data and concrete viscosity data; A quantitative analysis module configured to extract comprehensive evaluation indicators based on concrete-related data and taking into account the impact of the cost of viscosity-reducing components; The decision optimization module is configured to build a decision optimization model based on comprehensive evaluation indicators and taking into account the influence of the comprehensive stability coefficient, and to solve the decision optimization results with the goal of maximizing the comprehensive benefits.

9. An electronic device, characterized in that: The electronic device includes: a processor and a memory communicatively connected to the processor; wherein the memory stores instructions executable by the processor, and the instructions are executed by the processor so that the processor can execute the steps of the underground cavern rock wall beam construction quality optimization method described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program for implementing a method for optimizing the construction quality of underground cavern rock wall beams, and the program for implementing a method for optimizing the construction quality of underground cavern rock wall beams is executed by a processor to implement the steps of the method for optimizing the construction quality of underground cavern rock wall beams as described in any one of claims 1 to 7.

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