Construction method of cast-in-situ bored pile in karst development area

Abstract

The invention relates to the technical field of civil engineering, in particular to a karst development area cast-in-situ bored pile construction method which comprises the following steps: based on construction position information, collecting electromagnetic wave data of a target area at multiple angles and depths, and recording rock layer, karst cave and crack data to obtain geological data of the target area. According to the method, a data basis is provided for geological three-dimensional model construction by utilizing electromagnetic wave data and identifying a rock layer, a karst cave and a crack, the prediction precision of the model is improved by simulating the response of karst, a fault and a soft soil layer to a structure, and the prediction accuracy of the model is improved by combining the evaluation of chemical erosion and physical erosion effects of a target karst development area on the cast-in-place pile. The long-term influence of the environment on the pouring material is predicted, the stability and safety of the structure are improved, the long-term sustainability of a target engineering project under the karst complex geological condition is ensured, and the scientificity and efficiency of construction planning are improved by combining drilling position analysis and construction path planning.

Description

Technical Field

[0001] The invention relates to the technical field of civil engineering, and in particular to a bored cast-in-place pile construction method in a karst development area. Background Art

[0002] The field of civil engineering technology focuses on the design, construction and maintenance of a variety of infrastructure in natural and man-made environments, including bridges, roads, tunnels, dams, ports, airports, water supply and drainage systems. It involves multiple fields such as environmental protection, transportation planning and foundation treatment. It combines geological science, material science and structural engineering, considers environmental factors and social impacts, implements scientific design and construction methods, ensures the stability of buildings and structures in areas with complex geology and unstable terrain, and ensures the long-term sustainability and safety of infrastructure.

[0003] Among them, the bored cast-in-place pile construction method in karst development areas focuses on the design of areas with complex karst terrain, taking into account the unstable cavities and cracks formed by rock dissolution, and using bored cast-in-place pile technology to control the location and depth of the boreholes and the process of pouring concrete to enhance the bearing capacity and stability of the foundation. It is applied to the construction of large structures that require highly stable foundations, including the bases of high-rise buildings, bridges and heavy machinery and equipment, to ensure that various structures maintain safety and stability under complex karst geological conditions and reduce foundation settlement and structural damage.

[0004] The bored cast-in-place pile construction method in karst development areas lacks data support and predictive capabilities in the treatment of karst terrain. The collection of geological data is not comprehensive enough, and the underground caves and cracks cannot be fully identified and recorded in the complex karst terrain, resulting in inaccurate geological models, leading to safety hazards during construction and long-term operation. The assessment of chemical and physical erosion effects has not been fully considered, resulting in structural damage and increased maintenance costs and risks. In the selection of drilling locations and construction sequence planning, groundwater flow characteristics and geological changes cannot be considered, resulting in inefficiency and safety accidents in construction, limiting the scope and effect of civil engineering applications under complex geological conditions. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a bored cast-in-place pile construction method in a karst development area.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme: a method for constructing bored piles in karst development areas, comprising the following steps:

[0007] S1: Based on the construction location information, collect electromagnetic wave data at multiple angles and depths in the target area, record rock layer, cave and crack data, and obtain geological data of the target area;

[0008] S2: Based on the geological data of the target area, a geological three-dimensional model of the target karst area is constructed to simulate the influence of karst, faults and soft soil layers on structural response and generate a mechanical response model;

[0009] S3: Based on the mechanical response model, the interaction between the injection material and the karst medium is analyzed, the chemical erosion and physical erosion effects are evaluated, and the environmental response simulation results are generated;

[0010] S4: Based on the environmental response simulation results, by analyzing the geological characteristics of the target area, considering geological stability and construction feasibility, calculating multiple drilling positions, and generating drilling position information;

[0011] S5: According to the drilling location information, according to the groundwater flow characteristics, rock stability and real-time geological changes in the target area, taking into account construction risks and efficiency, calculating the drilling path and construction sequence, and generating a construction path calculation result;

[0012] S6: Based on the calculation results of the construction path, collect electromagnetic wave data of the bored piles in the construction area, identify cracks, cavities, and foreign objects inside the pile body by analyzing the changes in electromagnetic waves, evaluate the structural integrity of the bored piles, and generate bored pile construction information.

[0013] As a further solution of the present invention, the geological data of the target area includes rock layer density information, cave location information, crack width and direction information, the geological three-dimensional model includes a three-dimensional model of the karst structure, fault location mapping parameters, and the thickness and distribution range information of the soft soil layer. The environmental response simulation results include dynamic simulation results of the interaction between the grouting material and the karst medium, depth analysis results of chemical erosion rate and physical erosion, and erosion area prediction results. The drilling location information includes drilling location coordinates, expected drilling depth, and surrounding geological stability assessment results. The construction path calculation results include drilling sequence information, construction risk assessment results, and a construction schedule. The cast-in-place pile construction information includes location and length information of cracks inside the pile body, size and location information of the voids, and type and distribution information of foreign matter.

[0014] As a further solution of the present invention, based on the construction location information, electromagnetic wave data at multiple angles and depths of the target area are collected, rock layer, cave and crack data are recorded, and the steps of obtaining geological data of the target area are specifically as follows:

[0015] S101: Based on the construction location information, electromagnetic wave data on the surface and underground of the target construction area are collected by electromagnetic wave detection equipment to obtain an electromagnetic wave data set;

[0016] S102: Based on the electromagnetic wave data set, evaluate the influence of various geological forms on the electromagnetic wave data, including the electromagnetic characteristics of the rock layer, the signal reflection mode of the cave, and the electromagnetic scattering effect of the crack, and obtain the electromagnetic characteristic analysis result;

[0017] S103: Based on the electromagnetic characteristic analysis results, identify the geological characteristics of multiple locations in the target area, evaluate the differences and continuity of the geological morphology in the karst development area in spatial distribution, and generate geological data for the target area.

[0018] As a further solution of the present invention, based on the geological data of the target area, a geological three-dimensional model of the target karst area is constructed to simulate the influence of karst, faults and soft soil layers on the structural response. The steps of generating the mechanical response model are specifically as follows:

[0019] S201: Based on the geological data of the target area, a three-dimensional model of the target karst area is established through geological morphological data of multiple locations, and the underground structure is simulated to generate a three-dimensional geological model;

[0020] S202: Based on the three-dimensional geological model, quantitatively analyze the influence of karst, faults and soft soil layers, calculate the stress, strain and displacement in the model, adjust the model parameters to match the actual observation data, and generate mechanical behavior analysis results;

[0021] S203: Based on the mechanical behavior analysis results, the influence of geological factors on the construction structure is evaluated, and the accuracy of the response simulation and simulation results is optimized by adjusting model parameters to generate a mechanical response model.

[0022] As a further solution of the present invention, based on the mechanical response model, the interaction between the injection material and the karst medium is analyzed, the chemical erosion and physical erosion effects are evaluated, and the steps of generating environmental response simulation results are specifically as follows:

[0023] S301: Based on the mechanical response model, simulate the fluid dynamics behavior between the injection material and the karst medium, record the flow pattern and dynamic parameters of the fluid under geological pressure and velocity conditions, and generate fluid dynamics behavior data;

[0024] S302: Based on the fluid dynamic behavior data, evaluate the interaction between the injection material and the mineral components in the karst medium, including calcification and dissolution rate, and generate chemical analysis results;

[0025] S303: Based on the chemical action analysis results, the effects of chemical and physical erosion on the rock structure are evaluated, the effects of various factors on the structural integrity of the cast-in-place piles are analyzed, and environmental response simulation results are generated.

[0026] As a further solution of the present invention, based on the environmental response simulation results, by analyzing the geological characteristics of the target area, considering the geological stability and construction feasibility, calculating multiple drilling positions, and generating drilling position information are specifically as follows:

[0027] S401: Based on the environmental response simulation results, analyzing the distribution and hardness characteristics of rock types in the target area, recording stability parameters of multiple rock types, and generating rock stability data;

[0028] S402: Based on the rock stability data, analyze the fracture distribution and hydrogeological conditions of the karst development zone in the target area, evaluate the impact of various rock fracture densities and hydrological activities on the construction project, and generate fracture hydrological analysis results;

[0029] S403: Based on the fracture hydrological analysis results and in combination with geological stability information, multiple drilling locations are calculated by evaluating the feasibility of construction at multiple locations to generate drilling location information.

[0030] As a further solution of the present invention, the decision tree algorithm is based on the formula

[0031]

[0032] Calculate multiple drilling positions to obtain a drilling position data set;

[0033] Among them, P is a score used to quantify the suitability of the drilling location, S represents the fracture distribution index, which is used to quantify the extensiveness and concentrated areas of fractures, which critically affect the safety and stability of drilling, H represents the rock hardness index, which reflects the bearing capacity of the formation and the difficulty of drilling, R represents the hydrological activity index, which considers the potential erosion and impact of water flow on the construction area, D represents the geological stability score, which is the result of comprehensive geological data evaluation, and W represents the risk adjustment factor, which is used to adjust the geological stability score to reflect the construction risks under different geological conditions.

[0034] As a further solution of the present invention, according to the drilling location information, according to the groundwater flow characteristics, rock stability and real-time geological changes in the target area, taking into account the construction risks and efficiency, the drilling path and construction sequence are calculated, and the steps of generating the construction path calculation result are specifically as follows:

[0035] S501: Based on the drilling position information, using geological and construction data, considering terrain obstacles in the target construction area, analyzing and calculating construction paths between multiple drilling positions, and generating drilling path optimization results;

[0036] S502: Based on the drilling path optimization result, the construction risks of multiple drilling locations are evaluated according to the groundwater flow characteristics, rock formation stability and real-time geological changes in the target area, and construction risk assessment information is generated;

[0037] S503: Based on the construction risk assessment information, considering the construction difficulty and resource requirements of drilling holes at multiple locations, analyzing and calculating the construction sequence of the target project, optimizing the construction efficiency, and generating a construction path calculation result.

[0038] As a further solution of the present invention, based on the calculation result of the construction path, electromagnetic wave data of the bored piles in the construction area are collected, and cracks, cavities, and foreign objects inside the pile body are identified by analyzing the changes in electromagnetic waves, and the structural integrity of the bored piles is evaluated. The steps of generating bored pile construction information are specifically as follows:

[0039] S601: Based on the calculation result of the construction path, electromagnetic wave data of the cast-in-place pile body is collected by electromagnetic wave detection equipment, and electromagnetic wave changes are analyzed to generate electromagnetic wave data of the pile body;

[0040] S602: Analyze the electromagnetic wave data of the pile body, and evaluate the internal structural abnormalities of the pile body, including cracks, cavities, and foreign matter, by analyzing the signal changes of the electromagnetic waves in various media, and generate a pile body defect analysis result;

[0041] S603: Based on the pile body defect analysis result, analyze the integrity of the cast-in-place pile structure, evaluate the pile body safety and construction quality, and generate cast-in-place pile construction information.

[0042] As a further solution of the present invention, the finite element analysis method is based on the formula

[0043]

[0044] Calculate the pile structure safety index and obtain the cast-in-place pile structural safety score;

[0045] Among them, F i Represents the stress intensity of the i-th element, indicating the actual stress magnitude that the element bears during actual loading or construction. i Represents the elastic modulus of the material, describing the material's ability to deform under force, T i It represents the theoretical stress threshold of the element, which refers to the maximum safety stress that the material or component can withstand under specific application conditions as specified in the design and safety standards. n represents the total number of elements, indicating the number of discrete elements considered in the finite element model. S represents the structural safety index, which represents the overall safety of the entire pile or structure at each point considered in the analysis. i is used to index or identify the variables of each individual element in the finite element analysis.

[0046] Compared with the prior art, the advantages and positive effects of the present invention are:

[0047] In the present invention, electromagnetic wave data is used to identify rock layers, caves and cracks, providing a data basis for the construction of a geological three-dimensional model. The prediction accuracy of the model is improved by simulating the response of karst, faults and soft soil layers to the structure. Combined with the evaluation of the chemical erosion and physical erosion effects of bored piles in the target karst development area, the long-term impact of the environment on the bored material is predicted, the stability and safety of the structure are improved, and the long-term sustainability of the target engineering project under complex karst geological conditions is ensured. Combined with the analysis of drilling location and construction path planning, the scientificity and efficiency of construction planning are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic diagram of the main steps of the present invention;

[0049] Figure 2 It is a schematic diagram of the refinement of S1 of the present invention;

[0050] Figure 3 It is a schematic diagram of the refinement of S2 of the present invention;

[0051] Figure 4 It is a schematic diagram of the refinement of S3 of the present invention;

[0052] Figure 5 It is a schematic diagram of the refinement of S4 of the present invention;

[0053] Figure 6 It is a detailed schematic diagram of S5 of the present invention;

[0054] Figure 7 It is a detailed schematic diagram of S6 of the present invention. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0056] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0057] Embodiment 1

[0058] See also Figure 1 The present invention provides a technical solution: a method for constructing bored piles in a karst development area, comprising the following steps:

[0059] S1: Based on the construction location information, collect electromagnetic wave data at multiple angles and depths in the target area, record rock layer, cave and crack data, and obtain geological data of the target area;

[0060] S2: Based on the geological data of the target area, a geological three-dimensional model of the target karst area is constructed to simulate the influence of karst, faults and soft soil layers on the structural response and generate a mechanical response model;

[0061] S3: Based on the mechanical response model, the interaction between the injection material and the karst medium is analyzed, the chemical erosion and physical erosion effects are evaluated, and the environmental response simulation results are generated;

[0062] S4: Based on the environmental response simulation results, by analyzing the geological characteristics of the target area, considering the geological stability and construction feasibility, multiple drilling locations are calculated to generate drilling location information;

[0063] S5: Based on the drilling location information, the groundwater flow characteristics, rock stability and real-time geological changes in the target area, and taking into account the construction risks and efficiency, the drilling path and construction sequence are calculated to generate the construction path calculation results;

[0064] S6: Based on the calculation results of the construction path, collect the electromagnetic wave data of the bored piles in the construction area, identify the cracks, voids, and foreign objects inside the pile body by analyzing the changes in the electromagnetic waves, evaluate the structural integrity of the bored piles, and generate bored pile construction information.

[0065] The geological data of the target area include rock layer density information, cave location information, crack width and direction information. The geological three-dimensional model includes the three-dimensional model of the karst structure, fault location mapping parameters, and the thickness and distribution range of the soft soil layer. The environmental response simulation results include the dynamic simulation results of the interaction between the grouting material and the karst medium, the depth analysis results of the chemical erosion rate and the physical erosion, and the erosion area prediction results. The drilling location information includes the drilling location coordinates, the expected drilling depth, and the surrounding geological stability assessment results. The construction path calculation results include the drilling sequence information, the construction risk assessment results, and the construction schedule. The bored pile construction information includes the location and length information of the cracks inside the pile body, the size and location information of the voids, and the type and distribution information of foreign matter.

[0066] See also Figure 2Based on the construction location information, the electromagnetic wave data at multiple angles and depths of the target area are collected, and the rock layer, cave and crack data are recorded. The specific steps to obtain the geological data of the target area are as follows:

[0067] S101: Based on the construction location information, electromagnetic wave data on the surface and underground of the target construction area are collected by electromagnetic wave detection equipment to obtain an electromagnetic wave data set;

[0068] In sub-step S101, based on the construction location information, electromagnetic wave data on the surface and underground of the target construction area are collected through electromagnetic wave detection equipment, and the designated construction area is scanned using a ground penetrating radar system. Radar signals are transmitted underground at fixed time intervals, and signals reflected by different geological structures are received and recorded to form an original electromagnetic wave data set. The data set format is a sequence of timestamps and reflected signal intensities, which records the interaction between the signal and the underground structure. By setting a specific frequency and scanning depth for the electromagnetic wave detection equipment, it is ensured that the data can reflect the situation deep underground, providing accurate basic data for geological analysis. The generated electromagnetic wave data set is used to evaluate the electromagnetic characteristics of geological structures.

[0069] S102: Based on the electromagnetic wave data set, evaluate the impact of various geological forms on the electromagnetic wave data, including the electromagnetic characteristics of rock layers, signal reflection patterns of caves, and electromagnetic scattering effects of cracks, and obtain electromagnetic feature analysis results;

[0070] In sub-step S102, based on the electromagnetic wave data set, the impact of various geological forms on the electromagnetic wave data is evaluated, the electromagnetic wave data is analyzed using signal processing and image analysis technology, the electromagnetic wave signal is processed using Fourier transform, the reflection characteristics of the underground structure are analyzed in the frequency domain, and the signal characteristics are classified using principal component analysis and clustering algorithms to distinguish different geological forms, including rock layers, caves, and fissures. By converting the reflection and scattering patterns of electromagnetic waves into quantifiable indicators, the electromagnetic feature analysis results are generated, the electromagnetic response characteristics of different geological forms are depicted, and a scientific basis is provided for geological feature identification.

[0071] S103: Based on the electromagnetic characteristic analysis results, identify the geological characteristics of multiple locations in the target area, evaluate the differences and continuity of the geological morphology in the karst development area in spatial distribution, and generate geological data for the target area;

[0072] In sub-step S103, based on the results of electromagnetic feature analysis, the geological features of multiple locations in the target area are identified, and geostatistical methods, including variogram analysis and spatial interpolation technology, are used to evaluate the differences and continuity of the spatial distribution of geological morphology in the karst development area, simulate and predict the spatial distribution of underground geological structures, and generate geological data for the target area. The generated geological data includes spatial coordinates, geological types and their electromagnetic characteristics, which provide accurate reference information for construction safety assessment and geological exploration. Through the recording and analysis of geological data, construction planning and risk management are supported to ensure the safety and efficiency of the construction process.

[0073] See also Figure 3 Based on the geological data of the target area, a geological three-dimensional model of the target karst area is constructed to simulate the influence of karst, faults and soft soil layers on the structural response. The specific steps for generating the mechanical response model are as follows:

[0074] S201: Based on the geological data of the target area, a three-dimensional model of the target karst area is established through geological morphological data of multiple locations, and the underground structure is simulated to generate a three-dimensional geological model;

[0075] In sub-step S201, based on the geological data of the target area, a geological three-dimensional model of the karst area is constructed through geological morphological data of multiple locations and the underground structure is simulated. The model is constructed using a geographic information system and computer-aided design software. The geological data format includes geographic coordinates, rock types and geological characteristic parameters. The collected two-dimensional geological data is converted into three-dimensional space coordinates. The continuous geological data is discretized using the voxel method to form a three-dimensional grid model. The data transition between grids is optimized in combination with interpolation technology to ensure the continuity and accuracy of the model, reflect the distribution of underground rock layers, caves and cracks, and provide a three-dimensional geological framework for mechanical behavior analysis. The generated three-dimensional geological model is used for engineering design and risk assessment.

[0076] S202: Based on the three-dimensional geological model, quantitatively analyze the influence of karst, faults and soft soil layers, calculate the stress, strain and displacement in the model, adjust the model parameters to match the actual observation data, and generate mechanical behavior analysis results;

[0077] In sub-step S202, based on the three-dimensional geological model, the influence of karst, fault and soft soil layer is quantitatively analyzed, and the stress, strain and displacement in the model are calculated. The finite element method is used for simulation, wherein, according to the stress-strain relationship and the continuity condition of the displacement, the stress σ can be calculated by the formula σ=D·, where D is the stiffness matrix of the material, is the strain vector,

[0078] In the formula, σ represents stress, D represents the material stiffness matrix, represents the strain vector,

[0079] Detailed explanation of the formula and the process of formula calculation and derivation:

[0080] The specific material parameters are set to rock, with Young's modulus E of 70 GPa and Poisson's ratio ν of 0.25. The stiffness matrix D can be calculated from Young's modulus and Poisson's ratio. The strain vector is calculated from the measured deformation data. Assuming that the unit deformation xx of a certain point is 0.001 and yy is 0.0012, the stiffness matrix formula under plane stress state is applied:

[0081]

[0082] By substituting into D·, the stress σ is calculated:

[0083]

[0084] The results show that under the above strain conditions, the stress response of the material and the calculation process match the actual observation data, ensuring the accuracy of the simulation, and the generated mechanical behavior analysis results are used for structural safety assessment.

[0085] S203: Based on the results of mechanical behavior analysis, the influence of geological factors on the construction structure is evaluated, and the accuracy of response simulation and simulation results is optimized by adjusting model parameters to generate a mechanical response model;

[0086] In sub-step S203, based on the results of mechanical behavior analysis, the impact of geological factors on the construction structure is evaluated, the model parameters are adjusted through finite element simulation software, the accuracy of response simulation is optimized, and the various material properties of rock and soil layers in the model are refined and set. According to the analysis results, the parameters are adjusted, including material hardness and density, to ensure that the simulation is more in line with the actual geological conditions, predict the geological risks encountered during construction and operation, and provide a scientific basis for engineering decision-making. The generated mechanical response model will be used for engineering analysis and design adjustments to ensure the safety of construction and the long-term stability of the project.

[0087] See also Figure 4 Based on the mechanical response model, the interaction between the injection material and the karst medium is analyzed, the chemical erosion and physical erosion effects are evaluated, and the steps to generate the environmental response simulation results are as follows:

[0088] S301: Based on the mechanical response model, simulate the fluid dynamics behavior between the injection material and the karst medium, record the flow pattern and dynamic parameters of the fluid under geological pressure and velocity conditions, and generate fluid dynamics behavior data;

[0089] In sub-step S301, based on the mechanical response model, the fluid dynamics behavior between the injection material and the karst medium is simulated. Computational fluid dynamics software is used to simulate the flow pattern of the fluid under geological pressure and velocity conditions by analyzing the Navier-Stokes equation. The data format is a collection of three-dimensional space coordinates, flow velocity and pressure values. Boundary conditions are set during the operation, including the fluid inlet velocity and outlet pressure, and the grid division technology is used to refine the calculation area to improve the accuracy of the simulation. Through iterative solution, the fluid dynamics parameters, including the velocity field and the pressure field, are recorded at different time steps. The generated fluid dynamics behavior data is used to analyze the interaction between the injection material and the karst medium, optimize the injection process and evaluate the injection effect.

[0090] S302: Based on the fluid dynamic behavior data, evaluate the interaction between the injection material and the mineral components in the karst medium, including calcification and dissolution rate, and generate chemical analysis results;

[0091] In sub-step S302, based on the fluid dynamics behavior data, the interaction between the grouting material and the mineral components in the karst medium is evaluated, and the chemical kinetics simulation software is used to analyze the calcification and dissolution rates. The data format includes reaction rate constants, temperature, pH value and concentration, etc. The chemical reaction model is set, including reactants, products, reaction order and rate constants. The chemical reaction kinetics under differentiated conditions is calculated by numerical solution. The generated chemical action analysis results are a quantitative description of the interaction between the grouting material and the karst medium, which provides a basis for improving material formulations and construction techniques, and improving construction quality and durability.

[0092] S303: Based on the results of chemical action analysis, evaluate the impact of chemical and physical erosion on rock structure, analyze the impact of various factors on the structural integrity of cast-in-place piles, and generate environmental response simulation results;

[0093] In sub-step S303, based on the results of chemical action analysis, the effects of chemical and physical erosion on rock structure are evaluated, and a multi-factor analysis is performed using a coupled chemical-mechanical analysis method. The data format includes chemical erosion parameters and physical and mechanical properties, integrating physical erosion models and chemical reaction models. The effects of chemical composition changes on rock mechanical properties are simulated and analyzed. The key factors affecting the structural integrity of cast-in-place piles are identified through simulation results, and environmental response simulation results are generated, which provide a scientific basis for risk assessment during the construction process and help to take preventive measures to ensure construction safety and the long-term stability of engineering structures.

[0094] See also Figure 5 Based on the environmental response simulation results, the geological characteristics of the target area are analyzed, the geological stability and construction feasibility are considered, and multiple drilling locations are calculated. The steps to generate drilling location information are as follows:

[0095] S401: Based on the environmental response simulation results, analyze the distribution and hardness characteristics of rock types in the target area, record the stability parameters of various rock types, and generate rock stability data;

[0096] In sub-step S401, based on the environmental response simulation results, the distribution and hardness characteristics of rock types in the target area are analyzed, and the geological information system is used for spatial analysis. The rock types and physical property data in the environmental simulation results are classified and mapped. The data format includes geographic coordinates, rock types, hardness and multiple mechanical properties. Statistical analysis software is used to calculate the stability parameters of each type of rock, including compressive strength and shear strength. A standardized method is used to integrate multi-source data to ensure accuracy. The generated rock stability data records the stability characteristics of different rock types in the target area. These data provide key geological safety indicators for construction design and help engineers make accurate construction plans and risk predictions.

[0097] S402: Based on rock stability data, analyze the fracture distribution and hydrogeological conditions in the karst development zone of the target area, evaluate the impact of various rock fracture densities and hydrological activities on the construction project, and generate fracture hydrological analysis results;

[0098] In sub-step S402, based on rock stability data, the fracture distribution and hydrogeological conditions of the karst development zone in the target area are analyzed, and the fracture density and hydrological activity are evaluated using geostatistical methods and hydrogeological modeling tools. The data set includes the fracture distribution map of the rock, fracture width, interval, and related hydrological parameters, including water flow velocity and water quality composition. The fracture distribution model is constructed using fracture network simulation software, and the groundwater flow simulation is performed using hydrological simulation software to quantitatively analyze the behavior of water flow through the fracture network. The generated fracture hydrological analysis results reveal the potential impact of hydrological activities on the construction area, including water pressure impact and erosion, providing a decision-making basis for hydrological management and fracture treatment during the construction process.

[0099] S403: Based on the fracture hydrological analysis results and in combination with the geological stability information, multiple drilling positions are calculated by evaluating the feasibility of construction at multiple positions to generate drilling position information;

[0100] Decision tree algorithm, according to the formula

[0101]

[0102] Calculate multiple drilling positions to obtain a drilling position data set;

[0103] Among them, P is a score used to quantify the suitability of the drilling location, S represents the fracture distribution index, which is used to quantify the extensiveness and concentrated areas of fractures, which critically affect the safety and stability of drilling, H represents the rock hardness index, which reflects the bearing capacity of the formation and the difficulty of drilling, R represents the hydrological activity index, which considers the potential erosion and impact of water flow on the construction area, D represents the geological stability score, which is the result of comprehensive geological data evaluation, and W represents the risk adjustment factor, which is used to adjust the geological stability score to reflect the construction risks under different geological conditions.

[0104] formula:

[0105]

[0106] Detailed explanation of the formula and the process of formula calculation and derivation:

[0107] Parameter definition and acquisition method:

[0108] S is the fracture distribution index, which is obtained by analyzing the density and distribution of fractures through geological exploration data. For example, the number and distribution range of fractures are obtained using surface scanning and underground imaging technology, and quantified as the number of fractures per square meter.

[0109] H is the rock hardness index, which is obtained through rock hardness test, such as the standard drilling test (SPT) result. Assume that the SPT result of a rock formation is 35 blows / 30cm.

[0110] R is the hydrological activity index, which is quantified as a water flow intensity index based on hydrogeological exploration data, such as groundwater level observation and flow velocity measurement, assuming that the water flow intensity is 2.5 m / s.

[0111] D is the geological stability score, which comprehensively considers the integrity of the geological structure and the rock fragmentation, and the assumed score is 85 (out of 100).

[0112] W (risk adjustment coefficient): Based on historical geological disaster data and current geological activity data, the adjustment coefficient is set, assuming it is 0.3. Formula calculation derivation process:

[0113] The parameters are set as follows:

[0114] S = 12 cracks / m2

[0115] H=35 hits / 30cm

[0116] R=2.5m / s

[0117] D=85

[0118] W=0.3

[0119] Substitute the parameters into the formula for calculation:

[0120]

[0121] Result interpretation:

[0122] The calculated P value is approximately 99.9, which represents the suitability score of the drilling location after risk adjustment considering the fracture density, rock formation hardness and hydrological activity intensity. The higher the score, the higher the construction feasibility and safety of the selected location. The value affects the selection of the drilling location and assists decision makers in selecting suitable points for construction from multiple alternative locations to ensure maximum safety and efficiency of construction.

[0123] See also Figure 6 ,According to the drilling location information, the groundwater flow characteristics, rock stability and real-time geological changes in the target area, and considering the construction risks and efficiency, the drilling path and construction sequence are calculated. The specific steps for generating the construction path calculation results are as follows:

[0124] S501: Based on the drilling location information, using geological and construction data, considering the terrain obstacles in the target construction area, analyzing and calculating the construction paths between multiple drilling locations, and generating drilling path optimization results;

[0125] In sub-step S501, based on the drilling location information, using geological and construction data, considering the terrain obstacle analysis of the target construction area and calculating the construction path between multiple drilling locations, the Astar algorithm is applied, wherein the total cost C of the drilling path can be calculated by the formula C=g(n)+h(n), where g(n) is the actual cost from the starting point to any vertex n, and h(n) is the estimated minimum cost (heuristic cost) from vertex n to the target.

[0126] Where C is the total cost of the drilling path, g(n) represents the actual path cost from the starting point to vertex n, and h(n) represents the estimated cost from vertex n to the target point.

[0127] Detailed explanation of the formula and the process of formula calculation and derivation:

[0128] Let the starting point be point A, the target point be point B, and set the actual path cost g(n) to the actual measured distance from point A to point n, assuming it is 500 meters, and the estimated cost h(n) to be the straight-line distance from point n to point B, assuming it is 300 meters. Assuming that the cost per meter in the path is 1 unit cost, then:

[0129] g(n)=500units

[0130] h(n)=300units

[0131] C=500+300=800units

[0132] The calculation results show that the total path cost from point A to point B through point n is 800 unit cost, which is used to select the path with the lowest cost and generate drilling path optimization results to help the construction team plan the drilling path, consider terrain obstacles and construction costs, and optimize resource utilization and time management.

[0133] S502: Based on the drilling path optimization result, the construction risks of multiple drilling locations are evaluated according to the groundwater flow characteristics, rock formation stability and real-time geological changes in the target area, and construction risk assessment information is generated;

[0134] In sub-step S502, based on the drilling path optimization results, the construction risks of multiple drilling locations are evaluated according to the groundwater flow characteristics, rock stability and real-time geological changes in the target area. The geological analysis software and hydrological simulation tools are used to analyze the rock and hydrological conditions in combination with real-time monitoring data. The data format includes rock stability parameters, hydrological dynamic data and geological change records. The evaluation process considers the potential risks of geological stability and hydrological conditions to construction, including landslides, hydraulic fracturing, etc. The generated construction risk assessment information is a risk level table and risk factor analysis results, which provides risk identification and response measures planning before construction and ensures construction safety.

[0135] S503: Based on the construction risk assessment information, considering the construction difficulty and resource requirements of drilling holes at multiple locations, analyzing and calculating the construction sequence of the target project, optimizing the construction efficiency, and generating a construction path calculation result;

[0136] In sub-step S503, based on the construction risk assessment information, the construction difficulty and resource requirements of drilling holes in multiple locations are considered, and the construction sequence of the target project is analyzed and calculated. The critical path method is applied, where the total construction project duration T can be calculated by the formula Calculate, where t i is the duration of a single activity in the project, ∑ represents the sum of the activity times on all critical paths,

[0137] Where T is the total duration of the construction project, t i represents the time of a single construction activity, and max means selecting the path with the longest duration from all project paths, namely the critical path.

[0138] Detailed explanation of the formula and the process of formula calculation and derivation:

[0139] There are three key activities in the assumed project, with durations of t 1 = 5 days, t 2 = 3 days, t 3 = 4 days,

[0140] And these three activities are executed sequentially on the critical path, and the total duration of the entire project is calculated as follows:

[0141] T=max(t 1 +t 2 +t 3 )

[0142] T=max(5+3+4)

[0143] T=12days

[0144] The results show that the shortest time to complete the entire construction project is 12 days without considering other non-critical activities. By optimizing the allocation and scheduling of construction resources, the generated construction path calculation results can ensure that the project is completed at the lowest cost and fastest speed, while ensuring compliance with the safety standards specified in the construction risk assessment.

[0145] See also Figure 7 Based on the calculation results of the construction path, the electromagnetic wave data of the bored piles in the construction area are collected. By analyzing the changes in electromagnetic waves, cracks, cavities, and foreign objects inside the pile body are identified, and the structural integrity of the bored piles is evaluated. The specific steps for generating bored pile construction information are as follows:

[0146] S601: Based on the calculation result of the construction path, electromagnetic wave data of the cast-in-place pile body is collected by electromagnetic wave detection equipment, and electromagnetic wave changes are analyzed to generate electromagnetic wave data of the pile body;

[0147] In sub-step S601, based on the calculation result of the construction path, electromagnetic wave data of the bored pile body is collected by electromagnetic wave detection equipment, and the bored pile is scanned along the predetermined construction path using ground penetrating radar equipment to collect the electromagnetic reflection signal of the pile body. The electromagnetic wave data format includes timestamp, signal strength and reflection characteristics. By setting matching scanning depth and resolution, it is ensured that the data can reflect the structural details inside the pile body. By analyzing the propagation and reflection modes of electromagnetic waves and recording the changes of electromagnetic waves in various media, electromagnetic wave data of the pile body is generated. The data reflects the internal structural state of the pile body and provides basic information for structural evaluation.

[0148] S602: Analyze the electromagnetic wave data of the pile body, and evaluate the internal structural abnormalities of the pile body, including cracks, cavities, and foreign objects, by analyzing the signal changes of the electromagnetic waves in various media, and generate the pile body defect analysis results;

[0149] In sub-step S602, the electromagnetic wave data of the pile body is analyzed. By analyzing the signal changes of the electromagnetic waves in various media, the abnormalities of the internal structure of the pile body are evaluated. Signal processing techniques, including Fourier transform and waveform analysis, are used to process the electromagnetic wave data and identify abnormal patterns in the signal, including sudden changes in reflection intensity or waveform distortion. The data changes indicate the presence of cracks, voids or foreign matter in the pile body. The electromagnetic wave data is converted into a visualized internal structure image using an image reconstruction algorithm, which is convenient for intuitively identifying and locating internal defects. The generated pile body defect analysis results include defect information and location information, which provide a diagnostic basis for construction quality control and subsequent maintenance, ensuring project safety and reliability.

[0150] S603: Based on the pile body defect analysis results, analyze the integrity of the cast-in-place pile structure, evaluate the pile body safety and construction quality, and generate cast-in-place pile construction information;

[0151] Finite element analysis method, according to the formula

[0152]

[0153] Calculate the pile structure safety index and obtain the cast-in-place pile structural safety score;

[0154] Among them, F i Represents the stress intensity of the i-th element, indicating the actual stress magnitude that the element bears during actual loading or construction. i Represents the elastic modulus of the material, describing the material's ability to deform under force, T i It represents the theoretical stress threshold of the element, which refers to the maximum safety stress that the material or component can withstand under specific application conditions as specified in the design and safety standards. n represents the total number of elements, indicating the number of discrete elements considered in the finite element model. S represents the structural safety index, which represents the overall safety of the entire pile or structure at each point considered in the analysis. i is used to index or identify the variables of each individual element in the finite element analysis.

[0155] formula:

[0156]

[0157] Detailed explanation of the formula and the process of formula calculation and derivation:

[0158] Parameter definition and acquisition method:

[0159] F i is the stress intensity. In actual engineering, the stress at each point is measured by a stress testing instrument (such as a strain gauge). Assume that the stress intensity measured at the i-th point is 120 MPa.

[0160] M iis the elastic modulus of the material, which is a constant obtained through material testing. For ordinary concrete, its elastic modulus is usually taken as 30,000MPa.

[0161] T i is the theoretical stress threshold, which is determined according to the design specification or the maximum bearing capacity allowed by the material. For standard concrete structures, the theoretical stress threshold is assumed to be 150MPa.

[0162] n is the total number of elements, which indicates the number of measurement points included in the calculation. Assume there are 10 measurement points in total.

[0163] The calculation process of the formula is as follows:

[0164]

[0165] S=1897.33

[0166] The calculated S value is 1897.33, indicating that the structural safety index is 1897.33, which reflects the deviation between the stress intensity of the pile structure at the actual measuring point and the theoretical bearing capacity. This index shows that the structure has good safety performance under the current conditions, indicating that the current state of the structure is far below the risk threshold and is suitable for continued use or does not require emergency reinforcement measures.

[0167] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for constructing bored piles in karst development areas. It is characterized in that The following steps are involved: Based on the construction location information, collect electromagnetic wave data at multiple angles and depths in the target area, record rock layer, cave and crack data, and obtain geological data of the target area; Based on the geological data of the target area, a geological three-dimensional model of the target karst area is constructed to simulate the influence of karst, faults and soft soil layers on structural response and generate a mechanical response model; Based on the mechanical response model, the interaction between the injection material and the karst medium is analyzed, the chemical erosion and physical erosion effects are evaluated, and the environmental response simulation results are generated; Based on the environmental response simulation results, by analyzing the geological characteristics of the target area, considering geological stability and construction feasibility, calculating multiple drilling positions, and generating drilling position information; According to the drilling location information, according to the groundwater flow characteristics, rock stability and real-time geological changes in the target area, taking into account construction risks and efficiency, calculating the drilling path and construction sequence, and generating a construction path calculation result; Based on the calculation results of the construction path, electromagnetic wave data of the bored piles in the construction area are collected, and cracks, cavities, and foreign objects inside the pile body are identified by analyzing the changes in electromagnetic waves, the structural integrity of the bored piles is evaluated, and bored pile construction information is generated.

2. The method for constructing bored piles in karst development areas according to claim 1, It is characterized in that The geological data of the target area includes rock layer density information, cave location information, crack width and direction information; the geological three-dimensional model includes a three-dimensional model of the karst structure, fault location mapping parameters, and the thickness and distribution range information of the soft soil layer; the environmental response simulation results include dynamic simulation results of the interaction between the grouting material and the karst medium, depth analysis results of chemical erosion rate and physical erosion, and erosion area prediction results; the drilling location information includes drilling location coordinates, expected drilling depth, and surrounding geological stability assessment results; the construction path calculation results include drilling sequence information, construction risk assessment results, and a construction schedule; the cast-in-place pile construction information includes location and length information of cracks inside the pile body, size and location information of the voids, and type and distribution information of foreign matter.

3. The method for constructing bored piles in karst development areas according to claim 1, It is characterized in that Based on the construction location information, the electromagnetic wave data at multiple angles and depths of the target area are collected, and the rock layer, cave and crack data are recorded. The specific steps to obtain the geological data of the target area are as follows: Based on the construction location information, electromagnetic wave data on the surface and underground of the target construction area are collected through electromagnetic wave detection equipment to obtain an electromagnetic wave data set; Based on the electromagnetic wave data set, the influence of various geological forms on the electromagnetic wave data is evaluated, including the electromagnetic characteristics of rock layers, the signal reflection mode of caves, and the electromagnetic scattering effect of cracks, to obtain electromagnetic feature analysis results; Based on the electromagnetic characteristic analysis results, the geological characteristics of multiple locations in the target area are identified, the differences and continuity of the geological morphology in the karst development area in spatial distribution are evaluated, and the geological data of the target area are generated.

4. The method for constructing bored piles in karst development areas according to claim 1, It is characterized in that Based on the geological data of the target area, a geological three-dimensional model of the target karst area is constructed to simulate the influence of karst, faults and soft soil layers on the structural response. The steps of generating a mechanical response model are as follows: Based on the geological data of the target area, a three-dimensional model of the target karst area is established through geological morphological data of multiple locations, and the underground structure is simulated to generate a three-dimensional geological model; Based on the three-dimensional geological model, quantitative analysis is performed on the influence of karst, faults and soft soil layers, stress, strain and displacement in the model are calculated, model parameters are adjusted to match actual observation data, and mechanical behavior analysis results are generated; Based on the mechanical behavior analysis results, the influence of geological factors on the construction structure is evaluated, and the accuracy of the response simulation and simulation results is optimized by adjusting the model parameters to generate a mechanical response model.

5. The method for constructing bored piles in karst development areas according to claim 1, It is characterized in that Based on the mechanical response model, the interaction between the injection material and the karst medium is analyzed, the chemical erosion and physical erosion effects are evaluated, and the steps for generating the environmental response simulation results are as follows: Based on the mechanical response model, the fluid dynamics behavior between the injection material and the karst medium is simulated, the flow pattern and dynamic parameters of the fluid under geological pressure and velocity conditions are recorded, and the fluid dynamics behavior data is generated; Based on the fluid dynamic behavior data, evaluate the interaction between the injection material and the mineral components in the karst medium, including calcification and dissolution rates, and generate chemical analysis results; Based on the chemical action analysis results, the effects of chemical and physical erosion on rock structure are evaluated, the effects of various factors on the structural integrity of cast-in-place piles are analyzed, and environmental response simulation results are generated.

6. The method for constructing bored piles in karst development areas according to claim 1, It is characterized in that Based on the environmental response simulation results, by analyzing the geological characteristics of the target area, considering the geological stability and construction feasibility, calculating multiple drilling positions, and generating drilling position information are specifically performed as follows: Based on the environmental response simulation results, analyzing the distribution and hardness characteristics of rock types in the target area, recording stability parameters of multiple rock types, and generating rock stability data; Based on the rock stability data, analyze the fracture distribution and hydrogeological conditions in the karst development zone of the target area, evaluate the impact of various rock fracture densities and hydrological activities on the construction project, and generate fracture hydrological analysis results; Based on the fracture hydrological analysis results and in combination with geological stability information, multiple drilling locations are calculated by evaluating the feasibility of construction at multiple locations to generate drilling location information.

7. The method for constructing bored piles in karst development areas according to claim 6, It is characterized in that The decision tree algorithm, according to the formula Calculate multiple drilling positions to obtain a drilling position data set; Among them, P is a score used to quantify the suitability of the drilling location, S represents the fracture distribution index, which is used to quantify the extensiveness and concentrated areas of fractures, which critically affect the safety and stability of drilling, H represents the rock hardness index, which reflects the bearing capacity of the formation and the difficulty of drilling, R represents the hydrological activity index, which considers the potential erosion and impact of water flow on the construction area, D represents the geological stability score, which is the result of comprehensive geological data evaluation, and W represents the risk adjustment factor, which is used to adjust the geological stability score to reflect the construction risks under different geological conditions.

8. The method for constructing bored piles in karst development areas according to claim 1, It is characterized in that According to the drilling location information, the drilling path and construction sequence are calculated based on the groundwater flow characteristics, rock stability and real-time geological changes in the target area, taking into account construction risks and efficiency, and the steps of generating the construction path calculation result are specifically as follows: Based on the drilling location information, using geological and construction data, taking into account terrain obstacles in the target construction area, analyzing and calculating the construction paths between multiple drilling locations, and generating drilling path optimization results; Based on the drilling path optimization results, the construction risks of multiple drilling locations are evaluated according to the groundwater flow characteristics, rock formation stability and real-time geological changes in the target area, and construction risk assessment information is generated; Based on the construction risk assessment information, the construction difficulty and resource requirements of drilling holes in multiple locations are considered, the construction sequence of the target project is analyzed and calculated, the construction efficiency is optimized, and the construction path calculation results are generated.

9. The method for constructing bored piles in karst development areas according to claim 1, It is characterized in that Based on the calculation results of the construction path, the electromagnetic wave data of the bored piles in the construction area are collected, and the cracks, cavities and foreign objects inside the pile body are identified by analyzing the changes in the electromagnetic waves, and the structural integrity of the bored piles is evaluated. The specific steps of generating bored pile construction information are as follows: Based on the calculation result of the construction path, electromagnetic wave data of the cast-in-place pile body is collected by electromagnetic wave detection equipment, and electromagnetic wave changes are analyzed to generate electromagnetic wave data of the pile body; Analyze the electromagnetic wave data of the pile body, evaluate the internal structural abnormalities of the pile body, including cracks, voids, and foreign matter, by analyzing the signal changes of the electromagnetic waves in various media, and generate pile body defect analysis results; Based on the pile body defect analysis results, the integrity of the cast-in-place pile structure is analyzed, the pile body safety and construction quality are evaluated, and cast-in-place pile construction information is generated.

10. The method for constructing bored piles in karst development areas according to claim 1, It is characterized in that The finite element analysis method, according to the formula Calculate the pile structure safety index and obtain the cast-in-place pile structural safety score; Among them, F i Represents the stress intensity of the i-th element, indicating the actual stress magnitude that the element bears during actual loading or construction. i Represents the elastic modulus of the material, describing the material's ability to deform under force, T i It represents the theoretical stress threshold of the element, which refers to the maximum safety stress that the material or component can withstand under specific application conditions as specified in the design and safety standards. n represents the total number of elements, indicating the number of discrete elements considered in the finite element model. S represents the structural safety index, which represents the overall safety of the entire pile or structure at each point considered in the analysis. i is used to index or identify the variables of each individual element in the finite element analysis.

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