226 results about "Civil/structural engineers" patented technology

The invention discloses a concrete crack three-dimensional reconstruction method and system based on multi-modal fusion and a medium, and relates to the technical field of structural engineering detection, and the method comprises the following steps: obtaining a structural image frame sequence and a structural laser radar point cloud frame sequence of a target structure; obtaining a crack mask image frame after crack segmentation; an integral structure de-noised point cloud picture is obtained; obtaining a visible point cloud coloring point cloud map and a visible point cloud semantic segmentation point cloud map; obtaining an overall three-dimensional coloring point cloud map and an overall three-dimensional semantic segmentation point cloud map; obtaining an overall three-dimensional point cloud marking map; and performing three-dimensional attribute measurement on the crack based on the three-dimensional point cloud marking map to obtain three-dimensional geometric information of the crack. According to the method provided by the invention, a multi-frame and multi-modal fused crack structure reconstruction framework is designed, the method can adapt to crack detection of various three-dimensional structures, and simultaneous detection of crack width information, crack position and crack trend information can be realized based on an overall three-dimensional point cloud marking map.

The invention relates to a machine learning-based scouring damage bridge buckling load prediction method and system, and belongs to the technical field of machine learning and structural engineering. The prediction method comprises the steps of obtaining original data, preprocessing the original data, constructing a LightGBM machine learning model, and evaluating and verifying the constructed model by adopting multiple performance evaluation indexes. According to the method, key variables such as bridge structure parameters and foundation soil physical property indexes are comprehensively considered, a large sample database covering a large number of scouring combinations is constructed, and the critical buckling load of the structure is accurately calculated as an output target by using a pier-bearing platform-pile structure system buckling analysis method after scouring damage based on an energy method. A multivariable nonlinear mapping relation is established in combination with an ensemble learning algorithm, traditional complex calculation is replaced, and the method has good engineering adaptability and universality and can be suitable for rapid prediction of the buckling bearing capacity under different parameter bridges, different foundation forms and complex scouring conditions.

The invention relates to the technical field of structural engineering, and provides a surface crack fatigue propagation morphology and life prediction method based on machine learning, which comprises the following steps: establishing a finite element simulation model containing a surface crack, calculating a stress intensity factor of the front edge of the surface crack, and generating a finite element simulation data set; performing dimensionless processing on parameters in the simulation data set to generate a machine learning data set; optimizing the back propagation neural network through a hybrid optimization algorithm, and constructing a surface crack stress intensity factor prediction model; the surface crack stress intensity factor prediction model is combined with a fatigue crack growth rate formula to cyclically predict the surface crack growth morphology and the service life of the load bearing structure; establishing a visual interaction interface of parameter input and output and image output based on the surface crack stress intensity factor prediction model and the fatigue crack growth rate formula; a user can quickly predict the propagation morphology of the surface crack and calculate the service life without mathematical analysis and code writing.

The invention provides a structural engineering bearing capacity field detection method, and belongs to the technical field of structural engineering detection.The structural engineering bearing capacity field detection method comprises the steps that a multi-axial acceleration sensor and a strain gauge array are installed on the surface of a to-be-detected structural member, and an intelligent loading device is adopted to apply incremental loads; a mobile data acquisition terminal is utilized to acquire vibration response data and strain response data in real time, modal parameters are extracted based on a frequency domain analysis method to establish a load-modal parameter relation curve, the bearing capacity of a component is analyzed and calculated, a graph theory shortest path algorithm is adopted to optimize load transmission path analysis, and the load transmission path analysis is optimized. The bearing performance of the component is accurately evaluated through the structural response prediction model based on the Transform architecture, the technical integration of multi-dimensional detection data fusion, intelligent loading control, quantitative bearing capacity evaluation and accurate performance prediction is realized, and the technical problem of insufficient detection precision of the bearing capacity of the structural component is solved.

A digital model of a structure comprises a physical BIM model and one or more analysis models for structural engineering, wherein a piece of the structure may have one digital representation, called a physical part, in the physical BIM model, and one digital representation, called an analysis part, in one of the analysis models, but there may be analysis parts without corresponding physical parts, and vice versa. Association information associating an analysis part with a corresponding physical part allows a soft relation between the parts, the soft relation being usable for indicating that a part's corresponding part has changed without changing the part correspondingly.

The invention discloses a mixed analytic-numerical method for solving soil-structure nonlinear interaction, and belongs to the technical field of geotechnical engineering and structural engineering. According to the method, a soil-structure nonlinear resistance curve is subjected to quasi-linearization, and numerical iteration is carried out by utilizing a matrix analytic solution of a multi-section elastic foundation beam theory, so that the internal force and displacement response of the structure is solved. The hybrid analytic-numerical method for solving soil-structure nonlinear interaction provided by the invention can truly simulate a mechanical behavior path of nonlinear resistance without depending on a traditional difference format. According to the method, absolute stability is kept in the solving process, better precision is achieved under the same calculation efficiency, meanwhile, precision improvement is based on fine adjustment of a small number of key variables, and the transparency and interpretability of the algorithm are guaranteed.

A method and system provide the ability to optimize a structural engineering design. A dataset is synthesized by acquiring a structural skeleton design of an entire building. The skeleton defines locations and connectivities of bars that represent columns or beams. The skeleton design is represented as a structural graph with each bar represented as a graph node and edges connecting graph nodes. Structural simulation results are computed for the synthetic dataset based on the structural graph, various loads, and a structural analysis. A simulation model and a size optimization model are trained based on the structural simulation results with the size optimization model determining cross-section sizes for the bars to satisfy a building mass objective, building constraints, and output from the simulation model. The structural engineering design is output from the size optimization model.

The invention belongs to the field of structural engineering, and particularly relates to a concrete compressive strength calculation method considering a strain rate effect and a size effect. The concrete compressive strength formula considering the size effect and the strain rate effect at the same time is deduced from the size effect formula and the strain rate effect formula of the concrete compressive strength. The formula comprises a constant term, a strain rate effect term, a size effect term and an interaction term. The constant item reflects the static strength of the concrete cubic test piece, the strain rate effect item reflects the strength improvement caused by strain rate increase, the size effect item reflects the strength reduction effect caused by test piece size increase, and the interaction item reflects the strain rate effect increase caused by the size increase and the size effect reduction caused by the strain rate increase. And finally, fitting all test data by adopting a multiple regression method to obtain various parameters of the concrete compressive strength. The formula fitting effect is good, the regression residual error is small, and the adaptability of the calculation method is verified.

The present invention relates to a method and system for predicting the buckling load of scour-damaged bridges based on machine learning, and belongs to the field of machine learning and structural engineering technology. The prediction method includes: raw data acquisition, raw data preprocessing, construction of a LightGBM machine learning model, and evaluation and verification of the constructed model using a variety of performance evaluation indicators. The present invention comprehensively considers key variables such as bridge structural parameters and foundation soil physical properties, constructs a large sample database covering a large number of scour combinations, and utilizes an energy-based buckling analysis method for the pier-cap-pile structure system after scour damage to accurately calculate the critical buckling load of the structure as the output target. Combined with an integrated learning algorithm, a multivariate nonlinear mapping relationship is established to replace traditional complex calculations. It has good engineering adaptability and universality, and can be applied to rapid prediction of buckling bearing capacity under different parameter bridges, different foundation forms and complex scour conditions.

The invention relates to the technical field of structural engineering, in particular to a multi-stage self-resetting friction damping connecting device for prefabricated wallboard connection, which comprises a bottom plate, a limiting plate, a disc spring and a bolt connecting piece, and when no external load acts, the bottom plate, the limiting plate and the disc spring are completely independent; when the external load effect is small, the friction piece and the limiting plate rotate, the disc spring deforms, and energy is consumed through friction force generated between the friction piece and the limiting plate; when the external load effect is large, the screw rod of the bolt of the bolt connecting piece and the bottom plate generate plastic deformation to consume energy; and when the external load disappears, the disc spring releases elastic force to extrude the limiting plate, so that the bottom plate is reset. The device has the advantages that the disc springs have elasticity, the self-recovery performance of the device is improved, and damage to the structure can be effectively reduced by combining energy consumption and the self-recovery performance under the small earthquake condition, so that the anti-seismic performance is improved.

The invention relates to the technical field of structural engineering, and provides a surface crack stress intensity factor prediction method and device based on machine learning, and the method comprises the steps: building a finite element simulation model containing a surface crack, calculating the stress intensity factor of the front edge of the surface crack, verifying through an empirical formula, and generating a finite element simulation data set; performing dimensionless processing on the size of the surface crack, the size of the load bearing structure and the stress intensity factor of the front edge of the surface crack in the finite element simulation data set to generate a machine learning data set; optimizing the back propagation neural network through a hybrid optimization algorithm, and constructing a stress intensity factor prediction model based on machine learning; adjusting hyper-parameters of the neural network, and verifying a fitting effect of the stress intensity factor prediction model based on machine learning; based on the stress intensity factor prediction model, establishing a visual interaction interface for related parameter input, image output, prediction result output and comparison result output; while the calculation efficiency is maintained, the calculation precision and the application range are improved.

The invention relates to the technical field of structural engineering safety monitoring, in particular to a fire resistance real-time evaluation system and method based on a steel structure, and the method comprises the steps: collecting the surface radiation energy of the steel structure through a distributed thermal infrared imager array, and constructing a millimeter-level precision three-dimensional temperature field distribution diagram in combination with an environment temperature compensation algorithm; inputting the temperature field into the phase change correction model, and dynamically calculating a yield strength attenuation coefficient and an elastic modulus reduction coefficient; constructing a thermal-mechanical coupling nonlinear finite element model based on the degradation parameters, iteratively solving the displacement and stress response of the structure under the fire load action by adopting an arc length method, and extracting a buckling critical load spectrum; and according to the ratio of the real-time fire load to the critical load, a fire-resistant safety level signal is generated, and a graded early warning instruction is triggered. According to the invention, thermal-force response whole-process monitoring and intelligent early warning of the steel structure in a fire disaster can be realized, and the system has high spatial resolution, high physical coupling and multi-level response capability.

The invention relates to the technical field of structural engineering, in particular to a digital intelligent analysis system and method for a profile steel structure, and the system comprises an information collection module, a data preprocessing module, a stress analysis module, a fatigue analysis module, a residual life prediction module and an optimization design module. Wherein the information acquisition module is used for acquiring physical parameters of a profile steel structure; the data preprocessing module is used for preprocessing the physical parameters; the stress analysis module is used for performing stress analysis on the profile steel structure by using a finite element method; the fatigue analysis module is used for carrying out fatigue analysis by adopting a mineralogy method and determining the fatigue life of the profile steel structure under the action of multiple loading; and the optimization design module is used for providing optimization design suggestions of the profile steel structure. By integrating real-time data acquisition, accurate stress analysis, fatigue damage evaluation and residual life prediction, the structural safety is improved, the design scheme is optimized, and the service life of the structure is prolonged.

The invention provides a seismic isolation structure AMD control system based on the seismic energy storage principle, and relates to the technical field of structural engineering and damping control. The bottom of the building dissipates energy through the shock insulation support and the hydraulic inerter damper, earthquake input is converted into gravitational potential energy, mechanical energy and electric energy, and the energy storage module supplies energy to the active tuned mass damper arranged on the top of the upper structure. The system monitors structural response in real time through the acceleration sensor and the force sensor, the AMD intelligent control unit calculates and outputs control force capable of reducing upper vibration and generating reverse overturning bending moment, and therefore structural vibration is restrained and the shock insulation support is prevented from being pulled under the strong shock working condition, and the overall anti-seismic performance of the shock insulation structure is remarkably improved.

The invention belongs to the technical field of structural engineering, and relates to a design method of an FRP (Fiber Reinforced Plastic)-stainless steel mixed reinforcement seawater and sea sand concrete beam, which comprises the following steps of: inputting a design bending moment, and primarily selecting a section size and a material attribute; judging whether the area # imgabs0 # of the stainless steel bars in the pressed area is known or not, if the area # imgabs0 # is known, calculating # imgabs1 #, and if the area # imgabs1 # is unknown, calculating # imgabs2 # and # imgabs3 #; 4 # imgabs4 # and 5 # imgabs5 # are selected, and 6 # imgabs6 # and 7 # imgabs7 # are ensured; verifying whether the failure mode meets suitable rib failure or not, whether the flexural capacity meets # imgabs8 # or not and whether the ductility meets standard requirements or not, and ensuring that the area ratio is within a reasonable range; and finally, a more reasonable reinforcement area is obtained, and a result is output. According to the invention, the FRP rib is not used as a pressed rib, so that the stainless steel rib is configured in a pressed area, and a design method suitable for the form is provided, so that not only can the problem of corrosion of the steel bar in a marine service environment be effectively solved, but also relatively high flexural capacity and ductility can be ensured.

The embodiment of the invention provides a method and device for determining the ultimate bearing capacity of a damaged concrete roof panel and a processor, and belongs to the technical field of structural engineering safety evaluation. The method comprises the steps that at least one damage feature corresponding to a target concrete roof panel after damage is obtained; acquiring the corresponding ultimate bearing capacity and at least one inherent attribute of the target concrete roof panel when the target concrete roof panel is not damaged; substituting at least one damage characteristic corresponding to the target concrete roof panel after damage and the corresponding ultimate bearing capacity and at least one inherent attribute without damage into a corresponding prediction model, and determining the corresponding ultimate bearing capacity of the target concrete roof panel after damage; wherein the damage characteristics comprise the crack width, the crack length, the exposed length of a main rib steel bar and the stripping area of a concrete protection layer; the inherent attribute comprises the plate length.

The present invention discloses a method, device and medium for evaluating the importance of plane frame structure members and joints, which relates to the field of structural engineering. Among them, the importance coefficient of a joint is determined based on the comprehensive stiffness coefficient of the joint, and then the energy distribution coefficient of a member is calculated by using the structural energy flow network. The importance coefficient of the joint is distributed to the member by using the energy distribution coefficient of the member to obtain the importance coefficient of each member. At the same time, when calculating the structural energy flow network diagram, it can be divided into the intact elastic state of the structure and the damaged elastoplastic state of the structure, and the importance distribution of members and joints in the two states of the structure can be calculated respectively. The method of the present invention can efficiently and reasonably quantify and evaluate the importance of members and joints in the intact elastic state and the damaged elastoplastic state of the plane frame structure, making up for the deficiencies of the existing methods for evaluating the importance of members and joints, such as unreasonable evaluation of the damage state, large computational amount and low evaluation efficiency.

The present application relates to the technical field of structural engineering and discloses a limited-slippage connecting structure and a construction method of the connecting structure. The limited-slippage connecting structure comprises a prefabricated plate, a concrete plate, a welding nail and a flexible sleeve. The concrete plate is arranged on the prefabricated plate, the welding nail is located in the concrete plate, the welding nail comprises a nail column and a nail head arranged at one end of the nail column, the other end of the nail column is connected with the prefabricated plate, and the flexible sleeve is sleeved on the nail column. The limited-slippage connecting structure can provide a proper slippage amount, effectively reduce the tensile stress of the concrete plate, and improve the long-term performance and durability of the concrete plate. At the same time, the limited-slippage connecting structure also has an anti-lifting effect to resist the separation and lifting of the concrete plate, reduce the sudden increase of the partial segment shear force caused by the excessive release of the combined effect, and improve the stress state of the transition section concrete plate.

The invention provides a test device and a test method for whole-process fixed-proportion multi-axis loading, and belongs to the technical field of structural engineering tests, and the test device comprises a counter-force frame, an actuator and a load distribution mechanism; the load distribution mechanism adopts a rigid distribution body with a first stage and a second stage connected in series, and each distribution body is provided with a load input point and two load output points; the actuator is hinged with an input point of the primary rigid distribution body, and the output of the actuator is respectively transmitted to the secondary rigid distribution body and a plurality of loading points of a test piece to be tested through the first to fourth connecting rod groups, so that the load input by the single actuator is distributed to different positions of the test piece according to a set proportion. According to the invention, the load proportion of the multi-axis rod system node test piece in the whole process of elasticity, plasticity and damage can be stably maintained, so that a load-deformation whole-process curve and a failure mode under the action of a fixed-proportion multi-axis load can be completely obtained, and a reliable test means is provided for researching the bearing performance of the multi-axis rod system node.

The application discloses a concrete connecting structure and a construction method thereof, relates to the field of structural engineering, and aims to solve the problem of high maintenance difficulty of a reinforced concrete beam and a reinforced concrete structure connected through a hinged mode. The concrete connecting structure comprises a support, a beam and a connecting joint. The concrete support of the support and the concrete beam of the beam are distributed at intervals along a first straight line direction. One end of each node longitudinal reinforcement of the connecting joint is anchored and connected with the concrete support, and the other end of each node longitudinal reinforcement is anchored and connected with the concrete beam. A concrete connecting piece is filled between the concrete support and the concrete beam along the first straight line direction and connects the concrete support and the concrete beam. The node longitudinal reinforcement between the concrete support and the concrete beam is located in the concrete connecting piece, and the linear rigidity of the connecting joint is smaller than that of the beam. The concrete connecting structure is used for connecting the support and the beam.

The invention provides a load test-oriented road box culvert multi-scale finite element simulation method, and relates to the technical field of structural engineering and finite element analys.The load test is simulated by establishing a three-dimensional geometric model of a box culvert to determine a key stress area, and a concrete-steel bar full-scale model is constructed; relative displacement changes of concrete and reinforcing steel bars under different loads are simulated, a material strength degradation empirical formula is established, a local fine model is constructed in a key area, a polynomial coupling degradation relation model is used for correction, then a maximum stress surface is determined, and a safety index is defined by combining a principal stress value of the maximum stress surface and the corrected material strength. And the failure probability is calculated through Monte Carlo simulation, so that the safety index is dynamically adjusted, and the load test requirement is met. According to the method, dynamic evaluation and optimization of the safety index of the road box culvert are realized by building the concrete-reinforcement model and analyzing environmental degradation.

The invention relates to the technical field of structural engineering, and discloses a flat plate load experiment supporting unit and supporting structure and a using method, the flat plate load experiment supporting unit comprises a supporting column and inclined rods, two ends of each inclined rod are provided with elbows, a plurality of inclined rods form a group, the inclined rods in the same group are arranged in a crossed mode, and the elbows of the same inclined rod penetrate through holes in a first groove and a second groove. Therefore, the first supporting piece and the second supporting piece are supported in an auxiliary mode through the inclined rods. During use, firstly, proper holes are selected according to field working conditions and proper height intervals, the distance between the bottom face of the first supporting piece and the top face of the second supporting piece is determined, then the inclined rods are arranged in a mode that every two inclined rods form a group, and the inclined rods in the same group are arranged in a crossed mode. And the elbows at the two ends are respectively inserted into the corresponding holes in the first groove and the second groove, so that the technical problems of tedious disassembly and assembly and increased measurement error caused by overweight and overlarge volume of a flat plate test supporting structure in the prior art are solved.

The present invention relates to a method and system for calculating the bearing capacity of a steel pipe parallel insert plate circumferential stiffening rib joint, belonging to the technical field of structural engineering. The method first converts the cross-section of the circumferential stiffening plate into a simply supported beam model of a T-shaped cross-section under the assumption of elastic-plasticity of the joint steel, and calculates the bearing capacity of the joint considering the influence of the ratio of the width of the stiffening rib to the diameter of the main pipe according to different formulas P 1. Then, calculate the bearing capacity of the joint considering the buckling of the stiffening rib itself according to the formula P 2. Finally, compare P 1 with P 2 to calculate the maximum bending moment value of the bearing capacity of the joint M max . By comparing the results calculated by the present invention with the test results and finite element calculation results of joints with corresponding dimensional parameters, it is found that it can meet the design requirements of steel pipe joints with parallel insert plates and circumferential stiffening ribs, provide a reliable reference for joint design in practical engineering, and is conducive to the popularization and application of steel pipe parallel insert plate circumferential stiffening rib joints.

The application belongs to the technical field of structural engineering, in particular to a fast-installed fabricated concrete structure beam-column joint and a construction method thereof, which comprises a stand column, a connecting block is fixedly installed on one side of the stand column, a steel column is fixedly installed at the top of the connecting block, a cross beam is installed on one side of the steel column, a steel ring is fixedly installed on the side of the cross beam close to the steel column, a correction assembly is arranged at the top of the cross beam, and a fixing assembly is arranged on the side of the cross beam away from the steel column. When the component positioning is performed, the correction assembly and the fixing assembly are used to correct the position of the cross beam, the cross beam is moved downward by the crane, the component positioning is completed, the problem that the crane needs to repeatedly correct the position when the prefabricated beam is hoisted to the design position by the hoisting machinery is avoided, the construction operation is not complicated, the efficiency is low, the correction of the position of the cross beam is more convenient and fast, and the correction of the position of the cross beam is more accurate.

The utility model discloses an anti-collapse connecting node based on a self-resetting modular steel structure, which relates to the technical field of structural engineering and comprises a cross-shaped connecting plate arranged at a central connecting point of four modular container units, and modular connecting components are arranged in four separation corners of the cross-shaped connecting plate. Each modular connecting assembly comprises a module column set and a module beam set, and the module beam sets and the module column sets are fixedly connected. The anti-collapse connecting node based on the self-resetting modularized steel structure is simple in structure, has a self-resetting function, can effectively buffer external load and damage, and remarkably improves the anti-collapse performance of a modularized building.

This invention provides a prototype pipe pile shaking table test system for simulating the effects of foundation and superstructure, belonging to the fields of structural engineering, earthquake engineering, and foundation engineering. It includes a shaking table, a prototype pipe pile specimen horizontally arranged on the shaking table surface, a foundation action simulation component, a pile top axial compression simulation component, a pile cap simulation component, and a superstructure dynamic simulation component. The foundation action simulation component is fixed to the shaking table surface and covers the outside of the prototype pipe pile specimen. The pile top axial compression simulation component penetrates the inside of the prototype pipe pile specimen and extends to the outside of the pile bottom. The pile cap simulation component is connected to the top of the prototype pipe pile specimen, and the superstructure dynamic simulation component is positioned above the pile cap simulation component. This invention, using the above-mentioned test system, solves the problems of existing prototype pipe pile shaking table tests, such as large space requirements, high cost of foundation simulation, difficulty in loading real superstructures, inconvenient adjustment of working conditions, difficulty in comprehensively simulating pile-soil-structure interactions, and inability to accurately measure dynamic changes in pile axial force.

The application discloses a buried column foot and a construction method thereof, and belongs to the technical field of structural engineering; the technical problem that the reliable connection of steel pipe columns or steel pipe concrete columns with various cross sections and steel bars with any angle cannot be ensured during the construction process of a foundation bottom plate is solved. The buried column foot comprises a column foot and a universal connecting device; the column foot comprises a column foot bottom plate and a column body; the column body is connected to the upper end surface of the column foot bottom plate; the universal connecting device is connected to the column body; the universal connecting device comprises a horizontal connecting unit and a vertical connecting unit; the normal line of the vertical connecting unit outer vertical surface is consistent with the axis direction of the connected steel bar. The application ensures the reliability of the connection of steel pipe columns or steel pipe concrete columns with various cross sections and steel bars with any angle, avoids the damage and stress concentration of components caused by on-site hole opening, and makes the engineering structural system safe, stable and reliable.

The invention relates to the field of building materials and structural engineering, in particular to an analysis method of a composite interface cohesive mechanical behavior. The method for analyzing the cohesive mechanical behavior of the composite interface comprises the following steps: forming the composite interface; respectively applying a tensile load and an alternating electric field in the axial direction and the transverse direction of the modified carbon fiber; establishing a trilinear bond slip constitutive model; measuring an interface impedance phase angle in real time, and calculating an interface damage index; and correcting the trilinear bond slip constitutive model by using the damage index, and analyzing the composite interface cohesive mechanical behavior. According to the method, the nano SiO2 is successfully deposited on the surface of the carbon fiber, synchronous acquisition of interface slippage, strain and impedance spectrum under multi-coupling stress is also realized, and a synergistic effect mechanism of multiple fields to interface damage is conveniently disclosed.

The invention relates to the technical field of structural engineering optimization design and intelligent model selection, in particular to a structured generative adversarial network-based pipe truss structural design and model selection method, which comprises the following steps of: obtaining pipe truss load data and corresponding structural design schemes under different load conditions; respectively coding the load data and the design scheme to obtain a multi-dimensional dynamic load feature vector and graph structure information; inputting the two schemes into a generator, and generating a design scheme and a model selection scheme by taking the minimum steel use amount as a target under the constraint of physical information; discriminating the generation scheme and the real scheme through a discriminator, calculating an adversarial loss, and alternately training the generator and the discriminator until convergence; and finally, inputting the preset load and the structure design scheme into a convergence generator, and outputting an optimal scheme. According to the method, the end-to-end mapping from the dynamic load to the optimal design and model selection scheme is realized, the design efficiency is remarkably improved, and the structural lightweight is realized while the engineering reliability is ensured.

The invention relates to the technical field of structural engineering, in particular to a wind power tower concentricity control method and system. The method comprises the following steps: acquiring installation reference data of a wind power tower; determining the offset of the circle center of the ring piece according to the installation reference data of the wind power tower, and obtaining the offset data of the ring piece; concentricity detection is carried out based on the ring piece offset data, and concentricity initial data is generated; performing deviation analysis according to the concentricity initial data to obtain deviation data; identifying a deviation abnormal ring sheet based on the deviation data, and obtaining abnormal ring sheet data; performing ring opening deformation detection according to the abnormal ring piece data to obtain ring opening deformation data; and performing stability analysis according to the ring opening deformation data to obtain stability data. Based on the structure engineering technology, the installation precision and the concentricity control rate of the wind power tower drum are improved.