28 results about "Beam finite elements" patented technology

The invention relates to the technical field of bridge bearing capacity evaluation, in particular to a bridge bearing capacity accurate evaluation method, which comprises the following steps: acquiring stress data and deflection data of each position of a bridge under different static loads, and acquiring vibration data of each position of the bridge under the application of a dynamic load; according to the data distribution change and fluctuation degree of each position of the bridge under different static loads, a bridge stress change abnormal value and a bridge deflection data change abnormal value are obtained in combination with nonlinear change characteristics of the data, so that an abnormal coefficient of bridge stress deformation is obtained; the method comprises the following steps: acquiring significant values of abnormal vibration of each position under a dynamic load, further obtaining a comprehensive deviation coefficient of each position under the action of multiple loads, calculating a vulnerability degree value of each position of a bridge, adjusting a grid size in a bridge finite element model construction process, and counting bearing capacity of the bridge under different loads based on the bridge finite element model. The accuracy of the evaluation result of the bridge bearing capacity can be improved.

The invention provides a large-span suspension bridge buffeting analysis method and system based on digital twinning, and relates to the technical field of road and bridge safety, and the method comprises the steps: obtaining a bridge finite element model of a target large-span suspension bridge in a design stage, the fluctuating wind speed time history data, the acceleration data, the actually measured displacement response data and the actually measured acceleration response data are acquired on site; performing parameter optimization on the bridge finite element model according to the acceleration data to obtain structural parameters; performing parameter extraction according to the fluctuating wind speed time history data to obtain wind parameters; performing finite element analysis according to the actually measured displacement response data, the actually measured acceleration response data and the wind parameters to obtain aerodynamic parameters; power load parameters acting on the bridge are obtained through calculation according to the wind parameters and the aerodynamic parameters; and constructing the digital twin according to the dynamic load parameters and the structural parameters. According to the method, high-precision simulation and prediction of the buffeting response of the large-span suspension bridge in a real service environment are realized.

The application discloses an Abaqus parameterized modeling and analysis method for a corrugated steel web combined channel girder based on Excel, and comprises the following steps: (1) a user determines the TGCW size, material and finite element analysis type required by the user according to project data; (2) a program running environment is configured, a third-party library function xlrd2 is installed, and the parameter information obtained in the step (1) is filled into an Excel input table of the corrugated steel web combined channel girder finite element analysis parameters; (3) TGCW parameter information in an Excel file is read through a Python script file; (4) TGCW related model information is defined through the Python script; (5) the Python script is run on an Abaqus platform, a TGCW finite element model is generated, and simulation analysis corresponding to the input parameters is carried out. The application can complete the modeling work of a complex model without relying on third-party modeling software, can realize an automatic modeling process, and is convenient for realizing parameterized analysis on the corrugated steel web combined channel girder.

The invention discloses a bridge finite element real-time analysis method and system, and the method comprises the steps: constructing a finite element model of a structure, and dividing the finite element model into a plurality of finite element units through discretization processing; calculating an overall stiffness matrix K according to the established finite element model; in combination with the boundary condition of the structure, recalculating to obtain a processed total stiffness matrix K ', and carrying out serialization operation on the processed total stiffness matrix K '; selecting a position for storing the sparse matrix according to a specific computing environment; according to the load information acquired by the sensor, converting the load information into a corresponding load vector in the finite element model; and combining the cached total stiffness matrix K'with a load vector, solving node displacement and structural response, and transmitting a result to a post-processing module. According to the method, the required data are efficiently accessed according to different calculation requirements on the basis of a sparse matrix cache strategy, when the load changes, only the load vector needs to be recalculated and solved, the overall stiffness matrix does not need to be recalculated, and the calculation efficiency is improved.

The invention relates to an optimization method for a cast-in-place section support of a hybrid beam cable-stayed bridge. The optimization method comprises the following steps that S1, environment parameters needed by modeling, attribute parameters of a bridge and spatial position limiting parameters of the support are determined; s2, determining the overall arrangement of the support; s3, determining arrangement of a box girder inner mold and an inner mold support; s4, determining the arrangement of a box girder outer mold and longitudinal and transverse distribution girders; s5, constructing a single-beam finite element model to carry out bracket overall calculation; s6, determining a preliminary scheme of the support, and establishing a three-dimensional finite element model for mechanical calculation of the support; s7, establishing a support-girder finite element model for cooperative calculation; s8, carrying out support pile foundation design and settlement calculation; s9, the pre-lifting amount of the cast-in-place section support is calculated; and S10, carrying out cast-in-place section support structure design. Safety and stability of the support in the whole construction period of the cable-stayed bridge can be guaranteed.

This invention relates to a multi-mode vortex-induced vibration control method for long-span bridges based on multiple SATMDI (Self-Active Capacitive Tuned Mass Damper) dampers, belonging to the field of structural vibration control. The invention addresses the problem of insufficient optimization in existing semi-active controlled SATMDI settings. The method comprises the following steps: Step 1: Establishing a finite element model of the bridge and extracting modal information for each order; Step 2: Screening the bridge modes, retaining modes with natural frequencies lower than the highest vortex shedding frequency; Step 3: Determining the vortex-induced vibration amplitude limits [A] for each mode requiring control. n ], and then obtain the allowable value of the peak value of the dynamic amplification coefficient of each mode of the bridge; Step 4, divide the retained modes into G groups, and obtain the sum of the minimum additional mass required for each group of modes; Repeat step 4 P times, regrouping each time, and obtain P results; Step 5, take the grouping strategy with the minimum value among the P results as the optimal grouping strategy, and obtain the minimum additional mass required to control all modes and the corresponding optimal SATMDI deployment position.

The application discloses a kind of bridge crane stress history acquisition method and system, the method includes obtaining the characteristic data of crane actual working state under preset time;The hoisting load data of preset time is expanded by Latin hypercube sampling technique, obtain the hoisting load data of crane inspection cycle, the hoisting load data of inspection cycle is input into the pre-trained tentacle-least squares support vector machine prediction model, and the predicted working cycle number is obtained;The hoisting load data of inspection cycle and the predicted working cycle number are converted into the trolley wheel pressure of equal sample size;The finite element model of crane girder is established, and the trolley is simulated with random load at rated speed from the side span of girder to the other side span, after traversing all trolley wheel pressure load, the stress history of crane girder at any position in inspection cycle is obtained.The application provides high-precision stress characteristic data for crane structure fatigue life assessment.

The present application relates to the technical field of bridge health monitoring and detection, and discloses a prefabricated assembled beam bridge longitudinal damage rapid diagnosis method, which comprises the following steps: collecting actual structure parameters of a bridge, establishing a bridge finite element calculation model for calculating a theoretical strain influence line; arranging strain measuring points at the longitudinal midspan of the two outer side beams and the middle beam of the prefabricated assembled beam, and performing a pseudo-static loading test; extracting the strain of the beam bridge strain measuring points, fitting and drawing a strain influence line; calculating the total strain meters of the two outer side beam strain measuring points; calculating the total strain meter change amplitude ΔS of the two outer side beam measuring points; establishing a ΔS column chart of the two in the same coordinate axis, and comparing with a longitudinal damage qualitative diagnosis graph system to obtain a qualitative diagnosis result. The prefabricated assembled beam bridge longitudinal damage rapid diagnosis method has the advantages of short diagnosis time, no interruption of traffic, improved economy, realization of rapid comprehensive diagnosis of the prefabricated assembled beam bridge longitudinal damage, and improved diagnosis accuracy.

The invention relates to a twin thin-walled beam optimization method and device for a vehicle and electronic equipment, and the method comprises the steps: building a twin thin-walled beam multi-angle crashworthiness data set based on a pre-built twin thin-walled beam finite element model; based on geometric parameters and material parameters of the twin thin-walled beam, constructing a reduction design domain meeting multiple targets; a specific energy absorption polynomial agent model and a peak force polynomial agent model are constructed on the basis of a twin thin-walled beam multi-angle crashworthiness data set, and the specific energy absorption polynomial agent model and the peak force polynomial agent model are constructed on the basis of a reduced design domain. And a preset multi-target genetic algorithm-second generation non-dominant sorting genetic algorithm NSGA-II is utilized to perform optimization to obtain optimal parameters of the twin thin-walled beam, so that the twin thin-walled beam is optimized. Therefore, the problem that a plurality of optimization targets conflict in the design process of the thin-walled beam structure in related technologies is solved, the multi-angle crashworthiness design of the twin thin-walled beam for the vehicle is realized, and the efficiency of multi-target optimization design is effectively improved.

The present disclosure relates to a bridge sensor optimization layout and response reconstruction method, system and medium, relating to the field of bridges. The method comprises: establishing a finite element model of the bridge; deleting measurement points in the initial sensor layout scheme; calculating load transverse influence lines using the bridge finite element model, reconstructing strain response data of the deleted transverse strain measurement points; reconstructing displacement data of the deleted displacement measurement points and / or acceleration data of the acceleration measurement points based on the relationship between displacement and acceleration; reconstructing strain response data of the deleted longitudinal strain measurement points based on the relationship between strain and displacement, using sensor data of the retained longitudinal strain measurement points and using data of the longitudinal displacement measurement points; constructing the architecture of the BiLSTM neural network model; all sensor data and all reconstructed data are input into the network model, and the network model is used to predict the data of the deleted measurement points. The present disclosure realizes the optimization of the sensor layout while improving the reconstruction accuracy.

This invention discloses a method and system for calculating the time-varying reliability of cable corrosion fatigue in cable-stayed bridges. The method includes establishing and validating a finite element model of the cable-stayed bridge; simulating the time history of fluctuating wind speeds in the main girder and main tower using the harmonic synthesis method; obtaining the cable stress time history through buffeting analysis; establishing a probability model of equivalent stress amplitude and cycle number using the rainflow counting method and Miner's theory; constructing a probability model of the depth of dangerous pits and corrosion depth of steel wires under different corrosion degrees based on measured data; establishing a multi-stage series formula coupling pit evolution, pit-crack transformation, and crack propagation; constructing a limit state equation with a 2% wire breakage rate as a threshold; calculating the time-varying reliability of the cable under different wind speeds and corrosion degrees using random sampling; and statistically analyzing the mean and standard deviation of corrosion fatigue life. This invention accurately reflects the wind-corrosion coupling and multi-stage failure mechanism, is computationally reliable, and has strong versatility, making it suitable for safety assessment and life prediction of cables in various types of cable-stayed bridges.

The invention provides a bridge structure sunlight shadow recognition method, a bridge structure sunlight temperature effect calculation method and device and a storage medium, and the method comprises the steps: building a target bridge finite element model, and carrying out the mesh generation of the target bridge finite element model; copying the target bridge finite element model after mesh division to obtain a first copy model and a second copy model; keeping the grid precision of a first to-be-identified structure in the first copy model, simplifying all grids of a second to-be-identified structure in the first copy model into a whole unit, and performing sunlight shadow judgment on the first to-be-identified structure; keeping the grid precision of a second to-be-identified structure in the second copy model, simplifying all grids of a first to-be-identified structure in the second copy model into a whole unit, and performing sunlight shadow judgment on the second to-be-identified structure; and determining a sunlight unit and a shadow unit. By adopting the identification method provided by the invention, the sunlight shadow of the structure can be identified more accurately and quickly.

The invention discloses a monitoring data and natural language driven bridge finite element model rapid construction method, system and device and a storage medium, and belongs to the technical field of bridge models.The method comprises the following steps that a bridge initial finite element model is constructed based on Midas Civil NX and a natural language; optimized and corrected bridge finite element model parameters are obtained based on the bridge initial finite element model and the PSO optimization model architecture, the bridge initial finite element model is corrected, and a bridge reference finite element model capable of reflecting the real state of the structure is obtained; and importing the obtained bridge key monitoring data into the bridge reference finite element model in real time, calculating an accurate bridge structure response and verification coefficient, and carrying out rapid verification and visual display on the safety state of the bridge structure. According to the method, efficient construction of the bridge finite element model is achieved, the method is particularly suitable for large-quantity and wide-range bridge groups with similar structural forms, and technical support is provided for scheme design and safety inspection of a bridge monitoring system.

The application discloses a bridge finite element real-time analysis method and system, which comprises the following steps: constructing a finite element model of a structure, dividing the model into a plurality of finite element units through discretization processing; calculating a total stiffness matrix K according to the established finite element model; re-calculating a processed total stiffness matrix K' in combination with the boundary conditions of the structure, and performing a serialization operation on the processed total stiffness matrix K'; selecting a position for storing a sparse matrix according to a specific calculation environment; converting load information obtained by a sensor into a corresponding load vector in the finite element model according to the load information; combining the cached total stiffness matrix K' and the load vector, solving node displacement and structure response, and delivering the results to a post-processing module. The application is based on the strategy of sparse matrix caching, efficiently accesses required data according to different calculation requirements, and only needs to re-calculate the load vector and solve when the load changes, without the need to re-calculate the total stiffness matrix, thereby improving the calculation efficiency.

The present application relates to a kind of bridge structure load test method and system for evaluating bearing capacity, belong to bridge safety detection and evaluation technical field, solve the problem that current load test needs to close traffic or slow driving to cause high cost and difficult to realize.The present application includes determining each test measuring point of the bridge to be evaluated, collecting the dynamic strain measured data or dynamic deflection measured data of large transport vehicle at each test measuring point at each time;After filtering noise, corresponding dynamic strain baseline data or dynamic deflection baseline data is obtained;According to dynamic strain measured data or dynamic deflection measured data, and corresponding dynamic strain baseline data or dynamic deflection baseline data, the quasi-static strain or deflection measured value of each test measuring point is obtained;Based on the finite element mechanics model of the bridge to be evaluated, the strain or deflection calculation value of each test measuring point is calculated, and according to the quasi-static strain or deflection measured value of each test measuring point, the calibration coefficient of each test measuring point is calculated to evaluate bearing capacity.The present application realizes the real-time evaluation of bridge bearing capacity.

This invention discloses a physical-data fusion-based method for rapid stress spectrum modeling and fatigue life prediction of bridge cranes, belonging to the field of crane structure safety assessment technology. Addressing the problems of low efficiency in traditional finite element stress calculation, the lack of consideration for the influence of variable stress ratios in conventional crack propagation models, and unreasonable handling of multiple alternating loads in a single working cycle, this invention establishes a stress sample library by building a finite element model of the crane's main beam and uses a gradient boosting decision tree model to achieve rapid stress prediction at critical points. Based on measured load spectra, the maximum and minimum stress values ​​of a single cycle are extracted to generate a stress spectrum. The Walker formula is used to correct the crack propagation rate, and the life prediction is completed by combining a periodic sample cycle method. This invention improves the efficiency of stress spectrum acquisition, ensuring that the stress spectrum compilation closely reflects actual service conditions, while correcting the life prediction deviation caused by variable stress ratios. It can be used for fatigue safety assessment and life prediction of in-service bridge crane metal structures, demonstrating high engineering practicality.

The invention discloses a QZS three-axis ultralow-frequency vibration isolator based on a Fourier series beam. Firstly, the Fourier series beam which is more visual is put forward to serve as an integrated QZS flexible structure; secondly, proposing a joint parameter optimization model for establishing an evolutionary algorithm and a Fourier series beam finite element model; furthermore, two types of building blocks A and B are constructed based on the Fourier series beam, orthogonally stacked unit cells are formed, and the minimum-configuration QZS three-axis ultralow-frequency vibration isolator is achieved. The vibration isolator has the advantages of programmability, high integration level and miniaturization, and shows the application potential in three-dimensional vibration isolation.

The present application relates to a kind of frame truss riveting structure quick design method, comprising the following steps: (1) establishing standard multi-span beam finite element model, respectively to the combination of different longitudinal girders and cross frame is calculated with the way of finite element support coefficient c;(2) support coefficient c value under different frame truss combination is stored in database;(3) given a group of combination form frame truss riveting structure, corresponding support coefficient c value in database is called to calculate the axial compression bearing capacity of the given frame truss combination form riveting structure;(4) for a variety of possible frame truss combination form, iteration optimization is carried out, i.e. it is calculated using step (3), and the optimal frame truss combination form is obtained from the calculation result.

The invention relates to the technical field of bridge construction, in particular to a bridge component positioning method which comprises the following steps: establishing a bridge finite element model, and determining theoretical three-dimensional coordinates of an anchorage device and a cableway pipe and a theoretical arch axis of an arch rib; correcting the horizontal coordinates, the vertical coordinates and the vertical angles of the anchorage device and the cableway pipe according to the construction pre-camber, the beam body deformation and the sag of the suspender; based on the corrected coordinates and angles, a three-dimensional positioning method is adopted to complete installation and positioning of the beam guide pipe and the arch guide pipe; calculating axial deformation and vertical deformation of the arch rib in the construction stage through the finite element model, and setting an arch axis equation; according to the set arch axis equation, three-dimensional positioning and splicing of arch rib sections are completed; and the positioning precision of the anchorage device, the cableway pipe and the arch rib is monitored in real time and dynamically adjusted. According to the scheme, accurate positioning of bridge components is achieved, and bridge construction accuracy and structural safety are guaranteed.

The invention belongs to the technical field of bridge engineering, and discloses a large-span cable-stayed bridge damping cable damping optimization method, which specifically comprises the following steps of: 1, establishing a bridge finite element model considering the temperature related characteristics of a damper, and according to a bridge design drawing, constructing a bridge finite element model; structural analysis software is adopted to construct a three-dimensional finite element model comprising a main beam, a bridge tower, an inclined damping cable, a support and a foundation. The mechanical parameters of the damper are defined as temperature related variables, the double-characteristic temperature is determined in combination with bridge site long-term meteorological data, and the influence of the temperature on the performance of the damper is accurately represented in cooperation with a viscosity-temperature characteristic curve with high fitting precision; through standardized dynamic response analysis and numerical optimization under the working condition of double extreme temperatures, the obtained optimal parameters can meet the requirements of extreme environments in summer and winter at the same time, and the problem of seasonal performance failure caused by traditional fixed parameter design is thoroughly solved; and then all-weather stable work of the damper is ensured through full-temperature-range multi-node verification.

The application discloses a train loading method and device for calculating train bridge dynamic response, and relates to the technical field of bridge dynamic analysis. The method comprises the following steps: based on an established bridge finite element analysis model, setting a train load loading node interval, and forming a dynamic loading node sequence; a virtual beam unit is established between the dynamic loading node sequence, and the length of the virtual beam unit before and after each dynamic loading node is calculated; the time when the train head reaches each dynamic loading node is calculated; the equivalent node force of the train uniform load and the concentrated force is calculated, and the equivalent node force of the dynamic loading node is obtained; the equivalent node concentrated force loading time function is obtained; the input file of the finite element software is generated according to the equivalent node concentrated force loading time function corresponding to each dynamic loading node and the train head arrival time, and is led to the finite element software, so that the train dynamic load moving loading is realized. The application reduces the node loading data, and greatly shortens the calculation time.

A method, device, and equipment for monitoring the bridge condition during bridge construction are provided. The monitoring method includes: acquiring sensor monitoring datasets at different characteristic locations of the bridge during the current construction stage; preprocessing the sensor monitoring datasets to obtain a preprocessed dataset; extracting key feature data from the preprocessed dataset to obtain a feature dataset for the current construction stage; performing data fusion processing on the feature datasets to obtain a feature fusion dataset; inputting the fused strain data, stress data, strength data, and geometric alignment data from the feature fusion dataset into a pre-established overall bridge finite element model to obtain a first alignment dataset, wherein the first alignment dataset represents the set of alignment data at each location of the bridge during the current construction stage; obtaining an alignment matching degree set based on the first alignment dataset and a preset first alignment dataset; and determining a preset second alignment dataset for the next construction stage based on the alignment matching degree set.

The application discloses a large-span bridge pre-camber setting method, a vehicle-track bridge coupling dynamics model is constructed, then a plurality of pre-camber design curves with different amplitudes are set as input excitations of the model, each dynamics index is obtained through simulation calculation and analysis, a first pre-camber curve for offsetting train dynamic load is obtained, a bridge finite element model is established, a range and joint probability distribution of bridge temperature load are obtained, a temperature load combination working condition is determined according to the range of the temperature load, temperature-induced deformation is calculated through the combination working condition, and a second pre-camber curve for offsetting the temperature-induced deformation of the bridge is obtained, the bridge shrinkage and creep deformation amplitude within the service life of the bridge is calculated through the bridge finite element model, the third pre-camber curve for offsetting the shrinkage and creep deformation of the bridge is obtained according to the number of years tending to be constant, and the above pre-camber curves are superposed to obtain the final reasonable pre-camber, so that the train over-bridge dynamics performance of the high-speed train under long-term service condition is guaranteed.

The invention provides a bridge crack monitoring method and system based on artificial intelligence, and the method comprises the following steps: recognizing a principal stress region based on a bridge finite element model, so as to lay an orthogonal optical fiber grid; performing image acquisition on a region corresponding to the light intensity attenuation signal; performing crack segmentation on the acquired image based on an adaptive adversarial network, and generating a binary mask and connected domain coordinates; dividing the connected domain into infinitesimal grids based on the binary mask and the coordinates of the connected domain, and calculating the curvature radius and risk weight of each infinitesimal; and fusing the optical fiber strain data and the visual parameters to calculate a risk index so as to output an alarm signal. Regional images with stress changes are screened according to light intensity attenuation signals, environment robust crack segmentation is realized through an adaptive adversarial network, the problem of failure of a traditional visual algorithm in a complex environment is solved, and high-precision risk early warning is realized by fusing visual parameters and optical fiber strain data to output dynamic risk indexes.

The invention discloses a large-span bridge twinning model generation method based on shape-force two-stage matching, and relates to the technical field of digital twinning. Comprising the following steps: acquiring a bridge finite element model, acquiring geometrical shape information of a service bridge in a real shape through a long-span bridge geometrical shape reconstruction method fusing multi-dimensional feature constraints, and performing first-stage geometrical shape updating of the finite element model; on the basis of geometric morphology updating of the finite element model, a large-span bridge twinborn model updating strategy of static and dynamic target coordination optimal driving is established, mechanical parameter correction at the second stage of finite element model correction is achieved, and a large-span bridge twinborn model subjected to cross-scale composite correction is obtained. The bridge service performance can be accurately evaluated.

The invention provides a method and a system for simulating tamping and tamping stable operation of a ballast track on a kilometer bridge. The method comprises the following steps: firstly, constructing a multi-body dynamic model of key operation devices such as a tamping device, a tamping device and a stabilizing device, and constructing a multi-layer heterogeneous ballast track model and a kilometer large-span bridge finite element flexible body model; a coupling boundary is arranged between a discrete domain and a continuous domain, interactive transmission of load data and displacement data is carried out, and dynamic collaborative simulation calculation is carried out on a ballast track model, a tamping-tamping-stabilizing multi-body dynamic model and a kilometer-level large-span bridge finite element flexible body model. Constructing a multi-scale coupling model of the large tamping stabilization operation vehicle-ballast track-large-span bridge system; and carrying out reliability verification on the model. And finally, performing ballast track tamping stabilization operation simulation through the verified model. According to the method and the system provided by the invention, high-fidelity simulation of a ballast track tamping stable operation process on a kilometer-level large-span bridge under complex operation conditions can be realized.

The application relates to the technical field of bridge bearing capacity evaluation, in particular to a precise evaluation method for bridge bearing capacity, which comprises the following steps: stress data and deflection data of each position of a bridge under different static loads are obtained, and vibration data of each position of the bridge under applied dynamic loads are obtained; according to the data distribution change and fluctuation degree of each position of the bridge under different static loads, and in combination with the nonlinear change characteristics of the data, abnormal values of stress change of the bridge and abnormal values of deflection data change of the bridge are obtained, so as to obtain abnormal coefficients of stress deformation of the bridge; the significant values of vibration abnormality of each position under the dynamic loads are obtained, and then the comprehensive deviation coefficients of each position under the action of multiple loads are obtained, so as to calculate the vulnerability values of each position of the bridge; the grid size in the construction process of the finite element model of the bridge is adjusted; and the bearing capacity of the bridge under different loads is statistically obtained based on the finite element model of the bridge. The application can improve the accuracy of the evaluation result of the bridge bearing capacity.

The application discloses a kind of three-dimensional suspended tunnel structure refinement analysis method, system and medium based on load mapping.The method, on the one hand, considering that suspended tunnel is slender structure, can simplify the calculation of hydrodynamic load using Morison equation;On the other hand, the internal force obtained by simulating the suspended tunnel beam model is dynamically mapped to a series of nodes of the three-dimensional suspended tunnel shell finite element model at each time step, realizing the dynamic coupling between the deformation of the suspended tunnel and the load applied in the time domain.The present application inversely calculates the resultant force of complex dynamic load through the response of beam finite element model, and maps the resultant force to the nodal force of each node on the shell finite element model through the load mapping method, greatly reducing the calculation time and improving the calculation efficiency.