44 results about "Influence line" patented technology

The invention discloses a bridge structure monitoring method based on multi-source data and digital twinning and a related device, and relates to the technical field of bridge engineering.The method comprises the steps that an initial finite element model of a target bridge is constructed based on a design drawing and structural parameters of the target bridge, and the initial finite element model of the target bridge is constructed based on the initial finite element model and preset load conditions; calculating to obtain simulation mechanical response data of each grid node of the target bridge; based on the simulation mechanical response data and the obtained actually measured mechanical response data of each grid node of the target bridge, obtaining a corrected finite element model; inputting the obtained traffic load data passing through the target bridge into a digital twinborn calculation model constructed based on the corrected influence line data for numerical calculation to obtain an overall structure response cloud picture and a structure response-time curve of the key monitoring point, and fusing the overall structure response cloud picture and the structure response-time curve with the obtained three-dimensional visualization model to obtain a three-dimensional visualization model; and obtaining the structural state of the target bridge. According to the invention, accurate monitoring and real-time state evaluation of the bridge structure are realized.

The invention relates to the technical field of highway bridge safety monitoring, in particular to a bridge dynamic weighing algorithm based on Bayesian maximum posterior probability. Obtaining influence lines through a bridge calibration test, and calculating an influence line matrix, a mean value and a covariance; using a Moses algorithm to obtain the vehicle axle load as the axle load of the initial main cycle i = 0; initial axle load distribution is set, the covariance of load response is obtained through the influence line covariance, the measurement noise and the axle load of the main cycle, and an axle load mean vector and a stable value of the covariance are iterated together with the influence line matrix, the initial axle load distribution and the load response to serve as the axle load distribution of the main cycle; according to the axle load distribution, the influence line matrix, the load response and the covariance thereof, the posterior probability of the axle load is obtained, and the axle load when the probability is the maximum serves as the axle load corresponding to the (i + 1) th main cycle; and repeating until the axle load update difference value is smaller than the preset value, and outputting the axle load result, thereby solving the problem of low axle load identification precision of the existing bridge dynamic weighing system.

The invention discloses a bridge bearing capacity dynamic evaluation method based on multi-source monitoring data driving, and aims to solve the problem that the bearing evaluation precision is difficult to guarantee under a sparse sensing coverage condition. According to the method, through cross-modal attention alignment guided by event anchor points, mask codes influencing line and propagation time delay constraints and geometric position coding, Green function kernels and time-varying boundary flexibility latent variables are introduced into a physical constraint neural operator model, symplectic integral propulsion is adopted, and block shape-preserving interval estimation and order-preserving calibration weighted according to working conditions are adopted. According to the method, the full-bridge space-time response and the bearing utilization coefficient are calculated, the risk level and the load limiting suggestion are output, and the technical effects of reliability improvement, physical consistency and long-time energy stability evaluation under the complex working conditions and the low signal-to-noise ratio are achieved.

The invention discloses an existing concrete beam bridge crack diagnosis method based on an influence line sparse coefficient, which is characterized in that force method graph multiplication and a crack nonlinear damage function are substituted into an analytical solution for solving, and finite element simulation relates to respiration crack simulation. A nonlinear spring is adopted to simulate crack opening and perform grid division and encryption processing on the tip of the crack, bridge section rigidity change caused by the breathing crack is accurately simulated by constructing a crack rigidity damage function, and the model is introduced into an influence line analytical solution to obtain a nonlinear influence line of the cracked bridge. In combination with a sparse coefficient representation method, damage position and damage degree information is extracted from influence line data, and accurate positioning and quantitative evaluation of beam bridge section cracking are achieved; the method not only improves the accuracy and efficiency of damage identification, but also provides a reliable technical means for rapid detection and state evaluation of the existing beam bridge.

This invention discloses a method for assessing the load-bearing capacity of bridges under random traffic flow, belonging to the technical field of bridge load-bearing capacity assessment. This method improves the accuracy and efficiency of the assessment by extracting the bridge deflection influence line and calculating the compliance matrix through traffic flow statistics, Monte Carlo simulation, finite element analysis, and signal processing. Employing non-destructive testing technology, this method provides real-time health status of the bridge. By analyzing dynamic response data during heavy vehicle travel and combining it with the deflection influence line model, the method predicts the bridge's load-bearing limit and potential damage areas, providing a scientific basis for bridge safety assessment and maintenance. This invention is characterized by high efficiency, accuracy, and strong applicability, avoiding the problems of long testing times, traffic disruption, and large workload associated with traditional static load tests. It is suitable for the load-bearing capacity assessment and condition monitoring of small and medium-span bridges.

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 the technical field of highway bridge safety monitoring, and discloses a bridge dynamic weighing algorithm based on a regularization algorithm. According to the method, a penalty term is added into an error function to obtain an axle load calculation formula with a regularization matrix, and the regularization matrix is determined by an axle load covariance matrix and a load response covariance matrix. The method specifically comprises the steps of obtaining influence line distribution through a calibration test; giving an initial regularization matrix to obtain an initial axle weight; calculating a load response covariance matrix based on the influence line distribution, the initial axle load and the measurement noise, and iterating a stable axle load covariance matrix in combination with a preset initial axle load covariance matrix; generating a regularization matrix according to the load response covariance matrix and the updated axle load covariance matrix, and calculating a new axle load; and repeating the iteration process until the axle load update difference value is smaller than a preset value, and finally outputting an axle load result. According to the invention, the axle load identification precision of the bridge dynamic weighing system is effectively improved.

The application discloses a kind of bridge existing bearing capacity evaluation methods based on influence surface, comprising the following contents: inclination instrument is arranged in each monitoring point of the bridge surface to be measured;Distance measuring instrument is provided on loading vehicle, vehicle travels according to established route, and distance and inclination data are transmitted to control terminal by synchronous acquisition of distance measuring instrument and inclination instrument, control terminal calculates the displacement of each monitoring point, and vehicle position and bridge deflection information are displayed in real time;Position-deflection curve is determined by single vehicle driving measurement in each lane, and then the deflection influence line of each lane is calculated;Based on the deflection influence line of each lane, the deflection influence surface of the main girder of the bridge to be measured is synthesized;The load position and load value of the test condition to be measured are input into the deflection influence surface, and the deflection estimated value is obtained, which is compared with the allowable value of load specification, to evaluate the bearing capacity of the bridge.The deflection influence surface of the bridge is obtained by rapid load test, the existing bearing capacity of the bridge can be effectively judged, the test time is short, and the identification precision is high.

This application provides a bridge dynamic weighing algorithm based on maximum entropy regularization. The steps include: First, obtain the measured response M of the bridge when the vehicle crosses the bridge m and the influence line matrix IL; Second, use M m and IL to calculate the initial value A of the axle weight 0 , and define the initial value r of the regularization parameter i=1 , where i represents the number of times of the main loop; Third, enter the sub-loop, substitute r i and A 0 into the iterative formula of the non-linear conjugate gradient method for calculation until the axle weight converges, and the absolute value of the difference between the axle weights obtained from the previous and the current iterations is less than e, that is: |A i k - A i k‑1 | < e. Assign the axle weight A i k at the k-th iteration after the convergence of the sub-loop to A i ; Fourth, substitute A i into the Regińska formula to obtain the parameter V, and calculate the next regularization parameter r i+1 ; Fifth, judge whether i is greater than 10. If not, substitute r i=i+1 into step three, and repeat the calculation process of steps three to five; If so, draw the r-V curve; Sixth, observe whether there is a minimum value in the curve. If not, substitute r i=i+1 into step three, and repeat the calculation process of steps three to five; If there is, output the axle weight corresponding to the minimum value and use it as the axle weight identification result.

The present application relates to the technical field of bridge, especially to a bridge dynamic calibration coefficient calculation method, system and device based on space-time characteristics and a storage medium, the method comprises: obtaining a theoretical displacement change value caused by temperature according to main beam temperature time series data; correcting the main beam displacement time series response data by using the theoretical displacement change value to obtain the corrected main beam displacement measured response value; obtaining dynamic load time series distribution data and time-varying influence line, and obtaining a theoretical displacement value based on real operating conditions and bridge time-varying state; obtaining a time series sequence of calibration coefficients according to the corrected main beam displacement measured response value and the theoretical displacement value; dividing the time series sequence of calibration coefficients into windows and extracting statistical characteristics to obtain a representative calibration coefficient corresponding to each window, and fusing the representative calibration coefficient corresponding to each window to obtain a final comprehensive representative calibration coefficient.

This invention discloses a method, device, equipment, and storage medium for identifying abnormal states of light rail bridges. The method includes the following steps: for bridges with the same structural form and span arrangement, monitoring data of each measuring point on the bridge is acquired based on dynamic strain measuring points set at the same control section and spatial location on the bridge; based on the monitoring data, the dynamic strain response when the first train crosses the bridge is determined, and the dynamic strain influence line of the first train crossing the bridge is obtained through the dynamic strain response; based on the dynamic strain influence line, it is determined whether there is an abnormality in the light rail bridge. This application can effectively determine the abnormal state of light rail bridges when trains pass over them, solving the problem of abnormal diagnosis of light rail bridges in actual operation. At the same time, by judging the abnormal state of light rail bridges, the structural safety and health monitoring of light rail bridges is realized, ensuring the smooth operation of the line.

The application belongs to the technical field of engineering structure detection data analysis, and discloses a bridge modal parameter identification method and device combined with vehicle dynamic weighing. First, the influence line of the bridge is tested and obtained, and the bridge response under the vehicle excitation is tested and obtained. The weight of the vehicle is obtained by fitting the bridge response and the influence line, and then the input excitation of the bridge is obtained. Then, the frequency response function matrix of the bridge is obtained by the input excitation and the output response. The maximum singular value curve and the singular vector are obtained by singular value decomposition of the frequency response function matrix of the bridge. The frequency corresponding to the peak value of the curve is the natural frequency of the bridge, and the corresponding singular vector is the vibration mode of the bridge. The frequency corresponding to the half peak value of the curve is the half power point. The damping ratio of the bridge is obtained by bringing the half power point into the damping ratio calculation formula. In the process of bridge operating modal parameter identification, the vehicle excitation is solved for the identification of the bridge modal, and the identification accuracy of the bridge modal parameters is improved.

The invention belongs to the technical field of engineering structure detection data analysis, and discloses a bridge modal parameter identification method and device combined with vehicle dynamic weighing, and the method comprises the steps: firstly, testing to obtain an influence line of a bridge, testing to obtain a bridge response of the bridge under vehicle excitation, and obtaining the weight of a vehicle through the fitting of the bridge response and the influence line; and the input excitation of the bridge is obtained. A frequency response function matrix of the bridge is obtained through input excitation and output response, a maximum singular value curve and a singular vector are obtained through singular value decomposition of the frequency response function matrix of the bridge, the frequency corresponding to the peak value of the curve is the inherent frequency of the bridge, and the corresponding singular vector is the vibration mode of the bridge; the frequency corresponding to the half of the peak value of the curve is a half-power point, and the half-power point is substituted into a damping ratio calculation formula to obtain the damping ratio of the bridge. In the bridge operation modal parameter identification process, the problem of bridge modal identification by vehicle excitation is solved, and the bridge modal parameter identification precision is improved.

The application belongs to the field of bridge health monitoring and rapid detection, and discloses a bridge bending stiffness identification method based on multi-point deflection influence line input, and steps are as follows: firstly, a linear model for solving bending stiffness is established by using measured deflection influence lines at multiple positions of a bridge and linear elasticity theory; then, a redundant dictionary composed of multiple types of global basis functions is used for sparse representation of the bending stiffness distribution curve, and the bending stiffness reconstruction problem is converted into a sparse vector solving problem; finally, a sparse vector solution model with 1-norm regularization constraint is established, and the optimal bending stiffness distribution is obtained by solving the model. l The application can realize continuous bending stiffness curve solving by using multi-point measured deflection influence lines only, is suitable for stiffness evaluation of statically indeterminate in-service bridges such as continuous girder bridges, and has the advantages of strong applicability, high solving efficiency and strong robustness.

This invention discloses a constraint conversion device and a demonstration teaching aid for constructing the influence line of a multi-span statically determinate beam using the kinematic method. The device includes: a first connecting member for connecting and fixing a first rigid member; a second connecting member for connecting and fixing a second rigid member; several shear constraint conversion boxes of the same shape, height, and proportionally varying length and width, with adjacent shear constraint conversion boxes nested together to form a retractable shear constraint conversion box group; each shear constraint conversion box has a first pin hole, and after all shear constraint conversion boxes are nested and overlapped, all the first pin holes can be fixed by a first pin shaft; and a hinge constraint conversion track, one end of which is fixedly connected to the first connecting member, and the other end of which is hinged or fixedly connected to the shear constraint conversion box group. Advantages: This invention allows switching between shear constraints and hinge constraints; it allows students to assemble the required structural form and release the corresponding constraints, intuitively displaying the structural motion form and deepening students' understanding of the mechanism's motion mode under external forces.

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.

The application discloses a kind of based on vehicle movement loading small and medium-sized bridge bearing capacity evaluation method, belong to bridge bearing capacity evaluation technical field, comprising the following steps: S1: time history response acquisition;S2: time history response preprocessing;S3: influence line identification;S4: bearing capacity evaluation.The application utilizes single heavy vehicle movement loading to obtain bridge time history response;Then the structural dynamic component in bridge time history response is stripped using variational mode decomposition, and then a bridge influence line identification mathematical model is constructed according to sampling frequency and vehicle wheelbase, so as to eliminate the vehicle multi-axle effect in bridge time history response;And the stable solution of bridge influence line is solved using Tikhonov regularization method;Then by carrying out virtual loading on bridge influence line, reconstructing bridge virtual static response, and using traditional check coefficient method to evaluate bridge bearing capacity, the bridge bearing capacity evaluation rate is effectively improved, and the bridge structure damage caused by high loading efficiency is avoided.

The invention discloses a bridge dynamic weighing method and system based on influence lines and a storage medium, and relates to the technical field of bridge dynamic weighing, and the method comprises the steps: calibrating an axle coupling influence line of each lane through employing a Gaussian mixture weighing model based on a bridge span, determining the total number of Gaussian functions of a Gaussian mixture weighing model corresponding to the lane and parameters of the lane weighing model; acquiring actual passing vehicle information on the bridge; obtaining a passing bridge theoretical response; carrying out back propagation and loop iteration until the current error meets a preset error requirement; actual passing vehicle information including the total number of passing vehicles, the actual passing lane of each passing vehicle and the actual number of axles is obtained and processed, and then the axle weight, the axle distance and the calculated bridge span direction position of each axle at a certain moment can be obtained and calculated. According to the method provided by the invention, dynamic weighing can be carried out without predicting the vehicle position of the passing vehicle.

The present application belongs to the field of bridge and culvert engineering quality detection technology in transportation industry. Based on the method for quickly evaluating the bearing capacity of continuous beam by the area of bending moment influence line of arbitrary section, the method firstly adopts a vehicle with known axle load, axle distance and axle number as a loading vehicle, sets the weight P1 of rear axle I, the weight P2 of rear axle II and the weight P3 of rear axle III; then constructs the effect function of bending moment at arbitrary section x changing with the moving vehicle; finally, the integral value of the effect function of bending moment at section x changing with the moving vehicle under the same condition is taken as the numerator, and n is 0-1; the ratio of the integral value of the effect function of bending moment at section x changing with the moving vehicle under the same condition to the denominator is less than 1, which indicates that the bearing capacity of the bridge meets the requirements. The present application can improve the detection precision and efficiency of existing bridge load and reduce the cost of manpower and material resources.

The application discloses a method for regulating and controlling segmented length of outer concrete during a process of segmental construction of a concrete arch bridge into an arch state, and relates to the technical field of bridge engineering. The method comprises the following steps: constructing a multi-objective optimization function with the stress performance and linear shape of a main arch ring after bridge completion as targets, and determining design variables and constraint conditions; establishing and verifying a finite element model of the whole construction process of the concrete arch bridge; based on the finite element model, iteratively optimizing the design variables by using a non-dominated sorting genetic algorithm II (NSGA-II), and solving a Pareto front solution set; establishing an evaluation index, screening the Pareto front solution set, and determining an optimal regulation and control scheme; and verifying the optimal regulation and control scheme by a moving loading test based on the influence line superposition principle. The application can effectively reduce the stress and deformation of the main arch ring after bridge completion, improve the stress distribution state of the concrete, and improve the stress performance of the bridge based on the multi-objective optimization algorithm.

The invention discloses a bridge displacement influence line identification method based on an acceleration signal, and relates to the technical field of bridge monitoring, and the method comprises the steps: carrying out the zero mean processing and quadratic integration of a vertical original acceleration signal of a bridge, and obtaining an approximate dynamic displacement response; according to the span number, the bridge length of each span and the approximate dynamic displacement response, a piecewise linear function is constructed to correct the approximate dynamic displacement response, and an accurate dynamic displacement response is obtained; and filtering the accurate dynamic displacement response by using a self-adaptive polynomial weighted smoothing filter, extracting quasi-static displacement response, and dividing the quasi-static displacement response by the weight of the vehicle to obtain a displacement influence line. Acceleration signals are optimized through a signal processing technology, and in combination with an error correction algorithm, the accuracy of bridge displacement measurement can be remarkably improved. Meanwhile, the adaptive polynomial weighted smoothing filter can adaptively adjust the window size and the polynomial order according to the local change of the signal, so that the over-fitting or under-fitting phenomenon is avoided.

This invention provides a method, device, system, and storage medium for assessing the load-bearing capacity of bridges, relating to the field of bridge load-bearing capacity assessment technology. The method includes: acquiring structural response data of the target bridge from the moment a valid test vehicle crosses the bridge to the moment it exits; performing signal decomposition on the structural response data to obtain the quasi-static response of the target bridge based on the decomposition results; alternately inverting the influence line of the target bridge and the axle load of the valid test vehicle based on the quasi-static response to obtain the inverted influence line and the inverted axle load; calculating the fitted deflection value and fitted strain value of the target bridge based on the inverted influence line, the inverted axle load, and a preset loading scheme in the load test; calculating the deflection verification coefficient and the strain verification coefficient based on the fitted deflection value and the fitted strain value; and obtaining the load-bearing capacity assessment result of the target bridge based on the deflection verification coefficient and the strain verification coefficient. This invention enables automated and rapid assessment of bridge load-bearing capacity.

The invention provides a steel anchor box plate corrosion sensitivity and synergistic corrosion effect quantification method. The method comprises the steps that a cellular automaton model is adopted for simulation, and a geometric model of a corrosion plate is obtained; a random traffic flow load spectrum is generated based on MATLAB platform programming, and cable force time history data of the stay cable are obtained through an influence line dynamic loading technology; cable force time history data are imported into finite element software ABAQUS, fatigue life calculation and analysis of the steel anchor box are carried out in combination with fatigue analysis software FE-SAFE, and then the influence of plate corrosion on the overall fatigue performance of the anchor box is quantitatively evaluated. According to the invention, the simulation of a corrosion-load-structure response full-random process can be realized, and the nonlinear accelerated degradation effect of the multi-plate synergistic corrosion of the steel anchor box on the fatigue life is accurately quantified; the structural fatigue behavior under the combined action of corrosion damage and complex random load in an actual service environment can be simulated more truly, and the engineering credibility and predictive capacity of an evaluation result are remarkably improved.

The present application relates to the technical field of railway bridge design, and particularly relates to a method and device for fixed-length loading of live load of a large-span railway bridge, which comprises the following steps: loading a moving load track on the bridge by using a moving unit concentrated force method to obtain an influence line of a set parameter; dividing the fixed-length live load into loads of left-end uniform force, middle concentrated force and right-end uniform force; adjusting the setting position of the middle concentrated force end and the length of the left-end uniform force region at each setting position; obtaining the response value of the fixed-length live load corresponding to the setting position of the middle concentrated force end and the length of the left-end uniform force according to the influence line; and taking the most unfavorable loading form corresponding to the response value as a static load working condition to perform a most unfavorable effect nonlinear analysis on the bridge. The method can solve the problem in the prior art that the loading lengths of the left-end and right-end uniform forces are directly assumed to be equal, only an approximate solution can be obtained, and the most unfavorable effect value of the fixed-length live load obtained is inaccurate.

This invention relates to the field of bridge testing and inspection technology, specifically disclosing a test method for damage identification of precast assembled beam bridges based on strain curves. The method includes: arranging multiple strain test points on the precast assembled beam bridge to be tested; applying a moving load and collecting strain data from the strain sections; extracting the strain data from each strain section and performing noise reduction processing on the strain data to obtain the strain influence lines for each strain section; determining the longitudinal damage location: determining the longitudinal damage location based on the changes in the intersection positions of strain influence lines at different spans. This invention uses strain influence lines at different spans of the longitudinal beams of the precast assembled beam bridge to correct errors caused by residual strain influence and reduce noise in the test data, reducing errors caused by equipment and environmental factors. Changes in the intersection points of the strain influence lines enable longitudinal damage identification of the precast assembled beam bridge. The test is short, has minimal impact on bridge traffic, reduces test costs, and improves economic efficiency.

The application discloses a PC track beam influence line determination method and system and a storage medium. The method comprises the following steps: firstly, obtaining response data of a train passing through a PC track beam; then, determining a train position fitting model through linear fitting according to the collection time corresponding to a wave trough in the response data and train parameters; finally, solving the influence line based on the train position fitting model to obtain the PC track beam influence line. The PC track beam influence line determination method, system and storage medium are used for determining the vehicle position on the PC track beam by using the bridge response data, so that high-precision positioning devices and clock synchronization devices do not need to be additionally purchased, and the positioning and synchronization costs in the influence line determination process are reduced.

The present invention discloses a method and system for evaluating the life of tension and compression bearings of cable-stayed bridges under random traffic loads. The method belongs to the field of bridge engineering and structural health monitoring and includes: statistical analysis of traffic load data, establishment of a random traffic load model and generation of a load spectrum; correction of cable forces and modal frequencies based on bridge monitoring data, and construction of a refined multi-scale finite element model; application of unit fatigue vehicle loads to the model, acquisition of stress influence lines, calculation of stress amplitude, number of cycles, and average stress using the rainflow counting method, conversion to daily average equivalent stress amplitude and equivalent daily cycle number using the fatigue damage equivalence principle, and evaluation of the fatigue life of tension and compression bearings using the Miner criterion. The present invention solves the problem that existing technologies cannot accurately reflect the effects of three-way alternating stress on bolt fatigue failure, improves the life prediction accuracy of tension and compression bearings of cable-stayed bridges, can provide early warning of tension and compression bearing damage, and provides data support for the safe operation and maintenance of cable-stayed bridges.

The invention relates to the field of structural health monitoring, and discloses a multi-moving load identification method based on an influence line. Through calibration and comparison of bridge displacement response, high-precision inversion of an unknown moving load is realized. The method comprises the steps that firstly, a displacement sensor is arranged on a bridge, and the real-time displacement change of a structure in the vehicle passing process is obtained; then, a calibration vehicle with a known load passes through the bridge at a constant speed, displacement response of the calibration vehicle is collected, function fitting is carried out, and a calibration function with the load moving distance as an independent variable is obtained; on the basis, for a vehicle with an unknown load, the displacement response of the vehicle is also obtained, and functions D (x) and d (x) are established. And identifying the size of the unknown moving load by comparing the function relationship between the D (x) and the d (x). The method is clear in structure, simple to implement and high in anti-noise capability, can effectively improve the precision and stability of multi-load recognition, and has a good engineering application prospect.

This invention provides a bridge damage detection method and system based on integrated crash barriers, belonging to the field of bridge damage detection technology. It is applied to the left and right crash barriers of a bridge, connected by force transmission blocks and sliding plates. The method includes: applying a test load to the longitudinal loading points of the bridge main girder; installing a distance measuring instrument on the force transmission block to collect measured vertical displacement values ​​corresponding to the positions of each loading point; fitting and extracting the actual vertical displacement influence line function based on the measured vertical displacement values; obtaining the benchmark displacement data of the bridge in an undamaged state, and constructing an undamaged basis function through data fitting; calculating damage indicators based on the actual influence line function and the undamaged basis function. This invention enables the left and right crash barriers to share the load, save materials, adapt to settlement, and consume energy efficiently, and can complete the quantitative detection of main girder damage without interrupting traffic.