142 results about "Bridge vibration" patented technology

The invention discloses a large-span bridge vibration response prediction method based on data driving, and relates to the technical field of bridge vibration response prediction, and the method comprises the following steps: arranging a plurality of sensors at a plurality of key structure parts of a bridge, collecting vibration response data of the bridge during operation in real time based on an initial sampling frequency set based on the inherent frequency of the bridge structure; performing frequency domain analysis on the collected vibration response data, extracting a main excitation frequency component under the current working condition, and constructing a current excitation frequency spectrum; the method comprises the following steps: calling structural modal parameters obtained in a design stage, a static load test or a modal test of a bridge, extracting the natural vibration frequency of each order of structure, and constructing a bridge inherent frequency feature library; according to the method, the resonance state is dynamically identified through frequency domain analysis and the fuzzy risk index, the sampling frequency is intelligently adjusted, high-frequency response accurate capture and resource efficiency optimization are realized, and the sensitivity, the real-time performance and the safety of a bridge health monitoring system are remarkably improved.

The invention provides a bridge structure damage detection method based on image processing and CNN-LSTM, relates to the field of graphic image processing, and solves the problems that bridge vibration monitoring in the prior art is time-consuming, labor-consuming, high in cost and limited in precision, and adopts the technical scheme that the method comprises the steps of obtaining a recorded vibration video of a to-be-detected bridge structure; extracting the vibration video frame by frame to obtain bridge image data; detecting angular points by using a Harris algorithm, screening image data, and calculating vertical displacement of each feature point one by one; using a Lucas-Kanade optical flow algorithm to calculate the motion vectors of the feature angular points of the adjacent frame images; calculating the actual vibration displacement of the bridge; and carrying out standardization processing on the actual vibration displacement to obtain a two-dimensional matrix, inputting the two-dimensional matrix into the trained CNN-LSTM model, and outputting a final identification result of each type of damage. According to the scheme of the invention, high-precision bridge vibration displacement can be calculated, and efficient, accurate and high-precision bridge damage detection can be realized through the CNN-LSTM damage identification model.

The invention discloses an intelligent controllable road bridge vibration detection method based on magnetorheological fluid and a damping device, and belongs to the technical field of bridge engineering structure health monitoring and vibration control, and the method comprises the steps: calculating a comprehensive vibration strength index through multi-source signal fusion and adaptive Kalman filtering, and estimating the bridge speed; the damping force is mapped through the pre-calibration database, and a damper state verification mechanism is introduced; a gain self-adaptive ceiling algorithm is combined with a fuzzy PID control force algorithm for tracking to realize accurate control; finally, the health state of the system is evaluated through performance degradation indexes of temperature compensation, corresponding devices are integrated with a sensing network, a control unit and a distributed acquisition architecture, and the problems that a traditional system is single in state sensing, fixed in control strategy, lack of a self-diagnosis function, complex in engineering wiring and the like are solved. The comprehensive solution integrating intelligent monitoring, self-adaptive control and health self-diagnosis is realized, and the reliability, adaptability and maintainability of the bridge damping system are remarkably improved.

The invention provides a bridge stay cable video multi-target identification tracking and vibration extraction method based on an unmanned aerial vehicle. The method comprises the following steps: 1, constructing a bridge stay cable refined inclined slender target detection model based on a YOLOv11 model; 2, providing a multi-target tracking algorithm fusing the inclined slender target detection model and a StrongSORT algorithm; step 3, improving a displacement extraction method combining SIFT / ORB feature point matching and a sub-pixel refinement technology; 4, designing an unmanned aerial vehicle motion correction algorithm based on variational mode decomposition and time-frequency domain combined screening; and 5, constructing a joint working modal analysis algorithm for realizing combination of a natural excitation technology and a random subspace recognition algorithm. According to the method, high-precision extraction of the vibration signals of the stay cable and identification of modal parameters of the stay cable are realized, and technical support is provided for health monitoring of the large-span cable-stayed bridge.

The invention relates to a self-adaptive force output and energy consumption bridge vibration and vibration control inerter tuning device, and belongs to the technical field of vibration control. Comprising a roll shaft support, a spring rod, a main inerter element, a box chamber main body, a secondary inertia flywheel, a flow guide pipe, a transmission connecting rod and a flow baffle, the main inerter element penetrates through and is arranged in the box chamber main body, the outer end of the main inerter element is connected with the spring rod, the spring rod is connected with the roll shaft support, and the roll shaft support is respectively fixed with the bottom surface of a main beam and the top of a bridge pier; in addition, the flow guide pipe is arranged in the box chamber body, a flow baffle and a transmission connecting rod are further arranged in the flow guide pipe, and the transmission connecting rod is further connected with a secondary inertia flywheel. The damping device is achieved through a hydraulic mechanism, and the damping device with the self-adaptive inerter coefficient is formed through linkage of the inerter devices in the main box chamber and the auxiliary box chamber, so that the purposes of changing the inerter coefficient in real time and damping are achieved. The shock resistance, the transmission efficiency, the energy consumption effect, the structural rigidity and the stability of a vibration reduction system can be improved.

The invention discloses a driving risk assessment method based on a coupled vibration model, and the method comprises the steps: S1, obtaining a vehicle dynamic parameter and a geometric dimension parameter, and building a vehicle dynamic model based on the vehicle dynamic parameter and the geometric dimension parameter by employing finite element analysis software or directly calculating a dynamic differential equation set; s2, acquiring bridge vibration excitation, roughness excitation and crosswind excitation; s3, inputting the bridge vibration excitation, the roughness excitation and the crosswind excitation into the vehicle model for coupled vibration analysis, and obtaining vehicle vibration response data; and S4, based on the vehicle vibration response data, obtaining a driving safety index and a comfort index, and performing risk assessment according to preset threshold values of safety and comfort. According to the method, multi-dimensional factors such as the wind environment, the vehicle dynamic response, the bridge structure vibration characteristic and the driving comfort degree are considered, and a high-precision and high-reliability risk assessment basis can be provided for a bridge operation unit.

The invention discloses a lightweight spliced bridge vibration monitoring system for cooperative work performance intelligent perception, and belongs to the technical field of bridge structure health monitoring, and the lightweight spliced bridge vibration monitoring system comprises a lightweight targeted sensing subsystem which comprises a plurality of perception assemblies arranged in a targeted manner; the intelligent edge acquisition and transmission subsystem has an independent addressing function and a time synchronization function and is used for preprocessing and lightweight processing; the cloud edge collaborative storage management subsystem performs hierarchical storage, security control and efficient retrieval on the data to form monitoring data; and the cooperative performance perception early warning subsystem realizes state evaluation and graded early warning of the cooperative work performance of the spliced bridge through multi-index fusion. By adopting the lightweight spliced bridge vibration monitoring system for cooperative work performance intelligent perception, the problems of insufficient lightweight and targeting performance, low data processing, transmission and storage efficiency, and inaccurate cooperative performance evaluation, damage positioning and early warning of traditional spliced bridge vibration monitoring are solved.

The invention relates to the technical field of bridge vibration reduction, in particular to a double-spring frequency conversion lever tuned mass damper device and a regulation and control method. The double-spring frequency conversion lever tuned mass damper device comprises a base, a lever, a mass block, a first spring and a second spring. Wherein the base is used for being connected with a to-be-damped structure; the middle of the lever is rotationally connected with the base; the mass block is arranged on the lever and located on one side of the base. The first spring and the second spring are located on the two sides of the base respectively, connected with the lever or abut against the lever and used for balancing the gravity of the mass block, and the first spring is located between the mass block and the base. The problems that in the prior art, when the spring end stress and the mass block end stress are amplified in a lever proportion, the pin shaft stress is too large, damping is too large, debugging is difficult, the pin shaft and a lever need to be thickened or made of special alloy, the manufacturing cost is increased, and potential safety hazards are possibly caused by material fatigue are solved.

The invention belongs to the technical field of vibration control, and discloses a tuned mass damping device for controlling low-frequency vertical bending vortex vibration of a large-span bridge, which consists of a fixed pulley, a mass block, a high-strength light force transmission cable, a spring, a hanging ring and a damper. Fixed pulleys and mass blocks are arranged at the positive and negative maximum displacement positions of a longitudinal bridge direction mode of a main beam respectively, a suspension system is formed by a full-length force transmission cable, and the gravity of the two mass blocks is basically balanced; the mass block is connected through the spring and is close to the bridge vibration control target frequency. When the bridge vibrates, the two mass blocks generate inertia forces which are opposite in direction but overlapped with each other, the driving system and the bridge form resonance, and therefore bridge vibration is effectively restrained. The gravity of the mass block can be self-balanced, the strength and the number of the springs are greatly reduced compared with those of a traditional TMD, any low-frequency tuning can be conducted in a vertical limited space, and the engineering cost is remarkably reduced. The device can be used for controlling vertical bending and torsional vibration of various engineering structures; the damper is replaced by an actuator, so that active control can be realized or the damper can be used as a structural excitation device.

A bridge vortex vibration detection method based on IMU and GNSS fusion positioning includes: first, collecting inertial measurement unit data, inputting it into a prediction module and calculating a double integral to generate a temporary displacement; then, performing bridge vortex-induced vibration (VIV) detection, and determining the occurrence of VIV by identifying harmonic motion and amplitude detection; if it is determined that there is a possibility of VIV vibration, the update module starts the GNSS module controller in the GNSS-RTK to activate the GNSS receiver and obtain GNSS-RTK data and multipath data; finally, after the update module receives the GNSS-RTK data and GNSS data quality, the GNSS and IMU data are fused through a Kalman filter; wherein the fused data is temporarily cached in the temporary displacement, realizing real-time monitoring of bridge vibration and VIV, and calibrating it when necessary to ensure the accuracy and reliability of the data. The present invention achieves a stable VIV detection rate while maintaining low power consumption, providing comprehensive protection for the safety and stability of the bridge structure.

The invention relates to the technical field of vibration reduction and isolation devices, in particular to bridge vibration reduction equipment and a bridge vibration reduction optimization method and system. The bridge vibration reduction equipment comprises a friction pendulum support used for being installed between a main beam and a bridge pier; the damper is used for being installed between the main beam and the bridge pier; the damper is configured in the mode that when the relative displacement speed between the main beam and the bridge pier is smaller than a preset threshold value, the damper is kept in a dormant state and does not provide damping force; and when the relative displacement speed between the main beam and the bridge pier is larger than a preset threshold value, the damper enters an activated state to generate damping force between the main beam and the bridge pier until the relative displacement speed between the main beam and the bridge pier is smaller than the preset threshold value. The damper is arranged between the main beam and the bridge pier, so that damping force is generated when the bridge and the bridge pier have sudden displacement change, the stick-slip phenomenon of the bridge friction pendulum support is prevented, frequent stick-slip acceleration of support abrasion is avoided, and the service life of the friction pendulum support is prolonged.

The invention discloses a bridge damage detection method and system, and the method comprises the steps: collecting a bridge vibration signal through an acceleration sensor, carrying out the band-pass filtering preprocessing, converting a time domain signal into a frequency domain vibration signal through fast Fourier transform, and extracting a feature frequency through gradient change detection and threshold screening; a pairing difference value sequence of a monitoring characteristic frequency and a healthy baseline frequency is constructed, and a pairing sample T test is applied to perform statistical significance analysis on a difference value, so that the abnormal frequency change caused by structural rigidity degradation is effectively identified. According to the method, complex modal analysis is replaced by simplified frequency domain features, environmental interference influences are eliminated in combination with a pairing inspection mechanism, the micro-damage detection sensitivity and the false alarm resistance are remarkably improved, and the method is suitable for engineering scenes of long-term bridge monitoring and rapid damage screening.

The embodiment of the invention discloses a vibration control method and system for a steel-concrete combined box girder bridge, and the method comprises the steps: carrying out the vehicle-bridge coupling vibration analysis through building a space finite element model which accurately considers the interface slippage and shear hysteresis effect; an initial optimal parameter group of the multi-tuned mass damper is optimized and determined based on an analysis result, and installation tuning is carried out; in the operation stage of the bridge, vibration is monitored in real time through the sensor system, parameters of the damper are dynamically adjusted by the controller according to the deviation between measured data and a target value, and self-adaptive control is achieved. Thus, high-precision simulation, optimization design and intelligent control are combined, the problem that the control effect is poor due to model simplification and fixed parameters in a traditional method is solved, and vibration suppression accuracy and environmental adaptability are remarkably improved.

The invention provides a bridge vibration displacement detection method and system based on image enhancement and space-time tracking, and relates to the technical field of bridge detection and computer vision, and the method comprises the steps: obtaining a video image frame sequence of a bridge structure, carrying out the cooperative processing of image frames through employing an ACAE adaptive image enhancement algorithm, and obtaining an enhanced reconstructed image; inputting the reconstructed image into an AHSD-Net detection model, introducing a depth separable convolution module into a backbone network of the AHSD-Net detection model, performing spatial aggregation of preliminary features in a neck network by combining a dynamic upsampling mechanism, and finally outputting to obtain a target position detection result; based on a cascaded ST-Refine Track strategy, density denoising and position correction of a space dimension, cross-frame association of a time sequence dimension and adaptive smoothing processing of a state dimension are sequentially executed on a target position detection result, and a continuous and stable bridge vibration displacement curve is obtained. According to the invention, the displacement measurement precision and reliability are improved.

The invention discloses an axle coupling vibration response prediction method based on PIKAN, and the method comprises the following steps: carrying out the discretization of the time-space domain of a bridge and a vehicle according to the structure of the bridge and the running speed of the vehicle on a bridge floor; constructing an axle coupling control equation according to a discrete result; selecting proper internal and external univariate functions, and respectively constructing a KAN1 module used for bridge vertical displacement response prediction and a KAN2 module used for vehicle vertical displacement response prediction; and constructing a residual loss function based on an axle coupling control equation, conditional constraints and real observation data to train and optimize the KAN1 module and the KAN2 module. The method has the beneficial effects that the method provided by the invention has a relatively high calculation rate, has relatively good calculation precision on the premise of considering the calculation efficiency, and can be used as a substitute model for axle coupling finite element numerical simulation. And the bridge vibration response of a heavy-load vehicle not getting on the bridge can be calculated in real time, and the safety risk of the bridge structure is rapidly evaluated.

The invention discloses a bridge damage assessment method based on acceleration spectrum analysis after an axle impact event. According to the method, based on long-term vibration monitoring data of the bridge and real-time data during axle collision, the maximum impact force borne by the bridge during collision is calculated, the maximum impact force calculated through the two methods is compared, the fitting degree is analyzed, and therefore a bridge damage state evaluation model is constructed, and basic bridge damage evaluation indexes are established; and the damage degree of the impacted bridge can be quickly evaluated in real time. By establishing the bridge damage state evaluation model, the real-time damage condition of the prestressed concrete bridge can be evaluated, and the damage degree of the bridge after being impacted can be quickly judged.

The invention relates to a balance type inerter tuned mass damper and a control frequency adjusting method thereof, and belongs to the field of bridge vibration damping, the balance type inerter tuned mass damper comprises a first TMD, a second TMD and a third TMD, one end of the first TMD, one end of the second TMD and the other end of the second TMD are connected with a main beam, and the other end of the second TMD and the other end of the third TMD are connected with the same horizontal beam. The first TMD, the second TMD and the third TMD respectively comprise a first inerter, a second inerter and a third inerter; the first TMD further comprises a connecting plate parallel to the horizontal beam, and the connecting plate is connected with the horizontal beam through a vertical shaft hinge. Through coupling of a vertical system and a torsion system, the balance type inerter tuned mass damper can control vertical bending vibration and torsion vibration at the same time, and the problem that a traditional tuned mass damper is single in control mode is solved; by introducing the inerter, the static elongation of the spring under the action of movable mass gravity is reduced, and the problem that the static elongation is too large when a traditional tuned mass damper controls low-frequency vibration of a large-span bridge is solved.

The invention provides a road bridge displacement monitoring method and system based on the Internet of Things, and relates to the technical field of the Internet of Things, and the method comprises the steps: obtaining an electrical vibration signal generated by a road bridge, forming an original vibration data set, packaging the original vibration data set, obtaining a packaged data package, carrying out the integrity verification, and obtaining a verified data package; according to a pre-stored bridge vibration measurement benchmark database, noise reduction and time sequence alignment processing are carried out on the verified electrical vibration signals in the verified data packet, a vibration sequence is generated, then the displacement trend is analyzed, a displacement trend data set is obtained, feature parameters are extracted, candidate displacement modes are extracted from historical displacement records according to the feature parameters, and the candidate displacement modes are stored in the bridge vibration measurement benchmark database. Generating a pattern recognition result; and comparing the displacement change parameter of the result with the vibration baseline range parameter list, and generating a structure safety early warning instruction containing an abnormal position and an abnormal degree, thereby realizing real-time and accurate monitoring and abnormal early warning of the road and bridge displacement.

The invention discloses a dynamic evaluation method for physical constitutive and reliability of bridge vibration along a time axis, and relates to the technical field of dynamic evaluation of bridge reliability along the time axis, and the method comprises the steps: building a loss function of a physical information driving model through a vibration equation of a bridge and initial conditions and boundary conditions of the vibration equation of the bridge; a feasible region of a sample point is divided into a plurality of feasible region units to obtain a training sample of a physical information driving model, after the physical information driving model is trained, the amplitude on a bridge is predicted, and a system performance function is established to obtain the dynamic failure probability of the bridge along a time axis. According to the method, the amplitude of the bridge is predicted by using a physical information driving model, the problem that the traditional reliability dynamic evaluation along the time axis needs to depend on a large amount of simulation calculation to obtain samples is solved, and the calculation cost is effectively reduced. By adopting a dynamic resampling method, higher training speed and higher performance response calculation precision can be obtained.

The application relates to the technical field of bridge vibration control, in particular to a bridge excitation and damping integrated device, a bridge and a laying method. The bridge excitation and damping integrated device comprises a mass block, a spring assembly, an actuator and two groups of lever assemblies. The middle part of the mass block is provided with a mounting hole, and a flywheel is arranged on the mass block. The spring assembly is arranged below the mass block and connected with the mass block, and the other end is connected with a structure to be damped. The actuator is arranged in the range of the mounting hole. The two groups of lever assemblies are respectively connected with the mass blocks on the two sides of the mounting hole through power arm ends, and the resistance arm ends are connected with the end parts of the telescopic rods of the actuator. When the telescopic rods of the actuator are telescopically extended or retracted, the mass blocks are driven to move up and down through the lever assemblies. The problem that the damping effect is only predicted through numerical simulation or simplified model test in the prior art and it is difficult to adjust parameters after installation can be solved. In addition, the nesting layout of the actuator and the mass block can reduce the requirement for the installation space by using the lever displacement amplification principle.

This invention discloses a safety mechanism for a steel frame bridge connection device, including a traction cable, a damping assembly, and accessory supports. The traction cable is vertically installed on the bridge body. The damping assembly consists of an elastic sleeve and a rigid sleeve. The elastic sleeve has circumferentially spaced damping cavities filled with a fluid medium on its wall. The rigid sleeve has an annular cavity connected to each damping cavity via a bypass hole. A retractable and controllable plunger is installed within the annular cavity. This invention can dynamically adjust the damping and damping force by pressurizing or depressurizing the fluid through the expansion and contraction of the plunger according to the bridge's vibration state, achieving adaptive matching of damping parameters. This solves the problem that existing passive devices cannot adaptively adjust, effectively coping with large-amplitude, wide-frequency, and high-frequency vibrations, avoiding resonance and damping failure, and significantly improving the damping effect, stability, and protection life of the bridge connection structure.

The application discloses an analysis method for key local vibration of fluid-solid coupling bridges based on a substructure method, and relates to the technical field of bridge vibration analysis, and comprises the following steps: dividing a response key area in a bridge structure into substructures, performing static condensation, and obtaining a condensed substructure model; establishing a whole bridge-wave coupling model, and adopting a dynamic explicit solving strategy based on a coupling Euler-Lagrange method; independently solving the substructures by using a dynamic implicit method; coupling the substructures to the whole model by an interface coordination condition, and jointly calculating the whole explicit model and the local implicit model. The analysis method adopts an explicit method to process a strong nonlinear fluid-solid coupling process at a whole level, and establishes a fine substructure model through Guyan static condensation at a local area, so that the analysis precision is effectively improved.

The invention belongs to the technical field of bridge vibration reduction, and discloses a TMD parameter design method for modal dense bridge multi-modal vortex vibration control. Modal analysis is carried out on the target bridge, and modal frequency, vibration mode and modal mass where vortex vibration possibly occurs are extracted; then based on a modal shape amplitude threshold, screening significant extreme points of each order of modal, calculating the number of the significant extreme points, and determining the priority of TMD design according to the number from small to large; for a mode with the number of extreme points being 1, the TMD is installed at the unique position; for a mode with the number of extreme points exceeding 1, the TMD mass is split and arranged at symmetrical positions meeting the mode decoupling condition, and therefore mode coupling caused by improper installation positions is avoided. And finally, determining the frequency ratio and the damping ratio of each TMD based on a Den Hartog empirical formula. The method does not need a complex optimization algorithm, is simple in design process, and is suitable for engineering practice; and modal coupling can be effectively inhibited, and the multi-modal vortex vibration control efficiency is improved.

The utility model discloses bridge bearing capacity nondestructive testing device belongs to bridge bearing capacity detection technical field, and its technical key points include clamping subassembly, exciter subassembly, limiting component and hoist subassembly. The utility model, when the bearing capacity of bridge is detected, in order to avoid damaging bridge during detection, therefore can first place the piece and connect on bridge guardrail, at this time through hoist subassembly can move installation spare to bridge side end, and through the clamping of two clamping plates, can make installation spare can stably set up in bridge side end, at this time through limiting component can be fixed to the position of two clamping plates, thereby avoid installation spare to fall off, after can through single heavy vehicle and travel at different speeds and inspire bridge vibration, and through exciter subassembly vibration data collection, detection, thereby can detect the bearing capacity of bridge.

The utility model discloses a bridge vibration monitoring device, which relates to the technical field of bridge equipment, and comprises a fixed rod vertically and fixedly connected to a bridge, and a plurality of clamping grooves are formed in the periphery of the fixed rod; the sliding sleeve is slidably connected to the fixed rod in a suspended manner; the limiting check block comprises a clamping block, the clamping block is horizontally and elastically clamped with the clamping grooves to fix the height position, the clamping block moves between the different clamping grooves, and the limiting check block is located above the sliding sleeve and is pushed by the sliding sleeve to move. The bridge vibration monitoring device can adapt to old bridges, mechanically and visually monitors bridge vibration, avoids electric connection, and improves the adaptability and practicability of the device.

In order to overcome the problem that the current technology is difficult to estimate and continuously correct the bridge twin model by obtaining a series of test and test data, the application provides a bridge twin dynamic model Fourier modeling method based on test data, which is only related to the parameters of the bridge according to the system matrix related to all nodes of the bridge and the observation coefficient matrix related to all nodes, and the first continuous test process of the bridge does not change greatly, and the first comprehensive detection of the bridge twin dynamic mathematical model and the subsequent each time of the bridge twin dynamic mathematical model comprehensive correction process is relatively short, according to the characteristics of the fast and slow change matrix, the slow change matrix is set as a constant matrix in the first continuous test, and the system matrix related to all nodes of the bridge and the observation coefficient matrix related to all nodes in the bridge twin model are established through a series of effective tests and optimal indexes, and the bridge twin model is continuously corrected in the whole life cycle of the bridge, so that the technical problem of estimating and improving the bridge vibration model by obtaining a series of test and test data is solved.

The present invention discloses a bridge vibration reduction / vibration system, comprising a viscous damper and a mild steel damper arranged in the longitudinal direction of the bridge in the vibration reduction / vibration direction. The mild steel damper is mounted on a first bridge structure, one end of the cylinder of the viscous damper is connected to the second bridge structure, a horizontal slide extending in the longitudinal direction of the bridge is mounted on the first bridge structure, a first sliding member and a second sliding member that can slide independently of each other are matched and slidably mounted in the horizontal slide, the other end of the cylinder is fixedly connected to the first sliding member, the piston rod of the viscous damper is fixedly connected to the second sliding member, the second sliding member is connected to the upper cover of the mild steel damper, and a locking assembly is further provided between the first and second sliding members to lock the relative positions of the two. The present invention uses the displacement value of the upper cover of the mild steel damper as a locking control index, and the locking timing is accurate, so that the switching of the working states of the viscous damper and the mild steel damper can be accurately achieved.

The present invention discloses a pedestrian bridge vibration comfort assessment platform that takes into account human-bridge interaction. The platform comprises a self-powered sensing vibration force measurement platform and an analysis and control system. The self-powered sensing vibration force measurement platform includes multiple self-powered sensing force platforms and servo-controlled motors. The self-powered sensing force platforms are densely packed with friction nanogenerator self-powered three-dimensional force measurement blocks. The analysis and control system comprises three modules: data acquisition, feedback control, and data output. The modules collect the three-dimensional pedestrian load on the self-powered sensing vibration force measurement platform in real time, calculate the bridge dynamic response based on a finite element model of the pedestrian bridge, and then feedback-control the vibration state of the self-powered sensing vibration force measurement platform to simulate the actual bridge vibration. Finally, the bridge vibration comfort is assessed based on the dynamic response characteristics of the bridge throughout the loading process. The present invention enables real-time interaction between a computer and the self-powered sensing vibration force measurement platform, reducing sensing energy consumption while obtaining pedestrian bridge vibration comfort assessment results that are closer to reality.

The invention provides a vibration modal analysis method for a large-span cable-stayed bridge, and belongs to the technical field of bridge engineering, the cable-stayed bridge is simplified into a multi-cable cable-stayed beam structure considering the influence of cable force, and a cable-stayed bridge dynamic model is constructed through a parameterized order reduction technology; deducing a frequency characteristic equation of the cable-stayed bridge by combining a transfer matrix method and boundary conditions of the cable-stayed bridge; by solving the characteristic equation, the inherent frequency and modal characteristics can be determined more accurately and quickly; according to the method, the technical bottleneck of insufficient calculation efficiency of a traditional finite element method is innovatively solved, and fine evaluation of the fundamental frequency and the dynamic characteristics of the large-span cable-stayed bridge is completed; the method has both theoretical preciseness and engineering practicability, the calculation efficiency is remarkably improved, a new technical means is provided for dynamic performance evaluation of the kilometer-scale cable-stayed bridge, and the method has important engineering application value.

This invention belongs to the field of bridge vibration reduction technology, specifically a modular bridge vibration damping bearing. The proposed solution includes a mounting frame with mounting holes on both sides, and vibration damping components on the outer sides of both mounting holes. A push-out component is provided on the mounting frame, comprising a mounting base and a push-out plate. This invention addresses the safety hazard posed by providing a temporary support component. During maintenance or replacement of the vibration damping component, the bridge and the bearing are not in contact after the component is removed. In this state, a cylinder is activated during replacement or maintenance, lifting a pressure plate and bringing it into contact with the bottom of a support plate. The pressure plate then supports the bridge section, ensuring that the bearing and bridge are in a state of mutual compression contact after the vibration damping component is removed, thus eliminating the potential safety hazard.