1213 results about "Bridge engineering" patented technology

The invention relates to the technical field of bridge engineering construction, in particular to a bridge deck concrete flatness detection and correction method, which comprises the following steps: synchronously acquiring bridge deck point cloud, elevation and crack data through a three-dimensional laser scanner, a laser profiler and an ultrasonic sensor, and fusing to generate a three-dimensional digital model; defects such as local protrusions and wave deformation are recognized based on an intelligent analysis algorithm, causes are analyzed, and correction process parameters such as milling, cladding, grouting or ultrathin layer pouring are generated in a targeted mode; operation is executed through equipment such as a finish milling machine, closed-loop control is realized by combining real-time monitoring of a laser profiler, and finally, a traceable digital file is formed through laser detection, inspection and acceptance of an unmanned aerial vehicle and data archiving. By means of the method, the pass percent of the flatness of the bridge floor can be increased to 94% or above, the maximum height difference is controlled within 3 mm, the maintenance period of the bridge is prolonged, and the maintenance cost is reduced.

The invention discloses a nondestructive testing device for a steel profile and a testing method of the nondestructive testing device. According to the method disclosed by the invention, the ultrasonic technology is combined with optical imaging, so that synchronous detection of surface and internal defects can be completed at one time. Ultrasonic waves penetrate through the interior of the steel profile, and hidden defects such as cracks and air holes are accurately recognized; the optical camera module captures visible problems such as surface scratches and corrosion in real time. The integrated detection mode avoids the tedious process of step-by-step operation required by a traditional method, for example, magnetic powder detection of surface defects and ultrasonic scanning of an internal structure are not needed, the detection period is greatly shortened, and the method is especially suitable for steel structure buildings, bridge engineering and other scenes with high requirements for detection efficiency and has good application prospects. The full-process automatic design effectively reduces the influence of human intervention, and ensures the scanning continuity of the detection area; the intelligent algorithm automatically analyzes the ultrasonic echo signal and the optical image data, and judges the defect level according to the preset standard, thereby avoiding subjective misjudgment of manual visual inspection.

The invention provides a bridge settlement monitoring method and system, and relates to the technical field of bridge engineering monitoring, and the method comprises the steps: firstly selecting a component surface region directly associated with settlement conduction in a bridge structure as a visual clue node, and constructing a bridge structure visual clue network; setting shooting parameters of image acquisition equipment according to spatial distance parameters in the bridge structure visual clue network to form a multi-clue collaborative image set; then, carrying out settlement conduction characteristic modeling on the multi-clue collaborative image set, extracting a visual characteristic variable quantity, establishing a corresponding relation with a settlement conduction path, and generating a settlement conduction characteristic matrix; inputting the settlement conduction characteristic matrix into a preset model, converting the settlement conduction characteristic matrix into settlement displacement parameters of corresponding components, and integrating the settlement displacement parameters to form bridge settlement state information; and finally, based on the settlement state information, generating a monitoring instruction containing a settlement conduction path identifier and settlement parameters of each component, and transmitting the monitoring instruction to a monitoring terminal. The method is comprehensive, accurate, economical and efficient, and can effectively guarantee the safety of the bridge structure.

The invention discloses a bridge engineering-oriented foundation pile quality detection system, which relates to the technical field of engineering quality detection, and comprises a data acquisition module configured to acquire detection data including foundation pile construction parameters, geological environment data, stress wave signals and geometric dimension parameters, the wave velocity correction module is configured to correct a standard wave velocity through a dynamic coupling algorithm, the defect depth calculation module is configured to calculate the defect depth of a foundation pile defect, and the credibility evaluation module is configured to output a credibility correction coefficient and feed back the credibility correction coefficient to the wave velocity correction module by quantifying errors of detection data; according to the method, through multi-physical field wave velocity correction, pile diameter-defect depth double correction and credibility quantitative iteration, a high-precision, objective and traceable integrated solution is systematically provided for bridge engineering foundation pile quality detection.

The invention belongs to the field of bridge engineering construction monitoring and intelligent control, and provides a Beidou digital twinning system for bridge steel member precision hoisting and a hoisting method aiming at the problems of low efficiency and poor real-time performance of on-site hoisting of a segment steel member in a large-span bridge structure. The system comprises a multi-source data acquisition module, a coordinate conversion module, an attitude calculation module, a three-dimensional virtual model construction module, a hoisting motion state monitoring module and a digital twinning module. The attitude resolving module calculates a standard attitude vector by using a comprehensive deep learning model according to the degree-of-freedom data, the attitude information and the movement speed, and performs attitude resolving based on the standard attitude vector to obtain an attitude angle of the bridge steel member; the hoisting motion state monitoring module can perform safety early warning and posture adjustment when the bridge steel member is abnormal; and the digital twin module can synchronously update the attitude information and the three-dimensional virtual model of the bridge steel member to obtain the current space trajectory and historical state of the bridge steel member.

The invention relates to the technical field of bridge engineering detection and repair, in particular to a bridge crack repair effect prediction method and system based on performance simulation, and the method comprises the following steps: obtaining basic data and environmental load data of a target bridge, and matching at least two candidate repair schemes from a preset repair scheme library; constructing an initial performance model before repair, and calculating an initial bearing capacity loss rate and a crack propagation rate; quantifying the interaction influence of the multi-modal data through a coupling factor matrix, and iteratively calculating the repair condition of a set time period after repair to obtain an initial simulation result; and collecting real-time monitoring data in a set time period in the repairing process and after repairing, and inputting the real-time monitoring data into a preset LSTM adaptive correction model to obtain a corrected simulation result. According to the method, the long-term repair condition after repair can be accurately calculated, the accuracy of a prediction result and the environmental adaptability are remarkably improved, and a scientific basis is provided for long-term service performance pre-judgment.

The invention discloses a high-pier large-span extra-large bridge suspended pouring beam hanging basket construction method, and belongs to the field of bridge engineering construction.The method comprises the following steps that hanging basket rails are installed, the precision is controlled, and a hanging basket comprising a double-channel-steel main truss, a manganese steel sling, an arc-shaped flow guide plate and a honeycomb formwork is assembled; grading pre-pressing is carried out according to the specified multiple of the design load, and the pre-camber of the template is corrected by adopting a BP neural network to ensure that the finished bridge linear error meets the requirement; a mechanical-hydraulic-electrical integrated intelligent control system is deployed, and the traveling speed and synchronism of the hanging basket are controlled through double-oil-cylinder driving, a 5G digital twin platform and an edge computing technology, so that rapid alarm is realized when the load is abnormal; segmental circulation construction is carried out, and when the environment wind speed reaches a set value, a hydraulic rail clamping device is automatically locked; a model is established by using ANSYS software, and simulation verification is performed on multiple types of key working conditions to ensure that the safety coefficient of the structure meets the specification requirement. The construction precision and safety are guaranteed, and the method adapts to complex environments.

The invention relates to the technical field of bridge engineering structure health monitoring, in particular to a service life prediction method and system for a bridge connection part, and the method comprises the steps: collecting the strain of a grouting sleeve, a reinforcement-grouting interface ultrasonic reflection signal and environment temperature and humidity data through a distributed sensor array; a three-dimensional dynamic void rate model is generated through fusion of a spatial topological mapping algorithm, a correlation function of load circulation and void expansion is established, the dynamic void rate is input into a bond strength coupling degradation model, after strength attenuation is quantized in combination with steel bar corrosion data and bond failure early warning is triggered, stress redistribution is calculated through multi-physics coupling simulation, and the dynamic void rate is obtained. Early warning is taken as a starting node, the actual load spectrum and temperature and humidity data are combined, Monte Carlo sampling is adopted to simulate rigidity degradation and output the residual life probability, the system comprises a multi-source collaborative sensing unit, a micro-void evolution analysis unit and a life prediction decision unit, and the safety control precision of bridge connection parts is improved.

The invention relates to the technical field of track bridge engineering, in particular to a high-speed railway track-bridge system earthquake-caused residual irregularity prediction method, which comprises the following steps of: determining a target object, and constructing an earthquake-caused irregularity database based on historical earthquake oscillation data of the target object; based on the earthquake-induced irregularity damage database, constructing an earthquake-induced peak irregularity deep learning prediction model fused with the vibration mode superposition method, and performing prediction by adopting the earthquake-induced peak irregularity deep learning prediction model to obtain an earthquake-induced peak irregularity prediction value; calculating an earthquake-caused residual irregularity equivalent coefficient based on earthquake-caused peak irregularity and earthquake-caused residual irregularity in the earthquake-caused irregularity damage database; and earthquake-caused residual irregularity is predicted based on the predicted earthquake-caused peak irregularity predicted value and the earthquake-caused residual irregularity equivalent coefficient. According to the method, the engineering safety and reliability of the result are ensured based on the mapping relation of the probability assurance rate, and the method has high efficiency and safety and is suitable for practical engineering application.

The invention belongs to the technical field of bridge engineering, and aims to eliminate the problem of systematic underestimation of web bearing capacity under the condition of standard effective loading length. The invention provides a method for correcting a local pressure bearing capacity calculation formula of a steel beam web, which comprises the following steps of: identifying and determining a key parameter ratio and an engineering application range thereof by carrying out sensitivity parameter analysis on a bending reduction coefficient; on the basis of the reference engineering case, fixed values are taken from part of parameters, and other geometric quantities are inversely calculated; based on a preset variable sequence, finite element models are established in Abaqus in batches, and the ultimate bearing capacity and the flange longitudinal stress level of each model are extracted; the standard calculation value is corrected according to a finite element result, the corrected ultimate bearing capacity of the steel beam web is calculated, and a corrected bending reduction coefficient is obtained accordingly; and finally, fitting a corrected formula about the regularized slenderness ratio on the correction coefficient by taking the specification parameter as an independent variable to obtain an expression capable of directly replacing the original specification. The method can significantly improve the calculation precision.

The invention discloses a cable-stayed bridge cross brace optimization system based on system reliability and an intelligent algorithm, which relates to the technical field of bridge engineering, and comprises a multi-source parameter input module used for collecting and processing data such as a main beam section, stay cable parameters, a strain sequence, a vibration sequence, a satellite cloud picture, a traffic monitoring flow, laser point cloud and the like; and outputting the structured design data, the monitoring data flow, the dynamic load spectrum, the probability distribution model and the construction error correction parameters. According to the invention, all-dimensional data such as design, monitoring, load, materials and construction errors are integrated through the multi-source parameter input module, and multi-level and dynamic reliability evaluation is carried out on the component, the subsystem and the system level by using the system reliability analysis module, so that the component failure probability, the system reliability index time sequence and the like can be output; therefore, the real reliability level of the cross brace of the cable-stayed bridge in the whole life cycle is reflected more accurately, and the one-sidedness of a traditional method is avoided.

The invention relates to the technical field of bridge engineering detection, in particular to a distributed optical fiber strain sensing detection system for a bridge engineering dynamic and static load test, and the system comprises a distributed optical fiber strain sensing module which is used for obtaining the strain information of different positions of a bridge; the dynamic and static load signal acquisition and conversion module is used for converting the strain signal into a strain electric signal suitable for transmission and processing; the temperature compensation module is used for carrying out temperature compensation on the strain signal according to the change of the collected environment temperature; the data processing and analyzing module is used for processing and analyzing the strain electric signal subjected to temperature compensation so as to obtain the strain distribution condition and related parameters of the bridge structure under the action of dynamic and static loads; and the monitoring and early warning module is used for monitoring the state of the bridge in real time according to the result obtained by the data processing and analyzing module and sending out an early warning signal when the strain of the bridge is abnormal. The problem that in the prior art, comprehensive, high-precision and real-time dynamic and static load strain monitoring cannot be carried out on bridge engineering is solved.

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 discloses a modularized replaceable self-resetting energy consumption type bridge pier anti-collision system, and belongs to the technical field of bridge engineering structure safety. The system includes an annular rubber pad, an annularly disposed damper module, and a shape memory alloy (SMA) tow. The damper module comprises a cylinder body, high-viscosity fluid, a reset spring, a piston and a force transmission plate. The cylinder body is fixed to the pier in a surrounding mode through bolts and rubber pads, the inner wall of the cylinder body is connected with the piston through a reset spring, the piston rod end is hinged to the force transmission plates, and the SMA wire bundles are connected with the force transmission plates. When an external impact load acts on the force transmission plate, the fluid damper provides viscous energy consumption, and the SMA wire bundle, the spring and the rubber pad provide deformation energy consumption; after the collision is finished, the system can be reset to the initial position under the synergistic effect of the SMA wire bundle, the spring and the rubber pad. By means of the modular design, efficient energy consumption and self-resetting can be achieved; and meanwhile, a single damper can be quickly replaced after being damaged, so that the maintenance efficiency and the system recoverability are greatly improved.

The invention relates to the technical field of bridge engineering, in particular to an in-service steel bridge U rib and top plate crack double-face welding repairing method and application thereof. The method comprises the steps that the position of a crack is determined, a bridge deck pavement layer above the crack is removed, and the surface of a bridge deck slab in a crack area is cleaned; flattening the bridge deck slab on the two sides of the crack, and fixing the flattened bridge deck slab; u-rib internal welding construction process holes are formed; u rib inner welding reinforcing welding and weld leg increasing welding are carried out in an inner corner area where the U rib with the cracks is connected with the top plate; sealing and repairing the construction process hole; carrying out carbon arc air gouging on the crack above the bridge deck slab, and forming a gouging groove in the bridge deck slab; and polishing and multi-layer and multi-pass welding are carried out on the planed groove. The method is fused with an internal welding technology, is a comprehensive repair scheme with root treatment, double reinforcement, controllable deformation and reliable quality, thoroughly overcomes the technical defects of treatment of symptoms, no treatment of root causes, easy secondary damage, poor reliability and the like in the prior art, and remarkably prolongs the service life and the safety performance of the in-service steel bridge.

The invention discloses structural part welding equipment for bridge engineering construction, and relates to the technical field of welding equipment. The structural part welding equipment for bridge engineering construction comprises a portal frame, a chute is formed in the top of the chute plate, the chute inclines upwards in the process of being away from the portal frame, a supporting plate is slidably mounted at the chute of the chute plate, and the top of the supporting plate is a plane. When the positioning mechanism positions the plate and applies pressure to the plate obliquely and downwards, the bottom of the plate is tightly attached to the top of the supporting plate, and when the plate tends to slide relative to the supporting plate due to inertia of the plate or contact between the plates in the movement process, the friction force between the supporting plate and the plate can be reduced to the maximum degree. And the supporting plate tends to slide in a chute of the chute plate, so that the supporting plate applies pressure to the plate upwards, and the movement of the plate is limited in cooperation with obliquely downward pressure application of the positioning mechanism.

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 provides a bridge swivel intelligent monitoring system, belongs to the field of bridge engineering monitoring, and is used for solving the problems of poor multi-form adaptation, low calculation precision, insufficient extreme pre-judgment, weak fault tolerance and no long-term evolution ability of a traditional bridge swivel monitoring system in related technologies. The system comprises a multi-form identification module, a multi-field coupling calculation module, a digital twinborn mapping module, a fault-tolerant cooperation module and a full-cycle evolution module, all the modules cooperate to achieve accurate identification of a rotation form, nonlinear calculation of core parameters, generation of extreme scene samples, multi-fault fault tolerance and full-life-cycle parameter optimization, and horizontal rotation, vertical rotation and combined rotation scenes can be covered. The monitoring precision and the system robustness are improved, the bridge swivel construction safety is guaranteed, and the intelligent level is improved.

The invention discloses a fabricated steel-UHPC external prestressing combined box girder and a construction method and application thereof, and relates to the technical field of bridge engineering, the fabricated steel-UHPC external prestressing combined box girder comprises a prefabricated steel-UHPC combined top plate, a prefabricated steel-UHPC combined bottom plate, a prefabricated steel-UHPC combined web plate, a steel diaphragm plate and an external prestressing system. The box girders are formed by combining prefabricated slabs, the prefabricated web plates are firmly connected with the prefabricated top plate and the prefabricated bottom plate through welded steel plates and post-poured UHPC, and arrangement and tensioning of external prestress are achieved by arranging steel anchor boxes and steering gears in box chambers. According to the combined box girder, the steel and the UHPC are combined to form a structural form that the steel plate is wrapped by the UHPC, and the advantages of high strength, high durability, high toughness, high compactness, low creep and the like of the UHPC and the advantages of high strength, high elastic modulus and weldability of steel are fully utilized, so that the box girder has the advantages of being excellent in structural stress performance, light in overall weight, good in durability, small in later-stage deformation, low in cost and the like. And the hoisting device is especially suitable for bridges in urban rail transit or urban railways.

The invention relates to the technical field of bridge engineering detection and life evaluation, and discloses a bridge deck residual fatigue life prediction method and system based on real-time image information. The objective of the invention is to solve the problems of low subjective efficiency, time-consuming numerical simulation, low automation and intelligence level and poor generalization ability of the existing in-service bridge RC deck residual fatigue life evaluation means. According to the scheme, an evaluation system including image acquisition, physical simulation data set generation, deep learning evaluation model and result output is constructed; generating a bridge deck crack image-residual fatigue life pairing data set covering mirror symmetry and extreme crack modes by using a high-fidelity physical simulation platform, and training an end-to-end deep convolutional neural network regression model; a bridge floor image is collected on site and preprocessed, the residual fatigue life is directly output by an input model, and finally a visual evaluation report is generated.

The invention discloses a bridge engineering knowledge base construction method and system, and the method comprises the steps: classifying the multi-modal data of each project in the bridge engineering field according to the data type, carrying out the structural conversion, forming a structural data document corresponding to each project, and constructing a modular parallel workflow; the data types comprise texts, images and voices; splitting each structured data document into document segments according to semantic features, and generating document segment vectors by using an embedded model; forming double indexes by using all document fragment vectors and an entity-relationship-attribute triple of the bridge knowledge graph, and constructing a structured data document library-document fragment vector library-knowledge graph three-layer knowledge base; and training a bridge large model based on implicit rule coding, explicit engineering constraint and a rule activation mechanism, and embedding the trained bridge large model into the three-layer knowledge base to complete construction of the bridge engineering knowledge base. Data are fully utilized, the coverage range of the knowledge base is expanded, a multi-dimensional evidence source is provided, and question and answer credibility is improved.

The beam and slab prefabrication integrated production line comprises a steel bar machining unit, a movable mold table, a mold closing mechanism, a concrete pouring unit, a steam curing unit and a finished product transferring unit which are sequentially arranged along a ground rail. A T-shaped steel reinforcement framework is formed by the steel reinforcement machining units, a pouring area is defined by the strip-shaped mold table, the T-shaped mold plate and the side mold plate through the unique structural design of the movable mold table, and the side mold plate can move along the oblique sliding base. The mold closing mechanism realizes mold closing through a hydraulic rod; the finished product transfer unit transfers finished products through cooperation of a hydraulic supporting rod and a transfer trolley. The production line effectively solves the problems of large demolding friction, high energy consumption, low efficiency and the like of a traditional T-shaped beam plate prefabrication production line, can improve the prefabrication quality and production efficiency of the T-shaped beam plate, and is suitable for large-scale bridge engineering construction.

The invention discloses a bridge substructure modeling scheme generation method and device, equipment and a medium, and relates to the technical field of bridge engineering, and the method comprises the steps: obtaining bridge superstructure design input parameters, constructing substructure design task information, and generating design parameters through big language model reasoning; and a modeling script is automatically generated, and structural response calculation is carried out. Different modeling strategies are judged and executed according to the calculation result, finally, a target modeling scheme meeting the requirement is intelligently generated, design parameter generation and automatic modeling of the bridge substructure in a non-standard bridge type scene are achieved, and the design efficiency and accuracy are improved.

The invention relates to the technical field of bridge engineering, in particular to a bottom formwork dismounting method for superaltitude cable bent tower lower cross beam support-free method construction. Comprising the following steps that S1, an existing lower cross beam serves as a disassembling tool supporting system, a plurality of stand columns are arranged on the top of the lower cross beam, distribution beams are erected among the stand columns in the bridge direction, and a sliding type hanging frame system is erected on the distribution beams; s2, a polytetrafluoroethylene sliding plate and a limiting device are arranged between a sliding beam and a distribution beam of the sliding type hanging frame system; s3, longitudinal beams are laid on the tops of the lower cross beams, upper cross beams are transversely erected at the two ends of the longitudinal beams, and winches are arranged; s4, the bottom formwork is segmented through a sliding type hanging frame system; and S5, after the bottom formwork is removed, the overlapped sliding type hanging frame system, the distribution beams and the stand columns are removed, and the original appearance of the top structure of the lower cross beam is recovered. The cyclic operation of positioning, cutting and shifting of the superaltitude lower cross beam support-free method bottom formwork is achieved through the traction sliding type hanging frame system, operation is convenient and fast, and stability and safety are high.

The invention relates to the technical field of bridge engineering maintenance decision, and discloses a bridge maintenance decision method based on big data. The method comprises the steps of collecting bridge monitoring data through a sensor network, performing hierarchical processing on an original data stream, identifying and packaging abnormal fluctuation, trend change and a periodic mode, and forming a structured health event sequence. And dynamically constructing and updating the digital sign profile of the bridge in combination with the design parameters and the material degradation model. And when a decision is triggered, simulating a performance evolution path under multi-factor coupling based on the profile, generating a future maintenance scene set, and matching and assembling a preliminary plan from historical cases and the knowledge graph. And outputting a final maintenance instruction list sorted according to priorities by performing resource and time coupling analysis and multi-target tradeoff on all plans. According to the method, deep analysis and prospective simulation of the bridge state are realized, and the intelligence, accuracy and performability of maintenance decision making are improved.

The invention discloses a bridge engineering bidding and bidding quotation risk early warning and cost dynamic regulation and control system and method. The system comprises a data acquisition module, a data preprocessing module, a risk early warning module, a cost dynamic regulation and control module, a linkage execution module, a data storage and update module and a man-machine interaction module. On one hand, a multi-dimensional data acquisition system of bridge exclusive basic data, market dynamic data, policy and regulation data, bidding transaction data and construction pre-judgment data is covered, cooperative operation of static feature risk association factor extraction and dynamic time sequence risk change trend capture is realized, and the accuracy of risk assessment is improved; and meanwhile, a risk-cost closed-loop linkage mechanism is established, a cost-risk association database is constructed, and differential cost regulation and control strategies are formulated in combination with management and control targets of different stages of bidding and tendering, so that the technical problems of low regulation and control efficiency and poor adaptability are solved.

The invention discloses a bridge splicing part route optimization design method based on a constraint condition genetic algorithm, and relates to the technical field of bridge engineering design, and the method comprises the steps: building a hard constraint and soft constraint double-layer constraint system based on a standardized data set and a parameterized model in a step 2, and associating the system to fitness calculation of chromosomes; and based on a constraint processing result, integrating multi-objective optimization requirements, and constructing a fitness function. According to the method, a route is abstracted into a third-order cubic B-spline curve and parameterized coding is carried out, iteration is carried out in combination with a genetic algorithm, a design space can be globally explored in an optimizable control point range, and compared with traditional experience design, a better global solution can be found, and the problem of local optimum caused by experience limitation of engineers is avoided. The fitness function realizes multi-target quantitative integration through normalized indexes and adjustable weights, the weights of cost, smoothness and environmental influence can be flexibly adjusted according to project scenes, the problems of multi-target qualitative and difficult comparison in traditional design are solved, and the scheme adaptability is remarkably improved.

The invention relates to the technical field of physical analysis, in particular to a bridge structure damage detection method and system for bridge engineering, and the method comprises the steps: obtaining an infrared detection image of a bridge structure of the bridge engineering through infrared equipment, and determining all potential crack regions and steel bar regions of the bridge structure according to the infrared detection image, according to the potential crack area and the reinforcing steel bar area, a moving path avoiding the reinforcing steel bar area is determined, the potential crack area is scanned along the moving path through ultrasonic equipment, an ultrasonic detection result is obtained, and interference of the reinforcing steel bar area on damage detection and the probability of missing detection are reduced; according to the ultrasonic detection result, the supplementary scanning direction is determined, supplementary scanning is carried out based on the supplementary scanning direction through the ultrasonic equipment to determine the target crack area, the scanning direction of the ultrasonic equipment is more comprehensive through supplementary scanning in the supplementary scanning direction, and therefore the target crack area is obtained according to the target crack area. And a more accurate damage detection result of the bridge structure is determined.

The invention discloses a comprehensive performance evaluation method for a bridge structure, and belongs to the technical field of bridge engineering, and the method comprises the steps: obtaining time domain data of deflection and displacement, and frequency domain data of cable force and vibration according to dynamic monitoring data; rejecting the temperature effect by adopting a linear regression model to obtain corrected time domain and frequency domain data; applying a Weibull extreme value distribution model to perform fitting analysis, extracting a dead load effect, and obtaining a structural response data set caused by dead load; calculating a score value and an allocation weight of a single position index on the bridge, calculating a uniform coefficient, and calculating a non-uniform coefficient based on the structural response data set; and multiplying the uniform coefficient by the non-uniform coefficient to obtain a comprehensive score of the monitoring index, and comparing the comprehensive score with a preset standard interval to obtain a performance evaluation result. According to the method, the temperature effect can be systematically eliminated, the dead load effect is extracted, and comprehensive and accurate evaluation of the health state of the bridge structure is realized by combining scoring and a weight distribution mechanism.

The invention discloses a vibration displacement sensor system for bridge operation monitoring and a use method thereof, and belongs to the technical field of bridge engineering. The system comprises data acquisition ends and data receiving and processing ends, the data acquisition ends are fixed to bridge piers, bridge abutments or the side faces of beam slabs, each data acquisition end comprises a capacitive acceleration sensor, a microwave signal antenna, a double-lithium battery pack and a solar cell panel, and the data receiving and processing ends are installed at stable positions of the two banks of a bridge. Comprising a multi-channel microwave receiving module, an edge computing unit, a 4G / 5G / LoRa / NB-IoT multi-network transmission module and a phase difference computing module. According to the invention, the problems of insufficient stability and poor environmental adaptability of existing data transmission are solved. According to the invention, through integration of temperature compensation, anti-interference communication, intelligent power supply optimization and rapid installation design, high-precision, all-weather and low-power-consumption monitoring is realized.