1315 results about "Arch bridge" patented technology

The invention relates to the technical field of construction control, and particularly discloses a method and a system for dynamically regulating and controlling the installation precision of an inclined-span steel box arch bridge based on machine learning. Wherein the real-time data comprises real-time stress of the arch rib, real-time deformation of the arch rib, real-time environment wind speed and real-time hoisting parameters; constructing a prediction model capable of analyzing the coupling effect of the wind load and the hoisting unbalance load based on a large amount of historical construction data; inputting real-time data into the prediction model to obtain a real-time coupling effect analysis result; outputting a hoisting sequence optimization instruction based on the decision engine, the coupling effect analysis result and a preset mechanical constraint condition of the obliquely-spanning steel box arch bridge; based on the deviation between the real-time deformation amount of the arch rib and a preset installation precision threshold value, a cable force grading adjustment scheme is generated; construction efficiency of the inclined-span steel box arch bridge is effectively improved, construction safety and installation precision are guaranteed, and stability and reliability of the bridge structure are guaranteed.

The invention relates to the technical field of image analysis, in particular to a concrete arch bridge crack semantic segmentation method based on multispectral imaging, and the method comprises the following steps: collecting a multi-period multispectral image through an unmanned aerial vehicle, segmenting a crack region through a K mean value of the multispectral image, extracting a multiband spectral vector sequence, and carrying out the sliding normalization to generate a principal axis spectral vector; and calculating a spectral vector included angle and a change rate mark jump point, screening boundary points by combining direction consistency and gradient scoring, extracting spectral lines Z-score standardization by time sequence alignment, evaluating discrete fluctuation, correcting an abnormal output concrete arch bridge crack binary segmentation map. According to the method, the reflection spectrum sequence is constructed through the multi-period multi-spectral image, the crack recognition precision is improved by combining the main shaft features and the sliding window, the texture interference is eliminated by using the spectral vector included angle change and the gradient score, the standardized spectral line time sequence model is generated, the boundary positioning accuracy is enhanced, the noise interference is reduced, and the long-term monitoring of the structural damage is supported.

The invention relates to an influence matrix-based arch bridge cable-stayed buckle hanging buckle cable force multi-target data processing method and a multi-target optimization system thereof. The method comprises the following steps: establishing a finite element model, and correcting the model according to a construction sequence; extracting a plurality of correlation influence matrixes, wherein the influence matrixes comprise a displacement influence matrix, a cable force influence matrix and an internal force influence matrix; on the basis of a superposition principle, according to the obtained multiple correlation influence matrixes, obtaining an influence matrix relation, and then obtaining initial tension vectors of the buckle cables; and determining a plurality of corresponding constraint conditions based on an optimization theory, establishing an initial cable force multi-objective optimization model of a variable load, and calculating cable force value parameters of a buckle back cable of the cable-stayed buckle-hanging construction arch bridge. According to the method, the axial force of the arch rib rod piece and the arch rib line shape in the cable-stayed buckling construction process of the large-span arch bridge can be effectively controlled, and the optimal arch line shape and the stable stress state of the arch ring of the bridge are achieved.

The concrete-filled steel tube arch bridge detection system and method based on multi-modal fusion and quantum optimization are used for bridge structure health monitoring. The system comprises a multi-modal data acquisition module, a quantum optimization data fusion module, a defect self-growth simulation damage prediction module, a low-power-consumption intelligent sensor network and a quantum safety remote monitoring module. The multi-modal data acquisition module is fused with an ultrasonic radar, a millimeter wave radar, a hyperspectral image, a LiDAR and a wireless sensor, and bridge surface and internal damage detection is realized; the data weight is dynamically adjusted by adopting a quantum optimization algorithm, and the fusion precision is improved; in combination with a graph neural network and deformable grid calculation, crack propagation and fatigue damage development are predicted, the power consumption of the sensor is reduced through an energy collection technology, and the safety of remote monitoring data is ensured by adopting a quantum safety remote monitoring module. Compared with the prior art, the method improves the detection precision, prediction capability and data safety, and is suitable for health monitoring of various bridges and infrastructures.

The invention discloses an intelligent and efficient detection method for concrete-filled steel tube arch bridge arch rib void. The method comprises the following steps: 1, detecting a full bridge arch rib through laser scanning, obtaining three-dimensional point cloud data, identifying a suspected void area, and generating a bridge three-dimensional model; 2, detecting a full-bridge arch rib through infrared thermal imaging, recording a temperature distribution diagram, identifying a temperature abnormal region, and confirming a suspected void region; 3, echo signal characteristics of the suspected void area are detected through ultrasonic waves, and the specific position, depth and range of void are determined; 4, carrying out fusion analysis on laser scanning, infrared thermal imaging and ultrasonic detection data to generate a three-dimensional void distribution model, and generating a comprehensive detection report in combination with multi-source data; and 5, the arch bridge is monitored in real time, trend analysis and prediction are performed in combination with historical data, and a void expansion early warning mechanism is formed. According to the method, the void position, depth and range of the arch rib can be detected in a high-precision and non-destructive manner, and a reliable guarantee is provided for bridge safety.

A method for rapid and safe construction and intelligent monitoring and controlling of continuous arch bridges, which using a single-arch rib construction method, when installing a new arch rib segment, the clasp cable is immediately extended, and then using an intelligent control cable to ensure that the pier and anchorage tower are in a balanced state. The newly installed segment is no longer in a cantilever state, and the loading on the flange is very small, resulting in a small change in the tension force for the clasp cables of the previous segments. The present invention saves more than half of the clasp cable usage, reduces the number of transverse movements of the cable crane system, and significantly shortens the construction period. The construction method which using intelligent control cables to balance the unbalance loading on the middle pier, could be applied to the construction of continuous arch bridges.

The invention relates to the technical field of arch bridge monitoring, and particularly discloses a deformed steel arch bridge health monitoring and early warning system based on multi-source data fusion, which comprises a data acquisition module, a data preprocessing module, a multi-source data fusion module, an anomaly detection and mode recognition module and a health assessment and early warning module, a visual detection and image analysis module and a risk prediction and decision support module; by adopting the adaptive sampling method, the sampling frequency can be dynamically adjusted according to the dynamic change of the bridge, the load state and the importance of the sensor, so that the sampling frequency is reduced when the bridge is in a stable state, and the collection of redundant data is reduced; the redundant data generated when the data acquisition frequency is too high is reduced through self-adaptive sampling, so that the requirement for the storage space and the bandwidth requirement for data transmission are reduced, and the calculation efficiency is improved.

The present disclosure belongs to the technical field of arch bridge structures, and particularly relates to a steel-concrete combined skewback structure and a construction method thereof. In the present disclosure, by arranging arch rib tubes, concrete sections in a main chord pipe, concrete blocks in a skewback, fixing steel tubes, a transverse diaphragm unit, and a vertical diaphragm unit, the steel-concrete combined skewback structure can achieve the following objectives that 1. the skewback structure can be fully connected with a bearing platform; and 2. the fixing steel tubes are fully filled with concrete. In addition, the present disclosure further provides the construction method of the above steel-concrete combined skewback structure. The construction method the skewback structure itself and its mounting manner both have sufficient structural stability.

The invention provides an anomaly detection method and system based on Bi-LSTM and ST-GCN, and the method comprises the steps: constructing a space-time joint modeling frame for bridge health monitoring through the staged fusion of a bidirectional long-short time memory neural network (Bi-LSTM) and a space-time diagram convolutional neural network (ST-GCN) based on a point-line-plane three-stage detection mechanism for a tied arch bridge; the method comprises the following steps: extracting time sequence characteristics of a cable force meter through Bi-LSTM, identifying a single-sensor hardware fault, separating shared characteristics and sensor private characteristics from multi-sensor time sequence data, and enhancing sensor identity distinction degree and inhibiting interference factors such as temperature through decoupling comparison loss; the sensor private features are used as node features in an ST-GCN neural network, spatial positions among different sensors are identified by adopting a time attention mechanism through ST-GCN, spatial topological association and long-term time sequence dependence among the sensors are captured, and connection probability anomaly under a static adjacency relation is analyzed; and finally, the identified spatial position is analyzed and self-adaptive early warning is carried out, and a multi-node collaborative abnormal region is positioned through a connected domain algorithm, so that local damage and global abnormality are accurately positioned. The function of monitoring whether the bridge structure is damaged or not is achieved. Compared with a traditional machine learning database, more experimental parameters and a larger experimental data set are selected; the defect of low prediction precision of traditional machine learning is avoided, and the method has very high accuracy and reliability.

The invention relates to the field of concrete-filled steel tube structure mechanical property tests, in particular to a concrete-filled steel tube arch rib member long-term load and corrosion intelligent test device and method. The test device comprises: a corrosion tank covering the outside of a concrete-filled steel tube arch rib test piece and capable of being filled with or sprayed with a corrosive liquid; the load applying device comprises a plurality of load applying units, and each unit is used for applying long-term load to the concrete-filled steel tube arch rib test piece; the load applying unit comprises a screw rod, a nut, a loading end plate, a loading block and a force transmission block; the loading block penetrates through the corrosion tank and is tightly attached to the test piece, the force transmission block is located below the loading block and is tightly attached to the corrosion tank, and the multiple screws penetrate through the corrosion tank, so that the loading block can apply force to the concrete filled steel tube arch rib test piece; the sensor feeds back data to the data acquisition terminal in real time for processing, and the corrosion process is accurately controlled. According to the invention, the stress characteristics of the concrete-filled steel tube arch bridge under long-term load and corrosion effects can be simulated based on an intelligent technology.

The invention discloses a digital twinborn monitoring method for a self-evolution concrete-filled steel tube arch bridge, and the method comprises the steps: collecting multi-source monitoring data through deploying a multi-mode sensor at a key component of a bridge, and constructing an initial structure topological graph; and dynamic evolution and anomaly detection of the structure topology are realized by using a graph neural network and a Transform structure. Intelligent recognition and fault diagnosis of a structure state are realized by constructing a multi-physical field five-dimensional tensor and a health knowledge graph. And finally, generating and optimizing a structure alternative scheme by adopting a graph generative adversarial network and a genetic algorithm, verifying the performance of the scheme through finite element simulation, and realizing intelligence of bridge health monitoring and maintenance decision making. According to the method, real-time sensing, dynamic modeling and intelligent diagnosis of the structural state of the concrete-filled steel tube arch bridge are achieved by fusing multi-modal sensor data, multi-physical field coupling analysis, graph neural network modeling and an intelligent reasoning mechanism, the real-time performance and accuracy of monitoring are improved, and a scientific basis is provided for structural optimization design of the bridge.

The invention provides an arch bridge cable force adjusting method and device, a medium and a program product, and relates to the technical field of arch bridge cable force adjusting.The method comprises the steps that by establishing an arch bridge parameterization finite element model, specific unit force is applied to all suspenders to construct a first influence matrix; singular value decomposition is carried out on the first influence matrix, the first k suspenders with the total energy contribution rate exceeding a first preset value are extracted, and the sensitivity of the suspenders to the global suspender cable force is calculated; calculating an importance index in combination with sensitivity and suspender cable force deviation, and screening the first n important key suspenders to construct a second influence matrix; an adjusted vector is obtained based on the difference value of the second influence matrix and the target influence matrix, and the cable force adjustment amount of the key suspender is solved; the key suspender cable force is sequentially adjusted according to the importance sequence. According to the method, the key suspender is accurately identified through matrix decomposition and sensitivity analysis, the adjustment amount is quantified, interaction is considered, full suspender adjustment is avoided, the construction cost is remarkably reduced, and the cable force adjustment efficiency and accuracy are improved.

The invention discloses a reinforced concrete arch bridge steel arch hoisting device and a using method thereof.The reinforced concrete arch bridge steel arch hoisting device comprises a fixing base, an adjusting motor is installed in the upper end of the fixing base, a gear is arranged on an output shaft of the adjusting motor, a fluted disc is connected to one side of the gear, and a bearing disc is fixed to the fluted disc; a counterweight groove is formed in one side wall of the bearing disc, an electromagnet of an L-shaped structure is arranged on the inner wall of the counterweight groove, multiple sets of counterweight blocks are arranged below the counterweight groove and distributed along the rotating path of the bearing disc, a bearing plate is arranged below the counterweight blocks, and an electric push rod is fixed to the bottom end of the bearing plate. The device has the beneficial effects that the proper balancing weight can be selected according to the weight of hoisted goods, the load weight is reduced on the premise that hoisting safety is guaranteed, the device is prevented from running at high power all the time, the energy consumption of the device is reduced, and the use performance is high.

The invention discloses a large-span stiff skeleton arch bridge skewback foundation mass concrete crack control method, and relates to the technical field of bridge engineering, and the system comprises the following components: S1, building a collaborative analysis model, S2, analyzing deformation influence, and S3, implementing crack control measures. The method has high pertinence and practicability by adjusting the concrete mix proportion, adding the admixture, setting temperature control measures and optimizing the reinforcement design, the concrete mix proportion and the cement dosage can be adjusted in a targeted mode through the concrete stress distribution condition and the stiff skeleton deformation condition obtained through the collaborative analysis model, and the construction efficiency is improved. The additive is added to reduce the adverse effect of hydration heat, meanwhile, effective temperature control measures are set according to the temperature field distribution condition, in addition, by optimizing the reinforcement design, the bearing capacity and crack resistance of the skewback foundation can be further improved, the crack risk of large-size concrete of the skewback foundation of the large-span stiff skeleton arch bridge is effectively reduced, and the service life of the large-span stiff skeleton arch bridge is prolonged. And the overall quality and safety of a project are improved.

The invention discloses an unmanned aerial vehicle ground-to-air conversion-based arch bridge cantilever attitude and line shape real-time monitoring method, which comprises the following steps that: after segments are assembled on the ground, a plurality of prisms which are not positioned on the same straight line and a plurality of targets which are not positioned on the same straight line are arranged on the upper surfaces of the segments; three-dimensional point clouds of the segments are constructed, and coordinates of the three-dimensional point clouds are corrected through the targets; constructing a key point set, constructing a prism coordinate system (XYZ) L0, and converting coordinates of the key point set to the prism coordinate system (XYZ) L0; when the segments are spliced in the air, whether the prisms are subjected to construction disturbance deviation or not is checked, and the spatial positions and postures of chord members and flange holes of the segments are obtained according to the prism disturbance deviation condition. According to the invention, the world coordinates of the chord member pipe orifice center and the flange hole center of the main arch segment can be accurately obtained, and the spatial position and posture of the segment can be effectively reflected.

The invention relates to the technical field of bridge construction, in particular to an arch bridge construction counterweight optimization method and system based on stress monitoring. The method comprises the following steps: arranging a plurality of stress sensors at different parts of an arch bridge, and collecting stress monitoring data; performing data preprocessing operation and feature extraction operation on the stress monitoring data; inputting the features, the construction state parameters and the structure parameters into a machine learning model to obtain an arch bridge multi-section stress trend; generating an arch bridge construction counterweight optimization scheme by adopting a non-dominated sorting genetic algorithm; dynamically adjusting the counterweight optimization scheme according to stress monitoring data and the multi-section stress trend of the arch bridge; therefore, accurate and scientific optimization of the counterweight scheme in the arch bridge construction process is realized.

The invention provides a method for monitoring and controlling cable-stayed buckling construction of a concrete-filled steel tube arch bridge based on a digital twin system, and the method comprises the steps: collecting the monitoring data, such as wind speed and wind direction, arch rib stress displacement, tower bottom stress, tower deviation and cable force, through a sensor; establishing a concrete filled steel tube arch bridge construction digital twinning system based on a three-dimensional model, real-time monitoring, data analysis and a visual platform; time sequence data is decomposed into different frequency components through variational mode decomposition (VMD), a bridge construction stage prediction model is established through a long short-term memory network (LSTM), and real-time accurate prediction of the construction progress and state is achieved. And secondly, based on the prediction model and on-site real-time monitoring conditions, an intelligent load adjustment construction control method based on a digital twin system is provided, and high-precision control over automatic load adjustment of cable hoisting and real-time rectification of tower displacement is achieved. The problems that in a traditional monitoring and control method, early warning is not timely, the assembling precision is insufficient, and the arch axis shape control difficulty is large are solved.

The invention relates to a double-layer steel truss arch bridge mounting process. The double-layer steel truss arch bridge mounting process is characterized by comprising the following specific mounting processes: S1, field arrangement; s2, mounting on-shore and in-water temporary piers; s3, assembling the truss pieces and the bridge deck system; s4, mounting a main beam; s5, mounting an arch rib bracket; s6, assembling the arch ribs; s7, arch rib installation; and S8, the temporary structure is dismantled, and construction is completed. The construction sequence of mounting on-shore and in-water temporary piers, assembling truss pieces and a bridge deck system, mounting main beams and mounting arch ribs is sequentially carried out on the double-layer steel truss arch bridge, temporary support sets are adopted for auxiliary construction in the construction process of the main beams, and the laying sequence of the main beams is fully combined with the composition and erection positions of temporary supports; the main beam is laid in the side span direction by taking the revetment as a reference, so that the temporary support and the main beam are laid more scientifically; in addition, during installation of the arch rib sections, hoisting is carried out in the mode that the two ends are firstly arranged and then the middle is arranged, and safety and stability during installation of the arch rib sections are guaranteed.

The invention relates to the technical field of bridge construction, in particular to a large-span steel box basket arch bridge arch foot stress performance analysis and optimal installation method, which comprises the following steps of: investigating a project background and a research status; establishing and analyzing a full-bridge finite element model; establishing a local model of the steel box concrete arch springing; carrying out local stress performance analysis on the arch springing; carrying out arch foot optimization design scheme planning; analysis and comparison of an optimization design scheme; formulating an optimized installation method; according to the method, the actual stress state of the bridge can be accurately simulated by establishing the finite element model of the full bridge and the local arch springing, an accurate mechanical analysis basis is provided for optimization design and construction, an optimization design scheme of the concrete filling length and partial filling is provided, the optimization effect is evaluated through stress analysis, and the technical and economic indexes of the bridge can be evaluated. The stress performance of the arch springing is effectively improved, and the overall safety of a bridge is improved.

This method is applicable to the technical field of bridge construction and provides a method for real-time monitoring and evaluation of the force-bearing state during the casting process of a steel-pipe concrete arch bridge. The solution involves identifying environmental background points in the RGB three-dimensional matrix for the entire bridge within the range between the maximum and minimum RGB values ​​in the local RGB three-dimensional matrix for the steel pipe, representing environmental background temperature points in the temperature information matrix, and identifying concrete pouring points based on whether the unit matrix condition for the temperature of the steel dome pipe is met. The system also obtains the horizontal axis of the pixel at the center of the poured liquid surface in the left and right half arches in a Cartesian coordinate system, divides the entire arch rib to be poured into 2n equal parts, and calculates the cross-sectional displacement response of each structure based on the cross-sectional displacement caused by the load action of each segment. This allows for real-time, efficient, and accurate observation of the difference in concrete liquid surface level on both sides, allowing for the structural response during pouring to be determined and reducing the construction risk of arch bridges.

The invention discloses a stiff skeleton arch bridge arching process optimization method and system considering multiple objectives, and belongs to the technical field of bridge construction.The method includes the steps that a stiff skeleton arch bridge main arch ring finite element model is established, design variables and optimization objectives are analyzed and determined, and a multi-objective optimization model is established; minimization of instantaneous stress and permanent stress of a main arch ring of the stiff skeleton arch bridge and minimization of vertical deformation of a vault are used as objective functions, the length of a working face is used as a design variable, and constraint conditions are set. After an initial pouring scheme is determined based on an actual construction scheme, an optimization scheme is solved by adopting an NSGA-II algorithm. And further constructing quantitative evaluation indexes including a comprehensive stability coefficient and a stability coefficient variance, constructing a comprehensive evaluation index based on the quantitative evaluation indexes, and finally determining an optimal pouring scheme. The arch forming quality and the structural safety of the arch bridge can be effectively improved, the construction scheme is optimized, the construction cost is reduced, and important engineering application value is achieved.

The invention relates to a concrete filled steel tube arch bridge node comprehensive evaluation and green design method and an optimization system. The method comprises the steps of node parameter input, mechanical property evaluation, durability evaluation, construction process difficulty evaluation, material suitability evaluation and comprehensive score calculation. The system integrates a comprehensive evaluation module, a construction process simulation module, a self-repairing module and an intelligent monitoring module, and provides omnibearing support. A design method based on green construction and an extreme environment adaptability analysis method are also covered, material selection is optimized through life cycle analysis, and the implementability and long-term stability of node design are ensured. And an artificial intelligence technology is introduced to realize weight adaptive adjustment and optimization suggestion generation, so that the intelligence and flexibility of evaluation are improved. According to the method, node design and construction can be effectively guided, resource allocation is optimized, construction risks are reduced, the service life of nodes is prolonged, and the requirements of green construction and sustainable development are met.

The invention discloses an arch rib linear back calculation method based on multipoint strain and a deep neural network, and the method comprises the steps: firstly building an arch bridge finite element analysis model, which comprises the simulation of geometric nonlinearity and material nonlinearity, and the definition of a construction stage; and defining load loading modes and change ranges in different stress states needing to be considered, and determining a load combination through an orthogonal test design. And then performing finite element analysis to calculate multi-point strain and line shape of the main arch rib of the arch bridge under different load combinations, assembling a learning sample by taking the strain as input and the line shape as output, training, verifying and testing the LSTM by using the learning sample, establishing a mapping relation between the strain and the line shape, and further realizing rapid back calculation of the line shape of the main arch rib through the strain. According to the method, the LSTM is used for establishing the mapping relation between the multi-point strain and the line shape of the arch bridge main arch, the line shape of the main arch can be inversely calculated according to the newly monitored multi-point strain value of the main arch, and the problem that a traditional inverse calculation method is not suitable for arch bridge line shape calculation is solved.

The invention discloses a positioning and adjusting device for hoisting an arch rib of a steel pipe arch bridge, and belongs to the field of positioning devices. The device mainly comprises a positioning and adjusting device, the positioning and adjusting device comprises a left-right fine adjustment system, an up-down fine adjustment system is fixedly installed on the left-right fine adjustment system, and a steel pipe arch bridge arch rib bearing and fixing device is fixedly installed on the up-down fine adjustment system; according to the positioning and adjusting device for hoisting the arch rib of the steel pipe arch bridge, the safety risk during hoisting of the arch rib of the steel pipe arch bridge can be greatly reduced, and the offset precision of the arch rib during hoisting can be improved; meanwhile, the device is specifically divided into three systems, namely, a left-right fine adjustment system, an up-down fine adjustment system and a steel pipe arch bridge arch rib bearing and fixing device, and accurate deviation of the arch bridge can be achieved through close fit with an external lifting crane.

The utility model relates to a mounting type arch bridge main arch ring maintenance operation platform which comprises a walking system, a suspension system, a platform system and a platform lifting system. The walking system is provided with walking trolleys on the top faces of the two sides of the main arch ring respectively and can walk along rails arranged on the main arch ring, the suspension system is suspended on the two walking trolleys through a cantilever beam, platforms on the two sides of the platform system are located on the two sides of the main arch ring respectively, a lower platform is located below the main arch ring, and a winch of the lifting system is arranged on the suspension system. And the side platform and the lower platform are connected through a traction rope. The main arch ring maintenance platform is directly hung on a main arch ring and walks along the main arch ring, bridge floor traffic can be prevented from being affected, and constructors can carry out all-directional maintenance operation on the main arch ring on the platform.

The invention discloses a method for manufacturing an arched girder combined section of a super-large-section steel box arch bridge suitable for highway transportation. Comprising a manufacturing process method of an oversized arch foot steel straining beam rod piece of a parallelogram structure and an oversized arch foot steel arch rib rod piece of an octagonal structure and a process method for controlling the assembly size and the linear shape of an overall space structure of an arch foot steel straining beam and an arch foot steel arch rib. The arch foot steel straining beams of the parallelogram box type structures and the octagonal arch foot arch ribs are integrally manufactured, and the arch foot arch ribs and the arch foot straining beams are connected in a welded mode. According to the method, the complex structural characteristics of octagonal arch springing arch ribs and parallelogram irregular arch springing straining beams of the steel box arch bridge arch beam combination section are combined, the method that the plate units are manufactured firstly and then the box body is assembled is adopted, the tailor-welding size of each plate unit is controlled, and control over welding deformation and the overall size of the subsequent box body is facilitated; an integral horizontal pre-splicing method is adopted, and a matching piece welding method is adopted, so that the aim of controlling the spatial relationship between the arch springing, the arch rib and the straining beam is achieved.

The invention discloses a large-span tied arch bridge steel box arch rib construction control method. The method comprises the steps that a large-span tied arch bridge steel box arch rib section three-dimensional model is established, and arch rib sections are numbered in sequence; performing all-weather continuous monitoring on the arch rib section temperature data room by using mathematical statistics and a comparative analysis method to obtain monitoring data; analyzing an influence rule of natural parameters, steel box arch rib structure attributes and construction parameters on the space time-varying non-uniform temperature field by adopting a heat exchange theory of a bridge structure and an external environment and a bridge structure thermal analysis theory according to the monitoring data and the three-dimensional model; and according to the influence rule, the expected folding time and the position size of a folding opening are determined, the position size of the folding opening is adjusted based on a folding opening adjusting device, and the arch rib section folding construction operation is completed within the expected time. The expected folding time and the folding opening position size are accurately determined, and the construction precision and efficiency are effectively improved.

The invention discloses a comprehensive evaluation method for the health state of concrete filled steel tubes. According to the method, a multilevel evaluation index system for the health state of the concrete-filled steel tube structure is constructed, and factors influencing the health of the structure are divided into a plurality of key indexes including the ultimate bearing capacity, the overall stability performance, the anti-seismic performance and the like. The method comprises the following steps: firstly, quantifying each index by using a membership function in fuzzy mathematics, and constructing a membership matrix; secondly, determining the weight of each index according to the influence of each index on the whole bridge; then, the health state of the concrete filled steel tube is evaluated through the fuzzy comprehensive evaluation model, the structure health level is generated, an accurate health state evaluation result is provided, and the method is suitable for health monitoring and evaluation of complex concrete filled steel tube structures such as bridges, tunnels and high-rise buildings. The method has the advantages of being high in evaluation precision, wide in application range and easy and convenient to operate, and a scientific basis is provided for safety management and maintenance decision making of the concrete-filled steel tube structure.

According to the method for designing the reasonable arch axis of the large-span arch bridge based on the hybrid calculation algorithm and the self-adaptive load distribution, an analytic equation method, a curve fitting method and an intelligent optimization algorithm are combined, and by selecting the initial arch axis, introducing a dynamic load distribution model and applying a genetic algorithm and a particle swarm optimization algorithm, the reasonable arch axis of the large-span arch bridge is designed. Global and local optimization is carried out, and the optimal shape and load distribution of the arch axis are ensured. And finally outputting design parameters, such as a control point, a bending moment, thrust and the like. According to the method, the design precision, flexibility and safety can be effectively improved, the material utilization rate is optimized, the cost is reduced, and the method is particularly suitable for design of large-span bridges and has high practical value.

The invention discloses a supporting device for reinforcing an arch bridge bottom die, and belongs to the technical field of arch bridge bottom dies. The supporting device comprises a base, first demolding plates are symmetrically arranged on the two sides of the upper end of the base, second demolding plates are arranged at the ends, away from each other, of the two first demolding plates, a first splicing plate is clamped between the first demolding plate and the second demolding plate on the same side, and a second splicing plate is clamped between the two first demolding plates; a lifting radian adjusting mechanism is arranged at the upper end of the base, and the heights and the radians of the first demolding plate and the second demolding plate are adjusted through the lifting radian adjusting mechanism; the gaps between the first demolding plates and the second demolding plates and the gap between the two first demolding plates are filled through the first splicing plates and the second splicing plates correspondingly; the height and radian of the supporting device can be flexibly and accurately adjusted, and the reinforcing requirements of arch bridge bottom dies of various complex shapes and sizes can be met.