18233 results about "Rebar" patented technology

The invention relates to equipment and a method for water-guided laser collaborative forcible entry of a reinforced concrete pile head based on artificial intelligence recognition, and belongs to the technical field of forcible entry equipment. Comprising a mobile chassis; the rack is mounted on the movable chassis; the water jet system is mounted on the rack and is provided with a first working part; the mechanical drill bit system is mounted on the rack and is provided with a second working part; the identifying and positioning module is used for collecting real-time data of a three-dimensional structure, steel bar distribution and a forcible entry area of the pile head; and the control unit is in communication connection with the identifying and positioning module, the water jet system and the mechanical drill bit system, and the control unit receives data of the identifying and positioning module to generate a forcible entry strategy and a mechanical drill bit path plan so as to guide the first working part and the second working part to cooperatively work. The technical problems that in the prior art, impact force of water jet forcible entry is limited, and the forcible entry efficiency of a hard core layer and a complex forcible entry environment is not high are solved.

The invention discloses a metro shield tunnel crack width refined numerical simulation method under surface loading, and the method comprises the following specific steps: describing the overall stress deformation characteristics of a soil body-shield tunnel structure based on a stratum-structure method, and simulating a macroscopic equivalent model by adopting a continuous medium model, and the equivalent stiffness reduction effect caused by the influence of longitudinal seams and circular seams is fully considered, the most unfavorable section position along the shield tunnel is determined, so that the key section is replaced with a refined model considering local hand hole weakening, multi-contact and built-in steel bars, and the shield tunnel crack evolution characteristics are described by adopting a total strain crack model. And obtaining the millimeter-scale crack width of the target tunnel structure based on a load-structure method. According to the analysis method, the millimeter-scale crack width of the shield tunnel under the action of ground surface loading can be accurately obtained, the structure safety state can be rapidly evaluated in combination with current specifications, and an important basis is provided for operation and maintenance of the subway shield tunnel.

The invention is suitable for the technical field of engineering monitoring, and provides a dynamic monitoring and evaluation platform based on digital twinborn engineering quality, which comprises a twinborn model construction module used for constructing a preliminary digital twinborn model based on material attribute parameters of reinforced concrete and performing virtual entity mapping of the reinforced concrete; the environment working condition simulation module is used for integrating a dynamic environment field in the digital twin model and simulating different loading paths, constraint conditions and multi-field coupling; the physical data monitoring module is used for carrying out strain monitoring and crack detection on the reinforcing steel bars based on a sensor and carrying out internal monitoring and surface detection on concrete; and the twinborn model optimization module is used for correcting and optimizing the digital twinborn model on the basis of comparing the physical monitoring data with the output data of the digital twinborn model. The physical monitoring data and the digital twinborn model are combined, the states of the reinforced concrete structure under various working conditions can be accurately reflected in real time, and potential quality problems can be found in time.

The invention relates to the technical field of cement prefabricated part production equipment, in particular to a cement prefabricated plate production device and method. Comprising a rack, and the rack is provided with a steel bar laying mechanism, a pouring and distributing mechanism, a precise vibrating mechanism, a forming and pressing mechanism and a conveying mechanism; the steel bar laying mechanism comprises a laying support, a moving assembly and a positioning assembly. The pouring and distributing mechanism comprises a storage bin and a grading and distributing assembly; the precise vibrating mechanism comprises a vibrating frame and a vibrating unit; the forming press-fit mechanism comprises a press-fit support, a press-fit driving assembly and a press-fit plate. According to the invention, the adjustable design of steel bar spacing is matched with the positioning assembly, so that the spacing of steel bars of different specifications is accurately adjusted, the steel bars are quickly placed at preset positions, and then the distribution amount of each area is adjusted according to the distribution of the steel bars through the grading distribution assembly to ensure sufficient slurry in the corresponding cement area; and the precise vibrating mechanism combines preset steel bar parameters to achieve differential vibrating, and the vibrating strength is enhanced in a steel bar dense area to guarantee sufficient slurry filling.

The invention relates to the technical field of box girder reinforcement framework machining, in particular to a bottom web stirrup integrated machining single-machine-head bending device and a forming method of the bottom web stirrup integrated machining single-machine-head bending device. The bending device comprises a straightening mechanism, a feeding and bending mechanism, a transferring mechanism, a welding device and a discharging mechanism. The straightening mechanism comprises a steel bar straightening machine; the feeding and bending mechanism comprises a bending platform, a bending head is arranged in the center of the bending platform, and a steel bar traction device is arranged between the bending head and the straightening mechanism. A reinforcing steel bar cutting device is further arranged between the bending head and the reinforcing steel bar traction device; a regular pushing device is arranged on one side of the bending platform; the transfer mechanism comprises a transfer gripper; the welding device is used for welding the stirrup meshes into an integrated structure; and the discharging mechanism comprises a discharging gripper. According to the bending device, all construction processes for producing the stirrup meshes are smoothly joined, the stirrup mesh bending operation is more efficient, the operation intensity of constructors can be reduced, and the production efficiency of the bottom web stirrup meshes is improved.

The invention discloses a hydropower station diversion tunnel longitudinal crack depth detection method, which comprises the following steps: arranging ultrasonic measuring points above and below a diversion tunnel longitudinal crack to obtain a reinforced concrete sound velocity representative value; arranging ultrasonic measuring points within the length range of the crack; performing ultrasonic detection, and judging the depth of the crack through ultrasonic waves; adjusting the position of the ultrasonic measuring point according to the depth of the fracture until the ultrasonic shape is in a suitable state; and calculating the depth of each detection point of the longitudinal crack. According to the technical scheme, by means of the method for detecting the longitudinal crack depth of the reinforced concrete in the diversion tunnel of the hydropower station through the ultrasonic waves, crack depth detection and calculation of the circular tunnel are completed, and in order to judge the development condition and the stability state of the crack, the crack depth can be regularly detected in the overhaul period of a hydropower station generator set; therefore, monitoring of longitudinal crack expansion and extension is realized.

The invention relates to the technical field of supply chain management, in particular to a digital visual management system and method applied to a building material supply chain. The method comprises the following steps: acquiring real-time position data, material attribute data and time sequence node data; performing data preprocessing and integration on the real-time position data, the material attribute data and the time sequence node data to obtain standard building material supply chain data; obtaining a construction drawing; basic building materials of the standard building material supply chain data are extracted based on the construction drawing, wherein the basic building materials comprise concrete, reinforcing steel bars and building blocks; building pouring abnormity monitoring is carried out based on the concrete, the steel bars and the building blocks, and pouring abnormity monitoring data is generated. Through multi-source data integration, ternary coupling analysis, scheduling optimization and three-dimensional dynamic visualization, the problems of information island, scheduling conflict and low management efficiency of the building material supply chain are solved, and intelligent, efficient and transparent management of the supply chain is realized.

The invention discloses a construction method for controlling perpendicularity and deviation of a steel latticed column inserted in a cast-in-place pile, and relates to the field of engineering construction. Secondly, cast-in-place pile hole forming and reinforcement cage construction are conducted; 3, inserting construction of the profile steel latticed columns is conducted; fourthly, concrete pouring is conducted; and step 5, quality monitoring and deviation processing. A three-level measurement system is constructed, and the pile position deviation is smaller than or equal to 3 mm; the straightness of the standard jig frame prefabricated latticed column is smaller than or equal to L / 1000 and smaller than or equal to 10 mm, and the perpendicularity of formed holes is controlled to be smaller than or equal to 1% through a rotary drilling rig; a three-dimensional guiding system and dynamic monitoring are utilized, the insertion deviation plane is smaller than or equal to 20 mm (the insertion deviation plane is smaller than or equal to 10 mm in a reverse construction method), and the perpendicularity is smaller than or equal to L A guide pipe method is adopted for concrete pouring, and a composite anti-floating measure is combined to prevent deviation; quantitative monitoring and staged processing are carried out in the whole process, fine control of the whole process is achieved, and precision and safety are improved.

The invention discloses a deep learning-based staged tension prestress long-term loss prediction method, which belongs to the field of deep learning, solves the problem of poor prediction result robustness of a traditional prestress measurement method, and comprises the following steps: obtaining bridge original data based on a standard drawing set and a bridge design specification; based on the construction environment conditions and the concrete age, concrete material attributes are calculated; based on bridge original data and concrete material attributes, finite element software is used for simulating prestressed reinforcement staged tensioning processes under different working conditions, and a bridge prestressed reinforcement staged tensioning loss data set is generated; and constructing a prestress loss prediction model based on the multi-layer perceptron neural network, processing the staged tensioning loss data set of the bridge prestressed reinforcement based on the prestress loss prediction model, and outputting a prediction result of long-term loss caused by shrinkage and creep of the prestressed reinforcement. According to the method, the stress loss of the prestressed reinforcement can be effectively predicted, and the prediction robustness and accuracy are improved.

The invention discloses an assembly type building node stress monitoring and design feedback system based on BIM, and relates to the technical field of building engineering structure monitoring, a building information modeling model is constructed, component geometric information, a connection mode and a load path associated with nodes are extracted, and a node mechanical attribute initial parameter set is formed; in combination with node real-time stress monitoring data, Fourier transform and wavelet decomposition are carried out, and frequency domain characteristic parameters are extracted; constructing a finite element correction model, and simulating a stress response path under a multi-load combination; the predicted stress peak value is compared with the actually measured stress peak value, structural abnormal nodes are identified, parameter optimization is executed according to node construction information, the component size, the steel bar anchoring length or the concrete grade are automatically adjusted, an optimized parameter set is generated and written back into a building information modeling model, and closed-loop correction is formed; continuous monitoring, abnormity diagnosis and intelligent optimization of the node stress state can be achieved, and the safety and the intelligent level of assembly type building structure design are improved.

The invention discloses a press-in type open caisson construction method based on an automatic control system. The automatic control system comprises a data acquisition module, a data analysis and decision module and an execution control module. The data acquisition module is used for collecting data in the sinking process of the open caisson in real time, the data analysis and decision module analyzes the collected data in real time and generates a control instruction, and the execution control module regulates and controls the pressure sinking equipment and the soil sampling equipment according to the control instruction; the construction method comprises the following steps: constructing a ground anchor pile; isolation pile construction; construction of the open caisson: surveying and setting out, excavating a foundation pit, laying a sand cushion layer, laying a concrete cushion layer, constructing a brick moulding bed, erecting a scaffold, erecting a template, binding reinforcing steel bars and pouring concrete; pressing and sinking the open caisson; according to the method, an automatic control system is adopted, various parameters in the open caisson construction process can be monitored and adjusted in real time, uniform sinking of the open caisson is achieved through accurate control over the parameters, and the construction precision and quality are improved.

The invention relates to the technical field of image recognition, in particular to a construction site-oriented reinforcing steel bar binding normativity visual detection method, which comprises the following steps of: driving a camera lens to shoot a focus stack image sequence covering the depth of field before and after a single binding node, extracting a linear contour, and obtaining a multi-dimensional image set of a binding area. According to the method, the focus stack image sequence covering the depth of field before and after the single binding node is shot by the driving camera, and the mapping of the line segment coordinates and the depth of the reinforcing steel bar is established, so that the problems of mutual shielding and depth confusion caused by staggered reinforcing steel bars in the construction site are solved; on the basis, a steel bar binding topology network diagram describing the connection relation between steel bar intersection points is constructed, discrete steel bar line segments and intersection point information are integrated into an overall network with a global structure relation, detection is not limited to isolated nodes any more, and evaluation can be conducted from systematicness and continuity of a whole steel bar framework.

The invention discloses a farm wall reinforcing device. Farm wall reinforcing equipment comprises an adjusting sliding frame, an even number of reinforcing devices are installed on the adjusting sliding frame, protective cover baffles are installed on the surfaces of the reinforcing devices, pouring mold clamping plates are arranged in the reinforcing devices, inner grooves are formed in the upper portions of the pouring mold clamping plates, and an even number of steel bar fixing frames are arranged between the inner grooves. A turnover sealing cover which is movably hinged is installed on the inner groove, a fixing steel bar is installed in the steel bar fixing frame, and an on-plate clamping groove is formed in the surface of the pouring mold clamping plate. The adjusting sliding frame is installed at the position of the root of a wall needing to be reinforced, then the reinforcing devices are installed on the adjusting sliding frame in a back-to-back mode, the reinforcing devices clamp the wall in a butt mode, then the threaded anchor rods are sequentially inserted into the pouring mold clamping plates in a matched mode to form opposite pulling, and the threaded anchor rods are clamped and fastened; and finally, after a wall inserting fixing rod, a wall body connecting clamp and a fixing steel bar are inserted, concrete is poured into a guiding and conveying groove, the concrete and the wall body are combined and solidified, and the reinforcing work of the wall body is completed.

The invention relates to the technical field of traffic infrastructure maintenance, and particularly discloses a method for evaluating the anti-collision toughness of a rusted steel bar bridge structure after ship collision, and the method comprises the following steps: firstly, building a rusted bridge pier finite element model based on a rusted steel bar concrete theoretical degradation model; simulating ship collision by adopting an equivalent static method, and determining dynamic damage factors of the ship; structural nonlinear static analysis and nonlinear dynamic analysis are conducted by considering sudden external force to obtain a bridge function loss function, and then a bridge function is calculated; constructing a response surface agent model to perform dynamic response prediction; determining a bridge structure damage state judgment criterion; the vulnerability of the rusted bridge is calculated through Monte Carlo simulation; and according to the bridge function loss function, combining the repair time and the recovery function to calculate a structure anti-collision toughness index. The method provided by the invention fills up the blank of ship collision resistance toughness evaluation of the coastal rusted bridge pier, provides a scientific basis for bridge safety evaluation and maintenance decision, and is of great significance for guaranteeing safe operation of the bridge.

The invention provides a seamless construction method and system for an ultra-long reinforced concrete structure, and relates to the technical field of concrete structure construction.The method comprises the steps that the length of the ultra-long reinforced concrete structure is judged, and when the one-way length of the structure is larger than a preset seamless control length threshold value, a target structure area is recognized; structural shrinkage deformation and temperature deformation analysis is carried out, and a target expansion reinforcing band is determined; determining a target concrete mix proportion decision; and after shrinkage-compensating concrete is poured, the construction state of each construction section is monitored in real time, the mixing amount of the expanding agent and the pouring sequence are fed back and adjusted, and seamless continuous construction is completed by alternately pouring internal and external concrete. The technical problems that in the prior art, post-cast strip construction is generally adopted and can only be carried out after initial concrete shrinkage is basically stable, the whole construction period is remarkably prolonged, the influence of external factors is likely to happen, and the construction period is further delayed are solved.

The present invention proposes an intermediate diaphragm-free, suspended formwork-free, and negative moment tooth block-free beam bridge, and a design method thereof. The beam bridge includes prefabricated main girders, a wet joint, lower structures, and pier cap transverse beams above the lower structures. The concrete deck slabs of adjacent prefabricated main girders are connected by the wet joint. The design method of the above beam bridge includes the following steps: S1, initial design of the main girders; S2, calculation of the non-uniform deflection of the main girders and the indirect transverse stress of the deck slabs; S3, calculation of the direct transverse stress of the deck slabs; S4, crack resistance verification of the deck slab; S5, optimization of bridge parameters to reduce the stress on the driving surface; S6, completion of the beam bridge design. The beam bridge and its design method effectively solve the problem that the existing intermediate diaphragm-free beam bridge is prone to longitudinal cracking at the joints, and realize the suspension tension without the wet joint suspended formwork of the deck slab and the negative bending moment tendon, and have better mechanical properties and better economic, environmental and social benefits, which can facilitate the promotion and application of such bridges in various types of highways , railways and municipal engineering.

The invention provides a reinforcing mesh multi-welding-spot quality detection method and system based on infrared thermal imaging. Wherein for each crossed steel bar welding spot, the fusion form of the crossed steel bar welding spot is identified based on the thermal radiation image; based on the fusion forms of all the crossed steel bar welding spots, quality detection results of the multiple welding spots of the steel bar mesh are generated, and the quality detection results comprise geometric judgment results used for representing whether the fusion forms meet preset form requirements or not; and according to the quality detection result, a corresponding early warning mode is adopted for self-adaptive early warning, and welding parameters adopted by the next electric resistance welding process are adjusted according to early warning information. According to the technical scheme provided by the invention, millisecond-level multi-welding-spot synchronous quality detection and process closed-loop optimization are realized, and the production yield and the process adaptability of the large reinforcing mesh are greatly improved.

A waterfront soft soil area landscape pier precast pile comprises a concrete precast pile, the concrete precast pile comprises a pile top, a pile body and a pile tip, a steel reinforcement framework is arranged in the concrete precast pile, a drainage system and a grouting reinforcement system are arranged in the concrete precast pile, and the waterfront soft soil area landscape pier precast pile comprises a grouting pipe which longitudinally penetrates through the pile body from the pile top to the position above the pile tip. The top end of the grouting pipe extends out of the surface of the pile top to facilitate later grouting, the surface of the grouting pipe is connected with a grouting pipe branch pipe, the grouting pipe branch pipe extends out of the surface of the pile body in the radial direction, an included angle of 10-20 degrees is downwards formed between the grouting pipe branch pipe and the surface of the grouting pipe, and grout is sprayed along the inclined angle to form a mushroom-shaped reinforcing area to completely wrap the lower middle portion of the pile body. And the reinforcing area and the pile body form an integral collaborative stress body, so that the pile end resistance is further improved, and meanwhile, continuous consolidation settlement caused by excess pore water pressure is inhibited.

Disclosed in the present invention are a prefabricated composite floor slab and steel bar truss floor deck directly utilizing old slabs, and a method. The prefabricated composite floor slab comprises new concrete, old concrete slabs, a slab bottom reinforcing mesh, a slab surface reinforcing mesh, steel bar trusses, steel dowel bars, and post-cast concrete. The steel bar truss floor deck comprises new concrete, old concrete slabs, a steel base plate, a slab surface reinforcing mesh, steel bar trusses, steel dowel bars, and support steel bars. According to the present invention, the old concrete slabs are directly utilized instead of being crushed into recycled blocks or recycled aggregates for reuse, thereby greatly simplifying processing procedures, significantly increasing the recycling rate of old concrete, and significantly reducing the usage amounts of new concrete and corresponding cement, thus achieving a significant carbon emission reduction effect; through holes are vertically drilled in the old concrete slabs, the steel dowel bars are inserted into the through holes, gaps between the steel dowel bars and the through holes are then filled with a high-strength grouting material, and shear resistance members are arranged on the side edges of the old concrete slats to enhance the shear resistance at the interface between the new concrete and the old concrete.

The invention discloses a mixed tower wind turbine generator FRP-concrete-steel combined tower drum and a construction method.The tower drum comprises a steel tower section and a mixed tower section, the steel tower section is installed on the upper portion of the mixed tower section, the mixed tower section is composed of a plurality of tower drum sections which are sequentially connected from top to bottom, and each tower drum section is formed by combining a plurality of arc-shaped tower drum ring pieces in a surrounding mode; the tower drum ring pieces in the same tower drum section are fixedly connected, vertical joints between the vertically adjacent tower drum sections are installed in a staggered mode, and each tower drum ring piece comprises a reinforced concrete main body part, an inner steel pipe part and a CFRP cloth wrapping section arranged on the outer side of the reinforced concrete main body part. And the reinforced concrete main body parts and the inner steel pipe parts of the upper and lower adjacent tower drum sections are respectively connected, so that the adjacent tower drum sections are mutually fixed. The compressive strength and ductility of the wind power tower cylinder concrete can be improved, larger deformation is generated before the structure is damaged, more energy is absorbed, brittle failure is avoided, complex steel bar configuration is avoided, and the construction difficulty is reduced.

The invention discloses a multi-mode unmanned aerial vehicle system and method for detecting the thickness of a bridge concrete protection layer. The system comprises a multi-mode unmanned aerial vehicle platform, a contact type mechanical arm, an electromagnetic induction steel bar detection module, a wireless data transmission module, an area array laser radar module and a binocular camera module. The contact type mechanical arm is installed on the unmanned aerial vehicle platform and used for executing contact type nondestructive testing. The electromagnetic induction steel bar detection module is installed at the tail end of the contact type mechanical arm and used for making contact with the bridge surface and measuring the thickness of a steel bar protection layer. The wireless data transmission module is installed on the unmanned aerial vehicle platform and used for returning the video of the view angle of the unmanned aerial vehicle to the ground station operation platform in real time, and the ground station operation platform observes and controls the unmanned aerial vehicle according to the returned video; the area array laser radar module is installed below the contact type mechanical arm and used for carrying out pose estimation and obstacle avoidance during adsorption mode switching. The binocular camera module is arranged at the front end of the contact type mechanical arm and used for collecting images of a detected area and conducting unmanned aerial vehicle autonomous positioning.

The invention discloses a cast-in-place beam steel bar truss floor support plate installation construction quality control method and system based on BIM and VR. The method comprises the following steps of BIM three-dimensional modeling, construction scheme simulation, VR scene building, 3D scanning and model comparison, unmanned aerial vehicle cruise monitoring and real-time interaction and cooperative management. A whole-process, visual and interactive construction quality control system is constructed, so that constructors can intuitively and clearly know details such as spatial positions and connection modes of all components, the understanding difficulty is greatly reduced, and construction errors caused by drawing understanding deviation are effectively reduced; scheme simulation optimization before construction of the steel bar truss floor support plate, real-time dynamic monitoring in construction and efficient collaborative management of all construction parties are realized, so that the construction quality risk is pre-judged in advance, the construction deviation is corrected in time, and the accuracy and efficiency of construction quality control are improved; the construction cost is reduced, the construction period is shortened, and the construction quality of the steel bar truss floor support plate meets high-standard requirements.

The invention provides a method for detecting the quality of a foundation steel bar welded joint, and belongs to the technical field of steel bar welded joint quality detection.The method comprises the steps that a stress distribution matrix is obtained through ultrasonic detection equipment, and a fatigue distribution matrix is established in combination with a fatigue analysis algorithm; a stress fatigue correlation analysis method and a bipartite graph maximum matching algorithm are used to construct a stress fatigue correlation matrix, a damage evaluation deep learning model based on a Transform architecture is used to generate a damage distribution matrix, and a time sequence prediction algorithm is used to consider a fatigue center change effect to establish a damage expansion trend matrix. A damage prediction matrix is deduced through a damage prediction deep learning model of a bidirectional long-short-term memory network, and finally, a quality detection result matrix is comprehensively evaluated and output by utilizing a game model, a multi-objective optimization algorithm and a gating weighting function, so that the technical problem that the quality detection accuracy of the steel bar welded joint is not enough is solved.

The invention relates to the technical field of welding automation, and discloses an intelligent welding system for an electric pole steel reinforcement framework. The system comprises a welding execution module, a multi-mode sensing module, an edge calculation module, a real-time regulation and control module and a system control center. Synchronous collection and real-time analysis of images, temperature and sound signals of a welding pool area are achieved, so that defects such as air holes, slag inclusion and incomplete fusion can be recognized online in a key time window when the welding pool is not solidified, and time delay caused by a traditional off-line detection mode is thoroughly eliminated. Through a real-time regulation and control module, on the basis of a multi-target optimization decision and parameter self-adaptive adjustment mechanism, the system can dynamically adjust key process parameters such as welding current, arc voltage and welding speed at the moment of identifying defect germination or process deviation, and real-time intervention and closed-loop control on welding quality are achieved; therefore, the final formation of defect welding seams is avoided fundamentally, and the rework rate and the material waste are remarkably reduced.

The invention discloses reinforcement cage welding equipment for bridge construction, and relates to the field of reinforcement cage welding, the reinforcement cage welding equipment comprises a welding main plate, the bottom of the welding main plate is provided with supporting legs I, the top of the welding main plate is provided with a visual sensor for monitoring the position of a welding spot, and the inner wall of the welding main plate is provided with a rotating unit; the guide unit works in cooperation with the rotating unit, the distance control assembly is arranged at the end, close to the welding main plate, of the guide unit, firstly, a main steel bar needs to be put into the wire guide unit, the guide unit can control axial movement of the main steel bar, and meanwhile the rotating unit can start to rotate and wind a secondary steel bar on the main steel bar; afterwards, the distance control assembly can control the winding distance of the secondary steel bars, and welding is carried out when the distance has no deviation.

The invention discloses a numerical simulation method and system for corrosion expansion cracking of reinforced concrete based on near-field dynamics, and relates to the technical field of numerical simulation of civil engineering materials. Discretizing a concrete calculation area into a near-field dynamic material point model to form a discrete model; applying boundary conditions to the discrete model; establishing a mapping relation between the material point damage degree and the erosion coefficient; acquiring chloride ion concentration distribution and oxygen concentration distribution of the discrete model at the current time step, and judging whether the chloride ion concentration of the surface of the steel bar reaches a blunt removal threshold value or not; if the reinforcing steel bar is blunt, obtaining a displacement field of the model at the current time step and the damage degree of each material point, and updating the erosion coefficient of each material point in the model; according to the method, a crack path does not need to be preset, initiation and expansion of complex cracks can be naturally described, the problem of singularity of a crack tip and the problem of convergence do not exist, damage behaviors such as brittle fracture and peeling of concrete can be simulated, and extra constitutive adjustment and model adjustment are not needed.

The invention relates to geotechnical engineering pile foundation equipment, in particular to intelligent cast-in-place pipe pile equipment integrated with a multi-source sensor and a construction method. A spiral sleeve; a double-layer sleeve wall protection system; an outer sleeve anti-rotation pressing system; and a pile core soil anti-rising telescopic system and the like. The intelligent PCC pile construction equipment integrates torque, rotating speed, drilling speed, drilling pressure and other multi-source sensors and an artificial intelligence algorithm to achieve intelligent sensing and control over a pile machine, efficient combined soil spinning of a spiral sleeve and a double-layer sleeve wall protection system is achieved through a hollow rotating power equipment system, an annular cavity is rapidly formed, a reinforcement cage is put down, concrete is poured to form a PCC pile, and the construction efficiency of the PCC pile is improved. Finally, the inner sleeve and the outer sleeve of the double-layer sleeve wall protection system are pulled out in a vibrating mode at the same time under the action of the winch up-pulling system, and the inner sleeve and the outer sleeve are in butt joint and reset with the annular rotary excavating soil taking system, the problems that a traditional PCC pile is limited in application in complex stratums and a reinforcement cage cannot be put down are solved, and the construction intelligence is achieved.

The invention relates to a bridge tower component reinforcing steel bar intelligent hoisting control method, which belongs to the technical field of bridge construction, and comprises component reinforcing steel bar butt joint, and specifically comprises the following steps: S601, conical permanent magnet array modules are circumferentially embedded in the end surfaces of component reinforcing steel bars, and annular electromagnet array modules are correspondingly arranged on the end surfaces of embedded reinforcing steel bars; on the basis of the fusion parameter set in the step S2, obtaining the distance value between the embedded steel bar and the component steel bar, and then triggering an electromagnet to be powered on; s602, closed-loop feedback adjustment is conducted, the pose deviation and contact pressure of the component reinforcing steel bars and the embedded reinforcing steel bars are monitored in real time through a multi-mode sensing unit, and data are transmitted back to the edge computing nodes; and S603, electromagnetic parameter dynamic optimization is conducted, the current intensity of the annular electromagnet array is dynamically adjusted according to the pose deviation and the spacing value, and the magnetic attraction force is enhanced. Efficient and accurate butt joint of the component reinforcing steel bars and the embedded reinforcing steel bars is achieved through magnetic butt joint and dynamic current adjustment.

The invention provides a reinforcing beam reinforced by adopting an out-of-service wind power blade and a method for determining the bending rigidity. According to the reinforcing beam, a plurality of grooves are formed in at least one surface of a reinforced concrete beam; the reinforcing layer comprises reinforcing ribs and a cement-based composite matrix, a plurality of protrusions are arranged on the surface of the cement-based composite matrix, the protrusions are arranged at intervals in the length direction of the cement-based composite matrix, and the protrusions are correspondingly embedded into the grooves, so that the reinforcing layer is connected with the reinforced concrete beam to obtain a reinforced concrete reinforced beam; wherein the reinforcing ribs are obtained by disassembling and cutting a main beam of the retired wind power blade. According to the reinforcing beam, the combining capacity of the reinforced concrete beam and the reinforcing layer is high, mutual slippage is avoided, the retired wind power blade composite material resources are utilized, the environment is protected, and the cost is saved while high-performance reinforcing treatment can be conducted on the damaged reinforced concrete beam structure or the reinforced concrete beam structure with insufficient bearing capacity.

The invention belongs to the technical field of tunnel engineering and hydrogeological engineering, and particularly relates to a tunnel underground water pressure-limiting discharge management system and method based on data driving. A tunnel underground water pressure-limiting discharge management system based on data driving comprises a monitoring module, a processing module, a control module and an execution module. The monitoring module is used for collecting contact pressure, water pressure, steel bar stress, steel arch internal force, lining displacement, steel bar strain, underground water level and water turbidity as multi-source monitoring data; the contact pressure comprises the contact pressure between the primary support and the secondary lining and the contact pressure between the primary support and the surrounding rock. And the processing module is used for dynamically adjusting the weight coefficient of each monitoring index through an adaptive particle swarm optimization algorithm according to the multi-source information, and calculating a comprehensive early warning index # imgabs0 #. According to the scheme, through multi-source data real-time monitoring and self-adaptive algorithm dynamic adjustment, accurate drainage early warning is achieved, the structural risk is reduced, and safety and reliability are improved.