3229 results about "Stress concentration" patented technology

The invention discloses a wind turbine generator hoisting construction tower drum operation system and a construction method thereof, and relates to the technical field of intelligent control. The problems that in the prior art, a static tension balance mechanism cannot restrain bending moment abrupt change, steel-concrete interface stress concentration causes microcrack propagation, the wave dynamic load compensation capacity is insufficient, and dynamic rigidity attenuation early warning is lacked are solved. Comprising a dynamic load prediction module, a multi-mode vibration suppression module, an offset compensation module and a digital twinborn decision module, a hoisting load is solved in real time through a multi-physics field coupling model and an improved time sequence deep learning algorithm, and interface crack propagation is suppressed in combination with traveling wave offset control and sweep frequency vibration. An improved Morison equation is adopted to drive a two-stage hydraulic servo to compensate a wave dynamic load, and a digital twin closed-loop correction mechanism is constructed based on a 5G URLLC protocol; the tower drum hoisting precision, the structural safety and the operation reliability under the complex working condition are remarkably improved.

The invention provides an intelligent real-time detection method and system for PCCP welding quality, and relates to the technical field of online detection and intelligent evaluation of pipeline welding quality through machine learning. Light energy data and multi-light-source images of a spiral weld pool are collected, exposure parameters are dynamically adjusted through the energy difference of visible light near-infrared bands, and the real-time detection of the PCCP welding quality is achieved. Inhibiting strong light interference and generating a weld surface image; a stress concentration area is positioned by scanning a welding seam thermal deformation area and combining speckle pattern change, sound frequency change and the elastic characteristic of the thin-wall steel cylinder; inputting the surface image and the deformation data into a space-time convolutional neural network, fusing light energy change, image details and spatial features to construct a weld joint space structure diagram, and adaptively correcting the position of a sensor; and comparing the sinking depth of the three-dimensional point cloud reconstruction, analyzing the correlation between the sinking degree and the stress, and generating a probability thermodynamic diagram to output the pressure-bearing failure risk level, so that the probabilistic early warning of the pressure-bearing failure risk can be realized.

The invention relates to a grid steel structure node failure diffusion prediction method, which comprises the following steps of: forming a failure inducement and evolution path model according to a connection form of a bolt-sphere node and a welding node, a stress transfer path, node local yield and fatigue accumulation factors; a diffusion logic of node failure-force flow redistribution-adjacent node stress concentration-chain reaction is constructed; nodes are regarded as middle points of the graph, rod pieces are regarded as edges, and propagation weights between the nodes are defined; the weight parameters are dynamically assigned based on material attributes, node connection types, spatial geometric positions and historical stress states; multi-source monitoring sensors including strain gauges, displacement meters, thermometers and accelerometers are arranged at key nodes of the grid structure, so that node states are sensed; in combination with real-time monitoring data, extracting strain rate change, vibration characteristics, frequency drift and residual deformation key characteristics of each node; a node health state feature vector set is constructed by using time sequence analysis, and the gradual degradation trend of nodes is reflected.

The invention relates to the technical field of intelligent control, in particular to a composite material forming process intelligent control system which comprises a micro-scale deformation detection module, a stress offset correction module, a temperature gradient regulation and control module, an interlayer curing balance module and a forming intelligent control execution module. According to the method, a deformation rate sudden change area is accurately positioned through micro-scale detection, and stress concentration is found in advance, so that stress adjustment is more targeted, the local stress overload influence is reduced, real-time pressure feedback is combined with target pressure offset analysis to optimize a loading mode, uniform stress in the curing process is ensured, and the defect risk is reduced; high-precision temperature gradient monitoring and thermal diffusion rate analysis improve temperature control precision and improve interlayer temperature equilibrium, curing rate change rate calculation and heat conduction path optimization dynamically adjust a heat dissipation channel and promote uniform curing, stress-temperature distribution equilibrium degree analysis is combined with a deformation trend to optimize heating and pressure parameters, and uniform curing is achieved. And the forming stability and the quality consistency are improved.

The invention provides an on-line monitoring method and system for crack propagation of silicon-based new material equipment in a high-temperature environment, and relates to the technical field of crack detection, and the method comprises the steps: collecting stress distribution data through arranging a stress sensor, and generating a stress field distribution diagram by using an attention mechanism deep neural network model; identifying a stress concentration region based on a region growing algorithm, when a stress value exceeds a preset threshold value, acquiring temperature distribution data, extracting temperature distribution characteristics through a deep mixed probability model, performing multi-modal data fusion in combination with a stress field distribution diagram, and establishing a crack propagation prediction model by using a graph structure neural network. The crack propagation rate and direction are solved through a swarm intelligence optimization algorithm, when the crack propagation rate exceeds a preset threshold value, a control system adjusts equipment operation parameters, the sampling frequency of a sensor is adjusted according to the crack propagation direction, and model parameters are updated through an incremental learning method to achieve real-time monitoring.

The invention relates to a settlement data analysis and early warning method based on a cloud platform, and the method comprises the steps: collecting settlement data of a basic part of a main transformer in real time through a high-precision electronic settlement observation device array, obtaining deformation stress data through data preprocessing and coordinate calculation, and uploading the deformation stress data to the cloud platform; transmitting an ultrasonic pulse signal to the stress concentration position of the local area through ultrasonic detection equipment, receiving reflected wave data, and identifying the depth and range of the crack initiation position according to the reflected wave data; a sensor array is arranged on the basic surface of a crack initiation position, sound wave signals released in the crack propagation process are captured, and a time sequence of the crack propagation direction and speed is determined; and detecting crack depth data of the repair priority region through ultrasonic waves, calculating an adjusted basic health state value, comparing the adjusted basic health state value with a preset safety threshold, and generating a corresponding safety early warning signal.

The invention relates to the technical field of mine safety monitoring, and discloses a roadway surrounding rock stability evaluation method, which comprises the following steps: step 1, collecting roadway surrounding rock geological data, step 2, constructing a three-dimensional geomechanical model, step 3, inverting mechanical parameters, step 4, calculating a stability coefficient, and step 5, outputting an evaluation result. According to the method, rock mass types, structural plane occurrence, crustal stress vectors and permeability parameters are integrally collected through geological radar scanning, drilling coring and crustal stress measuring devices, the problem of model distortion caused by single data in a traditional method is solved, deformation of a stress concentration area is accurately captured by adopting a non-uniform grid division strategy, inversion mechanical parameters are combined, and the method is suitable for large-scale popularization and application. The network is trained by using in-situ direct shear and triaxial test data, the inversion efficiency is improved compared with manual trial and error, the whole surrounding rock fracture process is simulated based on a finite element-discrete element coupling algorithm, plastic zone distribution and a comprehensive index S are output, and automatic judgment of the stability level is realized.

The invention relates to a thermal insulation evaluation method for a light recycled building block based on thermal coupling simulation, which comprises the following steps: modeling the recycled building block into a heterogeneous multiphase complex, and introducing a three-layer structure field of micro pores, mesoscopic aggregates and macroscopic blocks; a partition coupling strategy is adopted, a microstructure variability-heat flux density disturbance-stress field reconstruction causal chain is constructed, and macroscopic thermal insulation performance fluctuation caused by thermal deformation is captured; tracking a thermal stress concentration area caused by temperature difference change through thermal and force coupling simulation; analyzing the influence of a thermal stress migration path on local structure integrity, pore change and crack evolution; constructing a thermal stress and structure disturbance factor framework, and evaluating the influence degree of the structure local deformation on the thermal resistance; extracting high-dimensional feature data; establishing a heat and force characteristic space; constructing a response surface equation, and mapping a change track of the thermal insulation performance in a heat and force coupling response space; a time and structure response composite scoring system is formed, real coupling of multiple physical fields is achieved, and limitation of traditional evaluation is broken through.

The invention relates to the technical field of alloy die-casting, and particularly discloses an alloy die-casting temperature field control method and system capable of reducing hot cracks, temperature gradients of different areas of a die are adjusted in real time according to flowing and solidification characteristics of alloy liquid, so that the surface temperature distribution of the die is matched with the solidification rate of the alloy liquid, and the alloy die-casting temperature field is controlled. Utilizing a machine learning algorithm to predict a risk area where hot cracks are generated on the basis of historical data and real-time monitoring data, and dynamically adjusting the flow velocity of a cooling system, the heating power of a die or die-casting process parameters according to a prediction result; through dynamic temperature gradient control, intelligent prediction and feedback control, a cooling strategy, a stress release mechanism and a real-time monitoring and optimizing process, thermal stress concentration can be effectively reduced, the possibility of generation of thermal cracks is reduced, the yield of castings is improved, the cooling time of the castings can be shortened through the cooling strategy, and therefore the production efficiency is improved, and the production cost is reduced. And reworking and scrapping of castings are reduced.

The invention relates to a stamping die service life dynamic evaluation system and method based on multi-mode sensing. According to the system, a feature extraction module obtains stress distribution data and crack position information and inputs the data into a trained three-dimensional stress field model to obtain dynamic feature parameters of a stress concentration area under high-frequency cyclic loads; the crack prediction module judges the dynamic characteristic parameters based on a preset threshold value, and once the dynamic characteristic parameters exceed the preset threshold value, analysis is carried out according to the mapping relation between the stress level and the crack rate and the microstructure evolution rule at the same time, and a crack propagation prediction value is generated. And the service life evaluation module inputs the crack propagation prediction value into the trained health state evaluation model, and finally the service life evaluation value of the stamping die is obtained. The service life evaluation value of the stamping die under the existing working condition and the operation condition is accurately estimated, the production efficiency is effectively improved, the production cost is reduced, the potential crack risk of the die is perceived in advance, and accurate and dynamic die service life evaluation is achieved.

The invention provides a finite element-based method for estimating pulling-out ultimate bearing capacity of a grouting screw anchor in gravelly soil, and relates to the technical field of civil structure engineering.A three-dimensional finite element model containing the grouting screw anchor and surrounding gravelly soil is established, model parameters cover the structure and material characteristics of the grouting screw anchor, and the grouting screw anchor and the surrounding gravelly soil are subjected to finite element modeling; a coordinate axis is established with the center of the anchor bottom as an original point for grid division, a stress concentration area is analyzed, principal stress is calculated to serve as critical bearing stress, vertical pull-out loads are applied step by step through a grouting pull-out test, a pull-out stress influence area is determined, soil stress of the area is analyzed, and soil binding power and friction force are calculated. And a grouting coefficient and a rock crack coefficient are generated, soil parameters are corrected, and the ultimate pulling bearing capacity of the grouting screw anchor is comprehensively obtained. According to the method, the pulling ultimate bearing capacity of the grouting screw anchor is accurately evaluated by establishing the three-dimensional finite element model and the graded loading experiment.

The invention provides an air tightness optimization method for a soft pressurization cabin, and the method comprises the steps: presetting a dynamic sensor array at a specific position where a structure is liable to fail according to a failure risk assessment table, collecting stress concentration data caused by non-uniform pressure distribution in real time, and generating a stress distribution dynamic graph containing a time sequence; the dynamic adjusting device is driven to operate through the homogenized pressure distribution adjusting scheme, pressure field data in the cabin body is updated in real time, whether material fatigue is within the fracture risk range or not is judged, and a fatigue state monitoring report is generated; obtaining a fracture risk index in the fatigue state monitoring report, carrying out iterative adjustment on the fiber weaving density and the elastic modulus of the key area by adopting a material design optimization algorithm, and determining a final structure layout parameter for improving the performance; and extracting a limiting condition of dynamic adjustment difficulty from the final structure layout parameters, simulating a cabin operation state in an extreme environment through a digital twin technology, calculating a boundary value of performance limitation, and obtaining a verification result of performance improvement.

The invention discloses a tunnel monitoring method and system based on a vibrating wire sensor, and relates to the technical field of tunnel engineering construction safety monitoring, and the method comprises the steps: collecting the vibration frequency data and spatial position coordinates of the vibrating wire sensor in a monitoring region; the method comprises the following steps: calculating a time difference and an energy attenuation ratio between adjacent sensors by extracting spectrum energy density distribution, and constructing a stress wave propagation field; dividing grids in the propagation field to calculate node stress values, generating a stress field distribution cloud picture and extracting a stress concentration area; calculating a gravity center position coordinate change rate and a stress time sequence curve of the stress concentration area, and determining fracture extension parameters; and calculating a surrounding rock bearing capacity attenuation curve based on the parameters, and outputting an early warning signal when the slope exceeds a threshold value. According to the invention, real-time monitoring and early warning of the tunnel surrounding rock instability risk are realized.

The invention relates to the technical field of monitoring, in particular to a method and system for detecting and evaluating the corrosion risk of an offshore wind power steel structure. The method comprises the following steps: acquiring corrosion environment parameters and corrosion response parameters of a corrosion area in the offshore wind power steel structure; according to the corrosion environment parameters and the corrosion response parameters, the real-time corrosion rate of the corrosion area is determined; determining a local stress concentration factor of the corrosion area according to the three-dimensional scanning characteristics of corrosion deposits in the corrosion area; the dynamic pressure parameters of the marine environment serve as dynamic boundary conditions, the real-time corrosion rate and the local stress concentration factor serve as the basis, and the structural rigidity degradation amount of the steel structure in the corrosion area is determined through finite element iteration; according to the structural rigidity degradation amount, the structural safety coefficient of the steel structure in the corrosion area is determined; and determining the corrosion risk of the steel structure in the corrosion area according to the dynamic pressure fluctuation range of the marine environment and the structure safety coefficient of the steel structure in the corrosion area.

The invention provides a coal seam surrounding rock stability monitoring method based on micro-seismic monitoring, which relates to the technical field of coal seam surrounding rock stability monitoring and comprises four steps of micro-seismic sensor network arrangement, real-time data acquisition and processing, surrounding rock stability evaluation model construction and real-time early warning and feedback of coal seam surrounding rock stability. According to the invention, a roof-side wall-support body cooperative monitoring architecture is adopted to cooperate with the micro-seismic sensor, and three-dimensional sensing network deployment is established, so that the micro-fracture activity in the surrounding rock of the whole stope can be continuously monitored in real time in a three-dimensional space full-coverage manner, the limitation of traditional point-type monitoring is overcome, and the dynamic evolution law of the micro-seismic activity is analyzed, so that the micro-fracture activity in the surrounding rock of the whole stope can be monitored in a real-time manner. According to the method, before macroscopic physical damage occurs, an area with abnormal stress concentration and accelerated damage accumulation can be identified, advanced early warning is realized, and precious time is gained for active prevention and control.

The invention discloses a rock nanoindentation numerical simulation method based on PFC discrete elements, and relates to an unconventional natural gas reservoir fracturing technology. Comprising the following steps: dynamically loading an iterative matching load-displacement curve based on XRD-SEM-EDS mineral spatial distribution of a rock sample and single mineral nanoindentation experimental data microscopic parameters; in combination with mineral space distribution data, constructing a multi-mineral heterogeneous model by stages, and dynamically loading simulation; based on crack number development, force chain distribution and particle displacement vector characteristics, a regulation and control mechanism of a mineral interface coupling effect and pore stress concentration on a crack propagation path is quantitatively analyzed. According to the invention, a heterogeneity evolution mechanism of force chain development and crack propagation in each stage of loading, load holding and unloading can be analyzed, and a dynamic mechanism that mineral components and pore structures cooperatively regulate and control a crack propagation path and nonlinear load response is disclosed; and a solution path is provided for rock microscopic damage mechanism prediction and heterogeneous material discrete element numerical simulation modeling.

The invention discloses a tooth-shaped structure of a bolt fixing tool. The tooth-shaped structure comprises a drive part, a looping part is concavely arranged inside the drive part; the inner periphery of the looping part is a hollow structure and is approximately a polygonal structure, the intersectional angle between edges of the polygonal structure of the looping part are respectively provided with an escape groove, the escape groove is a recessed arc structure, an opening of the escape groove and an opening of the adjacent escape groove take on a straight edge, the straight edge is a lank line section; a top surface is respectively arranged at the center of the straight edges between two adjacent escape grooves, the top surface is in a planar straight line section structure, the top surface is arranged at the straight edge between the two adjacent escape grooves and is superposed on the straight edge; a first groove and a second groove are respectively recessed between the escape groove and the top surface, the first groove is closer to the escape groove, the second groove is closer to the top surface, the first and the second grooves are arranged in line symmetry with another first and second grooves; based on the intermediate vertical line of the distance between the two side walls of the escape groove with the arc structure, the first and the second grooves are arranged in line symmetry with another first and second grooves by the central vertical line of the distance between the two side walls of the arc structure of the escape grooves. The tooth-shaped structure of a bolt fixation tool can not cause slipping and bruting of the bolt fixing part resulting from the stress concentration of point contact.

The invention discloses a galvanized steel sheet blanking and shearing device and a working method thereof, and relates to the technical field of shearing devices. According to the galvanized steel sheet blanking and shearing device and the working method thereof, the galvanized steel sheet blanking and shearing device comprises a shearing machine main body, a lower shearing knife arranged on the shearing machine main body and an upper shearing knife vertically arranged on the shearing machine main body, a dynamic material supporting mechanism is arranged on the shearing machine main body, and the dynamic material supporting mechanism comprises a first rotating seat and a second rotating seat, and the two first rotating seats are arranged on the shearing machine main body. Through the design of the dynamic material supporting mechanism, accurate dynamic material supporting of a sheared steel plate is achieved, and the problems of shearing opening size deviation, stress concentration and the like caused by the fact that the steel plate droops due to gravity in the existing shearing process are solved; the material supporting assembly synchronously ascends at the moment of shearing, it is ensured that the steel plate is supported in time, and falling deformation or impact on equipment is avoided.

The invention discloses a digital manufacturing method and system for a bracket node in a steel structure column, and relates to the related field of digital manufacturing of building components, and the method comprises the steps: collecting three-dimensional point cloud data of a bracket node connection region in a target steel structure column; stress concentration analysis is conducted in the vertical direction and the horizontal direction, and a key welding point set and a bolt hole site set are marked; lightweight design parameters of the bracket supporting structure are introduced, load stability analysis is conducted, and first assembly parameters are configured; traversing M bracket nodes in the target steel structure column to obtain a first assembly parameter to an Mth assembly parameter, and configuring a digital manufacturing instruction sequence in combination with the three-dimensional point cloud data; and inputting the data into a numerical control machining center, and driving multi-axis linkage equipment to manufacture and manage the bracket node. The technical problems that existing bracket joint manufacturing is low in efficiency and insufficient in precision and stability are solved, and the technical effects that the manufacturing efficiency is improved, the manufacturing precision and stability are improved, and powerful support is provided for energy-saving building material production are achieved.

The invention relates to the technical field of coal mine safety mining, and discloses a coal mine roadway high-stress area unloading-to-suction danger relieving method which comprises the following steps: step 1, a pressure relief stage: drilling holes in a roadway high-stress area to form a pressure relief channel; 2, a transfer stage, wherein stress is transferred to the deep part of the coal rock mass through the layout of the drill holes; and (3) an energy absorption stage: an energy absorption device is installed in the drill hole, the device comprises an outer steel pipe, an internal high polymer material and a monitoring element, the diameter of the drill hole in the step (1) is 50-150mm, the depth of the drill hole is 5-20m, a one-time hole forming process is adopted for construction, and the drill hole is formed in a high stress concentration area which is 6-20m away from the surface of the roadway and is arranged at intervals in the axial direction of the roadway. By constructing a pressure relief-transfer-energy absorption three-stage synergistic effect system, the whole-process dynamic regulation and control of the surrounding rock stress of the roadway is realized, and the problem that the pressure relief effect is uncontrollable due to the fact that a stress transfer path is not clear in the prior art is effectively solved.

The invention provides a thermal interface material based on vinyl imidazole ionic liquid as well as a preparation method and application of the thermal interface material. The thermal interface material is prepared from the following raw materials: the vinyl imidazole ionic liquid, a heat-conducting filler subjected to surface treatment by a silane coupling agent, an initiator and a cross-linking agent. The thermal interface material is based on the vinyl imidazole ionic liquid and the heat-conducting filler, the limitation of a traditional thermal interface material base body is broken through, dispensing can be achieved, no solvent is needed in the preparation process, the adverse effect of solvent residues on the performance of a chip when the thermal interface material is applied to the chip subsequently can be avoided, and the thermal interface material has ideal interface bonding strength; the heat conduction effect is remarkable and stable, the heat stability is good, the material can be well attached to an interface, the problems of stress concentration, cracks and the like are not prone to occurring, and the material can be widely applied to the heat conduction and heat dissipation fields of aerospace, advanced energy, electronic information, military industry and the like.

The invention relates to the technical field of welding stress detection, and discloses a vehicle welding stress detection method and device, and the method comprises the steps: applying a preset load to a welding part, carrying out the nonlinear finite element analysis and data driving mapping processing of an initial deformation field matrix, carrying out the characteristic decomposition of a stress field tensor to form a characteristic tensor, and carrying out the detection of the welding stress. Carrying out threshold segmentation on stress concentration factor distribution, inputting an abnormal region coordinate set into a damage evaluation model to carry out life and damage quantification processing, carrying out data integration and visualization processing on damage indexes, and generating a welding stress detection report; by applying the preset load, collecting the three-dimensional strain data of the welding part, constructing the initial deformation field matrix and combining nonlinear finite element analysis and data driving mapping processing, the stress field tensor is directly obtained, the error caused by deducing stress distribution only depending on surface deformation is avoided, and the accuracy of stress calculation is improved.

The present disclosure relates to the technical field of stability control of surrounding rock of tunnelling, and provides an excavation compensation method for tunnelling in deep rock engineering, including: acquiring an engineering geological information of the tunnelling in deep rock engineering; determining an engineering hazard type based on the engineering geological information; determining an excavation compensation support strategy for the surrounding rock of the tunnelling in deep rock engineering based on the engineering hazard type; and performing a supplementary support control on the surrounding rock of the tunnelling in deep rock engineering based on the excavation compensation support strategy. Through the supplementary support strategy, the difference value between a radial stress of the surrounding rock of the tunnelling in deep rock engineering and an initial crustal stress can be reduced to within a preset approximate value range, further effectively preventing a stress concentration phenomenon occurred in a tangential stress.

The invention provides a structural design optimization method and device for an underground station constructed through a shield tunneling method, and belongs to the technical field of underground engineering.The method comprises the steps that site geological survey data of a station trepanning area are obtained and input into a three-dimensional finite element model, and an initial three-dimensional model is constructed; analyzing a dynamic load effect in a construction stage by combining a load reduction theory to obtain a target three-dimensional model; finite element analysis is carried out based on the target three-dimensional model, and the maximum principal stress of the edge of the opening is extracted; then comparing the maximum principal stress with the allowable stress of the material, and performing load reduction iteration under the condition that the maximum principal stress is greater than the allowable stress of the material to obtain a final load reduction coefficient; and taking the final load reduction coefficient, the trepanning center coordinate and the stress concentration factor as the input of a two-dimensional reinforcement model, generating an equivalent live load, calculating the reinforcement amount, and automatically realizing the reinforcement optimization design. The construction efficiency is improved and the engineering cost is reduced while the safety and stability of the structure are ensured.

The invention belongs to the technical field of tunnel pipe jacking construction offset detection, and particularly relates to a tunnel pipe jacking construction offset measurement and analysis system and method. Cross validation and detection calibration are carried out by using dynamic synchronism of stress change and attitude response in time sequence, a consistency criterion of multi-source sensing data is constructed, a data distortion phenomenon can be identified in time under an abnormal working condition, the reliability and fault-tolerant capability of an offset monitoring result are improved, a high-credibility state sensing basis is provided for a construction process, and the construction period is shortened. Based on the calibrated stress distribution data and attitude measurement data, a stress concentration main direction and an attitude offset direction are extracted, a space correlation model between the stress concentration main direction and the attitude offset direction is established, and then the model is combined with real-time stress information of the current tunneling position to predict the attitude offset trend of the pipe jacking machine. And the prospective judgment on the change of the tunneling posture can be realized.

The invention relates to the technical field of strength detection, in particular to a tunnel freezing pipe structure integrity detection method and system.The method comprises the following steps that stress values and strain values under the differential temperature gradient and pressure distribution condition are analyzed based on the diameter, wall thickness, length and elastic data of a tunnel freezing pipe, and mechanical parameters of key nodes and connecting parts are identified; and analyzing a local stress concentration area and crack propagation, and generating stress and strain distribution prediction values. According to the method, the detection precision is improved through multi-dimensional parameter analysis and refined prediction, mechanical parameters and crack propagation areas of key parts are accurately identified, local stress concentration and potential damage are defined, efficient path planning and equipment frequency distribution are achieved by combining damage path sorting and real-time data dynamic adjustment, continuous monitoring of the key areas is ensured, and the accuracy of the detection is improved. By optimizing the damage index and evaluating the structure risk in real time, the overall state and local risk of the freezing pipe are comprehensively controlled, and the detection scientificity and reliability are improved.

The invention discloses a composite material compression test fixture capable of synchronously applying pressure. The composite material compression test fixture comprises a bottom frame and a clamping block, the bottom frame comprises a bottom plate capable of being installed on a test board, a back plate connected with the bottom plate and side plates on the two sides. The two pairs of clamping blocks are symmetrically arranged up and down, and each pair of clamping blocks are symmetrically arranged left and right; the upper clamping block and the lower clamping block on one side are installed on the same movable plate in a sliding mode through a first vertical guide structure, the side portion of the movable plate is installed on the back plate in a sliding mode through a transverse guide structure, and a clamping power piece is installed on the side, away from the clamping blocks, of the movable plate and faces the side plate on one side. The clamping power pieces are used for abutting against the side plates and pushing the clamping blocks on the sides to conduct clamping. The upper clamping block and the lower clamping block on the other side are installed on the same fixing plate in a sliding mode through a second vertical guide structure, and the fixing plate is installed on the other side plate. One end, close to the effective test area, of the clamping block is provided with an extension part and an arc-shaped chamfer. The clamp can effectively relieve stress concentration of the ends of the clamping blocks in an effective test area of a sample, and loads of the left clamping block and the right clamping block are evenly distributed.

The invention relates to the technical field of electromechanical coupling damage diagnosis, and discloses a wind and light storage system electromechanical coupling damage diagnosis method and system.The wind and light storage system electromechanical coupling damage diagnosis method includes the steps that according to geometric data, material attributes and load data of a welding point area, a finite element mechanical model is constructed, and stress distribution data is calculated; according to the environment data and the electrochemical data, a corrosion kinetic model is constructed, and corrosion product parameters are obtained; according to the corrosion product parameters, an elastic modulus degradation model is established, and an inherent frequency degradation value and vibration mode displacement are obtained; performing vibration response analysis on the junction box according to the inherent frequency degradation value and the vibration mode displacement to obtain a stress concentration coefficient; and inputting the electrical parameter variation and the stress concentration coefficient into a damage failure evaluation model to obtain a damage failure evaluation result of the electrical connection point. Through the multi-dimensional coupling model and the dynamic parameter closed-loop feedback mechanism, the electromechanical coupling damage assessment accuracy is effectively improved, and the operation safety and the operation and maintenance efficiency of the wind and light storage system are improved.

The invention relates to a continuous punch forming method of a high-hardness alloy thin-wall lock case in the field of intelligent manufacturing, which comprises the following steps: according to a stress distribution diagram, adjusting a die gap by adopting a self-adaptive algorithm, dynamically optimizing gap parameters for a local stress concentration area, and determining real-time gap configuration; if the temperature deviation of any area in the temperature field exceeds 10 DEG C, recalculating heat source distribution through a heat flow simulation algorithm, and determining optimized heating parameters; acquiring surface topography data of the annealed thin-wall lock case through an optical scanner, and analyzing fracture and wrinkling defects by adopting an image processing algorithm to obtain defect distribution characteristics; if the proportion of the fracture area in the defect distribution characteristics exceeds 2%, the forming failure probability is predicted through a neural network model, and whether the stamping speed is adjusted or not is determined; and according to the defect distribution characteristics and the softening consistency data, a data fusion algorithm is adopted to comprehensively evaluate the forming stability, and optimized operation parameters of the continuous stamping production line are obtained.

The utility model provides a fragmented steel-concrete composite structure transition section for a lattice type tower, which comprises two groups of fragmented structures which are oppositely arranged, two ends of the two groups of fragmented structures are connected through connecting components, each fragmented structure comprises a combined cavity, an outer steel shell, an inner steel shell cylinder, a top steel plate and a bottom steel plate, the inner steel shell barrel is arranged on the inner side of the outer steel shell, the top steel plate and the bottom steel plate are arranged on the tops and the bottoms of the inner steel shell barrel and the outer steel shell respectively and welded to the tops and the bottoms of the inner steel shell barrel and the outer steel shell to form a cavity, lattice type tower frame corner columns communicated with the combined cavity are arranged at the bottom of the combined cavity, and a concrete pouring body is arranged in the combined cavity. And the concrete pouring body is filled in an inner cavity of the lattice type tower corner post. The structure is simple in transmission and clear in stress, the compression resistance of the transition section can be remarkably improved, meanwhile, the risk of buckling of the combined cavity can be avoided, and the phenomenon that stress is concentrated when the stress of the upper steel tower is transmitted to the lower lattice section to be transmitted can be effectively avoided.