421 results about "Structural reliability" patented technology

The invention relates to the technical field of strength detection, and discloses radiator strength detection equipment and a detection method. The method comprises the following steps: carrying out adaptive wavelet denoising and structural association mapping on collected multi-scale structural feature data and multi-environment coupling material feature data of a radiator to be detected, and carrying out multi-dimensional feature extraction, space-time alignment and interactive mapping on an obtained fusion data set to obtain a multi-physical field coupling data matrix; carrying out physical field control equation set separation iteration solution and heat dissipation cyclic load and environmental action calculation on the coupling data matrix to obtain a damage evolution state; and performing multi-dimensional damage sensitive area identification based on the damage evolution state, generating a risk distribution map, performing failure comparison and life calculation based on historical failure data of the same type of radiators, and generating an intensity comprehensive detection result. Through multi-physical field coupling analysis and multi-dimensional damage evaluation, accurate detection of the strength state of the radiator is realized, and the accuracy of structural reliability evaluation is improved.

The invention relates to steel box girder high-strength bolt operation, in particular to a high-strength bolt automatic tightening machine based on machine vision positioning and a tightening method. The automatic tightening machine for the high-strength bolts is used for automatically tightening the bolts of the steel box girder and comprises a multi-shaft moving support, a tightening assembly and a control unit. The multi-axis moving support achieves plane movement of a steel box girder top plate through a servo-driven moving part, a multi-axis support provides three-dimensional space freedom, and the tightening assembly is driven to accurately adjust the posture. The tightening assembly adopts a double-station design, a first tightening head and a second tightening head which are symmetrically arranged on the two sides synchronously move through a door frame type lifting shaft, the image obtaining set is combined to collect position and posture data of a nut and a screw in real time, and a three-dimensional motion path is generated to guide centering. The control unit coordinates multi-axis motion and torque output based on machine vision feedback, full-process automation of the bolt from recognition, positioning to tightening is achieved, the problems that manual operation is low in efficiency and large in error are solved, and screwing precision and structural reliability are ensured.

The invention discloses a flood plain shallow-buried unsymmetrical-pressure multi-arch tunnel excavation stability evaluation method, and relates to the technical field of tunnel stability evaluation, and the method comprises the following steps: obtaining the geological conditions of a tunnel excavation area through on-site survey and drilling, and evaluating the groundwater emission amount and the inrush probability in combination with historical data; and basic data support is provided for subsequent risk modeling. According to the method, through geological and hydrological survey and a numerical model, the high-risk inrush area and the water pressure distribution are accurately predicted, the risk identification and early warning precision is effectively improved, and a scientific basis is provided for support design. Optimized design of the supporting structure is combined with real-time monitoring and dynamic adjustment, construction safety is guaranteed, and meanwhile structural reliability and economical efficiency are both considered.

The lightweight design method for the steel-concrete combined wind power tower drum based on the topological optimization algorithm comprises the steps that S1, a multi-physics field coupling model of the steel-concrete combined wind power tower drum is constructed, and coupling parameters are determined; s2, material layouts of the steel-concrete combined wind power tower drum on the macro scale and the micro scale are obtained, and multi-scale collaborative optimization is carried out by dynamically adjusting scale parameters; s3, constructing a material distribution strategy, determining the distribution form and orientation of a steel material in a tension area and a compression area of the tower drum, and reasonably configuring a concrete material; s4, predicting tower performance under different design variables through the deep neural network model; and S5, performing multi-target evaluation on the optimized steel-concrete combined wind power tower drum design scheme, and determining a lightweight design scheme by constructing a comprehensive evaluation function and weighing the relationship between targets. According to the method, on the premise that the mechanical property and the structural reliability of the wind power tower drum are guaranteed, accurate regulation and control and lightweight design of material distribution are achieved.

The invention discloses a ship heat exchanger heat transfer performance simulation method, particularly relates to the field of heat transfer, and comprises the steps of multi-source data acquisition, characteristic parameter calculation, heat transfer stability diagnosis, comprehensive heat transfer degradation evaluation, structure reliability prediction and system efficiency comprehensive evaluation. Multi-dimensional data synchronous acquisition is realized through a multi-source sensor network, a dynamic coupling analysis model is constructed to accurately calculate the heat transfer stability and the comprehensive degradation index, a three-level early warning mechanism is established to improve the state evaluation accuracy, turbulence attenuation characteristics and vibration data are fused to predict the structural reliability, and the reliability of the system is improved. And closed-loop management and control is formed by combining an efficiency index triple evaluation system, so that the spanning from single alarm to preventive maintenance is realized, the health management capability of the system is comprehensively enhanced, and full-life-cycle dynamic optimization support is provided for the ship heat exchanger.

The invention discloses a bridge support column structure reliability design evaluation method, and relates to the technical field of bridge design evaluation, and the method comprises the steps: obtaining a first modeling data set based on a bridge support column structure design drawing, and building a to-be-evaluated three-dimensional model and a finite element model; generating a first simulated traffic flow, performing simulation by applying a load to obtain standard state stress data, and performing screening to obtain a key stress surface; the statically-determinate structure creep force of the key stress surface is calculated, and the evaluated damage life is obtained through calculation based on the statically-determinate structure creep force; generating a second simulation traffic flow, performing simulation to obtain offset state stress data of the key stress surface, and performing calculation based on an offset nonlinear regression equation to obtain anti-offset reliability; establishing an anti-impact reliability performance function, generating a simulation impact combination through a Monte Carlo algorithm, and determining an anti-impact reliability simulation value; and based on the anti-offset reliability and the anti-impact reliability, a fusion robustness value is obtained through calculation, and threshold judgment is carried out to obtain an evaluation result.

The invention discloses a construction method of a bridge member safety knowledge graph based on multi-category monitoring information and hidden danger information, and relates to the technical field of bridge structure safety monitoring, and the method comprises the steps: determining a structure reliability index as a representation index of bridge structure safety, building a two-dimensional collaborative analysis system based on monitoring items and hidden danger items, and obtaining a bridge structure safety knowledge graph; building a multi-source data fusion structure reliability analysis framework by taking a structure reliability index as a final analysis purpose; based on a structure reliability analysis framework, a four-layer ontology model comprising a structure physical layer, a damage monitoring layer, a reliability assessment layer and an auxiliary decision-making layer is designed through Protege software, a knowledge graph is formed, a knowledge representation path of bridge structure safety assessment decision is established, and timely dynamic update and reliable maintenance decision of a bridge structure safety state are realized. According to the method, the knowledge graph is constructed through the four-layer ontology model with the causal conduction mechanism, and a knowledge representation path capable of systematically analyzing the safety of the bridge structure is formed.

The invention discloses a flexible structure 3D printing support control method combined with a resistor, and relates to the technical field of 3D printing, and the flexible structure 3D printing support control method comprises the following steps: generating a continuous density field and a dynamic damping parameter field of a support structure based on multi-target topological optimization of dynamic stiffness constraint and material distribution; quantifying the contact probability of the support structure and the target model through a membership function, and constructing a nonlinear gradient field of a contact interface; the stress coupling relation between the supporting structure and the model interface is defined based on the mixed constitutive tensor, the interface stress transfer coefficient is adaptively updated based on the material shrinkage rate difference, multi-physics field collaborative optimization is achieved in combination with regularization constraint, the key part of the supporting structure is recognized, and the resistor is integrated to the key part of the supporting structure. Through multi-target topological optimization, membership construction and adaptive stress transfer coefficient updating, the material consumption is reduced, the printing efficiency is improved, stress concentration at an interface is inhibited, the forming defect risk is reduced, and the structural reliability is improved.

The invention provides a finite element analysis method for a competition-level site cross-country motorcycle frame, and belongs to the technical field of crossing of computer-aided engineering and vehicle structure design. The method comprises the following steps: performing parametric modeling on a frame main bearing structure based on CATIA software, and simplifying non-functional characteristics; importing the model into ANSYS Workbench, generating a high-precision finite element model by adopting a grid division strategy of mixing tetrahedron and hexahedron units, and considering the calculation efficiency and precision; defining material characteristics; a limit load working condition is simulated through statics analysis, a displacement cloud picture and a stress cloud picture are combined to be compared with the yield strength of a material, and topological optimization is conducted on a weak area; meanwhile, the inherent frequency of the frame is extracted through modal analysis, and the resonance risk is avoided. According to the method, statics analysis and modal analysis are carried out on the frame through cross-platform co-simulation, the structural reliability is evaluated, and the method is suitable for efficient development and performance optimization of competition-level cross-country motorcycle frames.

The present invention relates to the technical field of surgical robots, and discloses a mounting mechanism and a surgical robot. The mounting mechanism is used to install a poking mechanism, and a mounting part is protruding from the poking mechanism. The mounting mechanism includes a mechanism body, an adapter, and a movable part. One end of the mechanism body is used to connect with the mechanical arm, and the other end is provided with a mounting channel; the adapter includes a receiving part, the receiving part is placed in the mounting channel and can be separated from the mounting channel through the opening of the mounting channel, one end of the receiving part is open, and the mounting part can enter or separate from the inner cavity of the receiving part through the opening of the receiving part, and a clamping part is movably provided on the side wall of the receiving part; the movable part is placed in the mounting channel and movably connected to the mechanism body, and when the mounting part is in the inner cavity of the receiving part, the movable part can push the clamping part to move toward the inner cavity of the receiving part to press against the mounting part. The present invention improves the structural reliability of the adapter, ensures surgical safety, reduces the processing and assembly requirements of the mounting mechanism, and reduces production costs.

The invention relates to the technical field of structural reliability analysis, in particular to an adaptive structural reliability analysis method based on a Co-kriging proxy model, which comprises the following steps: determining a structural failure mode, acquiring corresponding high-fidelity and low-fidelity performance functions and inputting distribution information of variables; a high-fidelity sample set and a low-fidelity sample set are obtained through sampling; obtaining responses corresponding to the two fidelity samples, and constructing a Co-kriging agent model; carrying out structural reliability analysis by utilizing a Monte Carlo simulation method, and calculating a failure probability of each iteration; judging whether a convergence condition is met; adding new sample points into the training set by using a learning function, constructing a Co-kriging proxy model, and obtaining a final failure probability; according to the method, the Co-kriging proxy model is combined with the learning function MPO (x, m), multi-precision sample data can be fused, and on the premise that it is ensured that the failure probability estimation result has high precision, the calculation process is optimized, unnecessary calculation resource consumption is effectively reduced, and the overall calculation cost is remarkably reduced.

The invention discloses an offshore wind turbine supporting structure reliability evaluation method based on a reduced-order digital twin model, and the method comprises the steps: obtaining the response data of an offshore wind turbine supporting structure through multi-dimensional load analysis; and finally, setting a limit state function of the offshore wind turbine support structure in an extreme state, and calculating the failure probability of the offshore wind turbine support structure through a first-order reliability method under the condition of combining response data of the offshore wind turbine support structure so as to evaluate the reliability of the offshore wind turbine support structure. According to the method, the problems of insufficient model precision, calculation efficiency bottleneck, reliability evaluation limitation and the like of an existing reliability evaluation method for the offshore wind turbine supporting structure can be solved, and the requirements of offshore wind power engineering for high precision, high efficiency and comprehensiveness of reliability evaluation of the supporting structure can be met.

The invention discloses a stirrup assembly type concrete beam column structure, which relates to the technical field of building structures and comprises a prefabricated lower column, a prefabricated upper column, a left superposed beam and a right superposed beam, the prefabricated lower column, the prefabricated upper column, the left superposed beam and the right superposed beam are distributed in a cross-shaped beam column structure; unique double-spiral stirrup configuration is applied to the column body, so that the torsion resistance and the bearing capacity are enhanced; the longitudinal bars and the stirrups are reasonably arranged on the superposed beam, so that the bending resistance and the shearing resistance are guaranteed. At the joint, the T-shaped channel steel plates, the fixing blocks and the hinged tension connecting rods form an energy dissipation system, and earthquake energy is effectively dissipated. The column body connection adopts the combination of a full-grouting nodular cast iron sleeve and a frame-shaped steel belt, and is matched with a post-pouring laminated layer to realize rigid connection. The limiting mechanism anchors a T-shaped channel steel plate through a double-end pull rod and a self-locking nut, a limiting clamping plate and a torsion spring form anti-pulling self-locking, the anti-seismic property of the joint is enhanced by combining a hinged tension connecting rod, and the structural reliability is improved.

The invention provides a structure reliability analysis method based on an adaptive variable fidelity model, and the method comprises the steps: generating an initial sample point set which is uniformly distributed and has representativeness through an improved random sampling method KMODMC, enabling the initial sample point set to comprise a low-fidelity sample set and a high-fidelity sample set, training a BP neural network through employing the low-fidelity sample set, and carrying out the training of the BP neural network through employing the high-fidelity sample set; a low-fidelity BP neural network model is obtained; meanwhile, based on an error training Kriging model of a high-fidelity sample set and a low-fidelity model predicted value, an error correction Kriging model is constructed, the low-fidelity BP neural network model and the error correction Kriging model are combined to form a multi-fidelity mixed agent model, and adaptive iterative optimization is performed through a double-model alternate point adding sampling strategy. And finally obtaining a high-precision multi-fidelity hybrid agent model for structural reliability evaluation. According to the method, the problems of high cost of high-fidelity simulation calculation and insufficient precision of a low-fidelity model are solved, and the adaptive capacity and prediction precision of the model in a complex nonlinear problem are effectively improved.

The glass curtain wall structure is characterized in that two sides of the front end of an aluminum vertical frame extend forwards and are provided with connecting grooves, and an inserting cavity is formed between the connecting grooves in the two sides; the curtain wall glass is arranged in the glass mounting area on the front side of the connecting groove; the base is fixedly installed in the inserting cavity, so that the turned edges on the two sides are correspondingly buckled and clamped at the inner end of curtain wall glass, when the inserting groove of the inserting piece is installed on the boss in a matched mode, the inserting groove and the boss are combined together to form a bearing body, the buffering blocks on the two sides are installed in the buffering cavity in a matched mode, and the pressing plates on the two sides correspond to the turned edges on the two sides. And the decoration strip is fixedly connected to the bearing main body structure through a bolt. Through structural integration and multi-stage buffering and damping design, the impact resistance and structural reliability of the glass curtain wall are remarkably improved while the decoration effect of the glass curtain wall is ensured, and the service life of a curtain wall system is effectively prolonged.

The invention belongs to the technical field of mechanical truss structure reliability quantitative analysis, and relates to an evaluation method and system for quantifying the reliability of a mechanical truss structure based on nested integration, and the method comprises the steps: generating an initial moment integral of a reliability parameter of the mechanical truss structure; establishing a continuous nested integral model for quantifying the reliability of the mechanical truss structure, and outputting a nested integral rule; and calculating a numerical integration form of the reliability parameters of the mechanical truss structure according to a nested integration rule to obtain reliability evaluation of the mechanical truss structure. According to the method, continuous nested integral nodes and weights of any probability density function for mechanical truss structure reliability parameters are generated, unknown variable values such as nested integral nodes, nested integral weights and integral nodes are obtained by solving a minimization problem, and small singular values and numerical error influences are reduced by using regularization; and a nested integral rule with the highest polynomial algebraic precision under any probability density function can be obtained, and the stochastic analysis problem in the mechanical truss structure response can be effectively solved.

The invention relates to the technical field of hydroelectric power generation equipment structure reliability evaluation, and particularly provides a water turbine top cover bolt time-varying reliability evaluation method and device based on parameter sensitivity analysis. According to the technical scheme provided by the invention, key variables are highlighted through parameter sensitivity analysis, and the response surface method and Monte Carlo simulation are combined, so that the calculation efficiency is remarkably improved while the precision is ensured, and the reliability evolution rule of the bolt in the whole life cycle can be scientifically represented; and an important basis is provided for maintenance decision and structure optimization of the water turbine top cover bolt.

The invention provides a product structure safety evaluation method considering detection probability, which comprises the following steps of: automatically establishing a product finite element model in batches under different defect distribution by adopting a Monte Carlo method by constructing a joint probability model fusing defect existence probability and nondestructive testing detection probability indexes; calculating M integral and regularization damage parameter pi of the model under each defect distribution condition by combining material configuration mechanical energy intensity indexes, determining the influence rule of uncertainty on intensity index probability distribution, and establishing the incidence relation among the random defect distribution condition of the product, the mechanical performance and the structural reliability; and effective analysis and quality evaluation of product defects are realized. According to the method, a nondestructive testing detection probability POD evaluation system is creatively combined with the M integral and regularization parameters of the configuration mechanics, the limitation of a traditional reliability evaluation method is broken through, the influence of uncertainty on the structural strength is quantitatively detected, the precision and efficiency of product reliability evaluation are remarkably improved, and the method is suitable for popularization and application. And effective technical support is provided for structural safety design.

The invention discloses an intelligent management method and system for a cast pipe production line, and relates to the technical field of cast pipe production, in the trial-manufacturing process, the method identifies the sequence of solidification areas under different rotation conditions by setting different rotation conditions and combining a CFD simulation technology, and analyzes the component difference and the distribution condition of solute elements in different areas. By obtaining the composition segregation coefficient Pxs, distribution of solute elements in the cast pipe production process can be optimized, the composition uniformity of the cast pipe is further improved, then the mechanical property and structural reliability of the cast pipe are enhanced, and the defect risk caused by uneven composition is reduced. In the cast pipe production process, the feeding timeliness in the molten metal solidification process is analyzed, technological data are combined, the hole defect risk coefficient Kfx is constructed, the foundation is laid for effectively reducing the occurrence rate of hole defect defects, and the production conditions of centrifugal casting are optimized.

The invention discloses an intelligent switch disconnecting link anti-misoperation method and system, and the method comprises the steps: collecting the electrical state information of a switch and a disconnecting link in real time, and constructing a power grid topological structure based on an improved particle swarm algorithm; based on the power grid topological structure, reliability analysis is carried out by adopting a minimum cut set method, and the failure probability of key nodes and a system reliability index are calculated; generating and dynamically adjusting an anti-misoperation strategy by utilizing a reinforcement learning model and combining historical operation data, a power grid topological structure, a reliability index and fault data; in the operation execution stage, the operation logic is verified through the machine learning model, and if it is detected that the operation violates an anti-error strategy or a reliability threshold, locking is triggered and an alarm is given; the state information of the power equipment is obtained through the real-time monitoring module, the equipment layout is optimized by combining topology analysis and the improved particle swarm optimization, and the response speed and accuracy of the system are improved.

The invention provides a random-interval hybrid uncertainty structure reliability analysis method and a related device, and belongs to the technical field of structure reliability analysis. The method mainly comprises two improvements: 1, determining a selection mode of a sampling center of an important sampling density function of a kth layer, constructing the important sampling density function according to the determined sampling center of the important sampling density function of the kth layer, and extracting a random sample of the kth layer according to the constructed important sampling density function; and 2, constructing a Kriging model according to the function relationship between the POD coefficient and the interval variable, constructing a mixed Kriging model on the basis of the Kriging model according to the function relationship between the output and the interval variable, and carrying out adaptive learning on the mixed Kriging model. According to the method, the problem that the reliability analysis efficiency of the random-interval hybrid uncertainty structure is not high is solved.

The invention provides an efficient and high-precision prediction method for the minimum failure probability of an aviation structure system based on an exponential penalty learning mechanism, and relates to the technical field of structural reliability analysis. Respectively generating an initial sample and a candidate sample according to the probability density function of the random variable of the performance function to be analyzed; real performance function responses corresponding to the initial samples are calculated to form an initial training sample set, and an initial Kriging agent model is constructed; selecting an optimal sample point from the candidate sample set through the proposed EPAL function; merging the optimal sample and the real response thereof into the initial training sample set, and iteratively updating the Kriging model until an error-based stopping criterion is met; judging whether the failure probability variation coefficient meets the requirement or not; and finally, calculating the failure probability of the structure based on a trained Kriging model and a Monte Carlo method.

The invention relates to the technical field of civil engineering structure data monitoring, in particular to a structure reliability evaluation and prediction method and system based on long-term monitoring data. According to the technical scheme, the method comprises the following steps: data preprocessing: preprocessing long-term monitoring data to improve data quality; data distribution self-adaptive modeling is carried out, and a self-adaptive data distribution model is constructed to adapt to complex data features; reliability index calculation and evaluation: calculating a structure reliability index based on the data distribution model and completing evaluation; and reliability dynamic prediction: carrying out reliability dynamic prediction according to the time characteristic of the data. According to the method, the quality of long-term monitoring data can be effectively improved, key features can be accurately extracted, a solid foundation is laid for subsequent complex data modeling based on a mixed Copula function model, the structural reliability is dynamically evaluated and predicted in combination with time-varying features, and the reliability is improved by fusing multi-source data.

The rear auxiliary frame assembly comprises a front cross beam, a rear cross beam, a left longitudinal beam and a right longitudinal beam, the front cross beam is located in front of the rear cross beam, the left longitudinal beam extends in the front-back direction along an arc protruding towards a passenger compartment, and the right longitudinal beam extends in the front-back direction along an arc protruding towards a passenger compartment. The left longitudinal beam extends in the front-back direction along an arc protruding towards a passenger compartment, the right longitudinal beam extends in the front-back direction along an arc protruding towards the passenger compartment, the two upper swing arm mounting supports are symmetrically arranged in the left-right direction, the lower swing arm mounting supports are arranged at the bottom of a rear cross beam, and the outlines of the cross sections of the front cross beam, the rear cross beam, the left longitudinal beam and the right longitudinal beam are all in a closed pattern. According to the rear auxiliary frame assembly, the overall bending and torsion modes of the rear auxiliary frame are improved, the structural strength of the auxiliary frame is improved, it is guaranteed that the auxiliary frame has enough durability and reliability, and on the premise that the reliability, durability and comfort of the whole vehicle structure are met, the number of parts and welding procedures are reduced, and the weight of the auxiliary frame is reduced.

The invention discloses an aircraft fuel centrifugal pump impeller parameterization design method, and relates to the technical field of aircraft fuel centrifugal pump impeller parameterization design, and the aircraft fuel centrifugal pump impeller parameterization design method comprises the steps that a point cloud conversion terminal carries out Poisson sampling on the surface of each impeller model, and a point cloud data set containing coordinates, normal vectors and curvatures is generated; in a physical constraint neural network architecture construction stage, a neural network terminal inputs working condition vectors and performance requirements into a PointNet + + encoder to extract global features, then geometric point cloud coordinates are generated by using Transform in combination with MLP, and eddy dynamics physical constraints including a vorticity intensity suppression item and a vorticity gradient constraint item are applied in training. According to the method, the multi-objective loss function combination is designed through the training optimization terminal, the point cloud geometric error, the fluid equation residual error and the performance index deviation are fused, multi-dimensional collaborative optimization of the geometric accuracy, the fluid mechanics compliance, the performance standard degree and the structural reliability of the impeller is achieved, and finally the aviation fuel centrifugal pump impeller with better comprehensive performance is obtained.

The utility model discloses a modular combined square cabin, and relates to the technical field of combined square cabins. Comprising a square cabin body, the square cabin body comprises base foot pieces, beam column connecting foot pieces, supporting inner beams, a bottom plate, a top plate, a door formwork, a window formwork and wallboards, and the base foot pieces and the beam column connecting foot pieces are arranged up and down. According to the method, firstly, base foot pieces are laid, then bottom frame steel beams and stand columns are installed, then beam column connecting foot pieces, supporting inner beams and a bottom plate are installed, then a door formwork, a window formwork and wall plates are installed, and finally a top plate, the rest beam column connecting foot pieces, the rest supporting inner beams and the rest wall plates are installed. According to the combined square cabin, bolt type fixing is adopted in the combining process, bolt fixing is not used, any tool is not used, rapid splicing and storage are convenient, the installing efficiency, the structural reliability, the maintainability and the installing flexibility of the combined square cabin are effectively improved through the combining method, meanwhile, the installing cost is reduced, and the installing reliability is improved.

The assembled steel box girder comprises a first steel box girder and a second steel box girder, wherein the ends of the first steel box girder and the second steel box girder are in butt joint; a supporting beam is fixed in the first steel box beam, a cross rod is arranged on the surface of the supporting beam, a slidable telescopic arm is inserted into the cross rod, a jacking plate at the end of the telescopic arm is connected with an L-shaped rod, and a telescopic rod is inserted into the end of the L-shaped rod; through grooves matched with the L-shaped rods are formed in the surfaces of the two steel box girders, the telescopic rod on the first steel box girder side is sleeved with a rotatable nut, and the telescopic rod on the second steel box girder side is fixedly provided with a screw capable of being connected to the nut in a screwed mode. According to the scheme, the two steel box girders are driven to be in accurate butt joint through thread transmission, gaps are eliminated to improve the welding quality, and meanwhile the construction cost is reduced; the supporting beams and the transverse rods form a stable bearing foundation, the stability of the splicing process is guaranteed, construction efficiency and structural reliability are both considered, and the method is suitable for rapid splicing of bridge steel box girders.

The invention provides an intelligent detection method and system for absolute stress of a steering axle of a port machine, and relates to the technical field of stress measurement and detection. Carrying out synchronous correction and feature modeling on the collected data, and constructing an absolute stress calculation and intelligent analysis model; screening a structure benchmark operation interval based on the operation data, constructing a benchmark stress reference state, and evaluating the stability of the structure benchmark; on the basis, multi-axis decomposition is carried out on the absolute stress, a multi-axis stress decoupling coefficient is calculated, and multi-axis stress safety judgment and coordinated regulation are achieved; and further combining the stress time sequence evolution characteristics and the fatigue accumulation effect, evaluating the long-term stress evolution risk of the structure, and implementing steering, loading and maintenance strategies when the risk exceeds the limit. According to the method, online sensing, risk early warning and closed-loop optimization of the absolute stress of the steering axle are realized, and the operation safety and the structural reliability of the port machinery are improved.

The invention discloses a generative model and digital twinborn fusion aerospace equipment structure reliability test method, which comprises the following steps of: firstly, establishing a physical entity model of aerospace equipment, installing a sensor at a key position of the physical entity model, and acquiring stress, strain and vibration data of the equipment in real time; secondly, establishing a digital twinborn model corresponding to a physical entity, and determining a load-response relationship of equipment; processing the actually acquired data to form a standardized load-response data set; establishing and training a probability mapping relation between load and response by utilizing a diffusion generation model, and realizing the generation of equipment response data; then defining a limit state function of reliability analysis of the equipment structure, and carrying out reliability simulation evaluation to obtain a failure probability and a reliability index of the equipment structure; and finally, acquiring equipment operation response data in real time, and dynamically updating parameters of the diffusion generation model and the digital twin model. According to the invention, the accuracy and efficiency of aerospace equipment structure reliability testing are effectively improved.

The invention relates to the technical field of structural reliability, in particular to a conformal antenna welding spot thermal vibration coupling fatigue life prediction method based on damage superposition, and the method comprises the steps: constructing a finite element model of a conformal antenna; obtaining a thermal damage value of a conformal antenna structure welding spot under a single temperature cycle; obtaining a vibration damage value of a conformal antenna structure welding spot under a single temperature cycle; obtaining a thermal vibration coupling damage value in a single cycle period; and obtaining the fatigue life of the conformal antenna welding spot under thermal vibration coupling. According to the method, the purpose of evaluating the fatigue life through thermal vibration damage time domain superposition is achieved, and meanwhile the fluctuation influence of vibration load randomness on the fatigue life evaluation result is fully considered.