28 results about "Material Degradation" patented technology

The invention relates to the technical field of constructional engineering data processing, in particular to an engineering quality monitoring method and device and electronic equipment, and the method comprises the steps: periodically collecting constructional engineering data; determining a fracture form coefficient according to the fracture data; performing dynamic index evaluation on the material data and the environment data to obtain a material degradation rate; constructing an initial stress vector and an actually measured stress vector according to the stress data, and analyzing a stress deviation angle based on the initial stress vector and the actually measured stress vector; constructing an energy-time decay model based on the acoustic emission data to determine an acoustic emission cumulant; performing data fusion analysis on the fracture form coefficient, the material degradation rate, the stress deviation angle, the acoustic emission cumulant and the environmental data to obtain a structural health index; and judging the building engineering quality according to the structural health index. According to the invention, accurate analysis of the building engineering quality is realized.

The invention discloses a historical building repairing method and system based on multi-source data fusion and AI diagnosis, and belongs to the technical field of historic building repairing. According to the method, the multi-source data of the historical building are integrated, the digital twinborn model of the historical building is constructed, defect identification and state evaluation are performed on the digital twinborn model based on the AI diagnosis algorithm, the repairing scheme of the historical building is generated, the repairing effect is fed back in real time through the digital twinborn model, the multi-source data cover full dimensions, and the repairing efficiency is improved. The model restores details of building components and can simulate structural deformation under the load effect and material attenuation caused by the environment, real-time data mapping enables the model to synchronously reflect the state of a solid building, defect danger coefficients are calculated through multi-parameter fusion, the types and positions of defects such as structural deformation and material degradation can be automatically recognized for generation of differentiated repairing schemes, and the method has the advantages of being high in practicability and easy to popularize. Hidden defects are prevented from being missed in manual detection, risk quantification is achieved by combining defect danger coefficients with weight distribution, and the generated scheme better fits the actual defect condition of historical buildings.

The invention relates to the technical field of civil engineering evaluation, in particular to a concrete structure performance evaluation method and system in a marine environment, and the method comprises the steps: inputting engineering information and environmental parameters; determining analysis components and section parameters; establishing a probability model of the key parameters; setting an analysis age limit and a time step length; carrying out chloride ion diffusion and steel bar corrosion analysis; carrying out material performance time-varying degradation analysis; calculating the time-varying resistance of the component; establishing a structure resistance time-varying probability model; and evaluating long-term performance of the structure. By integrating chloride ion erosion, steel bar corrosion, material degradation, member resistance time variation and reliability analysis, a full-chain evaluation system from environment input to safety grade division is formed, and the evolution law of the bearing capacity of the structure in the whole life cycle can be dynamically reflected; and a quantitative basis is provided for durability design, service state evaluation and maintenance decision of reinforced concrete structures such as long-piled wharfs in a marine environment.

This invention discloses a method and system for identifying safety hazards in power equipment, specifically relating to the field of intelligent operation and maintenance technology for power equipment. It addresses the hidden operational risks caused by the mismatch between equipment aging characteristics and generalized strategies in existing technologies. By collecting multi-source operating status data of power equipment and constructing an asynchronous dataset, it dynamically identifies spatial electric field distortion gradients and contact resistance fluctuations as abnormal parameters. Based on equipment structural characteristics, it assigns differentiated weights to these abnormal parameters, quantifying the risk levels of different areas. It analyzes the temporal correlation between contact resistance and electric field response to determine the breakdown risk caused by insulation degradation. Combining the risk levels, it generates maintenance cycle optimization schemes and electric field compensation parameters, and dynamically updates the aging model based on execution feedback. Through dynamic adaptation of equipment status and control strategies, it achieves early warning and precise intervention for potential hazards, effectively solving the control mismatch problem caused by neglecting material degradation characteristics in traditional methods.

The application discloses a method for predicting and managing degradation of anode and cathode materials in electroplating, and particularly relates to the field of data analysis of electroplating production lines, which is used to solve the problem that existing electroplating production lines rely on manual experience and single voltage threshold to arrange anode and cathode maintenance and are difficult to identify the degree of material degradation in time. The method is achieved by acquiring time-labeled data to construct an original working condition track, screening a slowly changing load interval, calculating a theoretical reference quantity and a deviation track, identifying a degradation sensitive interval, extracting a deviation monotonic cumulative feature and a deviation and load decoupling feature to form a comprehensive judgment coefficient, and then combining anode and cathode replacement records and plating layer quality records to adaptively update a comprehensive judgment coefficient threshold and a degradation sensitive interval division parameter, so as to realize continuous prediction and fine management of the degradation process of the electroplating anode and cathode.

The invention discloses a magnesium oxide-containing high-performance composite crucible for smelting an aluminum-lithium alloy and a preparation method of the magnesium oxide-containing high-performance composite crucible, and belongs to the technical field of refractory materials. The preparation method comprises the following steps: mixing aluminum oxide, calcium aluminate, boehmite, magnesium oxide, chromic oxide, calcium fluoride, modified zirconium powder, aluminum oxide and a 5wt% aluminum dihydrogen phosphate solution to obtain a mixed material, and sealing and standing the mixed material to obtain a first mixed material; adding the first mixture into a mold, and carrying out static pressure treatment to obtain a blank; and carrying out gradient sintering on the green body to obtain the magnesium oxide-containing high-performance composite crucible. According to the prepared high-performance composite crucible containing magnesium oxide, the synergistic effect of the modified zirconium powder and various functional oxides is taken as a core, and a unique process is combined, so that the corrosion resistance is improved, and the problem of material deterioration caused by high activity of lithium element is solved.

The utility model relates to the technical field of metal processing, in particular to an anti-skid gripper jaw for hot stamping. The device comprises a clamping table, a clamping mechanism, a cooling mechanism and a cooling pipe, wherein the clamping mechanism is arranged at the top of the clamping table; the cooling mechanism is arranged on the clamping mechanism; the cooling pipe is arranged on the cooling mechanism, a liquid inlet pipe is arranged at the bottom of the cooling pipe, and a liquid outlet pipe is arranged at the top of the cooling pipe. Through the arrangement of the cooling mechanism, the motor drives the spiral conveying plate to rotate so as to circularly convey cooling liquid, and the cooling liquid flows in the liquid inlet pipe, the cooling pipe and the liquid outlet pipe so as to circularly cool the clamping plate, so that heat can be quickly taken away, the temperature of the clamping jaw is controlled within a reasonable range, material degradation is obviously delayed, and the service life of the clamping jaw is prolonged. And the thickness of an oxide layer caused by high temperature can be reduced, surface damage is reduced, the service life of the clamping jaw is prolonged, meanwhile, the material hardness can be maintained, and the stable friction coefficient between the anti-skid teeth and a workpiece is ensured.

The present application relates to the technical field of composite material nondestructive testing and structure health monitoring, in particular to a new energy composite material micro-crack testing method based on ultrasonic echo; comprising: obtaining the time sequence ultrasonic echo signal of the target composite material in a continuous time period, and synchronously obtaining the soil volume water content and soil temperature; extracting the echo attenuation coefficient under different soil volume water contents, and analyzing the water saturation degree of micro-cracks; combining the soil humidity change curve and the water saturation degree change curve to calculate the capillary water absorption response coefficient; inputting the water machine coupling degradation prediction model to calculate the material degradation rate and the residual strength reduction coefficient; combining the future meteorological prediction data to extrapolate the water-sensitive micro-crack risk index, and obtaining the dynamic warning of the remaining safe life; the present application realizes the improvement from single static detection to the identification of the internal medium state of cracks.

This invention discloses a method and system for performance analysis of acrylic sheets, relating to the field of material performance testing technology. The method includes: processing an acrylic sheet sample to generate a test sample based on a preset environmental stress time-series loading scheme; acquiring microscopic images and Fourier transform infrared spectra of the test sample to generate a state snapshot; determining the material degradation stage based on the state snapshot and a preset degradation judgment criterion; generating a stress adjustment command and modifying the scheme parameters when the sample is in the pre-damage stage; iteratively executing the aforementioned steps, recording the state snapshot and the updated scheme for each iteration; calculating the cumulative damage value between adjacent state snapshots; terminating the iteration when the cumulative damage value reaches a preset failure threshold, and calculating the predicted service life. This invention can reflect the chain reaction process of material degradation, accurately simulate the weakening of the resistance to subsequent stresses by initial environmental stress, and achieve reliable prediction of the service life of materials under complex interactive stress environments.

The invention discloses an offshore wind power main engine room structural member quality monitoring method, and particularly relates to the technical field of structural health monitoring, comprising the steps of presetting a flexible sensing array network on the surface of a structural member, and configuring three types of sensors according to the difference of stress concentration and corrosion sensitivity; an acoustic waveguide network which is co-cured and molded with a base body is embedded in the structural part, and internal transmission signals are acquired through encoding acoustic wave excitation and receiving; synchronously collecting multi-physics field response and sound wave signals under the action of an environmental load, and carrying out space-time alignment and feature extraction; constructing a structure state evolution model based on a deep space-time diagram convolutional network, mapping sensing data into a dynamic graph structure, and dynamically updating a node and edge association relationship through an adaptive graph learning mechanism; and realizing three-dimensional visual positioning and quantitative evaluation of internal damage initiation, surface crack propagation and material degradation degree of the structural member by using a multi-layer space-time convolution and attention fusion mechanism.

The invention discloses a laser welding method which comprises the following steps: firstly, fixing a PMMA (Polymethyl Methacrylate) workpiece, adopting laser with the wavelength of 1900-2000nm, forming an elliptical light spot of which the long axis is parallel to a welding seam through a beam shaping module, preheating, and superposing transverse oscillation; then, a light spot is switched into a small-size circle, the power and the scanning speed are remarkably improved, a laser focus is accurately aligned with an upper-layer interface and a lower-layer interface, high-speed spiral scanning motion is superposed, and sufficient fusion and stirring of an interface material are achieved; after welding is completed, the light spot form, the laser power, the scanning speed and the focus position are linearly and gradually changed back to the initial state within the transition time, and a heat source is closed; and finally, the workpiece is subjected to parameter-controllable forced air cooling. By dynamically regulating and controlling the light spot shape, the energy distribution and the scanning track, the problems of thermal stress concentration, material degradation, joint performance degradation and the like in the PMMA welding process are effectively solved, and the mechanical strength, the optical transparency and the overall quality consistency of a welded joint are remarkably improved.

The application provides a large-diameter sodium valve driving device, relates to the technical field of nuclear reactor control equipment, and specifically comprises a casing, a driving motor, a transmission worm, a transmission worm wheel and an output shaft. The transmission worm has a driving part and a transmission part, the driving part is in transmission connection with a driving shaft, and the transmission part is arranged at intervals with the driving part in the axial direction of the transmission worm. The transmission worm wheel has an outer edge and an inner edge, the outer edge is in meshing transmission connection with the transmission part. The output shaft is inserted into the worm wheel and in transmission connection with the inner edge, and is used for connecting the sodium valve. The driving shaft and the driving part are made of low-alloy carburizing steel containing chromium, manganese and titanium, the outer edge is made of high-tin nickel bronze, and the transmission part is made of medium-carbon alloy structural steel containing chromium. The application forms a stable transmission structure through the combination of multiple materials, can maintain stability under sodium fire high temperature, avoids transmission failure caused by thermal deformation or material degradation, and meets the emergency action requirements in the sodium leakage accident of a nuclear power plant.

The invention relates to the technical field of hydraulic engineering safety monitoring, in particular to a concrete gravity dam long-term failure probability prediction and optimization analysis method, which comprises the following steps: constructing a material degradation model and a load calculation model, then defining three failure criteria of anti-sliding, anti-overturning and overtopping, and then calculating single-year instantaneous and full-life period cumulative failure probabilities; by realizing big data sampling simulation, the optimization effects of improving a drainage system, treating a base and increasing the height of a free plate are finally quantitatively analyzed. The method realizes multi-factor coupling modeling, improves the prediction precision, can quantify the optimization effect, and is suitable for safety evaluation of the concrete gravity dam in multiple fields.

This invention proposes a device for simulating the erosion and degradation of the inner side of the lining of a shield tunnel under load, relating to the field of tunnel engineering testing. It includes: a scaled-down lining unit, a water pressure injection unit, a gas injection unit, and a data acquisition unit. The water pressure injection unit comprises an annular outer casing and a sealing cover for sealing the annular outer casing. The scaled-down lining unit is located inside the annular outer casing, and the inner wall of the scaled-down lining unit and the sealing cover form the gas injection unit. This invention simulates the environmental erosion experienced by the lining of a shield tunnel during actual application. By simultaneously applying external high water pressure, internal pressurization, and an corrosive gas environment, and by monitoring the mechanical response, permeability characteristics, and material degradation process of the test specimen in real time, it provides a key testing method for evaluating the long-term durability of shield tunnels.

The application provides a kind of method for determining the fatigue degree of photovoltaic support cable, belongs to the technical field of photovoltaic support cable detection, and the application establishes the multi-physical field coupling finite element model of integrated electrochemical corrosion kinetics equation, ultraviolet light aging degradation kinetics equation and thermal coupling constitutive relationship to calculate temperature field, humidity field, irradiation field distribution and map as material degradation coefficient, establishes fatigue crack propagation simulation model based on random phase field theory, introduces Gaussian random field to represent the spatial variability of material performance, and adjusts the phase evolution rate parameter according to the damage confidence, adopts the stress path reconstruction algorithm driven by topology optimization to optimize the material distribution of anchoring area, calculates the cumulative fatigue damage degree according to the optimized stress field distribution and crack propagation path, and solves the technical problem that the fatigue damage evolution law of photovoltaic support cable in multi-field coupling environment is difficult to accurately predict.

This invention provides a method for predicting and analyzing the fatigue life of wellhead equipment, relating to the field of downhole engineering technology. The method includes the following steps: collecting load spectrum, material degradation, environmental corrosion, and historical maintenance data of the wellhead equipment to establish a four-dimensional damage factor matrix; preprocessing and feature fusion of the aforementioned multi-source data; and constructing a self-attention LSTM network. This invention incorporates four key factors—load spectrum, material degradation, environmental corrosion, and historical maintenance—into a unified analytical framework through the four-dimensional damage factor matrix, solving the problem of the one-sidedness of traditional single-factor analysis. The self-attention LSTM network can automatically learn the attention weights between multi-source data, significantly improving the ability to extract the correlation features of multi-physics parameters under complex service environments. Combined with Monte Carlo simulation to generate fatigue life probability distribution curves, it provides prediction results including confidence intervals, offering a more scientific quantitative basis for equipment maintenance decisions.

An automated corrosion prediction system includes a processor and a memory communicably coupled to the processor and storing machine-readable instructions. The machine-readable instructions, when executed by the processor, cause the processor to train a multimodal machine learning (ML) model with data from a plurality of corrosion-related databases, execute an image analysis of an image of a corrosion product on a substrate and identify features of the image, map the image analysis to a description of the identified features, provide the description to the trained multimodal ML model, and automatically predict, within 60 seconds from receiving the description, at least one of a type and a chemistry of the corrosion product from the description using the trained multimodal ML model.

Deposit prediction device, which is a device used in an injection molding machine (1) which includes an injection unit (11) which injects a molding material into a molding unit (101) and which predicts a deposit in the molding unit (101), wherein the deposit prediction device comprises: a gas analysis unit that analyzes a generated gas (Gg) from the injection unit (11) and / or the molding unit (101) and that measures the production quantity of a material gas derived from the molding material; and a deposition estimation unit that estimates an adhesion quantity of the deposition in the molding unit (101) from the amount of material gas produced based on material decay information in respect of a relationship between an amount of non-volatile component produced and an amount of volatile component produced in a case where the molding material is heated.

The utility model discloses a cyclic heating compression molding die, which comprises a die base, a base heating cavity, a pressing plate, a pressing plate and a pressing plate, a forming cavity axially penetrating through the mold cavity is formed in the mold cavity, and a mold cavity heating cavity is formed in the outer side of the forming cavity; the mold cavity is arranged on the mold base, so that the mold base can block the first end of the forming cavity; and the mold core can be inserted into the forming cavity from the second end of the forming cavity, and a mold core heating runner is arranged in the mold core. According to the utility model, a material to be molded in the molding cavity can be better heated, and the heating efficiency is improved; and meanwhile, the temperature difference of different positions in the forming cavity can be reduced, the forming requirements of high polymer materials, semiconductor packaging materials and the like on temperature-sensitive materials are met, and the problem that the materials are degraded or cured unevenly due to local overheating is solved.

The present application relates to the technical field of wind power tower monitoring, and discloses a wind power tower health monitoring method and system. The method collects structural vibration signals and environmental load data of the wind power tower, extracts dynamic response characteristics of the tower, and establishes a basic monitoring data set of the tower operation state in combination with the environmental load data; the basic monitoring data set is subjected to multidimensional decomposition processing, and the inherent frequency component, damping characteristic parameter and external excitation coupling component of the tower are separated out; a first evaluation index of the tower structure health is constructed according to the correlation between the inherent frequency component and the damping characteristic parameter; historical damage records and material degradation data of the tower are obtained, the historical damage records are subjected to time sequence alignment analysis with the external excitation coupling component, and a second evaluation index of the tower damage evolution is generated; the first evaluation index and the second evaluation index are fused, a comprehensive scoring model of the tower health state is established, the health grade of the tower is divided, and a real-time monitoring report is output.

The invention discloses a non-metal pipeline aging performance in-situ sampling test structure and method, and belongs to the technical field of non-metal pipeline tests.The test structure is mainly composed of a first valve, a second valve and a third valve which are connected in series, the front end area of the first valve and the rear end area of the third valve are a first conventional access section and a second conventional access section which are used for accessing a normally used pipeline, and the area among the first valve, the second valve and the third valve is a test section which is divided into a first test section and a second test section which are used for accessing a test pipeline; and in cooperation with a corresponding testing method, parts, which are prone to aging, swelling and other material deterioration, in the non-metal pipeline can be regularly disassembled and replaced in the using process, and material performance change testing can be conducted.

This invention proposes a performance analysis method, apparatus, equipment, and medium for cemented riprap protective structures, relating to the field of performance testing technology for cemented riprap protective structures. Addressing the shortcomings of existing technologies in studying gridded cemented riprap, such as the disconnect between macroscopic scour morphology and material performance evolution, and the inability of short-term test results to reflect performance degradation over decades of service, which prevents the establishment of a quantitative relationship between material degradation and structural failure and hinders long-term protective performance prediction, this invention obtains scour pit volume evolution data through flue model tests, establishes a strength attenuation model by combining it with material erosion tests, equates scour damage under wave-current loading to material erosion time, and corrects material strength in real time based on the equivalent damage age, ultimately constructing a scour pit development rate model to predict long-term protective performance.

The application discloses a kind of offshore wind power main engine cabin structural member quality monitoring method, specifically related to structural health monitoring technical field, including in structural member surface preposition flexible sensing array network, according to stress concentration and corrosion sensitivity differentiation configuration three kinds of sensors;In the interior of structural member, the acoustic waveguide network of co-curing with matrix is embedded, and the internal propagation signal acquisition is realized by coded acoustic wave excitation and reception;Under the action of environmental load, the response of multiple physical fields and acoustic signals are synchronously collected, and time-space alignment and feature extraction are carried out;Based on deep space-time graph convolution network, a structural state evolution model is constructed, the sensing data is mapped to a dynamic graph structure, and the node and edge association relationship is dynamically updated through an adaptive graph learning mechanism;Using multi-layer space-time convolution and attention fusion mechanism, three-dimensional visualization positioning and quantitative evaluation of structural member internal damage initiation, surface crack propagation and material degradation degree are realized.

The application discloses a fatigue life prediction method for selective laser melting aluminum alloy, comprising the following steps: introducing a damage variable to describe material degradation based on the basic concept of continuous damage mechanics, realizing the description of a constitutive equation coupled with damage, and establishing a damage evolution equation considering the additive manufacturing process according to a reference laser volume energy density; obtaining the parameters of the constitutive equation and the damage evolution equation according to the uniaxial tensile test results and the fatigue test data; establishing a numerical calculation method based on the finite element method according to the constitutive equation coupled with damage and the damage evolution equation, realizing the simulation calculation of the fatigue process of the additive manufacturing material, and carrying out the fatigue life prediction of the test piece under different additive manufacturing process parameters. The technical scheme of the application realizes the fatigue damage analysis of the aluminum alloy test piece manufactured by the selective laser melting process considering the additive manufacturing process parameters.

The invention discloses an in-service concrete box girder bridge bending dynamic response calculation method considering the influence of material degradation, which comprises the following steps: step 1, determining degradation indexes of two materials, namely reinforcing steel bars and concrete; 2, according to the concept of cross section conversion, the area of the degraded steel bars is converted into the cross section of concrete; 3, constructing a box girder shear lag shear deformation dynamic displacement mode considering material degradation; 4, a concrete box girder dynamic response control differential equation considering material degradation is established; and 5, solving the dynamic response of the concrete box girder considering material degradation. Analytic solutions of shear lag additional dynamic deflection, total section torque and longitudinal dynamic stress can be derived according to a dynamic deflection control differential equation, and the calculation process is visualized by utilizing programming software, so that engineering application is facilitated.

The present application relates to the technical field of civil engineering evaluation, and particularly relates to a method and system for evaluating performance of a concrete structure in a marine environment, which comprises the following steps: inputting engineering information and environmental parameters; determining analysis components and section parameters; establishing a probability model of key parameters; setting an analysis period and a time step; performing chloride ion diffusion and steel corrosion analysis; carrying out time-varying degradation analysis of material performance; calculating time-varying resistance of components; establishing a time-varying probability model of structural resistance; and evaluating long-term performance of the structure. The present application integrates chloride ion erosion, steel corrosion, material degradation, time-varying resistance of components and reliability analysis to form a whole-chain evaluation system from environmental input to safety grade division, which can dynamically reflect the evolution law of the bearing capacity of the structure in the whole life cycle and provide quantitative basis for durability design, service state evaluation and maintenance decision of reinforced concrete structures such as high-pile wharfs in the marine environment.

The invention relates to the field of material deterioration detection in regular inspection of austenitic stainless steel special equipment, in particular to a grain size rating method based on austenite feature extraction. The invention aims to provide a grain size rating method based on austenite feature extraction. According to the technical scheme, the grain size rating method based on austenite feature extraction comprises the following steps that 1, austenitic stainless steel is preprocessed, metallographic equipment shoots the austenitic stainless steel to obtain a metallographic photo I, and contrast enhancement processing is conducted on the metallographic photo I to obtain an image A; 2, inputting the image A into a deep learning image feature point extraction network, and outputting an austenite grain region feature point set P; 3, inputting the image A and the austenite grain area feature point set P into a semantic segmentation network, and outputting an austenite grain area feature mask O; and 4, calculating the average diameter Dr through the austenite grain area feature mask O, and taking the average diameter Dr as an austenite grain size rating index.

This invention discloses a method and system for modeling the life of rupture discs based on material degradation, belonging to the fields of computer-aided engineering and pressure vessel safety technology. The method includes: establishing an initial constitutive model and material fingerprint database for in-service rupture discs; constructing a real-time sensing field of multi-source service environment parameters and rupture disc state parameters; establishing a material property degradation model coupled with a chemical corrosion thinning sub-model, a high-temperature tissue softening sub-model, and a fatigue damage accumulation sub-model; constructing a dynamic mapping equation between the amount of microscopic material degradation and the macroscopic burst pressure shift; using a particle filtering algorithm to achieve dynamic prediction and reliability assessment of remaining life; and employing an edge-cloud collaborative architecture. This invention solves the technical problem of limited prediction accuracy caused by the disconnect between macroscopic monitoring and microscopic mechanisms, achieving quantitative mapping and dynamic sensing of microscopic degradation and macroscopic failure.