51 results about "Material Degradation" patented technology

The invention relates to the technical field of offshore wind power, and discloses a bearing performance degradation evaluation method for an offshore wind power foundation structure, which effectively solves the problem of neglecting corrosion heterogeneity in the prior art by acquiring initial three-dimensional geometric point cloud data and historical service data and constructing a first finite element model. The model better fits the actual structure state; the local damage evolution and cumulative effect are simulated by means of a second finite element model, meanwhile, material degradation evaluation is combined, the interaction of three key factors including corrosion thinning, local damage and material mechanical property degradation is comprehensively considered, and the defect that the multi-factor coupling influence is not fully solved in the prior art is overcome; the extreme environment load condition is introduced to construct the third finite element model, the performance degradation law of the structure in the extreme environment can be analyzed, and then the reliability and applicability of evaluation are improved by establishing a mathematical relation model and predicting the full life cycle bearing performance.

The invention relates to the technical field of wind power tower monitoring, and discloses a wind power tower health monitoring method and system. The method comprises the following steps: acquiring structural vibration signals and environmental load data of a wind power tower drum, extracting dynamic response characteristics of the tower drum, and establishing a basic monitoring data set of the running state of the tower drum in combination with the environmental load data; performing multi-dimensional decomposition processing on the basic monitoring data set, separating an inherent frequency component, a damping characteristic parameter and an external excitation coupling component of the tower drum, and constructing a first evaluation index of tower drum structure health according to the relevance between the inherent frequency component and the damping characteristic parameter; historical damage records and material degradation data of the tower drum are obtained, the historical damage records and the external excitation coupling component are subjected to time sequence alignment analysis, and a second evaluation index of tower drum damage evolution is generated; and fusing the first evaluation index and the second evaluation index, establishing a comprehensive scoring model of the health state of the tower drum, dividing the health level of the tower drum, and outputting a real-time monitoring report.

The invention relates to the technical field of wire and cable materials, and discloses a high-temperature-resistant and aging-resistant wire and cable material and a preparation method thereof.The high-temperature-resistant and aging-resistant wire and cable material is prepared from, by weight, modified polyetherimide, silane modified polyolefin, organic montmorillonite, surface modified nanometer aluminum oxide and surface functionalized graphene, an antioxidant, a silane coupling agent and a processing lubricant; the preparation method of the high-temperature-resistant and aging-resistant wire and cable material comprises the following steps: weighing and preparing raw materials; carrying out surface modification treatment on the nanofiller; drying the raw materials; premixing the components; reacting, extruding and granulating; and cooling, bracing and dicing. By adopting the technical scheme of synergistic application of the surface functionalized graphene and the silane modified polyolefin, the technical effect of remarkably improving the thermal stability and the mechanical property of the composite material is achieved, the problem that the performance of a traditional scheme is unstable at high temperature is solved, and the phenomena of filler agglomeration and material degradation are avoided.

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 relates to the technical field of dynamics, and discloses a dynamic modeling method for a bolt boundary cone-column combined shell under a non-uniform temperature field, and the method comprises the steps: integrating the temperature dependence of material performance and a thermally induced stress field, developing a nonlinear bolt connection interface model, and considering the dynamic evolution characteristic of a friction coefficient along with the temperature. Accurate characterization of structural dynamic behaviors in a non-uniform thermal environment is realized, a non-uniform temperature field is efficiently reproduced based on a built-in heat source experimental platform, the reliability of a model is verified by combining modal and response tests, and the influence of thermally induced material degradation and an interface stick-slip mechanism on structural rigidity and damping is disclosed. The accuracy of vibration characteristic prediction in a high-temperature environment is improved, algorithm type refined matching is carried out based on the combination information of the static and dynamic waveforms of the track in combination with the artificial intelligence bionic algorithm and the standard waveform information stored by big data, the combination data of the static and dynamic waveform parameters of the track is constructed, and reliable support is provided for algorithm matching.

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 invention provides a wellhead device fatigue life prediction analysis method, and relates to the technical field of underground engineering, and the method comprises the following steps: collecting load spectrum, material degradation, environmental corrosion and historical maintenance data of a wellhead device, and establishing a four-dimensional damage factor matrix; performing preprocessing and feature fusion on the multi-source data; a self-attention LSTM network is constructed; according to the method, four key factors including a load spectrum, material degradation, environmental corrosion and historical maintenance are brought into a unified analysis framework through the four-dimensional damage factor matrix, the one-sidedness problem of single factor analysis in a traditional method is solved, and the attention weight among multi-source data can be automatically learned through the self-attention LSTM network; according to the method, the capability of extracting multi-physical field parameter correlation characteristics in a complex service environment can be remarkably improved, a fatigue life probability distribution curve is generated in combination with Monte Carlo simulation, a prediction result containing a confidence interval is provided, and a more scientific quantitative basis is provided for equipment maintenance decisions.

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 application discloses a method for evaluating the residual strength of a pipeline with corrosion defects under blasting vibration, and belongs to the technical field of oil and gas pipeline safety evaluation. In view of the problem that the traditional method only considers the corrosion geometric thinning and ignores the material dynamic performance degradation and spatial non-uniform distribution, leading to distorted evaluation, the application reconstructs the corrosion morphology based on detection data, constructs a corrosion damage variable, calibrates the damage-strain rate-material parameter mapping relationship through a mechanical test, establishes an explicit dynamic model of a pipeline-defect-soil-blast source, realizes non-uniform assignment of material performance in the corrosion area by using the UMAT subprogram of LS-DYNA, obtains stress, strain and damage state through nonlinear dynamic analysis, and completes the residual strength evaluation. The application couples the geometric defects and material degradation effect for the first time, greatly improves the evaluation accuracy and engineering applicability, and provides support for the safety control of pipeline blasting construction.

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 invention discloses an equipment fault feature recognition and inspection system based on a pressure vessel, and belongs to the field of pressure vessel testing. The system comprises a pressure vessel multi-working-condition recognition module, a pressure vessel valve basic fault feature recognition and analysis module, a pressure vessel valve dynamic torque online monitoring and analysis module, a pressure vessel valve corrosion state multi-mode detection module and a pressure vessel valve fault emergency degree evaluation and prediction module. According to the method, torque parameters reflecting the mechanical fastening state of the valve and corrosion parameters reflecting the material degradation state of the valve are combined, two-dimensional fault monitoring is carried out on the valve, comprehensive quantitative evaluation is carried out on the valve through trend analysis and corrosion data fusion monitoring of the effective fastening torque of the valve, and early warning of the valve is achieved. And the overall safety and the operation reliability of the pressure vessel system are improved.

The utility model relates to the technical field of insulators, in particular to an anti-aging insulator for electric power. The rubber and plastic insulator comprises a rubber and plastic insulator body, a main rod is arranged in the rubber and plastic insulator body, a cavity is formed in the inner wall of the main rod, and reinforcing ribs are fixedly arranged in the cavity; and short reinforcing ribs are fixedly arranged at the top and the bottom of the surface of the main rod. In the anti-aging insulator for electric power, through the arrangement of the fluororubber sleeve, the protective sleeve and the coating group, the fluororubber sleeve has relatively high thermal stability and low-temperature performance and can deal with extreme weather, when the rubber and plastic insulator body is exposed to the sun for a long time, ultraviolet rays can cause material degradation, and the titanium dioxide protective sleeve can reduce the damage of the ultraviolet rays to the material; the fluorinated coating can effectively prevent the external environment from corroding the material and delay aging, and the nano hydrophobic coating enables dirt, marl, water and the like not to be easily attached to the surface of the rubber and plastic insulator body, so that the aging resistance of the insulator is improved.

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.

A high-temperature, high-pressure and high-sulfur wellhead device integrity digital intelligent management system is provided with a sensor network, a signal processing module, an intelligent diagnosis module and a predictive maintenance module which are connected in sequence. The sensor network is used for collecting sensor data of each module of the wellhead device; the signal processing module is used for preprocessing the collected various sensor data; the intelligent diagnosis module comprises a material degradation prediction model, a sealing reliability evaluation model and a fault diagnosis AI algorithm model; the material degradation prediction model is used for predicting the corrosion rate of the wellhead device; the sealing reliability evaluation model is used for predicting the sealing stress of the wellhead device; the fault diagnosis AI algorithm model is used for fault diagnosis classification of the wellhead device; and the predictive maintenance module is used for generating a corresponding wellhead device maintenance decision according to the predictive diagnosis result of the intelligent diagnosis module. The device has the advantages that real-time monitoring, intelligent diagnosis and predictive maintenance of the high-sulfur-content wellhead device can be achieved, safe production is ensured, and the service life of the device is prolonged.

This invention discloses a method for structural health assessment of long-distance underground culverts, comprising: fusing acoustic and optical detection data to identify structural defects; performing underwater-to-dry conversion and correction of strength values ​​based on underwater rebound and core sampling test data to determine the corrected structural strength and material degradation parameters; combining defect, degradation, and historical monitoring data to perform structural evolution modeling and abrupt change risk identification, obtaining the structure's evolution characteristics and abrupt change risks; and comprehensively assessing the corrected structural strength, evolution characteristics, and abrupt change risks to generate structural health assessment and risk warning results. This invention enables accurate, dynamic, and comprehensive assessment of the culvert's health status, improving the reliability and early warning capability of the assessment results.

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 provides a plate-type racket manufacturing method, which comprises a material preparation step, a classification step, a heat insulation step, a cooling step and a bonding step, in the material preparation step, a plurality of processing components are prepared; in the classification step, the plurality of processing assemblies are classified into a pre-heat-insulation processing assembly and a non-heat-insulation processing assembly according to a heating characteristic and a pressurizing characteristic of the composition materials of the processing assemblies. And a heat insulation step: performing heat insulation temperature rise on the pre-heat-insulation processing assembly according to material characteristics to form a heat-insulated processing assembly. And a cooling step: cooling the heat-insulated and processed component to normal temperature. And a bonding step of connecting the heat-insulated processed component and the non-heat-insulated processed component by cold bonding. Therefore, material degradation / deterioration caused by consistent processing is avoided through classified processing, the quality of the plate-type racket is improved, and the performance of the plate-type racket is ensured.

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 discloses a method and system for predicting the service life of a prestressed concrete cylinder pipe protective layer, and the method comprises the steps: building a diffusion permeation model of a corrosive medium in concrete based on a Fick diffusion law and an Arrhenius equation, calculating the performance degradation data of a material through the diffusion permeation model, and outputting a material degradation index; the method comprises the following steps: associating elastic modulus degradation of a protective layer with a crack growth rate through an improved CDM continuous damage mechanics theory, introducing a coupling factor of a dynamic stress field and a corrosion medium concentration, establishing a stress damage coupling model, inputting the structural stress monitoring data and a material degradation index into the stress damage coupling model for updating, and determining the structural stress monitoring data and the material degradation index. And establishing a life prediction model based on an LSTM (Long Short-Term Memory) network, inputting the protection layer environment parameters, the material degradation index and the stress distribution into the life prediction model for prediction, and outputting the residual life of the protection layer. And the protection layer prediction accuracy and efficiency are improved.

The invention discloses a fault monitoring electric control stop valve, belongs to the technical field of electric control stop valves, and solves the problems that the failure root of the electric control stop valve is caused by that cavitation bubbles are generated when fluid flows through a slit at a high speed and shock waves generated by bubble collapse erode a valve seat and a valve core under the extremely high pressure difference at the moment of opening and closing, and the microscopic progressive internal damage cannot be perceived by conventional electrical inspection; and corrosion pits and scouring traces on the sealing surface can be found only by disassembling. Comprising a valve body, an electric actuator fixedly connected to the valve body through a connecting frame, and a valve element arranged in the valve body. When the device works, modulation electromagnetic field induction eddy current is applied to the surface of the valve body, the microcosmic thermal characteristics of cavitation corrosion in a material are accurately extracted by utilizing the thermal response characteristic difference of a damaged area and combining a synchronous infrared thermal imaging and phase sensitive detection technology, and early damage identification and early warning without disassembly are realized; the problem that recessive material degradation cannot be detected through traditional inspection is solved.

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.

The invention discloses a corrosion-resistant rare earth magnesium alloy and a preparation method thereof, and the corrosion-resistant rare earth magnesium alloy comprises the following components in percentage by mass: 1.5-2.5% of rare earth element, 0.5-1.5% of zinc, 0.2-0.8% of zirconium, 0.1-0.5% of calcium, 0.1-0.3% of manganese and the balance of magnesium. Elements such as rare earth, zinc and zirconium are precisely added in stages through a gradient smelting process, oxide inclusions and impurity residues are reduced under the action of argon protection and electromagnetic stirring, and local component segregation and galvanic corrosion tendency of melt are effectively inhibited; calcium and manganese elements are preferentially combined with trace impurities in the smelting process to form harmless compounds, so that the catalytic action of the impurities on the corrosion rate is reduced; the rare earth elements, zirconium and zinc have a synergistic effect to form a uniform and compact corrosion-resistant phase network, permeation erosion of a corrosive medium to a matrix in a physiological environment is delayed, the degradation rate of the material is dynamically matched with the regeneration period of bone tissues, meanwhile, the mechanical supporting strength is maintained through solid solution strengthening and precipitation strengthening, and the long-acting stability of alloy implantation is improved.

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.