34 results about "Stress change" patented technology

The invention provides a bridge joint design and maintenance method and device, equipment and a medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: simulating the stress change of a joint in a future time period through a bridge joint model under different bridge parameters and joint parameters of a bridge; taking multiple groups of different bridge parameters as input data, and taking corresponding joint parameters and stress changes as output data to construct a sample data set; training the long and short-term memory network by using a sample data set to obtain a seam calculation model; inputting the bridge parameters of the to-be-jointed bridge into the joint calculation model to obtain the joint parameters of the to-be-jointed bridge and the stress change of the joint in the future time period; formulating a maintenance strategy of the joint according to the stress change of the joint in the future time period; the stress condition of the joint is monitored in real time, and when the stress of the joint exceeds a limit value, an early warning signal is sent; according to the method, joint parameters and future stress changes can be accurately predicted, so that an accurate joint design and maintenance strategy is realized.

The invention provides a mass flow meter measurement compensation method and system combined with pipeline stress perception, and relates to the technical field of instrument correction. The method comprises the steps that an original stress data set is obtained; constructing a stress characteristic parameter set; constructing a sensor parameter set; based on the stress characteristic parameter set and the sensor parameter set, calculating the stress variation of the pipeline in the axial direction, the radial direction and the torsion direction to obtain a stress variation data set; utilizing the stress change data set and the sensor parameter set to establish a coupling model of the pipeline stress change to the vibration frequency and the phase signal of the sensing pipe, and calculating a corrected mass flow value; according to the comparison result of the corrected mass flow value and the calibration point in the long-term operation process, a parameter optimization algorithm is applied to conduct self-adaptive adjustment on the coupling coefficient, and coupling model optimization is achieved. The technical problem of measurement deviation caused by external stress, structural deformation and dynamic load in the prior art is solved.

The invention provides a shock absorber valve system fatigue life prediction method and system, and the method comprises the steps: building a shock absorber valve system fatigue life parameterized model through a fluid mechanics and finite element analysis method, and inputting related parameters which affect the damping force as the characteristic variables of the model; the effectiveness of a shock absorber indicator diagram and a damping force rapid verification model is analyzed through simulation, parameters are examined in time, optimization is made, and meanwhile preloading-valve opening-valve closing stress serves as a cycle period; and the vibration damper valve system stress change is used as a single stress cycle of fatigue analysis stress to quickly and efficiently analyze the fatigue life of the vibration damper valve system combination. According to the method for predicting the fatigue life of the valve system, the fatigue life of the damper valve system combination can be rapidly and efficiently analyzed, and simulation and test error precision obtained through a large number of actual measurement benchmarks can be controlled within 10%.

The invention discloses a bridge support column stress analysis method, which relates to the technical field of stress analysis, establishes a corresponding relation between shooting time data and an experiment support column image, and calculates displacement field data of pixel points between the experiment support column image and a current support column image. According to the method, non-contact measurement is adopted, the stress state of the bridge supporting column can be comprehensively monitored, the stress distribution diagram of the bridge supporting column can be monitored, the stress distribution diagram of the bridge supporting column can be monitored, and the stress distribution diagram of the bridge supporting column can be established according to the plane stress condition and the plane strain condition of the bridge supporting column. The interference of the traditional contact measurement on the stress distribution of the support column is avoided, and the measurement accuracy is improved. Meanwhile, real-time monitoring can be achieved, stress changes can be rapidly captured, the stress state is clearly displayed through visual plane stress and strain distribution diagrams and color codes, a scientific basis is provided for bridge safety assessment and maintenance, and the efficiency and safety of bridge management are effectively improved.

The application discloses a water gate structure stress and seepage flow intelligent monitoring system, and belongs to the technical field of water conservancy projects.The system comprises a stress monitoring module, a seepage flow collecting module and a data processing and analysis module.The stress monitoring module is used for monitoring the stress change of the water gate, including the stress change of key parts, wherein the key parts include a gate pier, a gate and a breast wall.The seepage flow collecting module is used for collecting the seepage pressure and seepage flow of the water gate.The data processing and analysis module is used for processing the stress change, seepage pressure and seepage flow, including cleaning and correction.The application can monitor the stress change of the key parts of the water gate, collect the seepage pressure and seepage flow, obtain more comprehensive and accurate monitoring data, and perform fusion processing on the data, so that the limitation of relatively independent data in traditional monitoring is broken, mutual verification and supplement among the data are realized, the safety state of the water gate is comprehensively evaluated from multiple dimensions, and the accuracy and reliability of monitoring are improved.

The invention relates to the technical field of structural stability analysis, in particular to a support hanger instability early warning method fusing stress and angle data, which comprises the following steps: synchronously acquiring real-time axial stress and space pitch angle of a support hanger node, and generating a time sequence data pair; calculating a stress change rate and an angle change rate; constructing a stress-angle deviation index; setting a dynamic threshold value according to the real-time thermal displacement speed of the pipeline; and when the duration when the stress-angle deviation index is greater than the dynamic threshold exceeds the early warning time window T, determining that the constraint is invalid and triggering early warning. Compared with a traditional monitoring method which only depends on stress or displacement judgment, early coupling instability symptoms such as structural rigidity degradation, gap slippage and thermal expansion constraint imbalance can be effectively captured, and high-sensitivity response to dynamic structural behaviors is achieved.

The application provides a pipeline stress-aware mass flowmeter measurement compensation method and system, relates to the technical field of instrument correction, and the method comprises the following steps: obtaining an original stress data set; constructing a stress characteristic parameter set; constructing a sensor parameter set; calculating stress change amounts of the pipeline in axial, radial and torsional directions based on the stress characteristic parameter set and the sensor parameter set, and obtaining a stress change data set; establishing a coupling model of pipeline stress change on sensor vibration frequency and phase signal by using the stress change data set and the sensor parameter set, and calculating a corrected mass flow value; and according to the comparison result of the corrected mass flow value and a calibration point in a long-term operation process, applying a parameter optimization algorithm to adaptively adjust the coupling coefficient, so that the coupling model is optimized. The technical problem of measurement deviation caused by external stress, structural deformation and dynamic load in the prior art is solved.

The present application relates to the technical field of structural stability analysis, and particularly relates to a support and hanger instability early warning method fusing stress and angle data, comprising the following steps: synchronously collecting real-time axial stress and spatial pitch angle of a support and hanger node to generate a time series data pair; calculating stress change rate and angle change rate; constructing a stress-angle deviation index; setting a dynamic threshold according to a real-time thermal displacement speed of a pipeline; when the stress-angle deviation index is greater than the dynamic threshold for a duration exceeding an early warning time window T, determining that the constraint is invalid and triggering early warning. Compared with a traditional monitoring method relying only on stress or displacement, the present application can effectively capture early coupling instability signs such as structural stiffness degradation, gap slip and thermal expansion constraint disorder, and realize high-sensitivity response to dynamic structural behavior.

The invention discloses a method for evaluating the fatigue performance of a pipe joint, which comprises the following steps of: establishing an equivalent calculation model of a pipe joint forming process and an equivalent calculation model of a rotating bending fatigue process, simulating the rotating bending fatigue process, and identifying to obtain the stress level Ai of a guide pipe and the pipe joint at 0 moment; and identifying the position of the maximum stress change point of the conduit and the pipe joint and the stress amplitude Bi of the point. According to the material equal-life curve and the S-N curve, obtaining a relation curve of stress levels and stress amplitudes of the guide pipe and the pipe joint with the fatigue life of the pipe joint within 10 million times, and extracting a stress amplitude Ci corresponding to the stress level Ai in the relation curve; if so; ci, evaluating that the pipe joint meets the fatigue life requirement; and if Bi is greater than or equal to Ci, evaluating that the pipe joint does not meet the fatigue life requirement. The bending fatigue performance can be simulated and predicted, the verification period of the rotating bending fatigue test is remarkably shortened, and the method has good practicability.

The present invention relates to a method for expressing physical properties when there is a change in strength in the plastic region of an elastic material, the method including: a region setting step of setting, in a first material and a second material obtained by pre-straining and heat-treating the first material, a basic region indicating the relationship between strain and stress in the first material and a change region indicating a portion of the change in stress according to strain due to factors caused by pre-straining and heat treatment of the second material; and a simulation step of expressing the relationship between stress change and pre-strain amount in the change region as a Boltzmann function, and deriving the relationship between strain and stress due to the second material as the sum of the stress according to strain in the basic region and the change region.

The application discloses a kind of rock burst damage phenomenon's fraction compensation control method, belong to geotechnical engineering technical field, comprising the following steps: S1: geological exploration;S2: prestressed anchor cable system construction;S3: place, fixed stress monitoring element;S4: anchor cable placement and hole grouting treatment;S5: initial tensioning;S6: rock burst section excavation;S7: fraction compensation tensioning;S8: rock burst zone excavation is completed.The application uses anchor cable prestressed tendon, cooperates the real-time stress monitoring result of rock mass, obtains the stress change of rock mass after stress release under external force, according to stress change, fraction compensation tensioning is carried out to prestressed anchor cable, to meet the external force acting on rock mass, reach the balance when rock mass is undisturbed, avoid the harm caused by rock burst.

The application relates to the technical field of injection molding process control, and discloses an intelligent regulation and control elimination method and system for internal stress of an injection molded part. The method is used for monitoring temperature and time data in the forming process of the injection molded part in real time, constructing a stress distribution field in a glass transition temperature interval through numerical simulation, extracting a threshold value in combination with a material characteristic database to determine a stress change turning point time position, comparing stress locking stage values based on the time position, dividing a high-risk area and determining an intervention priority, screening an intervention opportunity window, establishing a dynamic corresponding relationship between time and stress, and determining an optimal intervention time point for internal stress regulation under the condition that stress is not completely locked and elimination efficiency is optimal. The application can accurately position an internal stress intervention opportunity, improve stress elimination efficiency and injection molded part forming quality, effectively avoid problems such as deformation and cracking caused by excessive internal stress, and adapt to the intelligent regulation and control requirements of high-precision injection molding.

The invention relates to the technical field of mine safety monitoring and disaster early warning, in particular to a stress co-evolution point column type filling stope roof health diagnosis and early warning method. The method comprises the steps that a monitoring system is arranged, and three monitoring points are arranged in a roof rock mass right above point columns, in a roof rock mass between adjacent point columns and in a roof rock mass supported by the maximum-span point-free columns respectively; collecting three-dimensional stress data monitored by each group of monitoring points, and synchronously recording the mining progress; determining the length of a monitoring time window according to the mining progress; calculating a roof danger index, wherein the roof danger index comprises a load transfer ratio, a stress change collaboration degree, a horizontal constraint weakening index and a principal stress change increment trajectory angle; and calculating the dynamic roof health degree according to the roof danger index, and performing roof health diagnosis and graded early warning. By adopting the method, the cooperative working state of the point column top plate structure can be dynamically sensed, and accurate and advanced top plate health diagnosis and early warning can be realized.

The invention belongs to the field of heat treatment, and particularly relates to a cutting tooth body gradient heat treatment method and system based on a stress nephogram, and the method comprises the steps: obtaining a cutting tooth initial stress three-dimensional model, combining a first relation coupling model with a constraint space through finite element simulation, and generating a simulated stress distribution nephogram and a failure risk probability under multiple working conditions; based on stress nephogram feature extraction and partition performance mapping, outputting a partition result sequence; calling a process template knowledge graph, and generating a partition process parameter sequence through a twin matching model; a temperature control fuzzy control model is used for implementing real-time heat treatment, a temperature-stress change rate mapping function is built in the model, and a machining stress nephogram is synchronously monitored and fed back to the coupling model for failure risk dynamic simulation; adjusting the process parameters in real time according to the risk probability threshold until the safety threshold is met; according to the method, failure risk-driven closed-loop intelligent heat treatment is realized, the wear resistance and the fatigue resistance of the cutting pick are remarkably improved, and the risk probability of early fracture is reduced.

This invention relates to a method for expressing the physical properties of an elastic material when there is a change in strength in a plastic region. The method includes: a region setting step, wherein the region setting step defines a base region indicating the relationship between strain and stress in the first material and a variation region indicating the portion of stress change according to strain caused by factors induced by the pre-straining and heat treatment of the second material in a first material; and a simulation step, wherein the simulation step expresses the relationship between stress change and pre-strain in the variation region as a Boltzmann function, and derives the relationship between strain and stress in the second material as the sum of stresses according to strain in the base region and the variation region.

The application discloses a method for converting strain rate by using an environmental fatigue correction factor, and the method is based on the peak stress and the valley stress of transient combination in fatigue calculation, and the average strain rate and the strain range are calculated, and the environmental fatigue correction factor under each combination is obtained by weighting. The method can consider the influence of the stress history of the structure on the environmental fatigue correction factor by considering the peak value and the valley value in the stress change history, and the influence of the transient stress fluctuation can be simplified and enveloped by the average effect of the peak value and the valley value stress, so that the method is suitable for a wide range of applications.

This invention discloses a test device for monitoring deformation and stress changes in roadway surrounding rock, comprising: a mounting plate with four L-shaped vertical plates; a pressure assembly including multiple vertically mounted, rectangularly arranged pressing components on the mounting plate, each pressing component having a downward-facing telescopic end and a pressure plate at each telescopic end, the pressing components driving the pressure plate downward to apply test pressure to the test specimen; a detection assembly with a moving trolley at its bottom, the moving trolley driving the detection assembly to move closer to or further away from the test specimen, the detection assembly being able to insert into the corresponding test position on the test specimen during movement, and also being able to rotate, expand, or retract to cooperate with the pressing components in performing test measurements on the test specimen; and a sensing assembly mounted on the mounting plate. This invention can simulate relevant roadway conditions and perform test monitoring, thus facilitating practical use.

The invention discloses a control loop vertical ring stress trend identification method based on regression fusion, and relates to the technical field of hydroelectric generating set operation and maintenance monitoring and fault early warning, and the method comprises the steps: collecting related data of a control loop vertical ring, and carrying out the preprocessing; acquiring historical operation data lasting for a preset duration, and taking the historical operation data as a health reference sample; obtaining a regression prediction equation based on the health reference sample; calculating the statistical magnitude of the vertical ring stress of the control ring, and generating a dynamic statistical reference for real-time monitoring; calculating a real-time predicted stress by using the regression prediction equation, and comparing the real-time stress with the real-time predicted stress and a statistical reference to obtain a stress deviation index and a stress fluctuation index; and performing multi-stage judgment according to the stress deviation degree index and the statistical reference. According to the method, the quantitative relation between the working condition parameters is constructed through the linear regression method, prediction of the stress change trend is achieved, and multi-level health state recognition is achieved through multi-index judgment.

The present invention discloses a two-dimensional simulation method and system for the dynamic evolution of the goaf stiffness. The method includes: determining the working face length parameter, setting the goaf filling interval distance based on the working face length parameter, and deriving the stress change rules of different goafs according to the goaf filling interval distance; determining the stress change characteristics of the pressurized area, decompression area, and stable pressure area of different goafs according to the stress change rules; constructing a goaf model based on the stress change characteristics of the pressurized area, decompression area, and stable pressure area of different goafs, and simulating the dynamic parameters of the abutment pressure growth rate of the goaf through the goaf model and the mechanical properties of the caved gangue. By determining the pressure action characteristics of each area of the goaf, the change relationship between the abutment pressure growth rate and the stiffness of the goaf is simulated, and then the influence of the stiffness on the force borne by the overlying strata is simulated, thereby providing reference conditions for the length setting of the goaf and improving the convenience.

The invention relates to the technical field of rehabilitation monitoring, in particular to a surface electromyogram signal-based exercise ability rehabilitation monitoring system for the elderly at home. The data acquisition module is used for acquiring pressure and electromyographic signal time sequence data of each monitoring point of the intelligent mattress, determining a pressure core point according to a pressure value difference at each moment, and reflecting a main stress position; the monitoring weight analysis module analyzes the pressure value change to determine a human body state change index, further determines a pressure stable node, analyzes the position relation between a monitoring point and a pressure core point and the pressure change trend under the pressure stable node, and determines a monitoring weight, so that data acquisition and analysis are more targeted; the monitoring necessity analysis module integrates various factors to obtain the monitoring necessity degree value of each monitoring point at each moment, and reflects the importance degree of the monitoring point on rehabilitation monitoring; and the rehabilitation condition monitoring module accurately intercepts electromyographic signal segments in sequence to truly reflect the muscle activity of the old people during effective movement, so that the rehabilitation evaluation is more accurate and credible.

The present invention provides a method for radiative pyrometry of aircraft interior components, relating to the technical field of aircraft interior component testing. The method includes establishing a radiative heat source system comprising multiple radiative heat source devices with adjustable wavelength and radiation intensity. These radiative heat source devices simulate the radiative heat environment of an aircraft during different flight phases, and automatically adjust the wavelength and radiation intensity of the radiation sources to simulate the actual radiative heat source environment during flight. This method integrates multi-dimensional thermal monitoring, thermal deformation and stress monitoring, automated visual analysis, and artificial intelligence data analysis to accurately capture the thermal response, stress changes, and surface damage of components in radiative high-temperature environments.

The invention discloses a sluice structure stress and seepage intelligent monitoring system, and belongs to the technical field of hydraulic engineering, and the system comprises a stress monitoring module which is used for monitoring the stress change of a sluice and monitoring the stress change of key parts, and the key parts comprise a sluice pier, a sluice gate and a breast wall; the seepage collection module is used for collecting seepage pressure and seepage quantity of the water gate; and the data processing and analyzing module is used for processing the stress change, the seepage pressure and the seepage flow, and the processing comprises cleaning and correction. Stress change monitoring can be carried out on key parts of a water gate, seepage pressure and seepage flow are collected, more comprehensive and accurate monitoring data can be obtained, fusion processing is carried out on the data, the limitation that the data are relatively independent in traditional monitoring is broken through, mutual verification and complementation of the data are achieved, and the monitoring accuracy is improved. The safety state of the water gate is comprehensively evaluated from multiple dimensions, and the monitoring accuracy and reliability are improved.

The application discloses a stress-life model considering the influence of stress gradient and micro-sliding amount of the edge of a contact area in a plane contact state, designs a mathematical model for calculating the fatigue life of a component by using stress in the plane contact state considering the plane stress gradient and the influence of the micro-sliding of the contact area, and introduces the stress gradient of the edge of the contact area and the sliding displacement amount of the edge of the contact area for the plane contact problem on the basis of the most basic stress-life equation, and corrects the stress term on the left end of the equation, so that the stress-life model has good fitting effects on high-cycle fatigue and low-cycle fatigue and has good physical significance. When the stress-life model is applied, only the data of the stress change and the relative sliding amount of the structure are needed, and then the life prediction calculation can be performed, so that the process of the fatigue life prediction is simplified.

The invention discloses an intelligent storage monitoring management platform based on intelligent data analysis. The intelligent storage monitoring management platform comprises a sensing detection module, an ideal analysis module, an influence calculation module, a fatigue prediction module, a risk early warning module, an abnormal fluctuation identification module and a group comparison module. The system constructs a stress evolution curve of each structural part through multi-point stress detection, extracts paragraphs with high similarity at the initial stage of detection, establishes an ideal evolution model in combination with tray physical parameters, and further constructs an ideal stress change trend. The system calculates a deviation value between an actual curve and an ideal curve through slope difference integration, forms a structural part influence factor, and dynamically corrects a fatigue prediction trend according to the structural part influence factor. Through combination of abnormal fluctuation identification and a group reference comparison mechanism, the early warning capability and robustness of the system are improved, and the method is suitable for long-term fatigue monitoring and risk management of trays in scenes of refrigeration houses, storage and the like.

The invention discloses a natural environment test rack with a vibration function and a use method thereof, the natural environment test rack comprises a frame, the frame is provided with a clamping part used for installing a sample, the frame is provided with a horizontally arranged spring, one end of the spring is connected to the frame through a movable assembly, and the other end of the spring is suspended; the clamping part is mounted at the suspended end of the spring; in the test process, when the movable assembly is subjected to external force, the spring vibrates and drives the clamping part to vibrate; the application method comprises the following steps: controlling the first motor, the second motor and the third motor to operate, so that the lever swings or rotates to drive the spring to vibrate and drive the clamping part and the sample to vibrate. By adopting the scheme of the invention, the attitude and stress change condition of the aircraft wing plate in the actual use process can be accurately simulated, especially the vibration working condition of the aircraft wing plate in the use process can be simulated, and the test attitude of the aircraft wing plate can be flexibly adjusted; accurate natural environment test on the aircraft wing plate is realized in a low-cost and simple manner.

The present application relates to the technical field of mine safety monitoring and disaster early warning, and more particularly to a stress synergistic evolution point column filling stope roof health diagnosis and early warning method. The method steps are: arranging a monitoring system, setting three monitoring points in the roof rock mass directly above the point column, in the roof rock mass between adjacent point columns, and in the roof rock mass without point column support with the maximum span; collecting three-direction stress data monitored by each group of monitoring points, and synchronously recording the mining progress of the mine; determining the monitoring time window length according to the mining progress of the mine; calculating the roof danger index, which includes the load transfer ratio, the stress change synergy degree, the horizontal constraint weakening index, and the main stress change increment trajectory angle; calculating the dynamic roof health degree according to the roof danger index, and performing roof health diagnosis and grading early warning. By using the above method, the synergistic working state of the point column roof structure can be dynamically perceived, and accurate and advanced roof health diagnosis and early warning can be realized.

The application discloses a stress test and dangerous area evaluation method for an intermittent heat source heat storage tank of a fusion device, belongs to the technical field of performance detection of core equipment of an energy storage system of a fusion device, and aims at liquid level periodic change and thermal-mechanical coupling problems caused by intermittent operation of a fusion reactor. The application reproduces a heat storage tank operation process by simulating liquid level circulation and thermal loss boundary conditions under actual working conditions. Strains are monitored by using a layered point distribution mode to obtain stress change rules, maximum stress values and amplitudes in a complete period. On this basis, strength and fatigue dangerous areas are identified, and dynamic migration characteristics of the dangerous areas with changes in a liquid level and a temperature interface are revealed. The application solves the problem that existing technologies cannot reflect dynamic coupling stress and dangerous area changes, and provides reliable data support for structural optimization design, strength checking and fatigue life analysis of the fusion heat storage tank.

The utility model discloses a natural gas pipeline stress monitoring alarm device, and belongs to the technical field of natural gas pipeline monitoring. Comprising a digital stress sensor and an intelligent remote controller, a data line is electrically connected between the digital stress sensor and the intelligent remote controller, and the intelligent remote controller is electrically connected with a pipeline electronic valve through a control line. When the stress change value in the natural gas pipe body received by the intelligent remote controller exceeds a preset threshold value, the intelligent remote electric control valve is closed to avoid continuous leakage of natural gas, and when the stress in the natural gas pipe body changes, whether the internal stress of the pipeline is normal or not can be visually observed through the color change of lamplight. Whether leakage or pressure increase occurs or not can be quickly judged, personnel can quickly recognize the problem conveniently, the base and the natural gas pipe body are connected into a whole through the positioner, the phenomenon that the threaded measuring head is loosened due to vibration is avoided, and the digital stress sensor can stably and continuously monitor and process.

The utility model discloses a sensor bolt which comprises a bolt body, a sensor mounting hole, a threaded base, a counterbore and a sensor. Compared with the prior art, the sensor is installed inside the bolt in a composite mode, the stress change condition can be monitored in real time, the overall stress state can be known, meanwhile, the temperature change can be monitored in real time, the situation of insufficient bolt pre-tightening force can be found in time, maintenance can be optimized, the service life of equipment can be prolonged, and the overall safety of a connecting structure can be improved. And subsequent intelligent management is facilitated.