294 results about "Structural fatigue" patented technology

The invention relates to the technical field of structural health monitoring and intelligent diagnosis, in particular to a structural fatigue damage identification method based on acoustic emission and deep learning, and the method comprises the steps: collecting a structural response signal under a fatigue load through an acoustic emission sensor array, inputting the structural response signal to a CNN-BiLSTM-Attention mixed deep learning model, and carrying out the recognition of the structural fatigue damage through the CNN-BiLSTM-Attention mixed deep learning model; the model extracts local time domain features through a dynamic adaptive convolution kernel, captures long time sequence dependence by using a bidirectional long-short-term memory network, focuses key damage features through a bimodal space-time attention mechanism, divides damage stages based on a nonlinear dynamic threshold algorithm of fracture opening amount, constructs a training data set of physical-data fusion, and performs dynamic time domain feature extraction. The learning rate is optimized by adopting a gradient sensitive cosine annealing algorithm, and the robustness of the model is improved in combination with an anti-noise and anti-loss function. The method integrates physical characteristics and an intelligent algorithm, and has the advantages of adaptive noise suppression, strong cross-domain generalization ability, high real-time performance and the like.

The invention provides a service life prediction method based on structural fatigue analysis of floating type offshore wind power equipment, and relates to the technical field of wind power generation. Equipment structure data of the floating type offshore wind power equipment is acquired, a sensor network is connected to acquire environmental load information, and a multi-body coupling simulation model is established based on the equipment structure data; environmental load information is input into the multi-body coupling simulation model for stress amplitude and load change, fatigue damage accumulation data is calculated based on the multi-body fatigue load spectrum, and the residual life of the floating type offshore wind power equipment is predicted through the fatigue damage accumulation data. The technical problem that in the prior art, unique stress characteristics and dynamic response of floating type offshore wind power equipment are ignored, and consequently the service life of the wind power equipment is predicted inaccurately is solved. The technical effects that the fatigue accumulation process of the floating type offshore wind power equipment is accurately calculated, and the operation safety and the service life prediction precision of the floating type wind power equipment are improved are achieved.

The invention provides a bridge structure fatigue crack propagation prediction method and system, and relates to the technical field of artificial intelligence. According to the method, structural parameter information of a bridge is collected, a three-dimensional model of the bridge structure is established through finite element analysis, and a fatigue crack propagation prediction model is established based on the fracture mechanics theory and a fatigue damage accumulation model; performing expansion simulation on preset cracks in the three-dimensional model of the bridge structure, calculating a crack expansion rate and predicting a crack expansion path, correcting a crack expansion simulation result in combination with an actual working environment and a load condition of the bridge structure, and calculating a crack expansion simulation result according to the corrected crack expansion simulation result. And predicting crack propagation information of the bridge structure in the preset time period. The method can accurately predict the expansion path, rate and future state of the crack under a complex working condition, thereby providing a scientific basis for maintenance and repair of the bridge, realizing real-time feedback and dynamic adjustment, ensuring high efficiency and accuracy of a prediction result, and providing a scientific basis for maintenance management of the bridge.

The invention discloses a bridge health prediction device based on a Beidou system and a monitoring analysis method, and relates to the field of bridge health monitoring. The method comprises the following steps: S1, deploying monitoring points at key structure nodes of a bridge, and collecting three-dimensional position information and multi-source data by using a Beidou system and a multi-type sensor; s2, constructing a time-varying displacement field and a continuous deformation tensor, fusing stress and strain to construct a structural fatigue factor, and introducing environmental disturbance to realize dynamic correction of the fatigue factor; s3, a health state function is constructed based on the stress response, the displacement gradient and the deformation tensor, a damage mapping function is constructed in combination with accumulated deformation and a historical threshold value, and a damage thermodynamic diagram is generated; and S4, finally fusing fatigue, health and damage indexes to evaluate bridge risks, and performing dynamic early warning. Through fusion of mechanical tensor features and environmental disturbance modeling, a multi-index linkage fatigue and damage assessment mechanism is constructed, and the precision, robustness and global perception ability of bridge health monitoring are improved.

The invention relates to the technical field of structural health monitoring, in particular to a wharf breakwater intelligent monitoring system which comprises a multi-modal data acquisition module, a data preprocessing module, a stress prediction module, a structural health assessment module, a self-adaptive early warning module and a remote monitoring and maintenance management module. A plurality of data such as sound waves, vibration, pressure, temperature and corrosion are collected in real time, data cleaning, denoising and standardization processing are carried out, a sparse auto-encoder model is used for extracting low-dimensional sparse features, the breakwater stress change trend is analyzed, and a comprehensive report of stress distribution, crack propagation, corrosion loss and structural fatigue is generated through structural health assessment. The early warning threshold value is dynamically adjusted through a self-adaptive early warning mechanism, an early warning notice is sent to a manager, the remote monitoring and maintenance management module supports real-time monitoring and remote configuration and scheduling of maintenance management of the breakwater, the structural safety of the breakwater is improved, the service life is prolonged, and the management efficiency is improved.

The invention discloses a copper bar connection state detection method and system, particularly relates to the technical field of copper bar state detection, and is used for solving the problem of poor early recognition of copper bar connection deterioration. According to the method, resistance and temperature rise conditions at the joint of the copper bars are measured synchronously in the load change process, signal denoising is realized in combination with finite difference filtering, and characteristic evolution conditions at the joint are captured; the method comprises the steps of determining an analysis window based on a real-time load change event, constructing a thermoelectric track point set and dividing a load rising and falling period, forming a continuous dynamic thermoelectric response curve, dividing a temperature rising track and a temperature falling track through a temperature change trend, extracting a resistance drift amount and a hysteresis loop area, and identifying a connection degradation trend and a structure fatigue characteristic. And connection state information generated by thermal stress action and thermal cycle asymmetry is obtained during load change, and a detection strategy is adjusted according to an analysis result, so that early degradation identification and intelligent risk grading of the copper bar connection state are carried out, and the sensitivity and accuracy of copper bar detection are improved.

The invention relates to a structural fatigue evaluation method and system for a tower drum of a wind turbine generator, equipment and a storage medium, and the evaluation method comprises the steps: S1, obtaining the shape functions of a plurality of nodes on a target tower drum; the plurality of nodes are uniformly divided along the height direction of the target tower drum; s2, acquiring operation data of a target wind turbine generator; s3, inputting the operation data and the shape function on each node into a preset wind turbine generator model to obtain a bending moment time sequence corresponding to each node on the target tower; s4, according to the bending moment time sequence of each node, the accumulated damage degree of each node is determined; and S5, according to the accumulated damage degree of the at least one node, outputting a structural fatigue evaluation result of the target tower drum. According to the evaluation method, the structural fatigue condition of the tower drum can be accurately estimated without depending on an external sensor.

The invention relates to the technical field of ultra-high performance concrete, particularly discloses a fatigue performance evaluation method for a steel-UHPC combined bridge deck slab, and is used for solving the problem that the fatigue damage evolution process of the steel-UHPC combined bridge deck slab in the life cycle is difficult to accurately predict due to the fact that an existing evaluation method does not consider the influence of structural fatigue performance degradation. And the evaluation result is likely to be unsafe. According to structural parameters and material attributes of a reinforced UHPC layer, fatigue performance evaluation of a reinforced UHPC component under the action of an axial tension fatigue load is carried out, fatigue performance analysis of a stud connecting piece in ultra-thin UHPC under the action of a shear fatigue load is carried out, bending fatigue performance analysis of a steel-UHPC-pavement composition board is carried out based on a five-point bending test, and the bending fatigue performance of the steel-UHPC-pavement composition board is analyzed. And a time-varying fatigue analysis framework of the steel-concrete composite effect degraded steel-UHPC composite bridge deck is established, so that the evaluation result is more reliable, and the risk of unsafety is reduced.

The invention relates to the technical field of intelligent operation and maintenance, in particular to a bridge maintenance system based on data analysis, which comprises a multi-source data acquisition module, a fatigue degradation monitoring module, a wave velocity anomaly positioning module, a risk collaborative judgment module and a maintenance task planning module. According to the method, structural fatigue characteristics are subjected to cross validation by integrating two-dimensional data of a strain sequence and a stress wave propagation parameter, and a dynamic window range deviation degree is adopted to replace a static threshold value to establish a datum reference linked with a bridge bearing period; a same-path propagation difference value is extracted by using a high-frequency and low-frequency stress wave frequency band energy separation technology to detect continuous overrun, and a degradation trend weight and a priority list of damage space distribution are generated in combination with multi-index coexistence verification and a hierarchical sorting strategy; resource allocation is optimized by integrating a multi-level response mechanism of emergency repair coordinate positioning, directional detection and regular inspection, accurate crack positioning is achieved, the early degradation trend capturing capacity is enhanced, the misjudgment risk is reduced, and an operation and maintenance response chain is shortened.

The invention relates to a method for detecting surface cracks of a steel rail, which comprises the following steps of: controlling the environmental temperature difference change of the steel rail to enable thermal response to generate a hysteresis phenomenon, inducing slight asynchronous thermal fluctuation with discontinuous and asymmetric thermal diffusion in a local area of a material surface layer, and exposing a potential crack boundary; non-contact low-intensity laser thermal disturbance multi-angle scanning is used for executing a disturbance penetration test, non-structural thermal anomalies are removed, and a real crack area is determined; carrying out attenuation curve recording on the thermal response after multiple rounds of disturbance excitation, and reversely deducing the integrity degree of the microstructure below the crack according to the disturbance settlement time so as to judge the structural fatigue grade; environmental steady state comparison is carried out on the same detection area, through comparison of temperature and humidity, wind speed and radiation environment parameter changes before and after disturbance, if the crack area still continuously shows thermal response abnormity under a constant environment condition, it is confirmed that the thermal characteristic is caused by a structural crack, and otherwise, misjudgment caused by external accidental interference is eliminated.

The invention discloses a titanium alloy weld joint fatigue life prediction method considering plasma welding process key parameters and a loading mode, and relates to the technical field of welding. Comprising the following three parts: firstly, detecting internal defect total information of a welding component with known process parameters by controlling welding process parameters and using a combined welding seam defect detection method; secondly, establishing a data model between the process parameters and the defect information of the welding component through a correlation analysis and random modeling method; and finally, through a fatigue experiment and high-precision simulation, establishing a prediction method for the fatigue life of the titanium alloy in consideration of the process parameters and the loading form. According to the method, the fatigue life of the weld joint structure under the action of the complex load stress spectrum can be predicted, the fatigue performance of the structure can be completely and accurately evaluated, guidance can be provided for welding engineers, optimization of welding design, selection of a proper welding process and adoption of corresponding post-welding treatment measures are helped, and the welding quality is improved. The fatigue performance of the welding seam structure is improved; and the service life is prolonged.

The invention provides a multi-axial fatigue damage evaluation method and device for a steel bridge welding seam considering welding residual stress, and relates to the technical field of fatigue strength analysis and service life prediction of a steel bridge structure. The method comprises the following steps: measuring three-dimensional residual stress in a geometric transition area of a steel bridge welding seam by adopting X rays, acquiring heat distribution and surface topography data in combination with infrared thermal imaging and structured light scanning, and realizing multi-source data space alignment based on a unified coordinate system; secondly, random disturbance is applied to the residual stress, stress fluctuation in service is simulated, and a robustness weight risk factor is constructed; the method comprises the following steps: constructing a bimodal deep neural network, adaptively fusing information of an infrared thermal imaging image and a welding seam three-dimensional topography image through an attention mechanism, training a fatigue risk regression model by taking a robustness weight risk factor as a supervision signal, completing prediction of risk factors at all positions, dividing low, medium and high risk levels based on a preset threshold value, and obtaining a fatigue risk prediction result. And accurate grading evaluation of the fatigue damage of the welding seam is realized.

The invention provides a bridge structure risk early warning method based on Bayesian decision and information value. According to the method, Bayesian prior analysis is carried out through structure monitoring data, a cost model comprises structure failure cost, maintenance cost and management and control cost, and a structure state model is obtained through structure fatigue reliability analysis. Bayesian prognosis test analysis is carried out in the next step, short-term future monitoring data distribution is predicted based on current monitoring data, then structural fatigue reliability analysis is carried out on the possibility of each kind of monitoring data, corresponding failure risk indexes are calculated, and information values are calculated based on a cost model. And finally, through maximizing the information value, obtaining an optimal structure early warning threshold value under Bayesian prognosis test analysis so as to determine the optimal early warning time. According to the self-adaptive structure risk early warning method, the early warning cost and the structure performance degradation are comprehensively considered, and rapid early warning decisions with safety guarantee and economic benefits can be achieved.

The invention belongs to the technical field of mechanical structure health monitoring and life prediction, and particularly relates to an engineering machinery bearing structure fatigue life intelligent monitoring method, which comprises the steps of 1, building a high-fidelity geometric model, 2, building a finite element model, 3, building a finite element simulation data set, 4, building a neural network agent model, and 5, building a neural network model. 5, working parameters and loading history are obtained; and 6, a visual operation and maintenance platform is integrated. According to the intelligent monitoring method for the fatigue life of the engineering machinery bearing structure, the evolution process of fatigue damage of the structure can be intelligently deduced based on the working parameters and the loading history of the structure, dynamic calculation of the residual life and real-time early warning of the service risk are achieved, calculation resources are saved, the fatigue life evaluation efficiency is improved, and the engineering machinery bearing structure fatigue life monitoring method is suitable for popularization and application. The problems of dependence on off-line simulation, response lag, discontinuous evaluation and the like in traditional structure life management are solved, the intelligent operation and maintenance level of the engineering machinery is effectively improved, and safe and efficient operation of the engineering machinery is guaranteed.

The invention belongs to the technical field of computer simulation, and particularly discloses a method, a system and equipment for predicting the fatigue life of a composite material patching and repairing structure. The prediction method comprises the following steps: establishing a composite laminated plate fatigue damage analysis method in combination with an improved Hashin criterion, finite element analysis, a strength degradation model, a rigidity degradation model and a Camanho material parameter degradation model; fatigue life prediction analysis is carried out on the non-porous laminated plate and the porous laminated plate by using the method; and comparing a prediction result with a test result, and verifying the effectiveness of the established composite material laminated plate fatigue damage analysis method. On the basis, a composite material fatigue damage analysis method and a cohesion unit are combined, and a repair structure fatigue life prediction model is established. The fatigue life prediction method for the repair structure is provided by taking the composite material patching and repairing structure as a research object, and has certain engineering practical significance and better practical value.

The invention relates to the technical field of unmanned aerial vehicle evaluation, in particular to an unmanned aerial vehicle structure fatigue prediction method and system, and the method comprises the steps: obtaining a sensor data set of a key structure part of an unmanned aerial vehicle; dynamically evaluating the data quality of the sensor data set, and dynamically adjusting a data cleaning preprocessing strategy according to an evaluation result; constructing a stress field model reflecting global stress distribution of the structure on the basis of the preprocessed sensor data set in combination with real-time flight environment parameters; and according to the stress field model and material fatigue characteristics, calculating a fatigue damage prediction value of each structural part. The objective of the invention is to improve the prediction precision of the fatigue damage of the unmanned aerial vehicle structure.

The invention relates to the technical field of port cranes and mechanical engineering, in particular to a crane structure fatigue life prediction method and system. The invention provides a crane structure fatigue life prediction method. The crane structure fatigue life prediction method comprises the steps that a finite element model of a crane structure is established, and a stress-load mapping relation matrix of crane structure nodes is generated through dimension reduction processing; collecting actual working data of the crane structure; performing data processing on the actual working data, and constructing an actual working load spectrum; based on the stress-load mapping relation matrix and the actual operation load spectrum, generating a stress-time history used for calculating the fatigue life structure node of the crane; and calculating the fatigue damage of the crane structure and predicting the residual fatigue life by combining a stress-life curve and an accumulative damage theory of a crane structure material. According to the method provided by the invention, online, real-time and accurate prediction and visualization of the fatigue life of all structures of the crane are realized, and a basis is provided for formulating an accurate operation and maintenance plan.

The SPAR type offshore wind turbine fairlead structure fatigue analysis method provided by the invention specifically comprises the following steps: calculating an equivalent effect variable amplitude value of a fatigue dangerous point by adopting a critical plane method to obtain a fatigue damage parameter, and calculating the fatigue damage parameter according to a modified Manson-Conffin formula and a Miner linear cumulative damage theory. The fatigue damage of the fairlead of the offshore wind turbine under different working conditions of ice thickness or ice speed under the combined action of wind-wave and wind-ice is accurately evaluated; by establishing a numerical model of the fairlead and considering the geometric structure and stress characteristics of the fairlead, the fatigue life of the fairlead is accurately calculated, and the fatigue life and fatigue reliability of the fairlead are analyzed. According to the method, the fatigue life of the fairlead of the offshore wind turbine under multiple working conditions is analyzed, the service life of equipment is prolonged, the reliability is improved, and the blank of research on the fatigue influence of ice load parameters on the floating mooring fairlead structure is filled.

The invention provides an energy storage container fireproof heat insulation performance evaluation method comprising the following steps: obtaining battery pack layout, temperature, electrolyte state and pressure change in an energy storage container, and carrying out pretreatment to obtain initial trigger characteristics of battery thermal runaway; acquiring material distribution and structural parameters of the bay firewall in the spraying erosion damage area, and simulating the erosion effect of high-temperature electrolyte spraying on the partition wall through a finite element analysis algorithm to obtain a partition wall damage distribution range; acquiring temperature gradient distribution data of the partition wall in the risk area where the fire breaks through isolation, and calculating thermal stress difference caused by temperature gradient to obtain the accumulation degree of structural fatigue; predicting the remaining service life of the partition wall structure according to the accumulation degree of structural fatigue, and adjusting the material thickness and the layered structure of the partition wall according to the design life requirement; and according to the generation probability of the partition wall cracks, dynamically updating the material ratio and the structure parameters of the partition wall, and generating a final firewall design scheme.

The invention discloses a fatigue damage assessment method, system and equipment for a dangerous part of a blade and a medium, and relates to the technical field of fatigue life assessment of a blade structure.The method comprises the steps that firstly, a coupling correction coefficient obtained based on equivalent stress amplitude is introduced to improve the nonlinear cumulative damage Miner theory; errors caused by insufficient description of the load sequence effect by a traditional linear means are reduced, so that a nonlinear cumulative damage model capable of representing a nonlinear relation between the load sequence effect and cumulative damage is established; then applying a unit equivalent stress amplitude boundary field to obtain an equivalent stress amplitude field, and simulating scalar damage evolution during circulation in a load mode based on isotropic continuous damage mechanics, so that nonlinear effects of thermal-mechanical coupling, stress gradient change and microstructure evolution of the blade are realized; and the coefficients are corrected through sequence coupling, equivalent reflection is carried out in combination with the equivalent stress amplitude or the equivalent stress amplitude field, and the precision of predicting and evaluating the fatigue damage of the dangerous part of the blade is improved.

The invention relates to a full-self-anchoring flexible connection stainless steel composite steel pipe, and belongs to the technical field of full-self-anchoring steel pipes. A self-adaptive dynamic compensation structure is introduced, and when the extrusion stress borne by a rubber ring exceeds a preset threshold value, the structure is in linkage fit with a spring movable part through a sliding part; the axial displacement compensation and the elastic pre-tightening force are cooperated, and the extrusion stress of the rubber ring is dynamically maintained in a reasonable range, so that the sealing effect can be maintained when the rubber ring deforms due to aging or abrasion, the pressure fluctuation caused by heat energy generated by friction between water flow and a pipe wall and environment temperature change can be coped, and the service life of the pipe is prolonged. By means of the design, the situation that the rubber ring bears extrusion stress exceeding a design value due to the fact that internal pressure is increased is avoided, stress concentration and structural fatigue are reduced, the service life of the rubber ring is prolonged, the maintenance cost and the replacement period of a long-distance buried pipeline are reduced, and the vicious circle problem that the service life of an existing structural rubber ring is shortened is effectively solved.

The invention relates to the technical field of high-voltage line mirror bracket safety testing, and discloses a high-voltage line mirror bracket split type safety link structure testing method and system. According to the method, plugging and bending tests are carried out on a high-voltage line mirror bracket split type link structure through a mechanical arm, and interface pressure and structure deformation image data are collected in real time. And analyzing interface wear and structural fatigue damage characteristics by using a pre-trained wear detection model, and outputting a real-time wear degree evaluation result. And after the test period is finished, integrating the multi-modal data and the evaluation result to generate a three-dimensional visual detection report, positioning a wear concentration position, marking an abnormal wear point and quantifying the structural safety level. According to the invention, the problems of incomplete test and inaccurate evaluation in the prior art are solved, and the product safety and reliability are improved.

The invention belongs to the technical field of fatigue life acceleration test equipment, and particularly relates to an acceleration test device and method for the fatigue life of a rubber corrugated pipe limiting structure, the acceleration test device comprises a base and a heat insulation test box, the bottom end of the heat insulation test box is fixedly connected with the upper surface of the base, and two fixing through holes are formed in the outer wall of one side of the heat insulation test box. The device has multiple environment simulation functions, constructs a composite test environment close to the actual working condition, reflects the influence of different environments on the fatigue life of the limiting structure, improves the representativeness of the fatigue life test result of the rubber corrugated pipe limiting structure, realizes automatic failure judgment through resistance real-time monitoring, does not need manual intervention, and improves the test efficiency. The test convenience is improved, the accuracy of the fatigue life test result of the rubber corrugated pipe limiting structure is further improved, the double-sample synchronous test is realized, the time consumption of the multi-sample test is greatly shortened, and the detection efficiency of the fatigue test is remarkably improved.

The invention discloses an anti-distortion and anti-compression cable for an oil platform. The anti-distortion and anti-compression cable is suitable for signal or power transmission in a high-corrosion, high-humidity and high-mechanical-disturbance environment. The cable comprises a plurality of strands of silver-plated copper stranded wire core bodies, a micro-foaming silica gel anti-fatigue buffer layer is arranged outside the silver-plated copper stranded wire core bodies, a movable sleeve layer structure is sleeved outside the silver-plated copper stranded wire core bodies, the movable sleeve layer is composed of a low-friction coating, a sliding main sleeve layer and a rigid shape limiting shell layer, the core wires are allowed to slide freely and be sleeved and positioned when bent and twisted, and structural fatigue and dislocation are prevented. The cable filling body is composed of a high-density supporting framework and a flame-retardant silica gel rope, and an anti-torsion fiber braid layer, a metal shielding layer and a multifunctional sheath layer of a sandwich structure are arranged outside the cable filling body. The cable has the advantages of torsion resistance, compression resistance, self-adaptive structure, self-healing protection and excellent shielding performance, adapts to extreme platform working conditions, improves the system reliability and prolongs the service life.

The invention relates to a steel structure fatigue crack detection system based on digital twinning, and the system comprises a sensing module which is used for collecting fatigue crack monitoring data of a steel structure in real time; the digital twinning back-end data fusion and management module is used for analyzing and standardizing the fatigue crack monitoring data and constructing a digital twinning model of the steel structure so as to map the entity state of the steel structure and the spatial distribution condition of the fatigue crack; the analysis module is used for detecting the fatigue crack of the steel structure according to the fatigue crack monitoring data, updating a detection result to the digital twinborn model for state synchronization, and performing crack risk early warning; and the visualization module is used for displaying the fatigue crack monitoring data and the detection and early warning result output by the analysis module. Compared with the prior art, real-time detection, trend prediction and multi-level early warning of the fatigue crack of the steel structure are realized through cooperative operation of sensing, fusion, analysis and visualization, and the safety and decision scientificity of the operation and maintenance stage are remarkably improved.

This invention discloses a method for the dynamic evolution of a digital twin model of a rotor system. First, finite element models of each component of the rotor system are established and modified to obtain a modified rotor system simulation model. Second, based on residual stiffness theory, the dynamic evolution curves of the rotor system state with varying operating conditions and service time are analyzed from three aspects: bearing wear, bolt loosening, and structural fatigue. Then, simulation and experimental data generated by the modified rotor system simulation model and the rotor system test bench under different evolution states under varying operating conditions are collected. The correlation of multivariate evolution is analyzed based on a multi-objective optimization algorithm to obtain accurate dynamic evolution curves of the rotor system state. Finally, the obtained accurate dynamic evolution curves of the rotor system state are input into the modified rotor system simulation model to obtain a dynamic evolution digital twin model of the rotor system.

The invention discloses a meteorological risk analysis early warning system based on meteorological data, and relates to the technical field of meteorological perception early warning, the meteorological data and structure operation data of an area where a power transmission tower is located are collected, wind direction abrupt change feature recognition is carried out to obtain a wind direction abrupt change rate V theta, a sand and dust invasion change index Esant is constructed, and the wind direction abrupt change rate V theta is obtained; the method comprises the following steps: performing sand-dust invasion state evaluation on a sand-dust invasion judgment threshold Ethresh, performing sand-dust impact response analysis when the sand-dust invasion judgment threshold Ethresh is evaluated as a sand-dust impact period, constructing an instantaneous shear wind pressure stress sigma sh, further obtaining a foundation erosion response coefficient Rfd in combination with a sand-dust invasion change index Esant, and performing coupling modeling on the instantaneous shear wind pressure stress sigma sh and the foundation erosion response coefficient Rfd to obtain a foundation erosion response coefficient Rfd. And the structural fatigue rate PLfat is obtained to evaluate the structural safety state of the power transmission tower, so that the response sensitivity of the early warning system to high-frequency sand and dust disturbance is improved, and safe and stable operation of power transmission facilities under extreme weather conditions is ensured.

The invention discloses an anti-swing predictive control method for an offshore crane, and belongs to the technical field of ocean engineering equipment control. The problem that in the prior art, due to control lag and an inaccurate model, the load swing restraining effect of an offshore crane is poor is solved. According to the scheme, the method is characterized in that the state of a crane and prediction information of future waves are obtained in real time through a state sensor set and a multi-source environment sensing system; mixing the prediction model to predict a crane system state sequence under different control instructions in a future time domain in a rolling manner; based on the prediction sequence, solving a reference control track aiming at suppressing swing and reducing structural fatigue in upper-layer optimization, and solving and outputting an instant control instruction meeting the constraint of an execution mechanism in lower-layer rapid optimization; meanwhile, system health management is independently executed, and a control mode is dynamically adjusted according to evaluation. The method is mainly used for precise anti-swing control of the offshore crane under the complex sea condition, load swing can be effectively inhibited in advance, and operation precision and equipment safety are improved.

The invention discloses a method for checking distributed supporting stand columns between a cylindrical FPSO main deck and a process deck. The method for checking the distributed supporting stand columns between the cylindrical FPSO main deck and the process deck comprises the following checking methods that S1, a finite element calculation software model is established; s2, applying a load on the finite element model; s3, module supports are established and arranged, and stand columns are arranged between the main deck and the process deck to serve as supports; s4, pre-analyzing the finite element model; s5, performing finite element model optimization analysis; s6, the screened stand columns are subjected to refining treatment; and S7, performing result analysis on the model, and returning to S6 for adjustment if the overall structural strength meets the requirements of operation, extreme and cabin breaking working conditions, the structural fatigue exceeds the specified service life and the local part does not meet the requirements. According to the checking method for the distributed supporting stand columns between the cylindrical FPSO main deck and the process deck, the calculation result is more accurate, the professional iteration workload of upstream and downstream is reduced, the design period is shortened, and the efficiency is improved.

The invention relates to the technical field of steel pipe concrete structure detection, in particular to a method for detecting fatigue damage of a steel pipe concrete correction structure for waste incineration power generation. The ultrasonic detection signals under different primary frequencies are subjected to comparative analysis of signal intervals with different amplitude changes, and the ultrasonic detection signals under different frequencies are subjected to targeted filtering optimization processing based on analysis results, so that the accuracy of damage information judgment under different frequencies is comprehensively evaluated. Accurately screening ultrasonic detection signals in the detection process of the correction structure according to an evaluation result, and obtaining a fatigue damage detection result of the correction structure based on a screening result; the accuracy of fatigue damage information judgment of the correction structure is improved, and the detection performance of the concrete filled steel tube correction structure at different positions is improved.