75 results about "Structure Failures" patented technology

The invention discloses a floating type offshore wind power supporting structure monitoring system and method. The monitoring system comprises a monitoring device module, a data acquisition system module, a data analysis system module and a threshold early warning system module. For data acquired by a monitoring device, a data cleaning and extracting method is provided. Meanwhile, the types, the number and the arrangement positions of all the sensors needed for monitoring the supporting structure are determined, and follow-up safety monitoring work of the floating type offshore wind turbine generator is facilitated. The developed monitoring system with real-time feedback and early warning functions can avoid the problem of platform structure failure caused by untimely structure maintenance to a great extent, and ensures the operation safety of the structure.

Provided is a fracture preventing design method for a metal structure, the method comprising: establishing a stress field evolution characteristic curve of a metal structure under the action of a force load and determining a strength ratio Ib / σs of a material, calculating stress field characteristic values ω1 and ω2 under the action of a load, and, according to the calculated values, performing fracture design of the metal structure, thus enabling same to satisfy the design requirements for preventing elastic fracture and / or elastic-plastic fracture and / or fully-plastic fracture. The fracture preventing design method for a metal structure can guide structure designers in performing safety design of metal structures so as to improve the structure failure resistance, and involves simple calculations and achieves high applicability.

The invention provides a dual-drive deepwater wellbore integrity failure risk evaluation method, and belongs to the technical field of deepwater drilling safety, and the dual-drive deepwater wellbore integrity failure risk evaluation method comprises the following steps: based on fault tree analysis in a bowknot model, identifying a wellbore integrity failure mode; constructing a differentiated evaluation path according to the failure mode, and quantifying a static equipment failure risk and a dynamic structure failure risk respectively; constructing a wellbore system-level failure probability model through a fault tree and Bayesian network dynamic mapping mechanism; based on event tree analysis, modeling is conducted on the safety barrier state after shaft integrity failure, accident consequences are deduced, and the occurrence probability of the accident consequences is calculated; and outputting the system-level failure probability, the key path contribution degree, the bottom event sensitivity sequence and the accident consequence probability, and solving the technical problem that the system-level failure risk is difficult to accurately predict and dynamically prevent and control because static empirical data and a dynamic mechanical mechanism are separated and cannot be coupled and updated in real time.

The invention relates to the technical field of electric power engineering structure failure assessment, and discloses a reinforced concrete pole icing failure assessment method, system, device and medium, and the method comprises the steps: collecting the initial data of a pole, and assessing the stress distribution and potential crack position of the pole under a specific load based on the data. According to the stress distribution and the crack position, the expansion condition of the concrete crack is determined, and the stress state of the steel bar is analyzed. And based on the stress state, executing preliminary judgment. And establishing a relation model of the critical fracture value and the critical load of the steel bar in combination with the preliminary judgment result, and calculating the probability of overall failure of the electric pole. By analyzing the stress distribution and potential cracks of the electric pole under different loads, the actual stress state of the electric pole can be accurately predicted. Through fitting the joint distribution of the preset loads, the interaction between the loads is considered, and the evaluation precision is improved. The established relation model provides a basis for electric pole failure probability evaluation based on a preliminary judgment result.

The invention provides a motor stator potting structure failure risk assessment and optimization design method. The method comprises the following steps: firstly, establishing a simplified numerical calculation domain based on a potting structure, carrying out grid and time step length independence verification, carrying out parameter sensitivity analysis and experimental measurement, and establishing a high-precision thermal-mechanical coupling numerical calculation model; then, in combination with the simulation result and the temperature change constitutive characteristics of the ultimate strength of the material, a node-level failure risk calculation method is provided, failure risk indexes of different stress forms are obtained, and a weighted comprehensive failure risk evaluation standard is determined according to the contribution degree of the stress forms to failure behaviors; and finally, proposing a parameterized structure optimization scheme according to a dangerous area and a dominant failure mechanism, carrying out quantitative evaluation and optimization on the candidate scheme under a weighted comprehensive failure risk evaluation standard, and determining a final structure optimization scheme. The method has the advantages of closed flow loop and quantifiable indexes, and is suitable for reliability design and life evaluation of the motor encapsulation structure.

The present invention discloses a prefabricated building component quality detection system and method based on BIM technology, belonging to the field of prefabricated buildings. The present invention distributes position weights based on the historical stress damage and construction strength conditions of each position of the corresponding building, performs connection anomaly analysis at each position based on the stress conditions at each position and the deformation of the building components in the corresponding stress direction, and performs component quality analysis based on the deformation conditions at each position, the connection anomaly analysis results and the position weight distribution results. By analyzing historical data, the stress mode, potential damage and the influence weight on the components of the building components at different positions can be identified, thereby comprehensively monitoring the health status of the building structure. Real-time deformation and connection anomaly detection can timely identify structural safety hazards, prevent potential structural failures, and ensure the safety of the building.

The invention discloses an underwater robot depth and course control system, which relates to the technical field of underwater robots, and is characterized in that an equivalent strain energy anomaly index and a local maximum principal stress anomaly index are extracted through a structure-heat-fluid coupled three-dimensional finite element simulation model, and a failure risk prediction model is constructed by using a machine learning model; taking the comprehensive feature vector as input, and outputting a sealing structure failure prediction coefficient as a basis for dynamically adjusting a control strategy; the system limits or optimizes the propeller power, buoyancy adjusting frequency and course angle change rate in real time according to the failure prediction coefficient of the sealing structure so as to reduce the structural load and delay the fatigue process, a prediction model is continuously optimized through an error sample driven incremental learning mode, closed-loop self-learning and self-adaptive evolution of the control system are achieved, and the system reliability is improved. Therefore, the operation safety and the task execution stability of the underwater robot in the complex deep sea environment are improved.

The application provides a chip-scale package interconnection structure failure analysis method and device, comprising: determining the failure external pin corresponding to the failure CSP package interconnection structure according to the current-voltage characteristic curve corresponding to each external pin; collecting and analyzing the time-domain reflection waveform of the failure external pin by using the electro-optical terahertz pulse reflection technology, positioning the target interconnection failure area in the interconnection path where the failure external pin is located according to the amplitude, time delay and waveform distortion characteristics of the reflection pulse; scanning the target interconnection failure area by using the three-dimensional X-ray microscopic imaging technology, and determining the target position of the failure point on the interconnection path where the failure external pin is located and the corresponding structural defects based on the scanning result. The application realizes the non-destructive failure analysis of the CSP package interconnection structure by combining the electro-optical terahertz pulse reflection technology and the three-dimensional X-ray microscopic imaging technology, and improves the failure point fault positioning accuracy and efficiency.

The utility model discloses a railway bridge underwater structure disease intelligent monitoring early warning device relates to monitoring early warning device technical field, and this device includes underwater pier attached type electric climbing support, bridge pier abutment vibration acceleration sensor, bridge integral ballast vibration acceleration sensor, data acquisition system, locomotive vehicle, pier abutment and bridge integral ballast main part, pier abutment is fixedly installed on bored pile foundation. The utility model is combined with the direct scanning of multibeam array sonar and the indirect verification of vibration signal, realizes the accurate identification and quantitative evaluation of underwater structure disease, avoids the limitation of single monitoring mode, constructs the closed loop process of underwater monitoring - data analysis - safety early warning with the automatic running of electric climbing support and the real - time transmission of multi - source data, can discover disease and early warning in time, and effectively prevents the bridge accident caused by underwater structure failure.

The invention discloses a wind power blade subcomponent structure bending torsion loading failure analysis and optimization method, and belongs to the technical field of wind power blade structure mechanical analysis. The analysis method comprises the following steps: establishing a three-dimensional entity finite element model of a wind power blade sub-component, applying pure shimmy, pure torsion and gradient bending-torsion combined load to carry out nonlinear static analysis, extracting critical failure point data, and comparing and analyzing a rear edge buckling waveform, bonding failure migration and contact behavior change, so as to obtain a critical failure point. According to the method, the internal relation of blade rear edge bonding structure failure, buckling waveform and contact behaviors under the bending-torsion coupling working condition is defined, the migration rule of the rear edge failure position along with the torsion angle and the stress distribution difference between the front edge and the rear edge are defined, and the problem that in the prior art, it is difficult to accurately position the blade vulnerable area under bending-torsion coupling is solved; and a mechanical basis is provided for blade structure optimization. The analysis result obtained through the analysis method can be directly used for guiding the anti-bending coupling design of the blade.

The invention relates to the technical field of data processing, in particular to a harmonic reducer flexible gear multi-axial fatigue life prediction method. The method comprises the steps that firstly, discrete processing is conducted on a flexible gear structure of the harmonic reducer, and a splitting unit grid containing state parameters is obtained; based on the state parameters contained in the splitting unit grid, calculating a unit splitting trend function, and constructing an overall energy field evolution function; then, based on the overall energy field evolution function and a structural failure threshold, determining a preliminary predicted life, and correcting the geometric disturbance coefficient to obtain a corrected geometric disturbance coefficient and a corrected overall energy field evolution function; and finally, based on the corrected overall energy field evolution function and the preliminary predicted life, obtaining the final predicted life of the harmonic reducer flexible gear. The technical problems that fatigue life evaluation is not accurate, a crack propagation path is not clear, wear-induced geometric disturbance cannot be fed back dynamically, and coupling expression of local cracking evolution and overall structure failure lacks are solved.

The invention is suitable for the technical field of mechanical fault identification, and provides a visual diagnosis method and system for mechanical faults. According to the invention, visual diagnosis planning is carried out on a plurality of work vulnerable structures; selecting a current diagnosis structure, and planning and controlling a shooting path; extracting a plurality of size area images, and calculating a plurality of horizontal intensity difference values and a plurality of vertical intensity difference values; comparing and selecting area sizes, and calculating a structure roughness index; and carrying out pre-diagnosis analysis, and carrying out fault diagnosis alarm when a critical fault occurs. Diagnostic shooting can be carried out, horizontal intensity difference values and vertical intensity difference values of images of different sizes are calculated according to size area requirements, then a plurality of size selection values are selected, a structure roughness index is calculated, and pre-diagnosis analysis of a structure fault is carried out, so that pre-diagnosis of the fault is realized before the fault occurs; and the problems that the production efficiency is reduced, the product quality fluctuates, the maintenance cost is increased, and the downtime is prolonged are avoided.

The present application relates to a kind of prefabricated foundation pit supporting structure test model device.It is applicable to the physical model test of foundation pit excavation support and supporting structure failure.The technical scheme of the present application is: the device has several vertical fixed in the edge of foundation pit bottom and arranged into row straight piles, the waist and top of straight pile are detachably installed with waist beam and crown beam by fixed buckle, several inclined piles are installed on the waist by force transmission buckle, the bottom end of inclined pile is supported on the bottom of foundation pit, and the top end of inclined pile is supported on the force transmission buckle on waist beam;The force transmission buckle has inverted U type buckle and limiting angle plate, wherein the inverted U type buckle is buckled on the waist beam, and there is a gap between the corresponding inner side wall of inverted U type buckle and the side of waist beam towards foundation pit;The cross section of limiting angle plate is V-shaped, one side plate of limiting angle plate is inserted into the gap between inverted U type buckle and waist beam and is fixed on waist beam by screw II passing through the side wall of inverted U type buckle and the side plate, and the other side plate of limiting angle plate supports the top end of corresponding inclined pile.

The application discloses a cutter head repairing method in a tunneling process of a shield machine, and belongs to the technical field of shield construction, and solves the problems that an existing method does not construct an active stability system for a working face and a soil bin environment, and lacks accurate detection and regulation means for large-scale poses of a cutter head, the method comprising the following steps: dividing a shield soil bin and a working face area into multiple operation layers, layer-by-layer cleaning of the working face and grading fixation of the cutter head, synchronous control of multiple horizontal displacement oil cylinders for adjusting the pose of the cutter head by a hydraulic pump station, taking out broken wires by using a welding auxiliary pulling or a counterbore tapping process, resuming tunneling after completing a main drive pressure maintaining test and cutter head operation verification, and in-situ repairing of the shield machine after a major structural failure such as cutter head falling in a tunneling process, without the need of withdrawing the shield machine from the tunnel or adding a ground vertical shaft, and meanwhile, secondary disturbance to surrounding strata is avoided, thereby providing systematic technical support for safe and continuous pushing of shield construction under complex geological conditions.

The invention relates to the technical field of hydraulic engineering, in particular to a reservoir engineering safety management system and method, and the method comprises the steps: obtaining a fracture tomographic image of a drainage gallery wall through a through-wall ground penetrating radar, and synchronously collecting the infiltration linear displacement dynamic data of a distributed optical fiber sensor; performing space-time alignment on the two types of data, constructing a fracture space topological relation and seepage conduction path model, and generating a defect-seepage coupling map; a coupling atlas analysis module and a space-time convolutional neural network module are used for identifying the sudden change trend of the displacement rate of the infiltration line, and a gallery structure failure early warning signal is triggered; after early warning, a reinforcement work order is automatically generated, the unmanned aerial vehicle is called to carry out a high-definition image rechecking task, a rechecking result is fed back to correct the seepage conduction path model, and dynamic self-correction is achieved. The method has the capabilities of accurate modeling, intelligent early warning and real-time closed-loop regulation and control, and can significantly improve the structural safety management level of reservoir engineering.

A method for detecting a structural fault of an electric motor. The method includes: (i) acquiring a measurement signal of a physical parameter representative of the rotation of the electric motor, (ii) obtaining the high frequency component of the measurement signal, resulting in a corrected signal, (iii) applying a set of band-pass filters to the corrected signal resulting in a set of filtered corrected signals, (iv) determining a stator frequency and a rotor frequency, (v) computing a frequency signature vector, (vi) computing a temporal symptom vector from the frequency signature vector and the set of filtered corrected signals, and (vii) detecting a structural fault of the electric motor from the determined temporal symptom vector and from a classifier model.

The invention discloses a deep trench capacitor structure failure analysis method and system, and the method comprises the steps: carrying out the grinding of the section of a trench of a DTC device through the combination of voltage contrast and a plane grinding technology, enabling the cross section to become smooth and flat, opening the section of the deep trench, providing an ideal sample surface for the subsequent electron beam absorption current in the deep trench, and improving the detection precision. The nanoprobe is adopted to directly test a current path, and a failure position which cannot be represented in a deep groove device or a material in the prior art in a traditional method can be effectively positioned, so that the failure representation rate is greatly improved, and the problem that the deep defect of the deep groove cannot be positioned in the traditional method is solved.

The invention discloses a fault equivalent design method for an electrode at a bushing voltage-sharing ball and an insulation structure thereof, and the method comprises the following steps: building a fault equivalent model: providing an external voltage-sharing ball which is composed of a first hemisphere and a second hemisphere, forming a counter bore in the first hemisphere, welding an aluminum cylinder on the second hemisphere, and arranging a watchband contact finger, the first hemisphere and the second hemisphere can be buckled outside the sleeve voltage-sharing ball and are connected through the watchband contact fingers and the counter bores; the outer surface of the external voltage-sharing ball is coated with an epoxy resin layer so as to weaken the corona of the external voltage-sharing ball; and fault equivalent model simulation: simulating a suspended potential discharge fault by arranging a suspended electrode on the external voltage-sharing ball, or simulating a water inlet damp fault of the wire outlet device by arranging an insulating special-shaped piece and an insulating cylinder outside the external voltage-sharing ball and injecting polluted water. The device has the advantages of being typical in structure, convenient to install, low in cost, obvious in discharge characteristic and the like, and can be used for fault monitoring, analysis and judgment of ultrahigh-voltage and extra-high-voltage alternating-current and direct-current outgoing line devices.

The invention discloses a concrete life prediction method and system based on ardealite concrete erosion, and belongs to the technical field of concrete structure life prediction, historical erosion data of an environment where a target structure is located are obtained, and the historical erosion data comprise a data sequence of acid concentration, water flow velocity, wet-dry cycle frequency and chloride ion concentration changing along with time; collecting material parameters of the ardealite concrete and performance attenuation coefficients of the ardealite concrete under the action of different erosion factors; constructing a multi-factor coupled life prediction model based on environmental data and material parameters, and dynamically iterating material performance by taking time as a main variable; inputting a service time interval, solving the model and outputting an evolution curve of compressive strength and porosity; setting a structure failure threshold value, judging whether a failure condition is reached or not, and outputting structure predicted failure time; according to the method, the performance evolution law of the phosphogypsum concrete in a complex environment can be effectively simulated, and high-precision and quantifiable life prediction is realized.

The application discloses a truss size optimization design method based on minimum cut set correlation. The method comprises the following steps: establishing a balance matrix of the truss structure, using a zero space method to obtain a minimum cut set database of failure modes; constructing a joint failure model of the database, and then obtaining a failure probability under the consistency of the cut set edge probability space and establishing a reliability constraint optimization model; inputting the material density and length of each rod of the truss structure into the model, and outputting the optimized total weight and the cross-sectional area of each rod after processing, so as to perform size optimization design of the truss structure. The application solves the problems of failure mode combination explosion, insufficient correlation modeling and missing reliability constraints in the reliability analysis of the truss structure, can significantly reduce the complexity of the truss size optimization design, improve the structure failure probability evaluation precision, realize efficient and accurate system reliability evaluation and lightweight design, and has good computability and engineering applicability while ensuring the precision.

The application discloses a kind of multi-source random cause's deep sea pipeline ultimate bearing capacity evaluation method, it is related to deep sea pipeline system technical field, method includes: obtaining the uncertainty factor of deep sea pipeline ultimate bearing capacity evaluation, including the uncertainty factor of composite defect and the uncertainty factor of pipe material size strength;Based on the sample point of the uncertainty factor of composite defect, establish finite element analysis theoretical numerical model and solve, obtain the structure ultimate bearing capacity of each sample point;And the probability characteristic analysis is carried out to structure ultimate bearing capacity, obtains first structure failure probability;Estimate the second structure failure probability under the condition of pipe material size strength uncertainty factor;Based on first structure failure probability and second structure failure probability, calculate the structure failure probability under the coupling action of multi-source random cause.This application solves the problem that the nonlinear high of containing random composite defect deep sea pipeline structure response under the action of external pressure load, uncertainty is strong.

The invention discloses a large-scale urban bridge and tunnel network evaluation method based on quantitative total risk loss, and the method comprises the steps: 1, carrying out the crawling of an open-source geographic platform, obtaining the topological data of a road network, and building a bridge and tunnel network model; 2, simplifying edges and nodes of the bridge and tunnel network model according to road grades and intersection conditions; 3, converting the traffic speed data to obtain daily average traffic volume data; 4, performing conversion on the single structure score data in the detection report to obtain a single structure failure probability; 5, defining spatial inhomogeneous Markov chain simulation structure state evolution; 6, defining a direct and indirect total loss quantification formula considering structural failure, casualties, traffic closed detour and additional carbon emission; and 7, carrying out quantitative evaluation on the long-term annual total risk loss of the large-scale bridge and tunnel network of a certain city. The method overcomes the defect that the current bridge and tunnel network evaluation method only concerns the safety loss and lacks consideration on the function loss, and is suitable for efficient management and maintenance of the large-scale bridge and tunnel network.

The invention discloses a crane work monitoring method and application thereof in crane work early warning, and relates to the technical field of state monitoring. Comprising the steps that a track data chain of a hoisted object in a hoisting area is obtained according to a hoisting instruction, the track data chain is used for representing motion parameters of the hoisted object in the complete process from hoisting to placing, and feature data content of crane running part abnormity and synchronization losing with an operation instruction is recognized based on the track data chain and hoisting operation dynamic variables. According to the method, the track deviation, the component state deviation, the operation instruction difference and the high-frequency vibration characteristics are uniformly fused, the structure fault, the execution mechanism fault, the instruction asynchronous abnormity and the environment disturbance abnormity are distinguished, and the hidden structure damage caused by long-term use can be identified; in addition, multi-factor complex risks caused by operation impact factors can be distinguished, abnormal execution behaviors caused by inconsistency of operation instructions are marked independently, and therefore the accuracy and pertinence of abnormal recognition are ensured.

The present application relates to the technical field of hydraulic engineering, and specifically relates to a reservoir engineering safety management system and method, comprising: obtaining a fissure tomographic image of a drainage gallery wall through a wall-penetrating ground penetrating radar, and synchronously collecting dynamic data of a phreatic line displacement of a distributed optical fiber sensor; performing space-time alignment on the two types of data, constructing a fissure space topology relationship and a seepage conduction path model, and generating a defect-seepage coupling atlas; using a coupling atlas analysis module and a space-time convolutional neural network module to identify the mutation trend of the phreatic line displacement rate, and triggering a gallery structure failure early warning signal; automatically generating a reinforcement work order after early warning, calling a UAV to carry out a high-definition image review task, and feeding back the review result to correct the seepage conduction path model, thereby realizing dynamic self-correction. The present application has the capabilities of precise modeling, intelligent early warning and real-time closed-loop regulation and control, and can significantly improve the structural safety management level of reservoir engineering.

The application discloses a kind of pressurizing devices for drill rod, including with the first power device of drill collar connection of drill rod and the second power device of relative rotation arrangement with drill bit, also including the regulating device of connection between first power device and second power device;Under the flow force of drilling fluid, first power device and second power device relatively reverse rotation, second power device is discharged after part of drilling fluid is pressurized by drill bit, realizes unpowered pressurization, the application discloses a kind of fluid jet guiding drilling tool, by applying the pressurizing device on fluid jet guiding drilling tool, thereby using the flow force of drilling fluid to break rock mode guidance, avoid the malpractice of mechanical bias structure failure, with higher reliability and longer service life, its cooperation drill bit rotation mechanical mode joint rock breaking, directional rock breaking is realized, directional drilling speed is greatly improved.

The invention discloses a system and a method for measuring internal failure of a composite material connection structure, and belongs to the technical field of composite material structure testing, the system comprises a plurality of thin film resistance sensors and an intelligent monitoring system, the thin film resistance sensors are embedded in key failure areas of a composite material in advance and are integrally formed with the composite material; the sensor is used for monitoring internal stress distribution and damage evolution of the composite material in real time; the outer layer of the thin-film resistance sensor is packaged with a thin-film packaging material which is homogeneous with the composite material, and the thin-film packaging material and the composite material are bonded through glue of the same type; and the intelligent monitoring system is electrically connected with the thin-film resistance sensor, comprises an electric signal acquisition module and a multi-channel data fusion analysis module, and is used for analyzing resistance change in real time and early warning structure failure. The internal stress and damage evolution of the composite material are monitored in real time through the embedded thin-film resistance sensor, the limitation of a traditional detection means is solved, data can be rapidly analyzed, the failure can be early warned, the structural safety and the maintenance efficiency are remarkably improved, and the maintenance cost is reduced.

The present application relates to the technical field of steel structure machining platform structure fault diagnosis, and particularly relates to a steel structure machining platform structure fault diagnosis method and system, the method comprising the following steps: in the platform non-production period, a preset excitation is applied to the platform structure through a vibration suppression device, and excitation response data of the platform structure to the preset excitation is collected; according to the excitation response data, the performance state of the vibration suppression device is determined, and the change trend of the performance state is recorded; during the platform operation, the operation response data of the platform structure is continuously collected, and the abnormality in the operation response data is identified to obtain abnormal characteristics; the abnormal characteristics are compared with the change trend of the performance state to determine whether the abnormality is caused by the performance change of the vibration suppression device; the influence of the known interference is eliminated from the operation response data, and the damage characteristics of the platform main structure are identified from the operation response data after the known interference is eliminated. The present application improves the accuracy and reliability of fault diagnosis.

The invention relates to a cohesion model parameter construction method for a spot-welded joint nugget pull-out failure, and belongs to the technical field of welding structure failure analysis methods. According to the technical scheme, experimental quantification and numerical simulation are combined, a cross positive tension and tension-shear fracture finite element interface unit model is constructed by measuring microhardness and calculating tensile strength, iterative calculation is conducted, and then relevant parameters of a cohesion model are determined. The method has the beneficial effects that experimental quantitative analysis and numerical simulation are combined, relevant parameters of the cohesion model are accurately determined, interface mechanical behaviors in the welding nugget pull-out failure process are accurately represented, the efficiency and accuracy of parameter construction are improved, and the method is suitable for large-scale popularization and application. And a systematic solution is provided for numerical simulation and reliability evaluation of the spot welding joint failure behavior.

The utility model discloses a simulation loading test device suitable for a cross-creeping fault tunnel, and aims to solve the problem that most of existing indoor simulation loading devices for the cross-creeping fault tunnel are mainly based on a stick-slip fault and can only be used for test research on the aspects of damage mechanism and prevention and control of a tunnel structure caused by the stick-slip fault. The utility model aims at carrying out research on the interaction mechanism between the creep fault and the tunnel structure, catastrophe prevention and control and monitoring and early warning aspects through indoor test simulation. Free contraction and shear deformation of the fixed model box and the movable model box are achieved through the spring and the telescopic connecting belt, and shear dislocation simulation of the creep fault crossing tunnel is achieved. And dislocation loading of the movable model box can be realized through a second jack and a third jack which can move freely.

The invention discloses a concrete gate dam monitoring index setting method based on data-mechanism-knowledge diagnostic analysis, belongs to the technical field of safety monitoring of concrete gate dams, and solves the problem of safety monitoring of the concrete gate dams. The concrete gate dam is different from a conventional concrete gravity dam and has great difference in failure modes, and a safety monitoring index sequence is drawn up according to the analysis of the failure modes of different scales of the whole and local gate dams in combination with the existing hidden danger problems and the structure and operation characteristics of a project. The problems that in the prior art, correlation between monitoring indexes and structure failure modes is weak, and monitoring item selection and index calculation methods lack pertinence are solved, and comprehensive and accurate monitoring of dam safety risks is achieved.