45 results about "Rigidity matrix" patented technology

The invention discloses a viscoelastic boundary verification method, device and equipment based on isoparametric elements and a medium, and the method comprises the steps: building a three-dimensional geometric model of a target structure according to geometric dimensions and material attributes, discretizing the three-dimensional geometric model into initial three-dimensional subunits, and then building an initial finite element mesh model; after identifying a target boundary surface to be applied with an artificial viscoelastic boundary, assigning boundary parameters to obtain each three-dimensional subunit and form a finite element model; all the three-dimensional subunits are mapped to a standard unit through equal-parameter coordinate transformation, an equivalent stiffness coefficient matrix and an equivalent damping coefficient matrix are obtained through calculation and then stacked and assembled, and an overall stiffness matrix and an overall damping matrix are formed; and calculating displacement response data based on the overall stiffness matrix and the overall damping matrix. According to the embodiment of the invention, by introducing the isoparametric coordinate transformation, the irregular boundary form can be directly processed without introducing an additional boundary unit, and the calculation requirement of an actual complex engineering model is met.

The invention provides a thermal elastic structure joint topological optimization method based on MATLAB and ABAQUS, and belongs to the technical field of thermal elastic structure optimization design. Firstly, finite element models of mechanical loads and thermal loads are established in ABAQUS, and files are exported; then calling an ABAQUS operation model in MATLAB, extracting core data such as nodes, units and a stiffness matrix, and constructing a parameterized thermodynamic finite element model based on an SIMP method; calculating a function value and sensitivity by taking volume minimization as a target and taking global stress and temperature constraint as conditions; and finally, iteratively optimizing the design variables by adopting a moving asymptote algorithm, and obtaining a final topological configuration through a filtering method. Through deep cooperation of MATLAB and ABAQUS, core finite element data of commercial software is extracted at a time for optimization iteration, repeated data generation and interaction are avoided, the calculation efficiency is greatly improved, and an efficient solution is provided for processing the topological optimization problem of stress and temperature constraints under complex heat-force loads.

The invention relates to the technical field of nuclear reactor fuel element analysis, in particular to an irradiated zirconium alloy plasticity limit prediction method based on a crystal plasticity finite element, which comprises the following steps: establishing a three-dimensional polycrystalline representative body cell model conforming to the actual grain size of zirconium alloy; based on a crystal plasticity theoretical model, zirconium alloy material parameters are obtained through calculation; boundary conditions and load conditions are determined, finite element calculation is executed in combination with material parameters, and an element stiffness matrix of each increment step is output; assembling the unit stiffness matrix, and obtaining a macroscopic stress-strain matrix of the three-dimensional polycrystal cell model through a homogenization method; and substituting the macroscopic stress-strain matrix into the Rice theoretical criterion, traversing the macroscopic stress-strain matrix of each increment step, and determining the plastic strain meeting the judgment critical condition. According to the method, accurate finite element plastic limit analysis can be carried out on the irradiation material, and the plastic limit strain of the zirconium alloy under the irradiation condition can be accurately judged.

The invention discloses a circumferential contour prediction method based on cutting force and deformation field space-time correlation, and relates to the field of aerospace, and the method comprises the following steps: 1, carrying out the spatial discretization of a circumferential contour region of a target workpiece; step 2, establishing a lightweight structure stiffness matrix; 3, constructing an elastic mechanism model and solving delta-F mapping; 4, introducing the time sequence correlation of the cutting load into the elastic mechanism model; step 5, constructing a Boolean relationship between the tool path and the workpiece envelope; step 6, fusing actual measurement process signals, and performing state correction; step 7, iterating the elastic model again by using the corrected load; and step 8, reconstructing full-field deformation based on spatial correlation. According to the method, online prediction of the station-level circumferential deformation field is achieved, the method can be used in the multi-procedure machining process, deformation in-situ compensation of the procedure is achieved, a clamping positioning strategy of the next procedure is output, and the manufacturing quality and the production efficiency are improved.

The invention relates to the technical field of noise prediction, in particular to a vibration noise correction method and device based on a structural rigid body mode. The method comprises the following steps: constructing a primary function of elastic displacement to form a first vibration mode matrix, and introducing a rigid body mode into the first vibration mode matrix to form a second vibration mode matrix; and obtaining a structural modal mass matrix, a modal stiffness matrix and a modal force by using the second vibration mode matrix, and deducing a modal participation coefficient and a modal frequency. Performing a simulation test in combination with the deduced modal parameter coefficient and the complete vibration mode matrix to obtain vibration responses of the structure under different frequencies, and predicting the structure according to the vibration responses to obtain simulation data; and dynamically correcting the modal matrix according to the difference between the actual test data and the simulation data of the structure. By introducing the degree of freedom of rigid body motion, the displacement function of the structure can more accurately describe the actual behavior of the structure, so that a more accurate basis is provided for simulating the actual vibration behavior.

The invention relates to an engineering algorithm for predicting post-buckling load of a composite stiffened wallboard, and belongs to the field of composite engineering algorithm calculation. The method comprises the steps of constructing a stiffness matrix of the composite laminated plate, providing a skin local buckling correction engineering algorithm of the composite stiffened wall plate, and providing a post-buckling calculation method of the composite stiffened wall plate based on a skin correction buckling load, and specifically, through constructing the stiffness matrix of the composite laminated plate and through the corrected engineering algorithm, the post-buckling calculation method of the composite stiffened wall plate based on the skin correction buckling load is provided. According to the method, accurate prediction of the post-buckling load performance of the composite material stiffened wall plate is realized, rapid and accurate prediction of the composite material stiffened wall plate under a complex configuration can be realized, and the deficiency of the post-buckling load performance of the traditional stiffened wall plate in prediction accuracy can be made up; and theoretical support is provided for design optimization and engineering application of the composite stiffened wall plate.

The invention discloses a coaxial electric drive axle gear microscopic modification analysis method based on MASTA and Abaqus, and belongs to the technical field of electric vehicle transmission. The method comprises the following steps: firstly, building an electric drive axle transmission model in the MASTA; secondly, creating power substructure models of key components such as a differential case, a bull gear spoke and an axle housing in Abaqus, and importing the power substructure models into MASTA to construct a high-precision flexible system model; then, a gear finite element model is generated in the MASTA, and a condensation stiffness matrix of the gear finite element model is calculated; thirdly, calculating initial gear dislocation quantity under different working conditions by utilizing advanced loading tooth surface analysis; and finally, performing targeted tooth direction and tooth shape microcosmic modification on the gear according to the dislocation quantity, and verifying whether the transmission error and the tooth surface pressure of the gear meet the design standard or not. Through deep fusion of MASTA and Abaqus, balance of precision and efficiency in system-level simulation is realized, a scientific basis is provided for gear modification, and NVH performance and reliability of the electric drive axle are remarkably improved.

The invention discloses a high-formwork multi-parameter real-time automatic monitoring system and an application method, and relates to the technical field of monitoring analysis, and the high-formwork multi-parameter real-time automatic monitoring system comprises a data stream receiving unit, a stiffness matrix determination unit, a function construction unit, a model calibration unit, a full field set setting unit, an abnormal region determination unit, a root cause analysis unit and an intervention measure output unit. Through multi-source data fusion and physical intelligence, technical optimization of high-formwork safety monitoring from passive alarm to active prevention and control is achieved, multi-source heterogeneous data such as sensors, construction and environments are aligned through precise space-time synchronization, a unified data stream is formed, meanwhile, sparse actual measurement data are utilized, and the safety of the high-formwork is improved. According to the method, parameters of a finite element digital twinborn model are dynamically calibrated, a high-fidelity model synchronous with a real structural mechanical state is generated, forward simulation is performed on the basis of the model, a complete stress field and a force flow path of an area without a sensor are perspective, and jump from point monitoring to field cognition is realized.

The application discloses a kind of prediction methods of building three-dimensional vibration response, comprising the following steps: step one, the dynamic stiffness matrix of the column, beam, floor and shear wall four components in the frame-shear wall structure of building is obtained, according to spatial geometric coordinate relationship is assembled, obtains the dynamic stiffness matrix [D] of building G ;Step two, according to external force load vector [F] G And the dynamic stiffness matrix [D] G Of building, the displacement response vector [X] G Of building is obtained;Step three, according to the displacement response vector [X] G Of building obtained, according to building displacement response, the strategy of installing damping support in the bottom of building is used to carry out damping. According to the technical scheme provided by the application, the strategy of installing damping support in the bottom of building can be used to carry out damping according to building displacement response.

The invention discloses a modal shape and frequency identification method for a motor stator system with an inner gear ring, and the method comprises the steps: building a shell unit and beam unit mixed analysis model of the motor stator system provided with the inner gear ring, and obtaining a total stiffness matrix and a total mass matrix under a local rectangular coordinate system through a matrix displacement method, obtaining a structural stiffness matrix and a structural mass matrix under the overall cylindrical coordinate system by using coordinate transformation; and establishing a discrete free vibration model, inputting the structural stiffness matrix and the structural mass matrix into the model, and outputting modal shapes of different orders and corresponding inherent frequencies of the motor stator system, thereby completing identification. The method comprehensively considers the influence of the stator teeth and the tooth part of the inner gear ring, helps to rapidly identify the modal shape and inherent frequency of the stator system, provides guidance for subsequent vibration acquisition and optimization, and has the advantages of simple modeling, rapid identification and high precision.

This invention relates to the field of electronic digital data processing technology, specifically to computer-aided engineering calculation and numerical simulation data processing technology. This invention discloses a design method for determining the maximum hanging weight of an ultra-thin lifting beam. In incremental iterative solutions, the equivalent stress gradient and strain energy density are extracted in real time to calculate local instability characteristic values. When the rate of change of element strain energy density exceeds a threshold, a mesh reconstruction mechanism is triggered. The nodal displacement field and stress field are extracted as initial boundary conditions. The coarse mesh is split into a fine mesh, and the coordinates of newly added nodes are smoothly interpolated based on the minimum potential energy principle. The local and global mesh degrees of freedom are coupled and assembled to continue nonlinear buckling analysis iterations until the load-displacement curve shows an extreme point. The corresponding load is then extracted as the maximum hanging weight. This invention avoids stiffness matrix singularities and computational divergence caused by distortion of the fixed mesh in local instability regions, ensuring the computational convergence of determining the maximum hanging weight.

This invention relates to a method, device, and medium for displaying mechanical information for risk warning during impacted tooth extraction. The method includes: Step S1: Obtaining the three-dimensional modeling results of each tissue unit; Step S2: Obtaining the modeling results of each tooth segment unit; Step S3: Constructing the tooth segment and its contact constraints with surrounding tissues; Step S4: Based on the constructed contact constraints, combined with the overall finite element stiffness matrix and operational load, solving for the displacement response of each finite element mesh; Step S5: Based on the displacement response of each finite element mesh and the shape function, obtaining the displacement matrix of each element, and further obtaining the strain tensor of each element; Step S6: Based on the constitutive matrix of the tissue material corresponding to each element and the strain tensor, obtaining the stress tensor of each element; Step S7: Comparing the stress tensor of each element with its pre-configured threshold and assigning color values ​​to the finite element mesh of each element. Compared with the prior art, this invention has the advantages of real-time performance and high accuracy.

The application discloses a kind of multi-agent preset time formation control methods based on backstepping method under distance rigidity matrix, comprising: 1) based on the double integrator dynamics model of multi-agent system is established based on rigidity graph theory, define the minimum and infinitesimal rigidity frame corresponding to the expected formation;2) introduce backstepping design framework, define virtual speed error variable;3) introduce time-varying scaling function to construct time scale transformation;4) design distributed preset time controller;5) through numerical simulation and physical platform are verified, verify the effectiveness of distance error in user preset time under different initial conditions converges to the vicinity of zero.The application is fused by backstepping and preset time scaling function, for the first time in only local relative measurement distance rigidity formation Convergence time user self-defined preset is realized, and convergence time upper bound is independent of initial condition and controller parameter, provides reliable, engineering implementation solution for time-critical multi-agent cooperative task.

The application discloses a wafer positioning-based rotary base monitoring method and device and a medium, relates to the technical field of semiconductor preparation, and comprises the following steps: acquiring real-time pressure data of a multi-axis piezoelectric sensor, performing finite element analysis of the real-time pressure data through a stiffness matrix, and obtaining rotary base clamp root stress data; based on preset rotary base clamp jaw deformation parameters, real-time deformation variable inversion is performed to determine rotary base clamp jaw body stress data; the rotary base clamp stress data and the jaw body stress data are time-synchronously processed to obtain rotary base real-time stress parameters; the rotary base real-time stress parameters are subjected to abnormal threshold determination to determine a rotary base abnormal state; the rotary base abnormal state is uploaded to a preset closed-loop controller, and an abnormal rotary base alarm signal is sent through the closed-loop controller. The application solves the technical problem of preparation precision reduction of a wafer in a wet preparation process.

The application provides a contact problem simulation method based on a virtual unit method, which comprises: (1) mesh generation, (1.1) data extraction and mesh construction; (1.2) boundary information extraction; (2) material definition: for different materials, material attribute parameters are given, a constitutive model of the material is defined, and material attribute information of a contact body is provided for subsequent iterative solving; (3) contact search, (3.1) global contact detection; (3.2) local contact detection and non-matching mesh processing; (3.3) contact constraint construction and friction parameter setting; (4) boundary condition application, (4.1) displacement constraint setting; (4.2) stress boundary setting; (5) iterative solving, (5.1) stiffness matrix assembly and residual calculation; (5.2) nonlinear solving strategy; (6) post-processing, (6.1) data extraction and result export; (6.2) visualization processing. The application has reasonable concept, high mesh adaptability, low algorithm complexity, and can realize unified solving of multiple models.

The invention belongs to the technical field of wallboard part assembly deviation analysis, and discloses a composite wallboard part assembly deviation calculation method considering interference connection, and the method comprises the steps: obtaining the initial manufacturing deviation of a part A and a part B, and extracting a super-element stiffness matrix of the parts and an assembly; deterministic positioning and clamping are conducted on the part, and clamping force is calculated; interference connection force is applied for connection, contact calculation is carried out at the assembly connection point, and the interference connection force and contact force are dynamically corrected in an iteration mode until the assembly connection surface reaches contact balance and is located at an ideal position; releasing the constraint of the assembly connecting point and the over-constraint positioning point, and calculating the rebound deformation of the assembly body caused by the corrected acting force; and the initial manufacturing deviation and the springback deformation are synthesized, and the final assembly deviation is calculated. According to the method, the influence of interference connection and contact nonlinearity is considered, and the accuracy of assembly deviation prediction is improved.

The invention discloses a construction method of an efficient dynamic time-history calculation model of a large-scale structure based on equivalent boundary recognition. The construction method comprises the following steps: step 1, establishing a finite element model of the structure; 2, extracting a stiffness matrix, a damping matrix and a mass matrix of the finite element model; 3, assuming a structure equivalent boundary condition and a polynomial coefficient according to the boundary shape of the structure model; 4, obtaining a corrected polynomial coefficient; 5, calculating a diagonal vector curve and a secondary diagonal vector curve according to the polynomial coefficient; step 6, the diagonal vectors are recombined into rigidity, damping and mass matrixes of equivalent boundary conditions; and step 7, generating an efficient calculation model. According to the method, small and medium seismic response data accumulated during operation of a large structure is utilized, a high-precision equivalent boundary condition recognition algorithm is established, and an optimized equivalent boundary condition is adopted to replace a huge foundation degree of freedom in a traditional model, so that a novel calculation model with both calculation efficiency and precision is constructed.

The invention provides a warping simulation method and device of a packaging structure and electronic equipment, and relates to the technical field of packaging, and the method comprises the steps: obtaining material characteristic parameters and technological parameters of the packaging structure; determining a target time point set based on the process parameters; based on the target time point set, determining a packaging structure model corresponding to each time point; determining a target stiffness matrix, a target thermal internal force and a target thermal bending moment of the packaging structure model corresponding to the current temperature according to the material characteristic parameters; obtaining a birth state of each activation layer in the packaging structure model corresponding to the current time point, and determining a birth additional load of the packaging structure model according to the birth state; and determining a target warping value of the packaging structure model corresponding to the current temperature according to the target stiffness matrix, the target thermal internal force, the target thermal bending moment and the birth additional load, so that the warping conditions of the packaging structure in different process stages can be accurately simulated, and the accuracy and reliability of warping simulation are improved.

This invention relates to the field of building structure optimization design technology, and discloses a method for energy-saving optimization design of prefabricated tower buildings. The method establishes a discrete feature database containing component cross-sections and semi-rigid node parameters; performs topology reduction analysis, eliminating redundant elements based on sensitivity coefficients and verifying connectivity to generate a skeleton model; performs stiffness and internal force co-calculation, constructing a semi-rigid element stiffness matrix using modified shape function coefficients, and bi-directionally matching component cross-sections and node stiffness according to the dominant internal force mode of the components; calculates the structural assembly entropy, constructs an objective function containing the total structural mass and assembly entropy, and uses simulated annealing algorithm for iterative optimization; finally, based on the optimization results, it outputs a bill of materials and a three-dimensional building information model containing detailed node construction parameters. This invention achieves simultaneous optimization of structural lightweighting and component standardization through the coordinated adjustment of node stiffness and component cross-sections and assembly entropy constraints.

The invention belongs to the technical field of bridge structure health monitoring, and discloses a suspension bridge structure system identification method based on observability and state estimation and a high-efficiency algorithm thereof. According to the characteristics of different components of the suspension bridge, an observability state equation of the suspension bridge is established, the identifiability problem of unit parameters is converted into the solvability problem of a mathematical equation, a Jacobian matrix is constructed in combination with a state estimation high-efficiency algorithm (OM-SE), explicit mapping between measurement data and state variables is achieved, and the measurement accuracy of the suspension bridge is improved. And the parameter identification precision and the calculation efficiency are improved. The overall rigidity matrix is established through the parabola main cable unit, the Euler-Bernoulli beam unit and the direct rigidity method, parameter inversion is performed by adopting a double-layer iteration process, the method is suitable for identifying the bending rigidity of the main beam and the axial rigidity of the cable of the large-span suspension bridge, and the method is verified through a reduced scale model test and an actual suspension bridge numerical value case, and the method is suitable for identifying the bending rigidity of the main beam and the axial rigidity of the cable of the large-span suspension bridge. The identification error is controlled within 5%, and the calculation efficiency is improved by more than 70%.

The invention provides a model construction method and device for a spherical shear fork remote motion center mechanism, and can be applied to the technical field of equipment modeling. The method comprises the following steps: performing virtual joint modeling on a model structure of a preset spherical shear fork remote motion center mechanism to obtain a rigidity matrix for describing the rigidity of the model structure; according to the alternative materials for constructing the spherical scissor units, the alternative sizes of the spherical scissor units and the rigidity matrix, the rigidity value of the preset spherical scissor remote motion center mechanism obtained through construction is determined; taking rigidity values obtained by performing finite element simulation on the preset spherical shear fork remote motion center mechanism as a source domain, and performing transfer learning on the plurality of rigidity values to obtain a plurality of calibration rigidity values; and selecting a target stiffness value from the plurality of calibration stiffness values based on an optimization target determined according to the purpose of the preset spherical scissor remote motion center mechanism, so as to construct the preset spherical scissor remote motion center mechanism based on the configuration combination corresponding to the target stiffness value.

The application relates to a kind of integrated design method of continuum structure and its support assembly, method includes the following steps: (1) defining explicit topology description function, for describing the geometry topology of continuum structure and support assembly update and iteration;(2) based on explicit topology description function, construct weighted interpolation function, for applying Dirichlet boundary condition;(3) derive the modified strain matrix and stiffness matrix, establish finite element analysis model;(4) establish the integrated design model of continuum structure and its support assembly;(5) topology optimization model sensitivity derivation and calculation;(6) explicit and implicit design variable update and iteration.Through the application, the customizable explicit description of support assembly is realized, the frequent mesh update and the introduction of a large number of mesh-related design variables are avoided, the integrated design of continuum structure and support assembly is realized, and the mechanical properties of compliant mechanism and general structure are improved.

The invention provides a Pushover lateral load dynamic updating method considering multi-stage damage, which comprises the following steps: setting damage parameters for quantifying the damage state of a structural member, dividing multi-stage damage grades, and determining a damage parameter critical value corresponding to each damage grade; calculating an initial lateral load vector of the structure, and determining target displacement of Pushover analysis; the method comprises the following steps: a, executing Pushover analysis by adopting a current lateral load vector, and monitoring damage parameters of a component and pushing and covering displacement of a structure in real time; b, when a damage parameter reaches a critical value of any damage level and pushing displacement does not reach target displacement, automatically triggering lateral load updating, and dynamically calculating updated lateral load distribution based on a secant stiffness matrix and a node displacement vector of the structure in a current damage state; and taking the updated lateral load distribution as a new current lateral load vector, repeating the steps a and b, continuing to execute Pushover analysis until the pushing displacement reaches the target displacement or the structure is damaged, and outputting a Pushover curve of the structure.

The present application relates to the technical field of mechanical arm control, and particularly relates to a kind of mechanical arm compliance control method based on sensing monitoring.The method comprises: obtaining the relative load degree characteristic value of a monitoring position at a moment;Obtain the relative rigidity degree estimation coefficient of each moment of each monitoring position, and then obtain the rigidity estimation credibility of each moment of each monitoring position by combining motor speed;Obtain the final decomposition weight of each moment of a monitoring position, and then decompose the relative rigidity degree estimation coefficient of each moment of the monitoring position based on STL algorithm to obtain trend term and periodic term;Then predict the relative rigidity degree estimation coefficient prediction value of next moment;Based on the relative rigidity degree estimation coefficient prediction value of next moment of a monitoring position, the relative rigidity degree estimation coefficient of each historical moment and the relative rigidity degree estimation coefficient prediction value, the predicted rigidity matrix adjustment coefficient is obtained, and the mechanical arm is controlled.The present application can effectively control the mechanical arm.

This invention discloses a curvature-adaptive modal identification method for acoustic black hole beam structures, belonging to the field of acoustic black hole structure dynamics analysis technology. This method achieves accurate and efficient solutions for the natural frequencies and mode shapes of helical acoustic black hole structures by standardizing the input data of the acoustic black hole structure, combining adaptive mesh generation, combined optimization algorithm solution, and result verification. Specifically, it includes steps such as unified input data processing, parameter fractal dimension adaptation, adaptive non-uniform mesh generation, combined optimization algorithm solution, and result verification, solving technical problems in existing technologies such as poor mesh adaptability, low accuracy in constructing the stiffness matrix of variable cross-section elements, and difficulty in balancing solution accuracy and efficiency. The mesh generated by this invention can accurately fit the variable thickness and curvature characteristics of the helical acoustic black hole beam structure, achieving high solution accuracy and significantly improved computational efficiency. The output results can provide reliable data support for the design of acoustic black hole dampers and have a wide range of applications.

The present application relates to the technical field of building curtain wall construction, in particular to a curtain wall embedded part deviation compensation method and system for uneven settlement of alluvial layer. It includes the following steps: generating initial three-dimensional settlement field data matrix of target building main structure at preset future time node; extracting pore pressure dissipation lag rate, carrying out lag compensation correction on initial matrix to generate modified three-dimensional settlement field data matrix; converting it into predicted three-dimensional deviation vector of each curtain wall embedded part node; combining keel unit stiffness matrix to solve panel transmission stress; constructing solving model with minimum overall compensation adjustment allowance as optimization target and panel transmission stress not exceeding material allowable stress as constraint condition, generating optimal three-dimensional compensation parameter matrix and issuing it for execution of reverse deviation compensation. The present application overcomes settlement prediction phase error caused by water blocking effect, avoids secondary damage caused by isolated positioning through global stiffness cooperation, and realizes safe and accurate feedforward closed-loop control.

This invention relates to the field of digital biomechanical assessment technology, providing a method for inverse calculation of dynamic pressure distribution, including: S1: offline initialization, performing finite element discretization on a transparent flexible elastomer, constructing and preprocessing a global stiffness matrix; S2: online scanning and displacement boundary mapping, acquiring the initial height field of the elastomer under no-load conditions and the real-time height field of the bottom of the test part after the elastomer is pressed under load; S3: multi-layer medium refraction dynamic compensation, performing layered refraction correction on the laser beam path based on the surface normal vector of the elastomer after compression; S4: inverse finite element analysis (iFEA) pressure inverse calculation, inputting the corrected displacement field as boundary conditions into a preset mechanical model; S5: geometric-dynamic data fusion output, mapping high-precision three-dimensional geometric mesh and high-resolution pressure texture pixel by pixel. This simultaneously acquires high-precision three-dimensional foot morphology and sub-millimeter-level pressure data, solving the problems of scanning distortion and disconnection between shape and pressure data.

The invention discloses a nondestructive monitoring method and system for the structural stability of a building curtain wall, and belongs to the technical field of building monitoring, and the method comprises the steps: collecting a time domain vibration response signal of the building curtain wall under environmental excitation through vibration collection equipment; performing signal denoising and spectral analysis on the time domain vibration response signal, and identifying a current modal parameter of the curtain wall structure through an operational modal analysis method; constructing an initial finite element reference model of the building curtain wall, and determining theoretical modal parameters of the reference finite element model; comparing the current modal parameter with the theoretical modal parameter, and calculating a difference index of the modal parameter; and based on the difference indexes of the modal parameters, in combination with a preset damage identification algorithm, inverting the stiffness matrix change of the curtain wall supporting structure so as to judge the stability state of the curtain wall structure and output a monitoring report. The method can solve the problems of low checking efficiency, insufficient retrieval precision, high false alarm rate caused by interference of environmental factors and the like.

The application discloses a kind of automatic monitoring method, system and storage medium for reconstruction and expansion slope construction, method includes: in reconstruction and expansion slope monitoring section, array type displacement meter is laid out, biaxial tiltmeter is installed at anchor rod grid beam, multi-dimensional sensing unit is integrally laid with wireless transmission module, and deep displacement and structure body inclination data are automatically collected and wirelessly uploaded to cloud platform storage.Globally global coordinate unified conversion is carried out to discrete data, three-dimensional deformation surface is constructed by minimum curvature surface fitting, and full-field continuous displacement field is inverted to eliminate spatial mapping deviation.Combined with the characteristics of new and old rock-soil layering and zoning, the interlayer interface shear transfer function is established, the correction stiffness matrix is assembled, and the heterogeneous overall mechanical analysis model is constructed.The cloud platform substitutes displacement field to solve layered and structure body displacement, draws relevant curve and determines the stability of slope in combination with monitoring standard.

The embodiment of the invention provides a method for determining the deflection of a crane jib, and belongs to the technical field of engineering machinery. The method comprises the following steps: acquiring an arm head hanging load transverse force borne by an arm head of a suspension arm of the crane and an arm head torque corresponding to the arm head; according to the arm head hanging load transverse force, the arm head torque, a pre-obtained arm head elastic stiffness matrix of the hanging arm and a pre-obtained arm head geometric stiffness matrix of the hanging arm, the arm head deflection of the arm head and the arm head rotation angle of the arm head are determined; according to the total length of the suspension arm, the deflection of the arm head, the rotation angle of the arm head and the hinge point distance between the hinge point of the arm root and the hinge point of the support of the variable-amplitude oil cylinder, the axial position-deflection relation of the suspension arm corresponding to the suspension arm is determined, and the axial position-deflection relation of the suspension arm represents the relation between the axial position of the suspension arm and the deflection corresponding to the axial position of the suspension arm; and according to the axial position-deflection relation of the suspension arm, the target deflection corresponding to the target suspension arm axial position of the suspension arm is determined. The deflection of the suspension arm can be determined, and the method is suitable for a low-computing-power platform.