151 results about "Constitutive equation" patented technology

The invention discloses a pumped storage power station building foundation dangerous point management and control system based on BIM, and the system comprises a data layer which enables linear engineering monitoring data to be organized into a high-order tensor of pile number * time * sensor type * spatial position through four-dimensional tensor modeling, and carries out the Tucker decomposition, strain rate abrupt change points are dynamically recognized in the compression process by combining sliding window anomaly detection, original data are directly stored, and then a hierarchical storage strategy is implemented on non-abrupt change data through a data value evaluation model driven by deep reinforcement learning; the model layer is used for fusing a physical information neural network, embedding a rock-soil mechanics constitutive equation into an LSTM network to construct a mixed loss function, pre-training a general geologic model through transfer learning, and then carrying out few-sample fine tuning in combination with project data; and the application layer is used for dynamically generating a hazard source list through a BIM model and triggering instant early warning based on the compressed and reconstructed data of the data layer and the output of the model layer, and simulating a disaster situation development path in combination with a digital twinborn technology.

The invention discloses a carbon fiber fuselage structure layering optimization design method and system, and relates to the technical field of material structure intelligent design, and the method comprises the steps: importing a three-dimensional CAD model of a fuselage structure, collecting physical field input parameters, integrating and generating a digital engineering package, and carrying out the temperature field calculation through a thermal coupling solver based on the digital engineering package, the method comprises the following steps: acquiring temperature distribution of a fuselage, mapping the temperature distribution of the fuselage into a thermal stress field through a thermoelastic constitutive equation, performing vector superposition on the thermal stress field and a mechanical load to generate a comprehensive stress cloud picture, starting asymmetric layering design for a high-stress region based on the comprehensive stress cloud picture, and verifying mechanical balance of layering angle combination through a balance optimization algorithm. And obtaining a layering optimization scheme. The thermal deformation sensitivity is accurately evaluated by using the thermal-mechanical coupling solver and the finite element disturbance analysis method, and thermal deformation can be effectively predicted and controlled, so that the dimensional stability and the surface quality of a final product are improved.

The invention relates to the technical field of computer-aided engineering, in particular to a nonlinear efficient iterative solving method for thermal strain load, which is used for solving an obtained finite element equation by using a modified Newton-Raphson method and comprises the following steps of: firstly, establishing a geometric model to be analyzed and performing grid division; the method comprises the following steps: firstly, setting a model to be analyzed, then setting boundary conditions and temperature field change conditions of the model to be analyzed, finally, inputting the conditions into an algorithm solver, solving a nonlinear equation set, iteratively inputting a load continuously according to a modified Newton-Raphson method in the solving process, calculating node displacement until convergence, and solving stress-strain conditions in the welding process according to a material constitutive relation. In the solving process, by judging the size of the two norms of the displacement increment obtained in the adjacent increment step heuristic stage, the convergence of nonlinear solving of the structure is enhanced through the calculation mode, and the solving speed of the nonlinear problem in the thermal elastic-plastic constitutive structure is increased.

The invention relates to the technical field of metal processing detection, in particular to a copper bar drawing residual stress detection method and system, and the method comprises the steps: collecting production line process state parameters in real time, and mapping the parameters to a predefined multi-dimensional process parameter space to generate a dynamic state vector; adjusting a key coefficient of a material constitutive equation based on the dynamic state vector, and generating a reference stress field; synchronously acquiring multi-physical field data on the surface of the copper bar; constructing a physically constrained machine learning model, and generating a cross-scale fusion stress field; an adjoint optimization equation is constructed based on dynamic process constraints, and model weight parameters are updated through real-time back propagation gradient; and outputting a new cross-scale fusion stress field according to the updated machine learning model, and obtaining related indexes of residual stress detection. According to the invention, the defects of static stiffness and insufficient data fusion of the model in the prior art are effectively overcome, and the real-time detection of the residual stress with adaptive technological parameters is realized.

The invention relates to the technical field of geological information, and discloses a precise positioning method and system based on geological mineral product three-dimensional modeling, and the method comprises the steps: deploying a laser ranging array, a micro-seismic array and a fiber grating sensing array, and synchronously collecting multi-source deformation and stress data; after space-time alignment and filtering, an improved ICP algorithm is adopted to reconstruct a millimeter-level precision three-dimensional point cloud model; a safety coefficient cloud picture is calculated by combining a geomechanical constitutive equation, and a risk area is automatically delineated according to a three-level threshold value; and closed-loop control instructions such as voice alarm, thermodynamic diagram pushing, grouting coordinates and avoiding paths are generated. The system is composed of a sensing deployment unit, a data preprocessing unit, a point cloud reconstruction unit, a mechanical analysis unit, a risk delineation unit and an instruction distribution and execution unit. Millimeter-level positioning, sub-hour-level early warning and full-automatic intervention of goaf deformation are achieved, the early warning accuracy rate exceeds 95%, the emergency response is shortened to the minute level, and mine safety and mining efficiency are improved.

The present invention proposes a method for predicting the high-temperature creep life of nickel-based single crystals under the influence of orientation deviation, which relates to the field of reliability technology. The method comprises: establishing a three-dimensional finite element round rod model based on the dimensions of a nickel-based single crystal creep specimen; establishing a constitutive equation for the nickel-based single crystal based on crystal plasticity theory, wherein the constitutive equation for the nickel-based single crystal includes a deformation equation that considers orientation deviation and a damage equation that considers orientation deviation; combining the three-dimensional finite element round rod model and the nickel-based single crystal constitutive equation to perform creep finite element simulation calculations on the round rod model; and establishing a creep time-strain curve and predicting the creep life based on the results of the creep finite element simulation calculations. The present invention can relatively accurately evaluate and predict the high-temperature creep life of nickel-based single crystal turbine blades used in actual industrial manufacturing.

The invention provides a ship weld joint stress deduction and fatigue damage evaluation method and system, and the method comprises the steps: firstly building a finite element model of a container ship, calculating the inherent frequency of the finite element model and a corresponding vibration mode through employing a Lanczos algorithm, and forming a plurality of free vibration modes of the finite element model; the inherent frequency of each free vibration mode is compared with a preset frequency range, and the free vibration mode in the preset frequency range is reserved and serves as a basic mode; calculating a theoretical stress distribution field of the whole ship structure in each basic mode based on the vibration mode through a strain-displacement relation equation and a material constitutive equation, arranging a plurality of stress monitoring points and weld joint evaluation points, and performing inversion by adopting a mode superposition method to obtain stress values of the weld joint evaluation points; and finally, calculating a total fatigue damage value by adopting a rain flow counting method and combining a fatigue evaluation method, and evaluating whether the total fatigue damage value is reliable or not, thereby facilitating the realization of long-term fatigue life management of the welding seam area.

The invention belongs to the technical field of rock mechanical property research, and discloses a rock elastic-plastic damage constitutive model establishment method considering freeze-thaw strength and compaction effect, and the method comprises the following steps: proposing a concept of freeze-thaw strength to comprehensively reflect the freeze-thaw damage degrees of rock at different freeze-thaw temperatures and durations; performing a freeze-thaw test and a triaxial compression test on the rock test piece, recording test data in the triaxial compression test process, drawing a stress-strain curve based on the test data, and constructing a yield function and a hardening rule of the rock test piece based on the strength characteristic parameters of the freeze-thaw rock; establishing a rock elastic-plastic damage constitutive equation considering the freeze-thaw effect and the compaction effect; and determining a parameter expression of the rock elastic-plastic damage constitutive model based on an elastic-plastic theory in combination with freeze-thaw rock triaxial compression test data. According to the technical scheme, the compaction stage and the volume deformation of the frozen-thawed rock can be reflected, and the method has the advantages of being wide in application range and high in prediction precision.

The invention provides a composite material damage type identification method based on multiple characteristic parameters of an acoustic emission signal, which comprises the following steps: designing and carrying out an acoustic emission signal acquisition test aiming at a composite material damage evolution behavior; key acoustic emission signal features are screened out based on a principal component analysis method, and the corresponding relation between a clustering result and a damage form is verified; a transient damage contribution index is proposed based on a clustering result to represent the contribution degree of each damage to the overall damage at a certain moment, and a damage function is proposed in combination with strain energy. The method effectively solves the bottleneck problems of high feature redundancy and serious mode confusion of the traditional acoustic emission signal, perfects the spatial correlation model of the energy release rate and the damage mode in the composite material progressive damage theory, provides an experimental basis for establishing an anisotropic damage constitutive equation considering the laying layer direction, and has a wide application prospect. And a new method is provided for online monitoring of a composite material structure under a complex working condition.

The invention provides a liquid film flow simulation method of a power law fluid, which is characterized in that nondimensionalization and simplification are carried out based on a control equation and a constitutive equation of liquid film flow of the power law fluid, and normal stress and shear stress balance conditions on the surface of the liquid film under the action of gravity and airflow shear force are deduced; and according to a liquid film surface boundary condition and a wall surface non-slip boundary condition, an expression of speed distribution in a power law fluid liquid film under the action of airflow shearing is provided. Deriving according to an integral boundary layer method to obtain a differential equation set of evolution of liquid film thickness and flow along with time and flow direction, wherein the differential equation set can be used for researching influence factors of liquid film flow characteristics of the power law fluid; time discretization is carried out by adopting a Runge-Kutta method, spatial discretization is carried out by adopting a finite difference scheme, so that the change rule of the liquid film thickness along with the time and the flowing direction is obtained, and the influence rule of the airflow shear force and the power exponent on the change of the liquid film thickness is discussed.

The invention provides a frequency dispersion curve calculation method based on a decoupling type Legendre-Gauss-Labatto spectral element method, and belongs to the technical field of discrete solution of guided wave propagation in a thin plate, and the method comprises the following steps: S1, constructing a wave equation which comprises a Cartesian space coordinate system based on an orthotropic plate, and combining a constitutive equation, a geometrical relationship under the coordinate system and guided wave displacement to obtain a wave dispersion curve; substituting into a control equation when the volume force is zero to obtain an improved three-dimensional elastic wave equation; s2, a differential matrix is constructed, wherein discretization and decoupling are carried out on a wave equation on the basis of a Lagrange interpolation basis function of a Legendre-Gauss-Labatto node; s3, explicitly embedding the stress free boundary condition into the solving process through matrix line transformation, and solving to obtain a frequency dispersion curve, the derivation process is simplified, the boundary and the interior of the material are decoupled, and the physical significance is clearer. And meanwhile, the high-precision advantage of the spectrum method is maintained, and the calculation rate is remarkably improved.

The invention relates to the technical field of industrial adaptive control, in particular to an automatic processing parameter optimization method and system for a five-axis numerical control machine tool. The specific implementation process comprises the following steps: carrying out discrete analysis on machine tool parameters containing a cutter shaft vector and a translation shaft position coordinate, and generating time-varying geometric features; constructing a numerical control machine tool simulation model according to the material constitutive equation and the frequency domain response function, calculating a regenerative flutter prediction sequence, and dividing a real-time parameter feasible region by combining global rigidity and local flexibility data; and performing global iteration optimization on the processing parameter function group by using a multi-target optimization algorithm in the feasible region, and locking a Pareto optimal solution set to perform automatic optimization on the processing process. According to the method, the simulation model containing the physical dynamic characteristics and the real-time parameter feasible region are constructed, flutter and errors caused by stiffness matching imbalance are avoided, collaborative optimization of multiple target variables is achieved, and the productivity efficiency of the numerical control machine tool is remarkably improved on the premise that the machining precision is guaranteed.

The invention relates to a fractured rock thixotropic fluid seepage diffusion path characterization method, and belongs to the technical field of geotechnical engineering. The method comprises the following steps: constructing a fractured rock mass network geometric model based on geological exploration data; constructing a fluid seepage constitutive equation according to the thixotropic fluid characteristic parameters; grid division is carried out based on the constructed fractured rock mass network model, a one-dimensional fluid seepage channel is assembled, and dimension reduction solving of a complex problem is achieved; fluid pressure and fluid seepage velocity parameters are obtained through iterative solution, and a fluid characteristic parameter change rule is updated in real time; and generating and outputting a fluid seepage diffusion behavior tracking result under a set working condition based on the simulation state quantity. Compared with the prior art, the method has the advantages that the complex fluid diffusion rule caused by the thixotropic fluid viscosity time-varying characteristic can be accurately described, the method is suitable for accurate characterization of the grouting diffusion path in geological engineering, and a scientific basis is provided for optimizing construction parameters.

The invention relates to the technical field of coal mining and rock mechanics numerical simulation, and discloses a stress field reconstruction method of a plane strain numerical simulation model for coal mining, and the method comprises the following steps: firstly, obtaining an actually measured vertical stress increment and an actually measured bearing pressure peak value position of a stope face; then, an initial plane strain numerical simulation model is constructed, the space error between the peak position of the simulated bearing pressure and the actual measurement position meets a preset threshold value by adjusting the excavation step pitch, and therefore the numerical simulation calculation state is locked to eliminate space-time dislocation; a simulation strain increment is extracted in a locked state, a theoretical vertical stress difference equation is constructed based on an elastic mechanics plane strain constitutive relation, and a parameter inversion equation set is established in combination with multi-measurement-point data; and solving the corrected elastic modulus and Poisson's ratio by using a least square optimization algorithm. According to the method, through physical state locking and incremental theory inversion, system errors are effectively eliminated, and the reconstruction precision and mechanical preciseness of the mining-induced stress field are improved.

The invention relates to the technical field of data processing, and provides an engineering problem solving method and system based on constitutive model driving, and the method comprises the steps: carrying out the physical item mining of priori knowledge, and obtaining a candidate constitutive item set; performing data enhancement on the experimental data through a Gaussian noise function to obtain an expanded training data set; performing nested optimization on the candidate constitutive item set to obtain an optimal constitutive equation structure and parameter combination; according to a multi-target screening criterion, carrying out interpretability verification on the optimal constitutive equation structure and the parameter combination, and establishing and obtaining an engineering problem constitutive model; and solving a to-be-solved engineering problem through the engineering problem constitutive model to obtain a solving result. According to the construction method for the high-precision constitutive model of the engineering problem, the automatic construction of the interpretable engineering constitutive model is realized, and the prediction accuracy is improved.

The invention provides a true triaxial stratified rock disturbance damage anisotropy model and a numeralization method, and the method comprises the following steps: S1, carrying out a true triaxial static test, and researching a peak intensity rule; s2, carrying out a true triaxial multistage disturbance test, and analyzing a disturbance critical intensity rule and anisotropic disturbance damage evolution characteristics; s3, establishing an anisotropic disturbance damage evolution equation; s4, constructing a stratified rock maximum failure constitutive equation under the true three-dimensional stress; s5, constructing a viscoelastic constitutive equation in which the true three-dimensional stress disturbance effect is introduced; s6, compiling the constitutive model established in S5 into a numeralization subprogram; s7, obtaining the maximum failure function parameter of the stratified rock in the peak state; s8, acquiring a three-dimensional disturbance yield function parameter of the stratified rock in a disturbance critical state; and S9, verifying the prediction effect and applicability of the model on the stratified rock disturbance deformation evolution. According to the invention, theoretical characterization of true three-dimensional stress, dynamic disturbance and spatial stratified coupling effect of stratified rock mass deformation and failure is realized.

The invention discloses a multi-source information fusion distribution transformer state evaluation method and system, and the method comprises the steps: collecting multi-source data, and obtaining a state quantity data set through preprocessing; constructing an electromagnetic thermal coupling model based on the state quantity data set, and outputting space physical field distribution; constructing a causal chain through displacement gradient mutation detection based on space physics field distribution, and outputting coordinates of a fault intrinsic source point; extracting a state response parameter by positioning a fault point based on the coordinates of the fault intrinsic source point, and obtaining an equipment health index through a critical physical parameter; and obtaining a risk score of the distribution transformer according to the equipment health index, and generating a state assessment report through a multi-dimensional risk assessment algorithm. According to the method, the electromagnetic thermal full-coupling model is constructed, and the constitutive equation is fused by adopting the cross-field energy analysis method, so that the hidden defect detection rate and the service life prediction accuracy of the distribution transformer are improved, the service cycle of key power equipment is prolonged, and the operation and maintenance cost is reduced.

The invention relates to the technical field of materials, and discloses a propellant anisotropic damage constitutive model construction method and related equipment.The propellant anisotropic damage constitutive model construction method comprises the steps that based on the deformation gradient multiplicative decomposition theory, the total deformation gradient of a propellant is decomposed, and then a multi-scale damage evolution framework is established; respectively constructing a viscoelastic response model, a particle interface dissociation model, a dehumidification hole deformation model and a microcrack statistical evolution model in the multi-scale damage evolution framework, and coupling stress power contribution of each model to form a comprehensive damage constitutive equation; acquiring macro-mechanical response data and microstructure evolution data of the propellant, and performing inversion optimization on model parameters of the comprehensive damage constitutive equation in combination with an improved genetic algorithm; and based on the model parameters after inversion optimization, determining a constitutive model for quantitatively characterizing a coupling relationship between anisotropic damage, microstructure evolution and macromechanics response of the propellant. According to the invention, the prediction precision and applicability of the constitutive model under the load loading condition can be improved.

The present application relates to a kind of pre-tensioned steel wire rope lateral impact response calculation method considering geometric and friction nonlinear coupling.First, the linear tensile constitutive model of pre-tensioned steel wire rope is constructed, Von Kármán large deflection theory is introduced, and the geometric hardening relationship of the nonlinear growth of axial tension with lateral deflection is established;Subsequently, a bilinear bending stiffness model is constructed to calculate the critical anti-sliding torque that evolves dynamically with tension;Based on the principle of energy conservation and Rayleigh-Ritz method, the system total potential energy functional of axial tensile potential energy and nonlinear bending potential energy is constructed, and the maximum impact deflection and tension response of the steel wire rope are obtained by solving the energy residual equation, the maximum response is substituted back into the constitutive equation, and the maximum nominal stress of the midspan cross section, the maximum axial tension and the extension length of the internal slip zone are calculated.The present application has very high calculation efficiency compared with full-size finite element simulation, and is suitable for the rapid design and safety evaluation of steel wire rope protection system.

The invention relates to the field of bearing steel forging, in particular to a construction method and application of a material model for predicting structural evolution of 100CrMo7-3 bearing steel in the forging process, and the model comprises an austenite grain growth model, a thermal deformation constitutive equation, an austenite dynamic recrystallization integral number model and an austenite dynamic recrystallization grain size model. By establishing the model, the whole chain prediction evolved from a microstructure to a macroscopic forging load is realized for the first time. By adopting the model, a process window can be locked only through single simulation, the grain size of the core of the forge piece is successfully compressed to be below an industry critical value, and compared with a traditional method, the forging load prediction precision is improved in a leap-over mode.

The invention relates to a fatigue life prediction method based on a physical failure mechanism in a liquid lead bismuth environment, and the method comprises the following steps: building a representative volume element model, and defining elements belonging to a slip band; defining a crystal plasticity constitutive equation; determining parameters in the crystal plasticity constitutive equation; calculating the average shear strain range of the slip band; carrying out a fracture toughness test to obtain specific fracture energy; establishing a fatigue life prediction model based on a physical failure mechanism; carrying out a symmetrically cyclic low-cycle fatigue test on the metal material in a predicted-temperature high-oxygen liquid lead bismuth environment to determine the thickness of an oxide film; and establishing a fatigue life prediction model in the high-oxygen-concentration liquid lead bismuth environment, and predicting the fatigue life of the metal material in the high-oxygen-concentration liquid lead bismuth environment. According to the method, the fatigue life in the liquid lead-bismuth environment can be predicted by carrying out a low-cycle fatigue test for calibrating crystal plasticity constitutive equation parameters in the air at the predicted temperature and a fracture toughness test in the air and liquid lead-bismuth environment.

The invention discloses an earthquake short-term and temporary prediction system and method based on physical constraint deep reinforcement learning, and the method comprises the steps: firstly carrying out the preprocessing and time-space fusion of a time sequence InSAR image and underground water level monitoring data, and generating a surface strain field and a water level rate field; then, a physical constitutive equation is constructed based on a pore elasticity theory, data driving and physical prior inversion region coupling coefficients are fused, and a physical guidance collaborative anomaly index is calculated; further constructing a deep reinforcement learning agent, and learning an optimal prediction strategy in a physical constraint environment by taking a collaborative anomaly index as a state and issuing early warning, delaying a decision and requesting more observations as actions; and finally, according to the action probability and the abnormal spatial features output by the intelligent agent, dynamically evaluating and predicting the confidence coefficient and the risk level. According to the method, deep fusion of a physical rule and a data driving strategy is realized, the accuracy, robustness and interpretability of earthquake short-term and temporary prediction are remarkably improved, and the false alarm rate is effectively reduced.

The invention discloses a piezoelectric effect finite element modeling method considering electric field and rate related hysteresis characteristics, belongs to the technical field of piezoelectric driving theories, and aims to solve the problem that a finite element model with a fixed piezoelectric coefficient is large in error during displacement analysis. A piezoelectric effect finite element modeling method which adopts a time-varying piezoelectric coefficient and considers electric field and rate-dependent hysteresis characteristics is provided, and accurate description of piezoelectric displacement under excitation of different electric signals is realized. Comprising the following steps: S1, piezoelectric displacement measurement; s2, identifying a hysteresis model and parameters; s3, regression fitting of the hysteresis model; and S4, finite element modeling. According to the modeling method of the piezoelectric ceramic finite element model, the hysteresis model is combined with the piezoelectric constitutive equation in the finite element model, the modeling method of the piezoelectric ceramic finite element model considering the hysteresis characteristic is provided, and the established finite element model can accurately predict output displacement tracks under different electric signal excitation and force-electricity coupling excitation in the simulation process; and the method has a certain promotion significance on the research of shearing piezoelectric ceramic analog simulation.

The invention relates to the technical field of mine safety monitoring, and discloses a device and method for measuring mining-induced stress, temperature and water pressure of a mine, the device comprises a high-strength metal shell, a hollow connecting rod, a water pressure measuring unit, a strain measuring unit, a temperature measuring unit and a single through optical fiber, and the surface of the shell is provided with a spiral resin grouting channel; a mechanical occlusion structure is constructed through a solid resin entity, and rock mass displacement is equivalently transmitted to a shell. The temperature compensation fiber bragg grating is coated with a heat insulation coating, in-situ rigid coupling is achieved by injecting liquid resin into a grouting channel, the central wavelength peak value of each grating is obtained through the wavelength division multiplexing technology, the environment temperature variable quantity is extracted based on the temperature compensation fiber bragg grating, and therefore the thermally induced drift distance of the strain grating is deducted, and the compensated strain value is obtained. And inverting and outputting the in-situ three-dimensional mining-induced stress state by mapping the constitutive equation set. According to the invention, synchronous high-fidelity acquisition of multi-physics field parameters is realized, and the intrinsic safety characteristic and the electromagnetic immunocompetence are realized.

The application relates to the technical field of geological information, and discloses a method and system for accurate positioning based on three-dimensional modeling of geology and mineral resources. The method comprises the following steps: deploying a laser ranging, microseismic and fiber grating sensing array, and synchronously collecting multi-source deformation and stress data; after time-space alignment and filtering, a millimeter-level precision three-dimensional point cloud model is reconstructed by using an improved ICP algorithm; a safety factor cloud map is calculated by combining a geomechanics constitutive equation, a risk area is automatically circled according to three-level thresholds; and closed-loop control instructions such as voice alarm, heat map push, grouting coordinates and avoidance path are generated. The system is composed of sensing deployment, data preprocessing, point cloud reconstruction, mechanical analysis, risk delineation, instruction distribution and execution units. The application realizes millimeter-level positioning of goaf deformation, sub-hour-level early warning and full-automatic intervention, the early warning accuracy is higher than 95%, the emergency response is shortened to the minute level, and the mining safety and mining efficiency are improved.

The application discloses a kind of calculation methods for predicting cement-based material dry shrinkage viscoelastic deformation, comprising the following steps: establishing cement-based material structure model;Using Darcy's law, Fick's law and phase change law to describe the moisture transport behavior occurred in the drying process of cement-based material;Based on the basic law of thermodynamics, the constitutive equation of cement-based material in the drying process is established;Establish humidity-mechanical coupling equation, determine the instantaneous elastic deformation of cement-based material dry shrinkage;Based on Boltzmann superposition principle, determine the time-dependent viscous deformation of cement-based material dry shrinkage, obtain the total deformation of cement-based material dry shrinkage;Determine the calculation parameters, predict the dry shrinkage of target cement-based material under specific conditions.The present application solves the problem that the current cement-based material dry shrinkage viscoelastic deformation prediction model is often an empirical model fitted under specific experimental conditions, with low accuracy, no universality and scalability.

This invention relates to an equivalent accelerated testing method for plexiglass based on creep constitutive equations, belonging to the technical field of accelerated testing of polymer structures. Addressing the testing requirements for the creep performance of plexiglass structures, this invention shortens the testing cycle and saves testing costs through the design of testing temperature and pressure. Simultaneously, the reduced testing time indirectly saves manpower and material resources, and also reduces the frequency of random risks such as power outages and equipment failures. Therefore, the testing method of this invention has significant timeliness and economic efficiency, and can effectively improve the accuracy of quantitative analysis, possessing important value for engineering practice.

The invention relates to a method for calculating linear elastic critical stress of axisymmetric buckling of a large-diameter steel casing. The method comprises the following steps: constructing a constitutive equation and a deformation coordination equation of bending deformation of the axisymmetric steel casing; constructing a bending balance equation of the axisymmetric steel casing; a buckling equation of the axisymmetric steel casing is constructed on the basis of the bending theory, and a general solution of the buckling equation is obtained by solving a high-order differential equation; considering the working condition of the upper part of the steel casing, and introducing a mechanical boundary condition of axial uniform loading; and substituting a general solution form containing radial displacement into the boundary condition, giving a numerical solution by adopting a multi-interval dichotomy, and obtaining a critical buckling stress analytical solution of the cylindrical shell. The method has the beneficial effects that the limitation of a classic beam buckling theory and a buckling theory of only considering a cylindrical thin shell is broken through, the calculation precision of the overall buckling characteristics of the semi-buried steel casing can be improved, and meanwhile, the improvement of the buckling resistance of the steel casing by the characteristics of soil is considered.

The invention relates to the field of rock mechanics and mine engineering, and discloses an anchor rod prestress applying simulation method, system and equipment and a storage medium. The method comprises the steps that surrounding rock excavation simulation is conducted on a surrounding rock numerical model, and after the surrounding rock numerical model reaches a balanced state, an anchor rod is activated and anchor rod parameters are input; prestress is applied to the surrounding rock numerical model, the state of the anchor rod is modified through a mixed finite element-discrete element method, and the anchor rod is divided into a shallow section and a deep section which are disconnected; oppositely stretching the shallow section and the deep section according to the pre-tightening force data until the numerical model of the surrounding rock reaches the balance state again; parameters of the anchor rod are modified, the shallow section and the deep section are bonded to obtain a complete anchor rod, and a prestress simulation result is generated through an anchor rod constitutive equation and a surrounding rock constitutive equation. According to the invention, the real process of forming the near-pressure and far-tension prestress in the surrounding rock by oppositely stretching the anchor rod can be reflected, and the interaction process between the pre-stressed anchor rod and the surrounding rock can be accurately captured.

The invention discloses a functionally graded material structure optimization method based on a physical information network and deep regression. The method comprises the steps of 1, building a physical information network, calculating strain and stress through automatic differential, and building physical constraints in combination with a constitutive equation and an equilibrium equation; the deviation between the network prediction and the physical law is quantified through a mean square error to ensure that the prediction result conforms to the mechanics principle; 2, building a deep regression network, and optimizing and training the deep regression network through the mapping relation; an optimal expression is searched through gradient descent, and an analyzable volume fraction function model is finally generated and used for material distribution optimization; and step 3, adopting an alternating iteration strategy, finally outputting an expression of VA (x, y, z), verifying Young modulus distribution accuracy through Voigt homogenization, and realizing automatic optimization design of the functionally graded material. According to the method, the optimal distribution of each component of the functionally graded material structure is automatically obtained by adopting a physical information neural network method, so that the performance of the functionally graded structure is optimized.