201 results about "Constitutive equation" patented technology

The invention discloses a method for testing mechanical properties of a carbon fiber reinforced composite material based on image recognition, and relates to the technical field of material tests.The method comprises the steps that a carbon fiber sample of a fiber laying layer is prepared, the width tolerance is controlled through laser cutting, and speckle patterns are sprayed on the surface; training a U-Net + + neural network based on the collected macro / micro image, and analyzing the dynamic change of the fiber angle in real time; fusing the acquired macro / micro image with the dynamic change of the fiber angle, and constructing a constitutive equation of dynamic fiber orientation distribution; and importing the constitutive equation into a finite element model, iteratively optimizing the fiber-matrix interface strength parameters through inversion calculation, performing blind test verification on the sample by using the optimized finite element model, and outputting a cross-scale correlation test report. According to the method, an interface strength parameter is subjected to inversion iteration optimization through a finite element model, a macro-micro strain field, a fiber slip angle and an interface damage parameter are integrated through a cross-scale correlation test report, and full-chain data support is provided for a composite material structure.

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 a dynamic grid-based foundation pit temperature field-seepage-stress field coupling calculation method, which comprises the following steps of: establishing a nonlinear dynamic bidirectional coupling constitutive relationship of a temperature field, a seepage field and a stress field containing a two-dimensional foundation pit cofferdam, and obtaining a three-field full coupling equation set; in combination with a GPU acceleration solver, solving the three-field full-coupling equation set by adopting a sub-domain decoupling-asynchronous iteration strategy; and performing real-time early warning on the cofferdam construction period according to a solving result. The method has the advantages that compared with a traditional linear model, the precision of the established three-field full-coupling equation set is improved, and the interaction influence relation of three fields can be well simulated.

The invention belongs to the technical field of geotechnical engineering and artificial intelligence crossing, and particularly discloses a multi-modal physical constraint deep learning slope parameter inversion method, which comprises the steps of constructing a space-time correlation feature matrix according to multi-modal data of a slope; determining a physical loss function according to the static balance residual error, the constitutive equation residual error and the seepage equation residual error of the slope soil body; constructing a target function according to the physical loss function, and determining a deep learning model based on the target function; and inputting the space-time correlation characteristic matrix into a deep learning model, performing deep learning model optimization, establishing a mapping relationship between the space-time correlation characteristic matrix and the slope parameters included in the physical loss function, and obtaining inversion values of the slope parameters. According to the method, physical constraints are integrated into the deep learning model, the problems of spatio-temporal information splitting and physical mechanism deficiency of a traditional method are solved, it is ensured that the inversion result conforms to the physical law of slope deformation, and the precision of the obtained slope parameter inversion value is greatly improved.

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 invention relates to the field of petrochemical material physical property calculation, in particular to a physical information constrained petrochemical material hybrid modeling physical property calculation system and method, and the system comprises a data processing module which achieves the standardized cleaning and fusion of multi-source heterogeneous data; the multi-scale characteristic module realizes material characteristic characterization through quantum-mesoscopic-macroscopic cross-scale modeling; the physical constraint module is embedded into a thermodynamic constitutive equation and a phase equilibrium criterion to ensure the self-consistency of the model; the component interaction module constructs a non-ideal mixing effect prediction model based on a deep potential energy field theory, and establishes a component interaction knowledge graph; the uncertainty quantification module adopts a Bayesian deep learning method to assess and predict a confidence interval, a system integrates a physical mechanism and a data driving method, physical property prediction errors are reduced by 15%-20%, meanwhile, a molecular structure-physical property associated visual analysis tool is provided, process optimization and new product development decision are supported, and the reliability of the system is improved. And the core requirements of the petrochemical industry on high-precision and interpretable physical property prediction are met.

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 nickel-based high-temperature alloy cutting microstructure prediction method based on a dislocation gradient model, and aims to realize optimization of process parameters through multi-scale modeling. The method comprises the following steps: firstly, calculating dislocation mobility under different temperature and pressure conditions by utilizing molecular dynamics simulation; and a dislocation generation and annihilation rate model is established in combination with a dislocation dynamics theory, so that a dynamic relationship between cutting strain and dislocation evolution is disclosed. And further through data fitting, a constitutive equation between the dislocation density and the material hardening behavior is constructed, and the evolution law of the dislocation cell structure is described emphatically. On an ABAQUS platform, a two-dimensional cutting model containing a thermal coupling effect is established, a dislocation density constitutive equation is embedded into a user-defined material module, and closed-loop correlation of macroscopic cutting parameters and microstructure evolution is achieved. According to the method, the dislocation density is creatively used as a cross-scale bridge, the understanding of a dynamic recrystallization and dislocation motion coupling mechanism in the cutting process is deepened, a prediction model is provided for technological parameter optimization, and the method has important engineering guiding significance for improving the integrity of the machined surface of the high-temperature alloy part.

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 discloses a metal thin-wall component additive and subtractive composite manufacturing stress and deformation prediction method and system, and the method comprises the steps: carrying out the three-dimensional modeling of a component sample and a machining tool, importing a model into finite element software, and completing the assembly of the component sample and the tool; establishing a thermal elastic-plastic constitutive equation in the material increasing process in finite element software, and setting material attributes of the component sample; finite element software is used for setting a life-death unit to simulate the material forming behavior in the actual laser cladding process; setting a moving path of the heat source between different cladding layers; calculating an additive temperature field and converting the additive temperature field into a structural unit; a geometric matrix for converting unit node displacement into node strain is obtained, and an additive stress field is obtained; additive simulation stress data are extracted and loaded; a constitutive equation is used for defining material constitutive attributes, and the number of steps and machining time of milling machining analysis are set; and setting a material failure criterion, and calculating the stress distribution and deformation of the sample by using a solver. The testing precision of the residual stress of the metal thin-wall component is improved.

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 die forming, in particular to a variable-temperature deep drawing-rapid air expansion composite forming method for a thick titanium alloy plate. The method comprises the steps that a model of a stamping die of the end socket is established, and the thickness of a to-be-stamped plate is set; limiting conditions in the stamping process are set, and a variable-temperature deep drawing model is obtained; establishing a Backoften constitutive equation, and determining strain rate sensitive indexes and strength coefficients at different temperatures according to the material strength at different temperatures; performing a finite element simulation process according to the strain rate sensitive index and the strength coefficient to obtain a superplastic inflatable model; according to the variable-temperature drawing model and the superplastic air expansion model, a variable-temperature drawing-rapid air expansion model is established; representing the simulation performance of the variable-temperature drawing-rapid air expansion model, and analyzing a drawing result and an air expansion result; and determining a test reference according to an analysis result, and carrying out a variable-temperature drawing-rapid inflation composite forming test. According to the scheme, excessive attempts of experiments can be reduced.

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 method for evaluating and predicting the internal erosion resuspension amount of submarine sediments under the action of waves, which is based on a mass conservation equation, an erosion constitutive equation and a seepage continuity equation of sediment particles and considers the influence of accumulation of seabed pore water pressure on the internal erosion process of the sediments under the action of the waves. Meanwhile, the influence of seabed soil physical property change caused by internal erosion on the seabed accumulated pore water pressure development process is considered, a seabed accumulated response-internal erosion coupling mathematical model under the wave action is constructed, and a finite element method is used for solving; and the development change of the accumulated pore water pressure, the porosity, the suspended fine particle volume concentration and the eroded fine particle mass of the seabed is obtained. According to the method, the mass of fine particles in the seabed sediment moving outwards along with seepage under the action of waves and the spatio-temporal evolution characteristics and rules of the erosion process in the sediment are quantitatively evaluated, and therefore quantitative prediction analysis can be conducted on the seabed stability and the erosion resuspension characteristics in the seabed sediment.

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 provides a coal seam roof and floor damage depth monitoring method based on multi-modal AI fusion, and relates to the technical field of coal mine safety monitoring. Inputting the multi-modal parameters and geological parameters of the coal mine area into an AI model to obtain a roof damage depth, a floor damage depth and confidence of the roof damage depth and the floor damage depth of the coal mine area, and calculating correction coefficients of the roof damage depth and the floor damage depth; based on the top plate damage depth, the bottom plate damage depth, the correction coefficient of the top plate damage depth, the correction coefficient of the bottom plate damage depth and the geological parameters, the damage risk index of the coal mine area is calculated, and the damage risk level of the coal mine area is determined; multi-modal parameters are used for mutual verification to improve the monitoring precision, the top plate damage depth and the bottom plate damage depth meeting the rock mass damage constitutive equation are obtained by combining geological parameters and AI model recognition, the damage risk index is calculated through the correction coefficient to determine the damage risk level of the coal mine area, and the monitoring precision is further improved.

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 invention discloses a rub-impact dynamics simulation method for complex curved and swept blades of an engine, which relates to the technical field of engines and comprises the following steps of: 1, performing discretization operation on an actual blade by using an entity unit to obtain a dynamics matrix of the blade, constructing a blade reduction dynamic matrix in a variable rotating speed range in a mode of combining a fixed interface modal synthesis method and dynamic matrix fitting; 2, according to the relation between the blade-casing relative position and the three-dimensional motion, establishing an intrusion amount expression of the blade tip molded surface of the blade based on a multi-coordinate system; step 3, in combination with a displacement and load equivalence idea, deducing a rub-impact surface load by using a distribution gap, and establishing a kinetic equation of blade-casing rub-impact on the basis of the finite element model; and 4, solving the rub-impact response of the blade by using a Newmark method, and calculating the rub-impact stress of the blade through the physical equation and the geometric equation of the constitutive relationship.

The present invention discloses a prediction method for irreversible deformation of salt rock creep fatigue under complex loading and unloading paths, which includes establishing a constitutive equation describing the deceleration stage and the steady state stage of salt rock fatigue creep: establishing a constitutive equation for predicting the accelerated deformation stage of salt rock: predicting the three stages of salt rock fatigue creep behavior through the established constitutive equation. The present invention can accurately describe and predict the irreversible deformation of salt rock creep fatigue under complex loading and unloading paths, especially the third stage, i.e., the accelerated deformation stage before critical failure, and can obtain more practical results for practical engineering applications such as the long-term stability evaluation and life assessment of salt cavern gas storage.

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.