29 results about "Solid mechanics" patented technology

The invention discloses a free vibration semi-analytical calculation method for a liquid filling functional gradient pipeline on an elastic foundation, and relates to the technical field of solid mechanics and fluid-solid coupling vibration analysis. The method comprises the following steps: acquiring materials, geometry and boundary parameters of a pipeline, a fluid and a foundation, establishing a fluid-solid coupling model based on a three-dimensional elastic theory, simulating foundation support by adopting a two-parameter Pasternak model, and deducing a control equation and boundary conditions of a pipeline structural domain and a fluid domain; discretizing a pipeline reference surface and a fluid boundary through a two-dimensional high-order spectrum unit, and converting an equation into a standard coordinate system in combination with proportional boundary coordinate transformation; proportional boundary finite element control equations of a structural domain and a fluid domain are deduced respectively and converted into a first-order differential equation set, then a fine integration method and an eigenvalue decomposition method are adopted for solving, and then based on a fluid-solid coupling condition coupling equation, the equation is converted into a generalized eigenvalue problem for solving the inherent frequency and the vibration mode. According to the method, only precision, efficiency and discrete boundaries are considered, and support is provided for pipeline design optimization and safety evaluation.

The present application belongs to the technical field of laser and material interaction, and relates to a kind of optical element laser irradiation damage prediction method, system and terminal.The damage prediction method includes: establishing the three-dimensional geometric model of optical element, defining the material attribute parameter and environmental parameter of optical element, and constructing laser energy deposition function;With laser energy deposition function as laser heat source, a three-dimensional transient model of solid heat transfer and solid mechanics bidirectional coupling is constructed, and the boundary conditions of solid heat transfer and solid mechanics are set;Dynamic damage evolution equation is constructed, the laser irradiation surface of optical element is meshed, the solver is configured based on condition criterion, the current damage variable distribution is obtained by solving, the material attribute parameter is updated based on the current damage variable distribution, the damage variable distribution is continuously calculated after updating, until the preset termination condition is reached, and the damage prediction result is obtained.The present application can comprehensively and accurately predict the complex transient physical process of material under the action of high-repetition-rate short-pulse laser.

The application belongs to but is not limited to the technical field of electronic core industry, and discloses a polycrystalline NCM electrode particle cracking and pulverization prediction method and system, which comprises the following steps: constructing an anisotropic polycrystalline fracture phase field model, including a grain boundary phase field equation, a solid mechanics equation, a Li + diffusion equation and a fracture phase field equation; constructing a two-dimensional geometry of a polycrystalline NCM electrode particle, setting required parameters of physical fields, carrying out grid division and setting initial conditions and boundary conditions; using a finite element simulation software to perform numerical solution, and obtaining cracking and pulverization distribution of the polycrystalline NCM electrode particle. + The application considers bidirectional coupling of Li diffusion and mechanical stress, cracking and pulverization and mechanical stress, and uses grain boundary phase field calculation to correct the critical energy release rate, so that the application can accurately reflect the mechanism of cracking and pulverization of the polycrystalline NCM electrode particle, and improve the accuracy of cracking and pulverization prediction.

This invention proposes a method and system for simulating the vibrational displacement distribution of magnetic particles based on multiphysics coupling, comprising: Step S1: constructing a three-dimensional geometric model containing biological tissue and magnetic particles; Step S2: setting material parameters for each region; Step S3: configuring multiphysics; Step S4: performing mesh generation; Step S5: setting solver parameters; Step S6: using the finite element method to solve the force of the magnetic field on the magnetic particles in Maxwell's equations and describing the magnetic field distribution in the magnetic particle region; Step S7: using the magnetic force obtained in Step S6 as a load, inputting it into the solid mechanics field module, and solving the vibrational displacement distribution in the magnetic particle region based on the wave equation. Furthermore, the system of this invention includes: a three-dimensional geometric model group, a material library, a mesh module, and a multiphysics module. This invention accurately simulates the vibrational displacement distribution of magnetic particles within biological tissue under the action of an alternating magnetic field, revealing the coupling law between magnetic fields and solid mechanics.

The invention discloses a radial point interpolation finite element method for linear elastic solid harmonic response and application, and belongs to the technical field of solid mechanics and engineering numerical simulation. The method comprises the following steps: discretizing a linear elastic solid problem domain into a standard finite element grid, deriving a nodal function through a radial basis function, selecting a local enhanced interpolation basis function to construct a newly added degree of freedom and complete local numerical approximation, and constructing a global interpolation format of a displacement vector field in an element in combination with unit decomposition characteristics; based on the interpolation format and a Galerkin weak form of an elastic dynamic problem, applying a displacement boundary condition to obtain a system forced vibration equation; acquiring steady-state dynamic response and frequency domain response characteristics under different frequency harmonic excitation; according to the method, high-order interpolation can be realized without increasing nodes, the numerical precision is improved, the computing resource and time consumption is reduced and a more reliable numerical solution is provided under the condition that the grid density is relatively small, and the method has important application value in engineering practice.

The application discloses a shield machine main drive sealing performance prediction method and device under actual complex service conditions, and relates to the field of mixed lubrication. The method takes a rotary lip seal as a research object, is based on a two-dimensional axisymmetric finite element model of a shield machine main drive rotary lip seal, and combines solid mechanics, lubricating oil film fluid mechanics, sealing lip surface micro-convex body contact mechanics, sealing lip surface normal and tangential elastic deformation, and thermodynamic analysis to quantitatively analyze data representing sealing performance of the shield machine main drive seal under actual complex service conditions, such as viscous friction and friction torque under different pressure differentials. The application can predict the sealing performance of the shield machine main drive seal under actual complex service conditions.

The invention provides a rock mass chemical corrosion simulation method and system based on neural network near-field dynamics, and relates to the technical field of fractured rock mass chemical corrosion simulation, and the method comprises the steps: building a solid mechanical field model based on a solid field near-field dynamics theory of a Hoek-Brown failure criterion, and building a chemical field model based on a neural network near-field dynamics theory; in a solid field, average principal stress among material points is calculated in real time based on a Hoek-Brown failure criterion, a nonlinear shear tensile failure relation in a stress state is obtained, in a chemical field, a concentration distribution prediction model is incorporated into the chemical field, and in an iteration time step of each solid mechanical field, a nonlinear shear tensile failure relation is obtained. And predicting the concentration distribution of the substance points in real time by adopting a concentration distribution prediction model, calculating a corresponding stress state, updating damage parameters, feeding back the updated damage parameters to the concentration distribution prediction model, and iteratively predicting the concentration distribution of the substance points in the next time step until an iteration termination condition is reached, thereby realizing a stress-corrosion coupling simulation calculation process.

The invention particularly relates to a solid mechanical calculation method and device based on double-grid dynamic weight optimization, and the method comprises the steps: judging whether a solid mechanical calculation demand in a plane plate tension process exists or not; if so, establishing a solid mechanics problem in the surface plate tension process, and establishing a coarse mesh discrete model and a fine mesh discrete model; establishing a first nonlinear mapping relation and a second nonlinear mapping relation based on a preset deep neural network and the two models; and constructing a composite loss function, and based on a preset training strategy, performing staged cooperative training on the composite loss function according to the first nonlinear mapping relationship and the second nonlinear mapping relationship until a preset training round is reached or the trained composite loss function meets a preset precision requirement, and solving according to the trained composite loss function to obtain a solution of a solid mechanics problem displacement field. Therefore, the problem that the convergence speed of a fine mesh model is low in the prior art is solved, and the training efficiency is improved.

A method for measuring high-strain-rate dynamic hardness of a material surface based on AFM knocking belongs to the technical field of solid mechanical property testing and high-speed machining, and comprises the following steps: S1, enabling a material to generate plastic deformation at a high strain rate by an AFM probe; s2, accurately measuring an applied load and a material deformation amount; and S3, performing post-processing analysis to calculate the dynamic hardness of the material. Compared with an existing method for testing the mechanical property of the material under the high strain rate, the method has the advantages that the strain rate of plastic deformation is increased on the basis of ensuring nanoscale deformation of the material, and the dynamic mechanical property response condition of the surface of the material is accurately measured. Therefore, the test method provided by the invention promotes the development of the high-strain-rate mechanical property of the surface of the test material under the nanoscale.

The invention provides a material deformation behavior high-robustness prediction method and system based on a bionic intelligent constitutive structure, and belongs to the technical field of solid mechanics and computational intelligence cross, and the method comprises the steps: obtaining a multi-modal data sample under multiple materials and multiple scenes; the method comprises the following steps: constructing an initial BP neural network constitutive model, taking a multi-modal data sample as input, taking stress as output, simulating a stem cell hierarchical differentiation mechanism by using a bionic hierarchical architecture to obtain an optimized genetic algorithm, optimizing an initial weight and an initial threshold of the initial BP neural network constitutive model by using the optimized genetic algorithm to obtain a transition weight and a transition threshold, and constructing the stem cell hierarchical differentiation mechanism based on the transition weight and the transition threshold. Optimizing the transition weight and the transition threshold through a gradient descent algorithm to obtain an improved BP neural network constitutive model; and predicting the deformation behavior of the to-be-predicted material based on the improved BP neural network constitutive model. According to the method, the deformation behaviors of multiple materials in multiple scenes can be quickly and accurately predicted.

The application discloses a kind of deep shale reservoirs anti-channeling fracturing optimization method, system and medium, belong to shale oil and gas geological exploitation technical field;Including the following steps: obtaining the different scale fracture characteristics and ground stress distribution law of deep shale reservoir;Different scale fracture mechanics parameters and percolation parameter characteristics of rock sample are obtained;By using damage mechanics theory to construct deep shale reservoir multi-physical field coupling fracturing model of matrix characteristics of deep shale reservoir;Based on deep shale reservoir and different scale fracture characteristics, according to solid mechanics, porous medium and Darcy's law, the parameter is set, and the platform pressure numerical model is established;Based on platform pressure numerical model, the optimal fracturing chart affected by multi-scale fracture development is obtained by orthogonal experiment simulation, to determine the maximum effective fracturing volume and avoid interwell channeling of fracturing parameter combination;The application proposes a kind of deep shale reservoir anti-channeling fracturing optimization method, effectively ensures the efficient development of deep shale oil and gas.

This disclosure provides a method and apparatus for iterative coupled hybrid experiments on fluid-structure interaction boundaries, applicable to fluid mechanics, solid mechanics, numerical simulation, and engineering fields. The experimental method includes: decomposing an initial fluid-structure interaction structure into multiple substructures, including physical and numerical substructures; determining the influencing factors of the experimental convergence index based on the response error between the physical and numerical substructures, where the response error characterizes the error between the input response information of the physical substructure and the output response information of the numerical substructure, and the influencing factors include the iterative algorithm and the substructures; updating the input response information, output response information, and substructures based on an algorithm optimization strategy and parameter update strategy using the iterative algorithm when the response error does not meet a preset error threshold, thereby obtaining the target structure; and determining the hydrodynamic pressure time history and target motion results based on the target numerical substructure, the target physical substructure, and the preset response flow.

The invention discloses an acoustic modeling method based on a Voronoi layered double-phase microstructure, which comprises the following steps: generating a Voronoi crystal grain structure according to the average crystal grain size of a polycrystalline metal material; the method comprises the following steps: constructing a layered double-phase microstructure geometric model by setting interlayer spacing and an area proportion coefficient; different elastic matrixes are given to the grain matrix and the layered second-phase microstructure through a Bond transformation method; according to the elastic matrix, a solid mechanics physical field, an ultrasonic excitation source and boundary conditions are set through joint simulation software, grid division is conducted, and an acoustic simulation model used for simulating ultrasonic propagation is established; and according to the acoustic simulation model, setting a solver for calculation so as to obtain and output the propagation characteristics of the ultrasonic waves in the layered double-phase microstructure. The method disclosed by the invention is of great significance to research on the propagation rule of the ultrasonic waves in the polycrystalline metal material with the layered double-phase microstructure.

The invention discloses a radial point interpolation finite element application and method for linear elastic solid time domain transient response, and belongs to the technical field of solid mechanics and engineering numerical simulation. Discretizing a problem domain into a standard finite element grid, and constructing an interpolation format of a displacement vector field in an element by using a radial basis function to obtain a shape function corresponding to a node; constructing a new node degree of freedom at the node; constructing and obtaining a global interpolation format of a displacement vector field on the premise of meeting unit decomposition characteristics; finally obtaining a motion equation of the system by combining a Galerkin weak form of an elastodynamics problem and introducing a displacement boundary condition, calculating a time domain transient response of the system under external load excitation by adopting a Newmark time integration method, and obtaining a dynamic response of the system changing along with time under the load effect; according to the method, high-order interpolation is realized under the condition that unit nodes are not increased, and numerical calculation errors can be reduced.

The invention discloses a design method of a local strengthening structure of a rectangular winding, a rectangular winding assembly and an effectiveness verification method of the local strengthening structure. The design method for the local strengthening structure of the rectangular winding comprises the following steps: acquiring mechanical response of the rectangular winding under a short-circuit working condition through a magnetic field-solid mechanical field coupling simulation model; based on the mechanical response, obtaining stress distribution characteristics of the rectangular winding at the corners and on the long sides; according to the stress distribution characteristics of the corner, determining structural parameters of a corner target strengthening structure for fitting the corner; and according to the stress distribution characteristics of the long sides, determining the structural parameters of the long side targeting strengthening structure for fitting the long sides. According to the invention, accurate identification and targeted reinforcement of the high-stress area of the rectangular winding under the short-circuit working condition can be realized.

The invention provides a finite element method for calculating a longitudinal modal guided wave frequency dispersion curve of a liquid-filled pipeline, belongs to the technical field of nondestructive testing, and aims to solve the problems that in an existing guided wave frequency dispersion curve solving method, solving is only carried out on a simple model with the periphery of the pipeline being vacuum but not having other media; the method comprises the steps that finite element software is used for establishing a geometric model of the three-dimensional axisymmetric liquid-filled pipeline, and the geometric model of the three-dimensional axisymmetric liquid-filled pipeline is used for solving the complex solid mechanics-fluid coupling model of the liquid-filled pipeline with a liquid medium; calculating a displacement vector generated in the liquid and the elastic wall when the guided wave propagates along the z axis of the pipeline; calculating a characteristic equation of the sound wave in the elastic pipeline and the viscous liquid under the condition of no volume force; theoretically simulating an infinitely long waveguide of the pipeline; obtaining a relationship between the index factor and the wave number; and calculating the phase velocity and group velocity of the guided wave based on the exponential factor and the wavenumber, and obtaining a frequency dispersion curve of the longitudinal mode of the liquid-filled pipeline.

The invention discloses a shale rough fracture and irregular pore fractal model construction method under multi-field coupling, and the method comprises the following steps: S1, constructing a fractal theoretical model based on a rough fracture system; s2, constructing a fractal theoretical model based on a pore system; S3, constructing a solid mechanical control equation; and S5, determining the flow mechanism of shale methane gas between fractures and pores. According to the method, a fractal flow model coupling gas migration, shale deformation and fracture-matrix interaction is established so as to realize quantitative analysis of a shale gas seepage mechanism, and four fractal parameters including tortuosity, roughness, fracture number and fracture length are introduced and evaluated so as to quantify the influence of the fractal parameters on permeability and gas pressure. Through numerical simulation, the interaction between a fracture network and a pore structure under different structure parameters is quantified, and the change rule of the pore fractal dimension and the gas pressure caused by the interaction is emphatically revealed.

The invention belongs to the technical field of material structure strength analysis, and relates to a casing rubber screw mixed connection strength simulation analysis method based on circumferential connection, which comprises the following steps: establishing a three-dimensional model of a casing according to a lightweight design casing, and performing grid division; the method comprises the following steps: acquiring basic mechanical properties of a material through a test, establishing attributes of each material under global definition, and respectively endowing corresponding parts in a solid mechanical physical field; a penalty function is adopted to set contact pairs according to the actual connection modes of all the parts of the cartridge receiver, and the contact pairs comprise adhesive contact pairs and bolt contact pairs; setting a load and a fixed constraint state in the solid mechanics physical field according to the actual working condition of the cartridge receiver; calculating and solving through a steady-state solver, and obtaining a stress, strain and deformation distribution cloud chart generated on the case after bearing from a calculation result; the strain error between the strain generated at the measurement position obtained by the method and the strain pasted at the same position in the test is within 15%.

The invention relates to the technical field of material science and solid mechanics, and discloses a method and system for representing densification of an amorphous material under mechanical deformation, and the method comprises the following steps: applying a mechanical load to the amorphous material to initiate local plastic deformation of the amorphous material; milling the deformed region of the amorphous material by adopting a focused ion beam technology to prepare a cross-section sample, and then obtaining the microstructure change of the cross-section sample through a transmission electron microscope to confirm the densified region of the cross-section sample; the degree of densification of the cross-sectional sample is detected and quantified by analyzing an electron diffraction pattern. According to the embodiment of the invention, the key challenge of accurately quantifying the local structure change (the most significant is permanent volume compression (densification)) in the amorphous material under the action of various contact-induced mechanical loads is solved.

The invention relates to the technical field of calculation of solid mechanics, in particular to a finite element consistent tangent stiffness solving method based on physical gating deep learning, and aims to solve the problem of low calculation efficiency of a consistent elastic-plastic tangent stiffness matrix in a traditional finite element method. According to the improved scheme, the physical state of a Gaussian point is judged, a deep learning model is called only in a plastic state to predict a plastic multiplier increment, and then a stress and consistent tangent stiffness matrix is rapidly analyzed. According to the method, complex iterative calculation required by each plastic Gaussian point in a traditional return mapping method is converted into one-time efficient forward neural network reasoning and rapid analysis back substitution, so that the calculation overhead of a single material point is reduced fundamentally; therefore, the forming time of the total stiffness matrix is remarkably shortened in large-scale nonlinear finite element analysis, and the order of magnitude of calculation efficiency is improved.

The invention relates to the technical field of test solid mechanics, in particular to a real-time in-situ microscopic monitoring method, system and device for microscopic damage of a composite material. The device comprises an imaging unit for monitoring a preset observation point on a sample in real time; the multi-dimensional adjusting unit is used for being connected with the imaging unit and adjusting the displacement of the imaging unit; the multi-dimensional adjusting unit comprises a guide rail parallel to the expected displacement direction of the observation point; the object placing platform is in sliding connection with the guide rail and used for bearing the imaging unit; the storage platform is connected with the motion controller, and the motion controller adjusts the displacement speed of the imaging unit according to the real-time displacement speed; the real-time displacement speed is calculated through a preset speed formula according to the clamp movement speed received in real time and the first distance, so that the imaging unit is adjusted in real time along with the movement of the to-be-observed point, and the microstructure change of the composite material sample is monitored in real time.

The application provides a rock mass high-temperature deformation simulation method and system based on deep learning near-field dynamics, relates to the field of rock mass thermal-mechanical coupling analysis and research, and comprises the following steps: obtaining parameter information of a target rock mass to be simulated, including the geometric shape of the rock mass and the physical properties of the rock mass; according to the parameter information, the target rock mass is discretized into a plurality of material points, and a thermal-mechanical coupling model of the target rock mass is constructed; based on the initialized thermal-mechanical coupling model, time step iteration simulation of the solid mechanics field is performed, and finally the crack propagation process and temperature distribution of the target rock mass are obtained; by introducing the solid field near-field dynamics theory based on strain energy density, combining the fluid field near-field dynamics equation, predicting the temperature distribution in the rock medium through the physical information neural network, and forming the deep learning near-field dynamics framework of rock mass high-temperature deformation and failure, the rock mass high-temperature deformation can be simulated efficiently and accurately.

The invention relates to the technical field of corrosion simulation of building and civil engineering materials, and provides a method and system for simulating a corrosion phase field between a steel structure and concrete.The method comprises the steps that a steel structure-concrete combination geometric model is constructed and comprises a concrete area, a steel structure area and an interface transition area; defining material parameters, corrosion related parameters and multi-phase field parameters; establishing a multi-physics field coupling free energy functional and a multi-physics field coupling control equation; setting boundary conditions and initial conditions of the geometric model based on the multi-phase-field parameters; grid division is conducted on the interface transition area, the steel structure area and the concrete area; and coupling a phase field, dilute material transfer and a physical field of solid mechanics, inputting the multi-physical field coupling control equation through a user-defined equation module, and solving a corrosion result between the steel structure and the concrete by adopting a time correlation solver. The phase field theory is combined with ion transmission, electrochemical corrosion and interface stress, and the limitation of traditional single physical field simulation is solved.

The application discloses a diaphragm compressor system gas-liquid-solid coupling dynamics simulation system, comprising a parameter input and model construction module, a gas dynamics simulation module, a hydraulic oil dynamics simulation module, a solid mechanics simulation module, a two-way coupling data exchange and control module, a unified solver module and a result extraction and post-processing module. The application realizes full-cycle, two-way coupling simulation of the dynamic interaction of the internal complex multi-physical field of the diaphragm compressor by constructing a high-fidelity combined simulation platform integrating gas dynamics, hydraulic oil dynamics and solid mechanics; the system can accurately reproduce the real-time energy and force transmission among the gas, oil and solid components during the working process, so that the problems which are difficult to accurately evaluate by traditional methods can be virtually revealed.

This invention belongs to the field of multi-field coupling analysis in solid mechanics, and discloses a meshless method and system for multi-field coupling analysis of cracked piezoelectric ceramic plates. The method includes the following steps: establishing a solid model of the cracked piezoelectric ceramic plate based on the crack location; determining the material properties of the piezoelectric ceramic; determining the governing equations of the piezoelectric ceramic plate; transforming and discretizing the governing coupling equations using near-field dynamic differential operator theory to establish a numerical model of the cracked piezoelectric ceramic plate; applying boundary conditions to the numerical model of the cracked piezoelectric ceramic plate to obtain the displacement and potential solutions; and obtaining the stress and electric displacement solutions of the piezoelectric ceramic plate based on the displacement and potential solutions and constitutive relations. This invention can predict the physical field distribution and crack tip singularities of cracked piezoelectric ceramic electronic components, providing a basis for damage assessment and structural optimization design of piezoelectric devices.

The invention discloses a linear elastic solid free vibration radial point interpolation finite element method and application, and belongs to the technical field of solid mechanics and engineering numerical simulation. Discretizing a problem domain into a standard finite element grid, and deriving a nodal function based on a radial basis function; constructing a local strengthening interpolation primary function to finish local numerical value approximation; establishing a displacement vector field global interpolation format on the premise of satisfying unit decomposition characteristics; obtaining a free vibration equation in combination with a Galerkin weak form and a displacement boundary condition; the inherent frequency and the vibration mode are obtained through MATLAB solving, and analysis is completed by comparing results of different methods; according to the method, high-order interpolation can be realized without adding unit nodes, the multi-order inherent frequency and vibration mode can still be accurately solved under low grid density, the calculation precision and efficiency are remarkably improved, the resource consumption is reduced, the method is adaptive to vibration safety design and optimization of a complex structure, and the method has important engineering application value.

The application discloses a multi-physical field coupling-based multi-section thermionic energy converter design method, which comprises the following steps: (1) starting a multi-physical field coupling software, selecting a two-dimensional axisymmetric component about a multi-section thermionic energy converter geometric structure in the software, and adding a solid heat transfer module, a solid mechanics module, a surface-to-surface radiation module and a current module of the software into the component; (2) establishing a geometric model according to the geometric structure of the multi-section thermionic energy converter, and adding corresponding physical property parameters according to different materials in the geometric structure; (3) setting initial conditions and boundary conditions for the several modules respectively; (4) dividing a grid for the geometric model; (5) selecting a steady-state solver in the software to perform calculation, and performing optimization calculation on the reversing connector geometric structure in the multi-section thermionic fuel element, the length and position of the emitter and the receiver and the inter-electrode gap width through an optimization module in the software, so that the optimal thermoelectric conversion efficiency is obtained.

This invention discloses a CT scan-based early warning method for casing deformation and damage in oil and gas wells, comprising the following steps: establishing a full-diameter heterogeneous three-dimensional micro / nano core model; constructing a full-diameter finite element solid mechanics structure three-dimensional digital model of the core including the wellbore; constructing a core fluid mechanics three-dimensional digital model including the wellbore; establishing a solid-liquid coupled multi-element three-dimensional digital finite element mechanical structure model of the core finite element solid mechanics structure and the core fluid mechanics three-dimensional digital model; establishing a casing deformation and damage mechanism model under different stress conditions; establishing an artificial intelligence early warning method for casing deformation and damage in oil and gas wells, predicting the occurrence mechanism of casing deformation and damage in oil and gas wells, obtaining the status of casing deformation and damage at each stage of oil and gas well development, predicting the occurrence period of casing deformation and damage during oil and gas well development, and providing early warning information. This improves the technical implementation level and efficiency of oil and gas deep development, and reduces oil and gas development costs.

The application discloses a solid material plastic deformation prediction method and device, equipment and medium, and relates to the technical field of solid mechanics, and comprises the following steps: acquiring first configuration data corresponding to a solid material to be analyzed, and performing energy minimization processing on the first configuration data to obtain corresponding second configuration data; constructing a preset dynamic matrix corresponding to each atom in the second configuration data, and determining a target equivalent stiffness parameter of each atom based on the preset dynamic matrix; performing coarse-grained processing on the target equivalent stiffness parameter of each atom to construct a corresponding target equivalent stiffness field; the target equivalent stiffness field is used for characterizing the relative stiffness distribution of each spatial position inside the solid material; and based on the target equivalent stiffness field, a target defect area in the solid material is identified, and plastic deformation prediction is performed based on the target defect area. As can be seen from the above, the application can realize general, efficient and accurate solid material plastic deformation prediction of multi-structure materials.