18 results about "Computational mechanics" patented technology

This invention belongs to the field of multi-scale computational mechanics technology for composite materials, and discloses a method and system for generating random fiber distribution RVEs considering random porosity in three-dimensional space. Existing methods do not incorporate the physical mechanism of porosity formation into the control logic of porosity distribution. The fiber random distribution RVE generation method and system proposed in this invention first plans the RVE model parameters; then, in a two-dimensional sketch, a fiber distribution satisfying periodic boundary conditions is generated through mesh layout and random perturbation algorithm; next, the density labels of the fibers are obtained through an improved density peak clustering algorithm, and the pore size is adaptively adjusted accordingly; subsequently, pores are randomly generated in three-dimensional space by spline curve rotation, ensuring periodic distribution; finally, the final RVE model is obtained through Boolean operations. This invention achieves a pore spatial distribution that conforms to actual physical laws, and can effectively generate fiber random distribution RVEs with controllable porosity, providing a method for parameterized modeling of microstructures in FRC calculations.

This invention relates to the fields of computational mechanics and rock engineering, and particularly to a numerical simulation method for end-anchored rock mass engineering based on DDDA (Digital Directed Amplification and Analysis). The method includes: constructing a circular element discontinuous deformation analysis numerical model according to actual engineering conditions; performing discontinuous deformation analysis numerical calculations; analyzing the calculation results of the unanchored model to preliminarily determine the anchoring scheme; performing discontinuous deformation analysis numerical calculations again; determining whether the model contains unstable blocks, adjusting the anchoring scheme, and repeating the aforementioned steps until the model stabilizes, thus completing the design of the rock mass engineering anchoring scheme. This invention establishes a numerical simulation method capable of accurately simulating the interaction between anchor bolts (anchor cables) and rock mass, and integrating anchoring scheme design, stability assessment, and dynamic parameter optimization functions. It achieves accurate prediction of the deformation and failure behavior of anchored rock mass and optimizes anchoring design, featuring high simulation accuracy and strong practicality.

This invention belongs to the fields of geotechnical engineering and computational mechanics, and provides a finite element-peripheral dynamic coupling method and system for anchoring effects in underground engineering. The finite element-peripheral dynamic coupling method for anchoring effects in underground engineering includes: establishing a numerical model of the fractured surrounding rock in underground engineering based on periphery dynamics theory; constructing a corresponding anchor finite element model; for each anchor finite element model beam node, combining the numerical model of the fractured surrounding rock in underground engineering, establishing the coupling relationship between the beam node and the surrounding periphery dynamic material points; defining an interface key for each pair of beam nodes and their coupled periphery dynamic material points, and determining the mechanical behavior of the interface key; at each computation time step, performing force transfer and solving between the numerical model of the fractured surrounding rock in underground engineering and the anchor finite element model, updating the coupling relationship between the beam nodes and their coupled periphery dynamic material points, which can accurately simulate the anchoring effect in underground engineering.

The application discloses a simulation analysis method for an aircraft landing gear tire under heavy landing impact load, and relates to the technical field of aeronautical engineering and computational mechanics. First, in the tread and sidewall rubber area, the micro-heterogeneity of the rubber material in the tire is equivalent to the super-elastic mechanical behavior of the macro-continuous medium based on the homogenization theory. This process avoids the extremely dense mesh and complex constitutive relationship required for depicting the micro-features such as filler distribution and interface effect in the traditional model. Then, the rebar element representing force transmission under impact load is created in the pre-constructed rubber matrix grid, and the rebar element is coupled with the rubber matrix. The simplified coupled model can accurately capture the anisotropic stiffness, main force transmission path and reinforcement effect of the cord-rubber composite structure, so as to finally stably and accurately simulate the transient impact process of the tire under heavy landing impact load, which includes the triple nonlinearity of geometry, material and contact.

The application belongs to the field of computational mechanics, and discloses a scale order reduction near-field finite element calculation acceleration method and implementation method for structure fracture analysis.The acceleration method comprises the following steps: firstly, geometric modeling is performed on a target structure; secondly, the split finite element is recorded as a fine scale element and constitutes a fine scale grid; thirdly, based on a spatial neighborhood relationship, the fine scale element is collected into a coarse scale element and constitutes a coarse scale grid; fourthly, an equivalent shape function of the coarse scale element is obtained; fifthly, the overall stiffness matrix and the load vector of the coarse scale grid are calculated; sixthly, the overall node displacement of the coarse scale and fine scale grid is solved; seventhly, it is judged whether the current loading step or time step reaches the maximum loading step or time step; if yes, the displacement nephogram and equivalent damage nephogram of the target structure are output; if not, the key state of all fine scale near-field elements is updated; and finally, the implementation method is that the acceleration method is taken as a core calculation module to be implemented in different scenes.The application significantly improves the calculation efficiency of near-field dynamics in large-scale simulation analysis.

This invention relates to the fields of computational mechanics and computer-aided engineering, specifically a mathematical model capable of predicting the forming shape of spherical bearings. The model takes the blank's geometric dimensions, mold parameters, and material elastic modulus as input. Based on the precise geometric relationships of the compression process, it establishes a system of equations, deriving the core relationship between the compression amount and the theoretical mean diameter, and solving for the theoretical shape without considering springback. By introducing the theory of compression-bending springback, it establishes springback geometric constraints and expressions for reverse stress. Based on the static equilibrium conditions under pure bending, it derives the explicit relationship between the radius after springback and the radius before springback, elastically correcting the theoretical shape to obtain a predicted shape closer to the actual forming result. The model's output can be compared and verified with finite element simulations and actual experimental data, exhibiting high prediction accuracy in the stable deformation stage with large compression amounts. This invention provides effective guidance for process parameter design and optimization, reducing the number of experiments and development cycles.

The application discloses a reinforced concrete structure damage process simulation method based on an SPH method, belongs to the technical field of computational mechanics and structure engineering simulation, and comprises the following steps: firstly, removing the damage softening component from the total deformation gradient to obtain an effective physical state and a deformation gradient without interference; secondly, determining a plurality of mechanism criteria of tensile cracking, shear slip and compression plasticity exhaustion, and obtaining a comprehensive damage index through maximum value enveloping; mapping the damage index into a softening factor through a nonlinear square term, correcting the deformation gradient and dynamically adjusting the particle action strength; finally, performing stress gradual attenuation on critical damage particles, and removing the particles after meeting the step number condition. The application can consider the calculation efficiency and the macroscopic mechanical property under a single constitutive framework, accurately restores the material damage softening and the fracture process, effectively avoids numerical oscillation, and improves the precision and stability of the structure damage simulation.

The present application relates to the field of digital design and computational mechanics topology optimization of power engineering foundation, specifically to a concrete pole connection mechanical optimization analysis and design system, comprising: a micro image acquisition module: constructing microstructure image dataset; a heterogeneous space mapping module: constructing anisotropic permeability tensor field, thereby mapping the mechanical transmission path of solid materials to a digitally defined virtual fluid permeation field; a parallel flow field solving module: calculating to obtain a stress flux distribution thermodynamic map representing stress transmission strength; a topology inversion optimization module: reconstructing the geometric reinforcement parameters and material distribution of the connector based on the identification results; a design verification closed loop module: triggering a new round of simulation calculation until the preset convergence condition is met, outputting the final optimized design drawing; the present application solves the contradiction between microstructure complexity and engineering design timeliness, supports rapid verification and multiple optimization of design schemes.

This invention discloses a method for constructing a constitutive model of interface bond-slip in salt-eroded masonry structures of ancient pagodas, belonging to the fields of interface deterioration prediction methods and computational mechanics for immovable cultural relics. This method involves conducting interface bond-slip tests on un-salted masonry, salt aging tests with different cycles, mortar compressive strength tests, and interface double-sided shear tests. Key parameters such as normal stress, mortar strength, and the number of salt erosion cycles are introduced to establish calculation models for interface bond strength and corresponding slip, respectively. These models are then fitted to obtain a coupled constitutive model of interface bond-slip in salt-eroded masonry. This invention considers the impact of salt erosion damage on the mechanical properties of the masonry interface, and the calculation results have small errors compared to experimental values, providing accurate mechanical parameter basis for the structural stability assessment of ancient pagodas and other historical masonry buildings.

The application discloses a kind of based on enhancing geometric semantic GNN's stop block stress field prediction method, this method belongs to the intersection field of computational mechanics and artificial intelligence.The method is aimed at the hatch stop block with hole, curved surface, contact boundary and other significant geometric characteristics, first, construct the geometric semantic graph that fuses node coordinates, principal curvature, normal vector, boundary identifier and hole distance;Further, design the graph neural network of Encoder-Processor-Decoder architecture, wherein the Feature-wise Linear Modulation (FiLM) mechanism is introduced in the Processor module, and the load-driven feature linear modulation (FiLM) mechanism is introduced in the Processor module, to realize the message passing of load-geometry cooperation;Through end-to-end training, the model can output high-precision stress field in milliseconds to seconds.It is suitable for intelligent health monitoring and digital twin system of key components in the fields of aviation, automobile and the like.

The application belongs to the technical field of the cross of artificial intelligence and computational mechanics, and particularly relates to a method and system for evaluating and optimizing parameters of immersed tube foundation trench excavation based on differentiable simulation, which comprises collecting initial data and constructing a finite element model based on the initial data; quantifying an engineering target as a loss function and setting an optimization target, solving the mechanical response of a neighboring structure under current construction parameters through forward simulation of the foundation trench excavation, and calculating the gradient of the loss function propagated to the loss function by the construction parameters to be optimized in reverse; then updating the construction parameters according to the gradient and a preset learning rate, repeating the forward solving and parameter updating process until the loss function converges and the optimal construction parameters are output, and then converting the optimal construction parameters into a specific implementation scheme. The method realizes accurate optimization of construction parameters with the help of differentiable simulation, can effectively evaluate the influence of excavation on the neighboring structure, and provides reliable technical support and scientific basis for the immersed tube foundation trench excavation.

The application discloses a kind of self-adapting step increment regularization structural damage identification method and device, and it is related to the field of computational mechanics.The method comprises the following steps: S1, obtaining the structural dynamic response and extracting the modal parameters;S2, constructing a finite element model and defining the damage factor;S3, deducing the sensitivity matrix of modal flexibility relative to the damage factor;S4, constructing an incremental regularization iterative objective function;S5, solving the objective function using an adaptive step strategy based on residual feedback, and dynamically updating the damage factor;S6, determine the convergence and output the identification result.The application innovatively constructs a "sensitivity-driven + adaptive step feedback" mechanism, dynamically adjusts the regularization strength by real-time monitoring of residual error, and realizes fast search with "large step" in the early stage and accurate noise removal with "strong constraint" in the later stage.This strategy effectively solves the numerical stability problem of high-dimensional ill-posed problems, and realizes high-precision and fast-converging identification of structural damage under strong noise interference.

This invention provides a method and system for simulating rock creep processes based on deep learning-based near-field dynamics, involving the interdisciplinary fields of rock mechanics, computational mechanics, and artificial intelligence. The method includes: acquiring parameter information of the target rock to be simulated, including the rock's geometry and physical properties; discretizing the target rock into several material points based on the parameter information to construct a creep damage model; performing time-step iterative simulation of the rock creep process based on the initialized creep damage model, ultimately obtaining the displacement field, stress field, and creep strain distribution of the target rock over time. This invention significantly improves computational efficiency by establishing a neural network mapping from bond geometric variables to force density, replacing the complex iterative calculations in traditional near-field dynamics. Furthermore, by combining the creep damage model with damage evolution criteria, it achieves high-precision simulation of the entire creep process of fractured rock masses.

This invention belongs to the interdisciplinary field of wind power engineering technology, computational mechanics, and intelligent algorithms. Specifically, it discloses a collaborative optimization design method and system for spatial tower wind turbine foundations. The design method is based on numerical simulation result feedback and a non-dominated sorting genetic algorithm II, and includes the following steps: S1. Initializing the design space; S2. Constructing a multi-objective optimization model; S3. Parametric model generation and nonlinear simulation; S4. Extracting numerical simulation feedback; S5. Feedback-based population evolution; S6. Iteration and output. The design system includes: a parameter management module; a simulation-driven module; an optimization engine module; and a result post-processing module. This invention facilitates the safe, reliable, and economically reasonable collaborative optimization design of wind turbine foundations under extreme loads.

The present application relates to rock material elastic modulus field and Poisson's ratio field prediction technical field, especially to a kind of rock elastic modulus and Poisson's ratio field prediction method based on physical constraint, the method includes constructing rock mechanics sample data set, the data set includes rock elastic modulus field, Poisson's ratio field, strain field, stress field and spatial coordinates, construct physical information neural network, including constructing encoder, decoder and physical calculation layer, the physical calculation layer is used to calculate the strain field of mechanical response;Based on physical information neural network, construct the multiple composite loss function of fusion physical constraint, based on multiple composite loss function, physical information neural network is iteratively trained, and the high-resolution elastic modulus field and Poisson's ratio field of target rock test piece are output, the present application introduces parameter physical constraint in model training process, ensure that the elastic modulus and Poisson's ratio parameter field predicted meet the basic law of rock mechanics, improve the credibility of prediction result.

The present application belongs to the technical field of computational mechanics involving nonlinear topology optimization, and particularly relates to a super-high-speed impact-resistant structure design optimization method based on an explicit topology optimization framework. In the framework based on the moving morphable components method, upper and lower limits need to be set for the design variables of the moving morphable components method. Then, the genetic algorithm randomly generates multiple sets of candidate design variables, and an initial structure configuration is obtained therefrom. The configuration is then converted into a smoothed particle hydrodynamics model, and corresponding boundary conditions are applied. Then, the structure response of mass and displacement is obtained, and an objective function and related constraint conditions are constructed. Finally, according to the design variable update criterion of the genetic algorithm, cross and mutation genetic operations are applied to generate the next generation of candidate design variables. After the iteration ends, the optimal individual is selected as the final configuration according to the objective function and the constraint conditions. The present application has a small number of design variables, making it possible to optimize the design of super-high-speed impact-resistant structures.

The application belongs to the field of computational mechanics and engineering simulation, and discloses a semi-homogeneous numerical analysis method and system for interface damage analysis of porous material, which comprises the following steps: step one, a discretized material point numerical model containing different material phases and physical interfaces is established, material parameters are input, and the cross-interface interaction bonds connecting different material phases are identified through space distance and phase attribute determination; step two, based on the identified cross-interface interaction bonds, an interface defect characterization algorithm is introduced to randomly break a given proportion of the cross-interface interaction bonds to characterize the original interface defects; step three, based on the generated defect-containing cross-interface bond set and pure phase bond, the force state based on the defect-containing bond set and phase identification is solved; and step four, based on the bond type identification, dynamic integration and multi-phase microscopic elastic-brittle fracture evolution are carried out.