14 results about "Random structure" patented technology

The invention relates to the technical field of rock slopes, in particular to a stability analysis method for a random wedge body of a rock slope based on structural plane statistics. According to the method disclosed by the invention, on the basis of measuring a random structural plane developed in a slope rock mass on site and counting obtained distribution probabilities and statistical parameters of the tendency, the dip angle and the trace length of a dominant structural plane, a structural plane combination of a potential unstable block possibly formed on a free face of a slope is judged by adopting a stereographic projection pole analysis method; and aiming at each structural surface combination, a series of operations such as multiple random sampling, surface-to-surface intersection, branch cutting and surface combination forming are carried out by adopting a Monte-Carlo method to obtain a series of wedge bodies which are possibly unstable, so that the exposure depth, the scale and the stability of the wedge bodies are obtained, and a basis can be provided for systematic anchor rod support and shotcrete support design of the shallow surface layer of the rock slope.

The present invention discloses a design and preparation method of a random structure metal grid electromagnetic shielding film, which generates a regular periodic lattice in a two-dimensional plane; randomly perturbs each point in the regular periodic lattice to obtain an irregular random lattice; divides the random lattice into a Delaunay triangulation, and divides it into Thiessen polygons to obtain a random structure metal grid pattern; checks whether the structural parameters of the random structure metal grid meet expected standards, including the degree of randomness of the mesh, optical transmittance, secondary diffraction distribution and electromagnetic shielding effectiveness; if the standards are not met, repeats the random perturbation and Thiessen polygon division of the regular periodic lattice until the expected standards are met; the present invention designs and prepares a random structure metal grid electromagnetic shielding film, which is easy to design and process, and can also perform targeted adjustment on the structural parameters of the random structure metal grid according to the specific requirements of the optical system for optical performance and electromagnetic shielding effectiveness, and can be applied to different working environments.

The invention relates to the technical field of high-entropy alloy model construction. The invention provides a simulation modeling method, system and equipment for a high-entropy alloy coating interface and a storage medium. The method comprises the following steps: determining element types, contents and basic structures of a high-entropy alloy system according to application requirements; a special quasi-random structure file is generated by adopting a Monte Carlo simulated annealing algorithm, and a surface model is constructed through format conversion and crystal face cutting; specific atom pairs needing to be preferentially considered are recognized based on the atomic radius and the enthalpy formation criterion, and a surface structure model containing the specific atom pairs is constructed by exchanging the positions of surface atoms and block atoms; constructing a matrix surface model according to the actual matrix material parameters; the two are combined, and coordinates are calculated by setting interface spacing and layer number parameters so as to construct a coating interface model. The problem that in existing numerical simulation of the high-entropy alloy coating interface, a microstructure model cannot be accurately established due to the fact that specific atoms are difficult to recognize and position is solved.

The application discloses a nonlinear random structure dynamic reliability calculation method, and belongs to the field of structure health monitoring, comprising the following steps: collecting structure dynamic response data, and extracting high-order component signals of the structure dynamic response; correcting a random structure nonlinear model of an actual structure, and determining the probability distribution of the random structure nonlinear model parameters; applying external excitation load to the random structure nonlinear model, establishing a nonlinear random structure dynamic response state equation, and obtaining a probability density evolution equation; applying an absorbing boundary condition to the structure dynamic response according to a first exceeding failure criterion, combining a finite difference method and a nonlinear time-history integration method, obtaining the structure dynamic reliability changing with time under the dynamic load, and realizing the quantification of the reliability evolution process of the actual structure under the external load, avoiding the response assumption in the traditional reliability calculation process, and improving the calculation precision of the structure reliability.

The invention discloses a storage implementation method of a convolutional LDPC decoder without read-write conflicts, and belongs to the technical field of channel coding and decoding. In the prior art, a register-based scheme causes huge resource consumption due to network switching; memory-based schemes are faced with severe memory access conflicts. According to the method, a matrix-hardware collaborative design is adopted, a series of non-zero element position constraints are added in a random construction algorithm to generate a check matrix, and a parallel access process of a non-switched network is executed based on the matrix. In the process, during reading, an invalid path reads a default address to avoid using a read selection network; during writing, write enabling is controlled to avoid using a write routing network; and cross-level transmission conflicts are solved under a unified storage architecture through combinational logic. On the premise of ensuring high throughput and excellent error correction performance, storage access conflicts and a complex data exchange network are solved from the architecture level, and hardware resource consumption is remarkably reduced.

The invention discloses a method for designing medium / high-entropy carbide in ultrahigh-temperature ceramic for a multi-index screening hot-end component, and belongs to the field of ultrahigh-temperature ceramic materials. The method is based on first principle high-throughput calculation and comprises the following steps: firstly, constructing a unary carbide model, performing disordered doping by adopting mcsqs codes in an ATAT toolkit to establish a quasi-random structure model, and then obtaining an elastic constant through a structural relaxation and energy-strain method; further, multi-dimensional performance indexes such as mechanical stability, Young modulus, hardness and fracture toughness of the material are calculated and evaluated, and finally candidate components with excellent comprehensive performance are quickly locked through a multi-stage collaborative screening process. According to the method, material preliminary screening is converted into efficient virtual calculation from traditional time-consuming experiment'trial and error ', the research and development cost is remarkably reduced, the research and development period is remarkably shortened, and reliable prediction and guidance are provided for high-performance ceramic material design facing the extreme environment.

The present invention provides an optical PUF chip, reader system, and encoding capacity evaluation method based on a plasmonic random structure. The optical PUF chip comprises a substrate on which a dense array of nanostructures is deposited using a porous nanofilm as a deposition-assisted template. Due to the randomness and localized defects of the template, as well as the varying gradients of angular deposition, the nanostructures exhibit random variations in size, dimension, and distribution, exhibiting distinct plasmon resonance effects. The nanostructures include densely packed granular structures with statistically distinct variations determined by the template pore size, and clustered island structures determined by random defects within the template. This invention significantly accelerates the mass production of plasmonic chips and can be integrated with devices such as personal smartphones without the need for additional equipment. It provides a simple and direct method for improving encoding capacity, security, and stability, meeting the demands for tag encoding capacity and information verification in diverse fields.

The invention provides a dynamic load identification method for an uncertain structure and related equipment, and the method comprises the steps: obtaining an uncertain structure model, and determining the random structure parameters of the uncertain structure model; determining a to-be-identified load function of the uncertainty structure model according to the random structure parameters; determining a measurement response of the uncertain structure, and determining a linear relationship between the to-be-identified load and the measurement response according to the measurement response and the to-be-identified load function; and determining a sub-domain of a sample space formed by the random structure parameters and a corresponding assigned probability, and determining the distribution of the to-be-identified load according to the assigned probability, the linear relation and the measurement response. Measurement response is used as a known quantity, the measurement response can be represented by response linear superposition under the action of each to-be-identified load, the linear relation between the measurement response and the to-be-identified load is determined, and the to-be-identified load of an uncertain structure is converted into a deterministic load identification problem represented by representative points.

The application discloses a kind of based on task driving and feature joint optimization's metasurface structure design method.The method constructs the binary metasurface physical model consisting of K encoding area;Utilize deep learning network to extract K target spectrum vector group from target spectrum data set, as the optimization reference of each encoding channel;With the average value of the cosine similarity between each channel simulation response vector and corresponding target vector (task matching item) and the average value of multichannel spectrum response standard deviation (orthogonality item) constitute joint fitness function;Global iterative optimization is carried out to the 0 / 1 binary sub-pixel space distribution of each channel using genetic algorithm, to realize end-to-end task-driven reverse design.The application directly anchors the target spectrum obtained by dataset learning as the driving index of physical structure optimization for the first time, and the average standard deviation of the optimized multichannel is significantly better than that of the random structure, which can effectively improve the accuracy of the rear-end spectrum reconstruction.

The invention discloses a randomly configured afforestation method and system for forest stand vertical fault restoration. The afforestation method comprises the following steps: constructing a random complementary planting structure unit; the forest windows are graded according to the area scale, and different numbers of random complementary planting structure units are supplemented in a random configuration mode; selecting nursery stocks to be subjected to complementary planting; standardizing seedling planting and management; reasonably selecting complementary planting tree species of the random complementary planting structure units; the planting and afforestation time is stipulated. According to the method, dumbbell-shaped and torch-shaped configuration units are constructed, the forest windows with different areas and scales are graded, and different numbers of random complementary planting structure units are supplemented by adopting a random configuration mode, so that the stability and ecological diversity of the forest are remarkably improved. By simulating a random structure of a natural forest and constructing a random structural body, a long-acting and stable microenvironment is provided for the forest, the overall health and stability of the forest stand are maintained, the natural succession of the forest structure is accelerated, and rapid formation of a multi-tree mixed forest is promoted.

The invention discloses a random polygon mesh generation method. Comprising the following steps: setting the scale of a rectangular area, setting the number of random points, generating a specified number of uniformly distributed random points in the specified rectangular area by adopting a variance reduction sampling technology, generating a random polygon mesh by adopting a Voronoi method according to the random points, and generating a random polygon mesh according to the random polygon mesh. Calculating the ratio of the grid line area to the rectangular area according to the generated polygonal grid and the line width of the grid, adjusting the number of random points to enable the ratio to reach a target value, and finally outputting a random polygonal grid; the method has the advantages that the generated random grids are uniformly distributed, the ratio of the grid line area to the rectangular area can reach a target value, the design requirement of the industry on the random structure size characteristics of the material is better met, the moire phenomenon can be effectively reduced, and the display effect of the touch display screen can be improved.

The application discloses a kind of flip-chip type superconducting quantum chip anti-radiation optimized geometric structure design method, including the design bit structure's set of optimizable parameters, the multi-objective cost function model of specific frequency impedance etc.;Through the iterative optimization of multi-objective cost function model to the reverse design algorithm, output the optimal parameter set of bit structure.The application scheme is optimized to the bit structure parameter of superconducting quantum chip in flip-chip structure, by defining the set of optimizable parameters containing random structure parameters, the cost function with the minimum value of specific frequency impedance as the target is established, and the parameter iterative optimization is carried out.This method can effectively reduce the impedance mismatch of quantum bit under radiation environment through active anti-radiation design, reduce the influence of quasi-particle defects on bit, and enhance the anti-interference ability and calculation stability of superconducting quantum chip.

A method for predicting the ground state structure of small τ perovskite is disclosed. The method includes: S1, determining the positional occupations of elements MI, MII, and O in the perovskite by constructing Pm3 m symmetric MIMIIO3 and MIIMIO3 structures. The total energies of the relaxed MIMIIO3 and MIIMIO3 structures are compared, and the structure with the lower energy is selected. S2, the ground state structure of the selected lower energy structure is determined using a branch prediction method. This method leverages the group-subgroup relationship of octahedral tilting, the minimum energy principle, and branch calculation strategies, simplifying the process by utilizing symmetry information and structural evolution of perovskite materials. The method requires only a few days, avoiding the inefficiencies of traditional approaches, which rely on generating numerous random structures. The invention improves the practicability, efficiency, and accuracy of predicting small τ perovskite ground state structures.

The present invention discloses a method for calculating the elastic modulus of a multi-component multiphase alloy, comprising the following steps: 1) constructing a special quasi-random structure of a solid solution in an alloy using a Monte Carlo model; 2) calculating the variation of the thermal expansion coefficient of each component phase of the alloy with temperature using a quasi-harmonic approximation method, and obtaining the lattice constant of each component phase at different temperatures; 3) calculating the variation of the phase fraction of each component phase in the alloy with temperature using a CALPHAD method; 4) calculating the elastic constants of each component phase at different temperatures using first principles, obtaining the elastic constants of the multi-component multiphase alloy at a finite temperature based on a multi-component multiphase alloy elastic modulus calculation model, and obtaining the elastic modulus of the multi-component multiphase alloy through numerical processing. The present invention also discloses a method for designing the composition of a multi-component multiphase alloy, wherein, given an alloy system, the multi-component multiphase alloy elastic modulus calculation model is used to obtain the relationship between the variation of the alloy elastic modulus with temperature and composition, and to screen out an alloy composition that meets the design requirements of the alloy elastic modulus.