19 results about "Theoretical research" patented technology

The invention relates to a theoretical research method of an ultrafast laser ablation mechanism, which comprises the following steps of: creating a double-temperature model for solving the change of electron and lattice temperatures along with time by adopting a finite difference method; in order to further explain a removal mechanism of a macroscopic material, a fluid mechanics model is established, a solid-liquid interface is tracked by a thermal enthalpy-pore method, a liquid-gas interface is tracked by a level set method, and the influence of backflushing pressure, surface tension, gravity and a Margoney effect on a molten pool is considered; and solving a Navier-Stokes equation set and a level set equation to obtain a solid-liquid-gas three-phase fluid mechanics model. The lattice temperature obtained by the double-temperature model is used as a heat source to be input into the fluid dynamic model, and the process of molten pool flowing and metal steam eruption is obtained. According to the method, the whole femtosecond laser ablation process is simulated by using a simulation method. Compared with an experimental method, on one hand, the time and the cost are greatly saved, and on the other hand, the problem that the temperature change of the femtosecond scale cannot be accurately measured by the current characterization means is also avoided.

The invention discloses a terahertz water channel modeling method based on an improved integral equation model, and the method comprises the following steps: S1, obtaining simulation parameters, carrying out the initialization, determining a complex dielectric constant, and carrying out the dual-scale modeling; s2, determining a height value and a local slope of each sampling point; s3, determining a shielding state of the sampling point; s4, correcting a dynamic roughness parameter of the dual-scale modeling; s5, coordinate transformation is carried out, and the reflectivity of the sampling points under the global coordinate system is obtained; and S6, determining the global vertical polarization reflectivity and the global horizontal polarization reflectivity, and drawing a curve for visual display. The method is not only suitable for theoretical research and simulation analysis, but also can provide key channel characteristic reference for design, optimization and deployment of a terahertz communication system, and has important scientific research value and engineering application prospect.

The application discloses a kind of multi-element doped system simulation methods for improving the performance of 2:17 type samarium-cobalt permanent magnet, comprising: step one, using the Visualizer module of material calculation software to establish the theoretical model of 2:17 type rare earth cobalt permanent magnet material;Step two, based on the GO module of quantum chemistry calculation software, the theoretical model of different doped systems is analyzed, and then the system with stronger magnetism is found;Based on the quantum chemistry calculation software, the doped model and virtual crystal approximation model of different doped ratios are established to obtain the better doped ratio by comparison.The application discloses a kind of multi-element doped system simulation methods for improving the performance of 2:17 type samarium-cobalt permanent magnet, the theoretical research of the characteristics of rare earth cobalt permanent magnet material itself and doping characteristics is carried out through the first principle, through the implementation of the project, the theoretical analysis of rare earth cobalt permanent magnet material is formed, which provides design idea for developing rare earth cobalt permanent magnet material with better system performance.

The invention relates to the technical field of underground hydrographic parameter inversion, and discloses an aquifer permeability coefficient field deep learning inversion method based on uncertainty quantization, comprising the following steps: step 1, data acquisition and preprocessing: acquiring spatial water head field data of an inter-well pumping test, integrating a water head field formed by multiple water pumping tests into a model input tensor, and performing normalization preprocessing on water head field data; acquiring corresponding permeability coefficient field real data, and performing logarithmic transformation and normalization processing on permeability coefficient values to serve as model training labels; step 2, model construction: constructing a deep residual error U-Net neural network model H-UQNet with a built-in Dropout layer; according to the method, high-precision and high-efficiency permeability coefficient field inversion is realized, the reliability and geological rationality of the result are remarkably improved through a built-in uncertainty quantification mechanism and geological statistical constraints, and the method has important theoretical research value and wide engineering application prospects.

This invention relates to a calculation method for droplet condensation on a smooth surface. Condensation experiments are conducted on surfaces with different wettability. A mathematical model is established to show the dependence of the condensation rate on surface wettability. Calculation assumptions are established to obtain the relationship between the volume change of a single droplet and the change in the droplet radius within a region. A condensation system is established to track changes in condensed droplet parameters and parameter changes after droplet merging. Results are output based on the condensation system and compared with actual implementation data for verification. The beneficial effects are: this invention studies the change in relative humidity after condensation stabilization, obtaining numerical simulation results that agree well with experimental results. It can effectively predict the changes in the state parameters of condensed droplets during condensation. This numerical simulation scheme facilitates the design of condensation systems for air conditioners, electric vehicles, etc., and saves experimental costs in theoretical research.

The present invention relates to a structural optimization design method for a single-sided formwork support system, which is characterized in that: the single-sided formwork support system includes a formwork panel structure and a formwork support structure, the formwork panel structure includes a panel, vertical ribs and horizontal ribs; the formwork support structure includes vertical rods, horizontal rods, anchor bolts and steel pipe diagonal braces. Through theoretical research on the single-sided formwork, it can help to develop a more applicable formwork, making the structural optimization of the single-sided formwork support system a multi-objective and multi-variable design. Taking the least material consumption, consistent safety reserves of members and reliable structural stiffness as the goals, an optimization equation is established, the parameters to be optimized are selected, and a generative adversarial neural network is used for multi-parameter optimization to determine the optimal structural parameter values of the single-sided formwork support system. Therefore, in order to more quickly complete the structural design of the single-sided formwork and obtain a single-sided formwork with better benefits.

The invention discloses a natural gas well productivity prediction and well test analysis method and system, and belongs to the technical field of natural gas related basic theory research. The method is based on related theories of mathematical physical equations and combines seepage characteristics of real gas in a porous medium in a natural gas well; according to the method, a natural gas nonlinear unstable seepage partial differential equation is established, a dimensionless transformation function of pressure, time and position defined based on a differential quotient is introduced, an analytical solution of the nonlinear seepage equation considering the turbulence effect is obtained, the productivity of a natural gas well is predicted, well testing data is analyzed, and well testing model calculation shows that the yield of the natural gas well is greatly improved. After the inertia-turbulence effect is considered, the bottom hole pressure is lower; the calculation of a fixed bottom hole flowing pressure model shows that the gas well yield is reduced after the inertia-turbulence effect is considered; compared with an existing method, the result has the advantages that errors are reduced, the precision is higher, and a certain theoretical basis can be provided for further researching the problem of unstable seepage of the complex heterogeneous oil and gas reservoir.

The application discloses a large mold cavity degradation and forging quality deviation prediction method under extreme working conditions, and specifically comprises the following steps: step 1, constructing a stress and forging forming coupling analysis model of the large mold under extreme service working condition; step 2, obtaining the change rule of each field quantity in a single cycle service of the large mold under extreme working condition; step 3, establishing a multi-cycle automatic expansion finite element analysis model; step 4, analyzing the service cumulative deformation, wear, damage and cavity shape degradation rule of the mold in multiple cycles; step 5, obtaining the influence rule of the mold degradation on the forging size deviation and calibrating the model. The application can effectively guide the design optimization and service maintenance of the large mold, prolong the service life of the large mold, improve the production precision and stability of the forgings, and is suitable for the service performance prediction of the large mold in the fields of aviation, aerospace and high-end equipment manufacturing, and has important engineering application value and theoretical research significance.

The present invention discloses a method for evaluating the delay of target position update, including the evaluation modeling of the delay of target position update and the quantization of the evaluation modeling; the modeling of the delay of target position update defines the delay of target position update as a combined function of hard delay and soft delay, and the mathematical model is as shown in #imgabs0#, where D represents the delay, D h represents the hard delay, and D s represents the soft delay; the hard delay is defined as the delay generated when the position data communicates with the control center or the cloud platform through the physical and / or spatial topology link according to a certain communication protocol; the soft delay is defined as the delay caused by the position update interval at the software algorithm level. The method proposed by the present invention solves the defects that the current delay of position update cannot be quantitatively evaluated or the evaluation is incomplete, significantly improves the feasibility and quantization of the evaluation of the delay of position update in the fields of communication, navigation, etc., and has great theoretical research value and engineering practice significance.

The application provides a method for estimating the kinematic vorticity of a compresso-shear structure by using seismic data, which comprises the following steps: step 1, performing standard reflection axis interpretation and industrial mapping of a target layer in a seismic acquisition area; step 2, preparing a plane distribution map of large faults and compresso-shear related folds in a structure-controlling belt; step 3, extracting a dominant trend of the large faults in the structure-controlling belt; step 4, extracting a dominant azimuth of the related compresso-shear fold ridgeline; step 5, preparing a relationship map of a main compressive azimuth and two characteristic azimuths of the compresso-shear structure; and step 6, calculating the kinematic vorticity of the compresso-shear structure. The method for estimating the kinematic vorticity of the compresso-shear structure by using the seismic data is not limited to the theoretical research of an orogenic belt outcrop observable and a sampling area, is suitable for the field of applied science, is universally applicable to a seismic acquisition area of a compresso-shear oil and gas basin, can clearly define an interpretation model of a complex compresso-shear structure unit, and can develop a reasonable interpretation scheme.

The application discloses a kind of extreme working condition under large mould profile size precision initiative compensation predecision-making method, the extreme working condition is: temperature range is 700 ℃-1200 ℃, forming load is 500MN-800MN;Specifically includes the following steps: step 1, constructs the large mould factor trace mechanism of forging geometric size target deviation;Step 2, degradation prediction input stage;Step 3, compensation amount calculation generation stage;Step 4, construct neural network proxy model.The application realizes the prospective prediction of mould cavity degradation and forging size deviation before forging production and profile compensation predecision-making, can effectively guide the design optimization, service maintenance and profile compensation planning of large mould, significantly improve forging production precision and stability, reduce mould failure and forging scrap risk, applicable to aerospace, high-end equipment manufacturing and other fields under extreme service working condition Large mould application, with important engineering application value and theoretical research significance.

The invention discloses an intensive bus duct phase sequence optimization arrangement calculation method, which comprises the following steps of: firstly, determining a bus duct model and all phase sequence arrangement modes thereof, and establishing a bus duct geometric model by utilizing modeling software; secondly, importing the model into electromagnetic transient simulation software, establishing a three-dimensional electromagnetic model of the intensive bus duct in modes of excitation application, grid division and the like, and solving and extracting the electrodynamic force of each phase line; a phase sequence arrangement sequence is given according to the size sequence of the electrodynamic force, a curve that the electrodynamic force changes along with the phase sequence is drawn, and a change trend is obtained by fitting an equation; and finally, giving out bus duct phase sequence arrangement suggestions according to a calculation result in combination with engineering practice. According to the method, the characteristics of flexible simulation setting, low cost and high working efficiency are fully utilized, the electrodynamic force values of the bus duct in different phase sequence arrangement modes can be accurately obtained, the optimal phase sequence arrangement mode of the bus duct is provided, and data and method support is provided for theoretical research, design, construction and operation and maintenance of the intensive bus duct.

The application discloses a kind of construction methods of multi-section combined mining horizontal pillar critical thickness optimization calculation model, belong to mining process technical field.The method is analyzed by the mechanical state where horizontal pillar is located, based on Mindlin medium thick plate theory, under the boundary condition of four edges fixed support, under the action of multi-stress field of upper uniform load, self gravity, two-way horizontal stress, the bottom surface is in the state of open space, the mechanical model of horizontal pillar;Finite fourier integral transformation method is used to solve and analyze the mechanical model of horizontal pillar, the internal force distribution law of horizontal pillar is obtained, based on maximum tensile stress criterion, the critical thickness optimization model of horizontal pillar is constructed, the mechanical action of horizontal pillar is clarified, the critical thickness optimization model of horizontal pillar constructed has important theoretical research significance and higher popularization and application value for accurately determining the critical thickness of horizontal pillar in mine, ensure the safety of multi-section combined mining.

The application provides a method and system for evaluating uniformity of coverage times azimuth angle distribution, and belongs to the field of three-dimensional seismic acquisition observation system design and optimization. The method comprises the following steps: step 1: collecting offset and azimuth angle data of effective coverage of a bin; step 2: calculating a vector opening angle of offset and azimuth angle, and an average value, a standard deviation and a variation coefficient; and step 3: evaluating the uniformity of coverage times azimuth angle distribution by using the vector opening angle of offset and azimuth angle and the variation coefficient. The application is suitable for theoretical research and field production of three-dimensional seismic acquisition observation system design. The application provides a method for quantitative evaluation and optimization of a three-dimensional observation system, has the advantages of being scientific, intuitive and having clear physical meaning, and is suitable for field production and theoretical research, has important significance for quantification and scientification of observation system design, and has a wide application prospect.

The application discloses a metal material fatigue crack propagation life prediction method based on crack propagation entropy, and comprises the following steps: defining a local area as a thermodynamic system; obtaining stress tensor, strain tensor and temperature evolution data in a plastic zone of a crack tip under an initial crack length, and calculating time entropy production rate and cycle entropy production rate; increasing crack length increment or cycle life increment; calculating cycle entropy production rate of the plastic zone of the crack tip after crack propagation; repeatedly implementing the crack propagation process and corresponding calculation until fracture failure or the crack propagation reaches a given length; establishing a cycle entropy production rate and cycle life function relationship, calculating crack propagation entropy at different crack propagation moments; constructing entropy production-damage parameters, establishing an entropy production-damage parameter and life consumption evolution law, and predicting crack propagation life based on the evolution law. The method is suitable for low-cycle and high-cycle fatigue crack propagation life prediction of metal materials, and has important theoretical research significance and engineering application value.

This invention relates to the field of groundwater hydrological parameter inversion technology, and discloses a deep learning inversion method for aquifer permeability coefficient fields based on uncertainty quantification, comprising the following steps: Step 1, Data Acquisition and Preprocessing: Acquire spatial head field data from inter-well pumping tests, integrate the head fields formed by multiple pumping tests into the model input tensor, and perform normalization preprocessing on the head field data; acquire the corresponding real permeability coefficient field data, perform logarithmic transformation and normalization on the permeability coefficient values, and use them as model training labels; Step 2, Model Construction: Construct a deep residual U-Net neural network model H-UQNet with a built-in Dropout layer. This invention achieves high-precision and high-efficiency permeability coefficient field inversion. Through the built-in uncertainty quantification mechanism and geostatistical constraints, it significantly improves the reliability and geological rationality of the results, and has important theoretical research value and broad engineering application prospects.

The invention discloses a multi-structure comparison pile pushing test method for a large-section circular anti-slide pile, and belongs to the technical field of geotechnical engineering model tests. The method comprises the following steps: a model preparation stage: designing and preparing a model pile and a slope body material based on a strict similarity theory, and installing an autonomous friction resistance reducing system; in the accumulation test stage, a single-row pile test, a multi-type pile comparison test, a double-row pile test and a portal pile test are sequentially conducted on the same slope body model, and the structure is changed from simple to complex; in the decline test stage, a single-row cantilever pile test and a side friction resistance test are conducted in sequence, and the structure is simplified. According to the invention, through the closed-loop test logic of accumulation-decline, systematic comparison of various slide-resistant pile structural forms is realized on one set of model, the test efficiency is high, and the data comparability is strong; systematic similar design is integrated, the friction resistance reduction and test technology is innovated, the test precision and authenticity are effectively improved, and a comprehensive and reliable test means is provided for design optimization and theoretical research of the large-section circular anti-slide pile.

The invention discloses a moraine shear characteristic analysis method considering an environmental effect, and belongs to the technical field of rock and soil mass mechanical tests. The moraine shearing characteristic analysis method comprises the following steps: designing and building a moraine direct shearing device considering an environmental effect; preparing a moraine test piece; under different test conditions, a moraine object direct shearing device is used for carrying out a shearing test on a moraine object test piece; acquiring shear stress and shear displacement of a moraine test piece in the shear test, fitting and analyzing moraine shear characteristics, establishing a coupling model and the like. Various environment factors such as environment temperature, consolidation pressure and rock debris content are comprehensively introduced and analyzed, moraine behaviors under different glacier environment conditions can be accurately reproduced, physical and mechanical parameters of moraine can be rapidly measured, shear characteristics of moraine can be known, systematic research on the moraine shear characteristics under complex environment conditions is achieved, and the moraine shear characteristic evaluation method has a wide application prospect. The coupling action mechanism of the environmental effect on the shear characteristic is disclosed, and a scientific basis is provided for theoretical research and practical application.

The present application belongs to the technical field of machine answering, and particularly relates to a question understanding method for machine answering. The present application firstly realizes feature extraction and unified semantic expression of single-mode / multi-mode data through a feature embedding module, an encoder and a contrast learning module, then defines direct statement relations and implied relations, extracts direct statement relations directly shown in the question in the question understanding process to realize fusion understanding of data, and reasons out implied relations required for answering the question, thereby laying a foundation for automatic solution of the question. The present application establishes a basic theory of machine answering, breaks through key technologies of machine answering, is very crucial for expanding a problem solving range and improving problem solving quality, has important theoretical research significance, academic research value and broad application prospect, and meets application services of machine answering.