21 results about "Parametric analysis" patented technology

This invention relates to the field of fluid machinery and valve engineering, and discloses a computational fluid dynamics (CFD) steady-state simulation method based on the adjustable opening of a V-type ball valve. This method establishes a three-dimensional geometric model including the valve body, valve sleeve, and V-type ball valve core, defining the cone angle of the V-type ball valve core as a function of the valve opening to achieve a continuously adjustable description of the valve opening. By meshing the internal fluid computational domain of the valve and locally refining the mesh at the valve core leading edge, the valve core-seat gap, and the boundary layer region, and combining the set initial and boundary conditions, the continuity equation and momentum conservation equation are solved using computational fluid dynamics methods to obtain the steady-state flow characteristics of the V-type ball valve at different openings. This invention describes the valve opening change in a functional form, improving the numerical stability of steady-state simulation under small opening conditions, while also improving the accuracy of flow characteristic calculations under large opening conditions, making it suitable for multi-condition parametric analysis of V-type ball valves.

The invention discloses a method for optimizing the stand column position and the framework section of a sunlight greenhouse of a single-tube arch structure. The method comprises the steps that a three-dimensional finite element model comprising an arch frame, stand columns and straining beams is established; determining the optimal distance from the stand column to the north wall through parametric analysis; sensitivity analysis is carried out, and key skeleton section parameters influencing the allowable snow load are identified; establishing a random forest model to establish a relationship between different skeleton section parameter combinations and allowable snow load values; and on the basis of the allowable snow load value predicted by the random forest model, the optimal skeleton section combination is determined in combination with the calculated steel consumption. The optimal stand column position can be effectively determined, the ultimate bearing capacity and the allowable snow load value of the arch structure are remarkably improved, meanwhile, the steel consumption is reduced by optimizing the cross section of the framework, the technical problem that the structural safety and economical efficiency of a large-span sunlight greenhouse under the snow load condition are difficult to balance is solved, and the construction cost is reduced. And a reliable theoretical basis and a practical optimization means are provided for the design of the sunlight greenhouse.

This invention discloses a method for analyzing the horizontal stress performance of pile foundations in layered transversely isotropic foundations, belonging to the field of pile foundation design and analysis in geotechnical engineering. The method includes: establishing a theoretical model of the pile-soil system, treating the foundation as a multi-layered transversely isotropic material and the piles as Bernoulli-Euler beams; establishing the pile stress-displacement equation based on the finite difference method; establishing the soil stress-displacement equation based on the fundamental solution of the multi-layered transversely isotropic material; constructing the overall stress-displacement equation for a single pile; introducing pile-pile interaction coefficients to extend the single-pile model to pile group analysis; solving the equation system using the full principal component Gaussian elimination method and writing a FORTRAN program for automated calculation; verifying the correctness of the method through numerical examples and conducting parametric analysis. This invention is applicable to the horizontal stress analysis of single piles and pile groups in non-uniform, transversely isotropic foundations of any number of layers, providing a reliable numerical tool for pile foundation engineering design and safety assessment under complex geological conditions.

The invention discloses a business risk analysis method and device, a medium, electronic equipment and a program product. The method comprises the following steps: determining a first data cluster in a first database; wherein the first database comprises a plurality of pieces of data related to the business risk, the plurality of pieces of data form a plurality of data clusters through clustering, and the plurality of data clusters comprise a first data cluster; for each piece of data in the first data cluster, determining a first business risk parameter of the data at a first time point based on a time difference between a generation time point of the data and the first time point and a data repetition number of the data; and based on the first business risk parameter of each piece of data in the first data cluster at the first time point, analyzing a second business risk parameter related to the first data cluster. According to the method and the device, the business risks related to different data clusters can be analyzed, and multi-dimensional business risk analysis can be carried out in combination with the time dimension and the data repetition dimension, so that the comprehensiveness and accuracy of business risk analysis are improved.

The invention discloses an aircraft landing gear statics simulation method based on a simplified bar system model. The simulation method comprises the following steps: S1, analyzing a landing gear structure and simplifying the bar system model; s2, statics analysis and formula derivation; s3, establishing a rod system simulation model; s4, a mechanical theory calculation result and a simulation analysis result are obtained; and S5, result verification and result output. By the adoption of the simulation method, the complex structure of the undercarriage is simplified into the rod system model, the rod system simulation model is established through statics analysis and formula derivation and mechanical simulation software, and on the premise that certain simulation precision is guaranteed, the method can be used for efficiently analyzing the mechanical performance of the undercarriage under the complex load working condition; the calculation efficiency can be remarkably improved, the modeling difficulty is reduced, parameterization analysis is conveniently achieved, an effective tool is provided for rapid design and optimization of the undercarriage, and the method is suitable for application and popularization.

The invention relates to the technical field of traceability tracking, in particular to a traceability tracking platform construction method and system based on multi-source heterogeneous data fusion, and the method comprises the steps: collecting operation state index parameters of a target traceability tracking platform in a historical period; the operation state index characterization value is analyzed; determining whether the operation efficiency of the target traceability tracking platform meets the standard; in response to the condition that the operation efficiency of the target traceability tracking platform meets the standard, collecting risk assessment parameters of the target traceability tracking platform in a historical period; analyzing the risk assessment characterization value; determining whether the target traceability tracking platform meets a risk assessment standard; and determining a processing strategy based on a difference result between the risk assessment characterization value and a predetermined risk assessment characterization threshold value in response to the fact that the target traceability tracking platform does not conform to the risk assessment standard. According to the invention, the accuracy and response efficiency of the traceability tracking platform are improved.

This invention relates to the field of thermal simulation technology for aircraft braking systems, specifically to a numerical simulation method for the temperature field of aircraft wheel brakes based on Ansys Workbench. The method includes constructing a three-dimensional geometric model of the braking system; defining the geometry, materials, and contact relationships of each component based on the three-dimensional geometric model and the operating conditions of the aircraft wheel brakes; writing APDL code based on the operating conditions of aircraft taxiing, takeoff, and landing, and the geometry, materials, and contact relationships of each component; setting boundary conditions according to typical braking conditions; simulating the braking conditions based on the written APDL code using the boundary conditions; and obtaining the temperature field distribution through transient thermal analysis. This invention, through the synergistic application of APDL command stream embedding and parametric analysis techniques, significantly improves the simulation model's responsiveness and predictive reliability in complex braking environments, providing important technical support for the thermal management design, life assessment, and structural optimization of aircraft braking systems.

This invention relates to a chloride ion diffusion-phase field coupling analysis method for corrosion damage in reinforced concrete. The method includes determining the chloride ion diffusion-phase field coupling analysis method and establishing multi-field coupling of chloride ion diffusion and phase field. It achieves full-process analysis of chloride-induced corrosion damage in reinforced concrete and predicts concrete durability. The method also involves macroscopic simulation of the corrosion process of reinforced concrete by chloride ion diffusion, comparing and verifying the correctness of the chloride ion diffusion-phase field coupling analysis method. Furthermore, it conducts parametric analysis to explore the influence of single or multiple reinforcements, protective layer thickness, or reinforcement position on cracking and durability degradation of reinforced concrete. Based on unified phase field theory, gradient damage theory, damage mechanics theory, and finite element simulation technology, this invention improves the accuracy of concrete durability prediction by performing full-process analysis of chloride-induced corrosion damage in reinforced concrete through multi-field coupling.

The invention discloses a BIM (Building Information Modeling)-based hyperbolic reversed beam roof facility design, plotting and quantity calculation method, which comprises the following steps of: 1, arranging basic conditions of a site into a site BIM model as a basis for parameterization analysis and design; 2, on the basis of the site BIM model, a piecewise linear regression method is adopted to compile a GH battery pack, the periodic change of the longitudinal gradient, namely the longitudinal piecewise gradient i, of a reversed beam is simplified, and available data is calculated for automatically generating a design scheme; 3, compiling a GH battery pack based on the piecewise linear model, wherein the GH battery pack is used for generating a facility planting scheme of the self-adaptive hyperbolic roof; 4, a CAD drawing is exported and used for guiding on-site construction; and 5, based on a battery pack modeling result, compiling the volume of the consumed planting box material under the battery pack direct calculation generation scheme. The invention relates to the technical field of constructional engineering, and can solve the problems that a traditional facility planting scheme design method is complicated, low in efficiency, prone to errors and inconvenient to check.

Systems and methods are described for performing analysis of parametric events. The method may include: (1) receiving weather data from a weather oracle network; (2) calculating, using a first trained machine learning algorithm, a likelihood of a trigger activation for a parametric event (or a trigger event) for a user based at least upon the weather data; (3) calculating, using a second trained machine learning algorithm, an estimated loss for the user based at least upon the likelihood of the trigger activation; (4) determining an initial coverage for the user; and (5) determining whether to offer the user updated coverage for the parametric event based at least upon a comparison of the initial coverage and the estimated loss for the user.

Systems and methods are described for performing analysis of parametric events. The method may include: (1) measuring, by one or more processors, an initial composition for an area via one or more sensors associated with the area; (2) using a trained machine learning algorithm, a likelihood of a trigger activation for a parametric event for a user, wherein the calculating includes: (a) predicting a total composition fluctuation for the area, (b) calculating a predicted composition change from the initial composition for the area based upon the total composition fluctuation, and (c) calculating the likelihood of the trigger activation, wherein the trigger activation occurs when the predicted composition change from the initial composition for the area reaches a predetermined threshold value; and (3) an estimated loss for the user based at least upon the likelihood of the trigger activation.

A system and method for analyzing integrated operational technology and information technology systems with sufficient granularity to predict key elements of their composite behavior. The system and method involve creating high-fidelity models of the operational technology and information technology systems using one or more cyber-physical graphs, performing parametric analyses of the models to identify key components, scaling the parametric analyses of the models to analyze the key components at a greater level of granularity, and iteratively improving the models via ongoing search and testing against observed data from the real-world systems.

A method and system for designing a battery system includes generating a geometric model for a battery system based on a plurality of design requirement data, analyzing the geometric model with an engineering physics simulation tool, performing a parametric analysis of the geometric model of the battery system using material properties and boundary conditions to obtain a plurality of battery system design data and selecting a selected battery system design from the plurality of battery system design data based on selection characteristics.

The invention relates to a method for calculating natural vibration frequency, vibration mode and pedestrian comfort of an assembled integral type bidirectional dense rib laminated floor system, which comprises the following steps of: obtaining a rigidity calculation formula of the floor system on the basis of a full-scale test and an abutted seam load test of the assembled integral type bidirectional dense rib laminated floor system; the natural vibration frequency and vibration mode calculation formula of the assembled integral type bidirectional dense rib laminated floor system is obtained through the free vibration equation of the bidirectional plate; considering the corrected vibration equation and the human-shaped load dynamic model of the assembled integral two-way dense rib laminated floor system, and performing numerical calculation to obtain an acceleration time travel curve of the assembled integral two-way dense rib laminated floor system; based on the numerical calculation method and parameterized analysis, a theoretical calculation formula of the maximum acceleration of the assembled integral type bidirectional dense rib laminated floor system is obtained. The method can effectively predict the natural vibration frequency, the vibration mode and the pedestrian comfort of the assembled integral two-way dense rib laminated floor, is well matched with test comparison, and can further guide the design and calculation of the assembled integral two-way dense rib laminated floor.

An apparatus comprising means configured to: receive at least one channel speech audio signal and metadata associated with the at least one channel speech audio signal, the at least one channel speech audio signal and metadata being generated from at least one microphone audio signal; and receive at least one channel ambient audio signal and metadata associated with the at least one channel ambient audio signal, wherein the at least one channel ambient audio signal and metadata are generated based on a parametric analysis of the at least one microphone audio signal and the at least one channel ambient audio signal is associated with the at least one channel speech audio signal; generate an encoded multi-channel audio signal based on the at least one channel speech audio signal and metadata and further based on the at least one channel ambient audio signal and metadata, such that the encoded multi-channel audio signal enables spatial rendering of the at least one channel speech audio signal spatially independent of the at least one channel ambient audio signal.

This invention provides a method for analyzing the dynamic characteristics of rigid pile composite foundations involving the interaction between the foundation and the structure. By establishing an overall finite element model of the rigid pile composite foundation-raft slab-superstructure, and systematically performing elastic and elasto-plastic dynamic time-history analyses under minor and major earthquakes, a refined simulation of the dynamic response of the composite foundation system throughout the entire earthquake process is achieved. Parametric analysis clarifies the distribution of internal forces in the rigid piles under minor and major earthquakes, the amplification factor of the pile's dynamic response, and the damping and energy dissipation mechanism of the cushion layer under different earthquake magnitudes. In particular, it quantitatively reveals the influence of the cushion layer thickness on its coordinated deformation and energy dissipation efficiency, thus providing crucial basis for performance-based seismic design. This method can output specific design optimization suggestions, such as the optimal thickness range of the cushion layer, effectively overcoming the errors of traditional separate analysis methods and the shortcomings of empirical design.

The invention relates to the technical field of data analysis, in particular to an SDK anti-fraud monitoring system and method based on multi-dimensional behavior analysis, and the method comprises the steps: extracting key performance indicator parameters; analyzing the key performance indicator characterization value; determining whether the stability of the target website meets a standard or not based on a difference result between the key performance indicator characterization value and a predetermined key performance indicator characterization threshold value; in response to the fact that the stability of the target website meets the standard, risk index data parameters are extracted; analyzing a risk index data representation value; determining whether the risk security of the target website meets a standard or not based on a comparison result of the risk index data representation value and a predetermined risk index data representation threshold value; and in response to the fact that the risk security of the target website does not meet the standard, determining the adjustment amplitude of the key performance indicator characterization threshold value based on a difference result between the risk indicator data characterization value and a predetermined risk indicator data characterization threshold value. According to the method, the anti-fraud efficiency of the SDK is improved through self-adaptive regulation and control.

A method that includes receiving audio content in a first-order ambisonics (FOA) format that includes a first plurality of audio signals, producing a plurality of spatially rendered audio signals by spatially rendering the first plurality of audio signals according to a layout of a virtual loudspeaker array, determining one or more filters by performing a parametric analysis upon at least one of the first plurality of audio signals, filtering at least one of the plurality of spatially rendered audio signals using the one or more filters; and producing a second plurality of audio signals in a higher-order ambisonics (HOA) format based on the plurality of spatially rendered audio signals.

The invention belongs to the technical field of BIM (Building Information Modeling) of curved-surface rectangular-ambulatory-plane cornice curtain walls, and particularly relates to an even-number collision removing method of a rectangular-ambulatory-plane cornice curved-surface curtain wall based on BIM (Building Information Modeling). A continuous spiral curve driven by a Fibonacci function is introduced at the collision position of the curtain wall and a building structure, the streamline position of the outer skin of the curtain wall avoiding the collision point is found, parametric analysis is conducted on the Fibonacci curve through Grasshopper, a model adjustment scheme of the collision position is determined, collision removal is conducted at the minimum cost, and the original appearance effect of the building appearance is not damaged.

A biometric analysis-supported sleep simulation and mattress selection system for use in a mattress retail environment is disclosed. The system comprises at least one enclosed sleep cabin configured to generate a controlled light sleep phase environment by regulating environmental parameters including light intensity, acoustic isolation, temperature and pressure conditions in order to simulate physiological sleep-related sensory conditions. At least one biometric sensing unit is arranged within the sleep cabin and configured to acquire physiological user data during a sleep or rest experience, including body pressure distribution, spinal alignment parameters and sleeping posture characteristics. A data processing module analyzes the acquired biometric data in real time to generate individualized sleep profile parameters associated with biomechanical support needs and comfort requirements. An analysis information interface presents processed biometric results to the user following completion of the sleep simulation experience. A recommendation interface is further configured to generate mattress selection guidance based on the analyzed biometric profile, thereby providing objective decision-support functionality within the retail environment. In certain implementations, the system further includes a sales interaction zone equipped with a visualization interface and a three-dimensional simulation display configured to present pressure mapping, spinal alignment indicators and mattress performance representations derived from biometric analysis results. The disclosed system establishes an integrated decision-support sleep simulation and decision-support process that enables users to experience a simulated physiological sleep phase prior to mattress selection, thereby improving selection accuracy, personalization capability and data-driven purchasing outcomes in mattress retail applications.