8 results about "Grid deformation" patented technology

This invention belongs to the field of automotive parts manufacturing, specifically involving a simulation system, method, equipment, and medium for evaluating the impact of materials on wheels. Based on a target wheel test bench, a corresponding simulation model is established; several sets of material properties, yield strength and tensile strength, are input to generate SN curves; corresponding stress criteria are generated based on the SN curves; the corresponding weight is obtained, optimization results are obtained, and the optimization results are evaluated. This invention converts the wheel bending fatigue life into equivalent fatigue strength through SN curves, and uses high-order mesh deformation technology to quickly and efficiently evaluate the impact of yield strength and tensile strength on wheel weight. It provides a scientific and accurate simulation prediction method for evaluating the impact of material properties on wheel weight, with broad application prospects and market value. This addresses the problem of difficulty in quickly and accurately evaluating the quantitative impact of new materials on wheel weight under bending fatigue conditions.

This invention relates to the fields of remote sensing and geographic information engineering technology, and particularly to a land use change identification method driven by multi-source spatial data. The method includes: acquiring multi-source spatial data covering a target area and performing standardized preprocessing to generate a priori land use map as the data assimilation background field; constructing a land use abundance change process model based on material conservation, and obtaining a spatial discrete framework through adaptive grid deformation; establishing a multi-source differentiable observation operator, and solving the core parameters through four-dimensional variational assimilation with land use conversion constraints to complete land use change identification and rolling dynamic monitoring. In this invention, land use change is modeled as a continuous physical process, overcoming the limitations of traditional discrete-time hard classification and comparison methods. This effectively improves the temporal coherence of change identification and the consistency of multi-source data fusion, meeting the needs of high-precision long-term land use dynamic monitoring, and providing stable and reliable data support for natural resource surveys, monitoring, and land spatial management.

The application discloses a wing robust optimization design method based on Hessian eigenvector dimension reduction, and belongs to the technical field of aircraft design optimization, and comprises the following steps: determining initial design variables corresponding to an initial geometric shape of a wing; updating a wing geometric shape, and then adjusting a fluid calculation grid by using a grid deformation module; performing dimension reduction on an uncertainty space based on a Hessian eigenvector, and calculating aerodynamic performance data and a first-order gradient of sample points; inputting the aerodynamic performance data and the first-order gradient of the sample points into a UQ module, and calculating gradient information of the initial design variables; and judging, by an optimizer, whether a wing configuration determined by the initial design variables is convergent. The application reduces the calculation cost and improves the calculation efficiency while ensuring the accuracy, and provides an efficient technical path for engineering-level aerodynamic robust design under high-dimensional uncertainty conditions.

The present application relates to the technical field of visual analysis, in particular to a similarity visual analysis method for a standard fingerprint of momordica grosvenori raw materials, the present application performs smoothing processing and second derivative operation on a standard fingerprint, constructs a rigidity weight vector based on curvature energy, and introduces the rigidity weight vector into a dynamic time warping algorithm to realize a restricted elastic alignment between a to-be-tested fingerprint and a standard fingerprint. On this basis, a spectrum difference is mapped into centripetal load and normal load of a ring-shaped elastic grid through projection and residual decomposition, a single-batch topological surface is generated by solving grid deformation, and a three-dimensional terrain map is constructed by stacking and interpolating multiple batch results. Further, a Laplace field analysis is performed on the three-dimensional terrain map, abnormal extreme values are extracted, and pattern matching is performed with a process fault knowledge base to output corresponding quality abnormal batches and process diagnosis conclusions, so that intuitive expression of the similarity of the momordica grosvenori raw material fingerprint and intelligent analysis of process abnormalities are realized.

The application provides a segmented manufacturing welding shrinkage and assembly deviation compensation method for a suction sail of a ship, comprising: if a local shrinkage vector in a prediction distribution diagram exceeds a preset threshold, adjusting welding sequence parameters through an iterative optimization algorithm to obtain an optimized welding path planning; extracting segmented boundary coordinates from the optimized welding path planning, performing three-dimensional scanning data fusion on a curved surface structure, and judging a cumulative effect of a size deviation; obtaining the judged cumulative effect of the size deviation, simulating an assembly fitting process by using a grid deformation algorithm, and determining a deviation correction matrix of a potential misalignment area; applying a virtual force field constraint to the segmented model through the determined deviation correction matrix to obtain a corrected segmented geometry shape; generating a digital twin model for assembly alignment according to the corrected segmented geometry shape, judging whether an overall precision meets a preset standard, and obtaining a final manufacturing adjustment scheme.

This invention discloses a multi-level partitioning constraint method and apparatus for general mesh deformation problems, relating to the field of mesh deformation technology in numerical computation. The method includes: reading mesh data; partitioning the object surface mesh into multiple levels; constructing a local radial basis function interpolation system within each partition using a greedy algorithm; using the difference between the previous level deformation result and the target deformation result as the deformation target to progressively correct the positions of the object surface and volume mesh nodes; calculating the global deformation using radial basis functions in the first level, and limiting the local deformation range using dual-constraint radial basis functions in non-first levels; accelerating the calculation of dynamic and static boundary distances using distance search based on K-dimensional tree pre-screening; and outputting the deformed mesh. This invention avoids the high cost of direct global solution through multi-level partitioning and hierarchical point selection strategies, significantly reducing the computational cost of constructing a radial basis function interpolation system in large-scale 3D mesh deformation while maintaining mesh quality and deformation accuracy, effectively improving the efficiency of deformation calculation.