7 results about "Temporal discretization" patented technology

The invention discloses a valve structure simulation method and device based on finite element analysis and a readable storage medium, and belongs to the technical field of valves, the simulation method mainly comprises a multi-physics field coupling method, control equations of a plurality of physics fields are simultaneous to obtain a control equation set, and the control equation set comprises a physics field parameter array corresponding to the physics field; the control equation set comprises a fluid mechanics equation, a damp-heat conduction equation and an elastic mechanics equation, a unified equation set is formed, and then discretization processing is carried out; performing discretization to convert a continuous partial differential equation into an algebraic equation set; for a transient problem, a display or implicit time integration scheme is adopted to perform time discretization on a simultaneous equation. An apparatus includes a memory, a processor, and a computer program. A terminal program for executing the method is stored in the storage medium. Factors such as fluid flow, damp heat conduction and structural mechanics can be considered at the same time, the simulation real-time performance is improved by integrating an advanced method and an optimization strategy, and the precision is improved while the working efficiency is ensured.

The invention relates to the technical field of tidal current energy utilization, and discloses an oscillating hydrofoil motion response and fluid-structure interaction deformation solving method, which comprises the steps of defining a hydrofoil motion mode and structure and fluid key parameters, and defining core characteristics of pitching given motion, free heaving motion and bending-torsion coupling deformation; establishing a heaving motion kinetic equation based on the Newton's second law, and constructing a bending-torsion coupling deformation control equation in combination with the structural mechanics principle; building a three-dimensional numerical simulation model containing block grids and boundary layer encryption design, and meeting calculation requirements through spanwise and time discretization processing; solving a fluid distribution load and a total lift force based on a Navier-Stokes equation; and a four-order Runge-Kutta method is adopted to solve the heaving motion response, and a Newmark-beta time integral method and a finite difference method are adopted to solve the bending-torsion coupling deformation. In this way, the strong coupling characteristics of hydrofoil movement and fluid-solid coupling deformation can be accurately captured, and technical support is provided for design optimization and performance improvement of the oscillating hydrofoil type tidal current energy device.

The application discloses a complex dynamic system modeling method, an application method and related devices, and relates to the field of automation.The modeling method comprises the following steps: constructing an actual physical complex dynamic system; determining a solver of the actual physical complex dynamic system; performing time discretization on the actual physical complex dynamic system; constructing a deep neural network based on the solver and the discretized actual physical complex dynamic system; fusing the residual error of the deep neural network and an ordinary differential equation to construct a deep neural network model driven by physical equations and data fusion; obtaining an actual data set, and constructing a data residual loss function and an ordinary differential equation residual loss function, and calculating a total loss function through weighted summation; and determining the optimal shared parameters between the residual error of the deep neural network and the ordinary differential equation by minimizing the total loss function, so as to obtain an optimal deep neural network model driven by physical equations and data fusion.The application can realize deep fusion and complementation of mechanism models and data models.

This application relates to a spatiotemporal discretization control circuit and control method. The spatiotemporal discretization control method includes a spatial discretization mode, comprising: acquiring a spatial configuration value, which represents the workload required for the control circuit of the power consumption unit array to output; acquiring a spatial grouping value; which is used to divide the workload into 2... N The application involves grouping the workload into sub-workloads; obtaining the channel address value; dividing the channel address value into two parts based on the spatial grouping value; dividing the spatial configuration value into two parts based on the spatial grouping value; and comparing the second part of the bit-reversed channel address value with the first part of the spatial configuration value. This application also relates to a spatiotemporal discretization control method, including a time discretization mode. This application further relates to a spatiotemporal discretization control circuit, including a spatial discretization module. This application also relates to a spatiotemporal discretization control circuit, including a time discretization module.

The application discloses a kind of multi-stage space-time modeling road target detection methods based on event data.The present application constructs a kind of target detection network of fusion spatial feature modeling, space modulation context broadcast (SM-CB) module, deep separable convolution gated unit (DSConvGRU) module, pulse timing memory (STM) module and feature fusion and detection module for the problems of strong event camera data sparsity, time sequence dependence is significant and the lack of space-time information modeling of existing method.The method is first time discretization and space accumulation to event stream data, generates structured event representation;Subsequently in multi-stage feature extraction process, realize spatial feature modeling by local and global self-attention mechanism;On this basis, introduce SM-CB module to aggregate and space modulation global semantic information, enhance feature expression ability;While combining DSConvGRU module and STM module, the dynamic change of event data is modeled;Finally, through multi-scale feature fusion and detection head, the detection and positioning of target are realized.The present application can effectively improve the precision and robustness of pedestrian and vehicle target detection in complex road scene.

The application relates to the technical field of tidal current energy utilization, and discloses a solution method for oscillating hydrofoil motion response and fluid-structure coupling deformation, which comprises the following steps: defining hydrofoil motion modes and key parameters of structures and fluids, and clearly defining the core features of given pitching motion, free heaving motion and bending-torsion coupling deformation; establishing a heaving motion dynamics equation based on Newton's second law, and constructing a bending-torsion coupling deformation control equation in combination with the principle of structural mechanics; building a three-dimensional numerical simulation model containing a block grid and a boundary layer encryption design, and meeting the calculation requirements through spanwise and time discretization processing; solving fluid distribution load and total lift based on the Navier-Stokes equation; solving the heaving motion response by using the fourth-order Runge-Kutta method, and solving the bending-torsion coupling deformation by using the Newmark- β time integration method and the finite difference method. In this way, the strong coupling characteristics of hydrofoil motion and fluid-structure coupling deformation can be accurately captured, thereby providing technical support for the design optimization and performance improvement of an oscillating hydrofoil type tidal current energy device.

The application discloses a valve structure simulation method and device based on finite element analysis, and a readable storage medium, and belongs to the technical field of valves. The simulation method mainly comprises a multi-physical field coupling method: control equations of multiple physical fields are solved to obtain a control equation group, including a physical field parameter column array corresponding to the physical fields, the control equation group including fluid mechanics equations, heat and moisture conduction equations and elastic mechanics equations, forming a unified equation group, and then being discretized; the discretization converts continuous partial differential equations into algebraic equations; for transient problems, a display or implicit time integration scheme is used for time discretization of the simultaneous equations. The device comprises a memory, a processor and a computer program. The storage medium stores a terminal program for executing the above method. The application can simultaneously consider factors such as fluid flow, heat and moisture conduction and structural mechanics, and through integration of advanced methods and optimization strategies, improves simulation real-time performance, ensures work efficiency and improves precision.