58 results about "Exact differential equation" patented technology

The invention discloses a shale gas well productivity evaluation and prediction method. The method comprises the following steps: an expression of a differential equation of a single-phase seepage mathematical model is obtained; the differential equation is solved and represented by a pressure form to obtain a seepage velocity and output formula; a deliverability equation is determined through fitting production data; the derived output formula is arranged to obtain a shale gas horizontal well staged fracturing output formula; boundary pressure (pe) required to be known can be known from the shale gas output formula; and as shale gas has the influences of absorption and desorption, a deviation factor is required to be corrected to obtain formation pressure of a shale gas reservoir. The prediction method deduces the deliverability equation for a shale vertical well and a horizontal well according to the desorption and dispersion characteristics of the shale gas, so that a shale gas output evaluation method is built, the precise output prediction is obtained, and the economic efficiency is improved.

The invention discloses a 3D TTI double-phase medium seismic wave field value simulation method based on a finite difference method. The 3D TTI double-phase medium seismic wave field value simulation method comprises steps of obtaining a solid and fluid stress tensor and a solid and flow strain tensor and transforming the tensors to a constitutive equation, obtaining a geometry equation according to the corresponding relation of stress and the displacement, obtaining a motion differential equation according to the constitutive equation, the geometry equation and the fluid motion relative to the solid and the corresponding relation between the stress and the displacement, taking the divergence on two ends of the motion differential equation to obtain a first longitudinal wave equation and a second longitudinal wave equation of the seismic wave, as for the first longitudinal wave equation and the second longitudinal equation, enabling a partial derivative to y to be zero and performing difference discrete on the space partial derivative and the time partial derivative by employing an 2N order precision expansion formula and a 2-order precision center difference form to obtain a first difference equation and a second difference equation, and performing boundary absorbing condition processing on the first difference equation and the second difference equation to obtain the corresponding seismic wave field value. The invention realizes the real-time transmission simulation of the physics seismic wave field.

The invention belongs to the technical field related to structure topological optimization design, and discloses an efficient structure frequency response topological optimization method. The method comprises the following steps that: (1) decoupling two coupling variables including time and space in a standard level set function in a dynamic model of which the structure is to be optimized, and meanwhile, expressing the level set function related to time as a matrix product form; (2) converting a partial differential equation of the time-related level set function into an ordinary differential equation so as to obtain a new linear system, and solving to obtain the time-related level set function; (3) carrying out finite element analysis on a macrostructure so as to calculate a target function and a constraint function of a structure optimization problem; and (4) calculating the sensitivity, which relates to a design variable of the target function and the constraint function obtained in the (3), and judging whether the target function is convergent or not after the design variable is updated. By use of the method, a discrete wavelet transform technology is adopted to carry out recompression on an interpolation matrix, efficiency is improved, and cost is lowered.

The invention discloses a space debris recovery control method based on a tethered technology. The space debris recovery control method is characterized by comprising the following steps that 1, the tether elasticity is considered, a space tethered debris system is researched by adopting an elastic rod module, and a system dynamics differential equation is built according to a class II Lagrange equation; 2, the system dynamics equation in the step 1 is rewrote into a non-dimensional system dynamics equation; 3, the in-surface outer pivot angle vibration abatement problem of nonlinear time-varying system dynamics equation in the recovery process is researched, and the tether length change analysis control law and the in-surface pitch angle value range in the expectation equilibrium position in the debris recovery process are inferred; and 4, the stability of the system and the value range, keeping stable asymptotically, of a pitch angle in an expectation surface are further analyzed through the Floquet theory. Through the space debris recovery control method, the effect that debris is stably recovered nearby an on-orbit spacecraft can be ensured, and meanwhile the safety in the recovery process especially the safety in the end time can be ensured.

The present invention provides a viscous-acoustic undulating surface forward modeling system and method based on a viscous-acoustic quasi-differential equation, belonging to the field of oil exploration. The method comprises the following steps of: performing irregular mesh generation of speed and quality factors, mapping the speed and quality factors in a mesh coordinate system, mapping a traditional first-order viscous-acoustic-stress equation to a curved mesh coordinate system, and applying the first-order viscous-acoustic-stress equation in the curved mesh coordinate system to deduce a second-order viscous-acoustic quasi-differential equation without memory variables in the same coordinate system. The new viscous-acoustic equation can better control the amplitude loss and phase dispersion caused by the viscous-acoustic medium to more accurately simulate the propagating precision of the viscous-acoustic medium of the undulating surface in a seismic wave, and when the equation is solved, a mixed space partial derivative difference method is provided to perform solution, and a new boundary condition suitable for an undulating surface curved mesh coordinate system is provided to absorb artificial boundary reflection.

The invention relates to a numerical value general solution method for a heat conduction heat source position recognition inverse problem. The numerical value general solution comprises the following steps that a heat conduction source position recognition inverse problem is described, the next step is directly executed if a heat conduction source is a point source, and if the heat conduction source is a non-point source, a conversion algorithm is adopted to convert the non-point source inverse problem into a point source inverse problem, and then the next step is executed; a homogeneous solution and a particular solution are calculated to construct a numerical value general solution; a system of linear equations is solved, and heat source position parameters are obtained. According to the method, the numerical value general solution meeting a heat conduction differential equation and using the heat source parameters as variables is constructed based on the finite element numerical solution, the heat conduction position recognition inverse problem is converted into a multivariate function extremum problem, and the heat source parameters are rapidly obtained through inversion. The method not only can inverse the point heat source position, but also can inverse the positions of heat sources in any shape, thereby being wide in application range, high in adaptability and good in engineering application prospect.

The invention provides a radar altimeter assistance method aiming to inertial navigation. In the method, a measurement quantity is constructed in the manner of calculating earth core altitude of an air vehicle according to position vectors outputted by the inertial navigation, calculating earth core altitude minus earth ellipsoidal radius to obtain the calculated altitude height of the air vehicle, obtaining observed altitude height by means of a measurement value from the radar altimeter with other algorithms, and calculating altitude height minus the observed altitude height to obtain a difference as the measurement quantity, and finally deriving a total differential equation of the measurement quantity. The invention provides a particular embodiment, wherein a strapdown inertial navigation/radar altimeter combined navigation system is formed on the basis of the measurement quantity. Estimation on position error status quantity is achieved, diffusion of position error is inhibited and positioning precision is increased through an indirect method Kalman filtering with feedback compensation.

The invention provides an aluminium alloy hot rolled strip transverse thickness distribution modeling method based on a spectral method. The influence of the thermal coupling effect of rolling force, roll bending force and a temperature field in the rolling process on roller deformation and strip transverse thickness distribution is studied, and a partial differential equation of work roller deformation with a thermal coupling effect is obtained; a characteristic function of a space linear operator corresponding to the equation is chosen as a space primary function, and the spectral method is used for conducting low dimensional approximation modeling to obtain a finite dimension nonlinear ordinary differential equation set; the linear part of the ordinary differential equation set is subjected to dimensionality reduction processing by a balanced truncation method or an optimization method, the nonlinear part and the non-modeled part in the approximate rolling process of a neural network are used for obtaining an intelligent hybrid module with the dimension being very low, and therefore the purpose of quickly forecasting strip transverse thickness distribution is achieved. The aluminium alloy hot rolled strip transverse thickness distribution modeling method based on the spectral method has the advantages that from the aspect of the mechanism of the rolling process, little computing amount is used, the model with the dimension being very low is obtained, accordingly, the real-time performance of forecasting of the strip transverse thickness distribution in the rolling process is improved, and a foundation of system optimization and control system design can be laid.

The invention discloses a simplified analysis method for an inherent frequency and the stability of a rotational symmetric structure. The method comprises the steps of establishing a complete dynamic differential equation of a system, a dynamic differential equation adopting a no-extension hypothesis, and a dynamic differential equation adopting an extension hypothesis: establishing the complete dynamic differential equation of the system; establishing the dynamic differential equation adopting the no-extension hypothesis; establishing the dynamic differential equation adopting the extension hypothesis; introducing coordinate conversion for converting the three dynamic differential equations to a support follow-up coordinate system so as to obtain corresponding three constant coefficient partial differential dynamic equations; performing discrete processing on the three constant coefficient partial differential dynamic equations in the support follow-up coordinate system to obtain three constant differential matrix equations; obtaining an eigenvalue of the complete dynamic differential equation and eigenvalues of two simplified dynamic differential equations; and analyzing a parametrically excited vibration mode characteristic and a dynamic stability change law of the rotational symmetric structure according to the three eigenvalues. According to the method, a specific analysis expression of system eigenvalues can be obtained more clearly.

A predictor usable for rapid and accurate calculation of joint commands of an articulated mechanism describes relationship between the joints in the form of a differential equation. The predictor solves this differential equation by direct substitution of a power series for each of its variables and the combining of selected sets of coefficients of these power series into linear systems of equations which may be solved to determine power series coefficients to arbitrary order.

The invention provides a method for designing a flexible mechanical arm disturbance observer based on a partial differential equation. The method includes the four steps that firstly, dynamic modeling of a flexible mechanical arm is conducted; secondly, the disturbance observer is designed; thirdly, stability of the disturbance observer is verified; fourthly, design is finished. According to the method, firstly the Hamilton principle is used, so that a PDE model of a whole system is obtained; then, based on the model, the reasonable disturbance observer is designed so that external unknown disturbance can be estimated; finally, a proper Lyapunov function is designed, so that the designed observer is analyzed and the stability of the observer is verified.

The invention discloses a quick phase selection method based on a fitting error of a line differential equation algorithm. The quick phase selection method based on a fitting error of a line differential equation algorithm includes the steps: establishing a fault model for different faults in a power transmission line; establishing power transmission line differential equations; solving the differential equations by means of the least square method, and calculating the least square relative fitting error in the differential equations; analyzing the least square relative fitting error, and finding out the characteristic difference of the least square relative fitting error under different fault types; according to the characteristic difference, constructing fault phase selection criterion for different faults; and determining the fault type and the fault phase, and then ending the phase selection. The quick phase selection method based on a fitting error of a line differential equationalgorithm has the advantages of being able to solve six types of line differential equations corresponding to single phase and interphase faults when the line malfunctions, analyzing the characteristics and the correlation of the least square fitting errors of the line differential equations so as to realize quick fault phase selection, wherein the typical phase selection speed is 5-6ms, being free from influence of the fault position and the transition resistor, being suitable for a weak power supply system, and being high in reliability.

The present invention is directed to simulating a droplet of a fluid, and may be embodied in a system, method or a computer-readable medium encoded with instructions for a processor to carry out such simulation. The present invention may evaluate differential equations, which may represent an approximation of behavior over time of the droplet on a non-flat substrate. The behavior that the differential equations represent may include diffusion in the droplet and evaporation of the droplet.

The invention relates to a high accuracy surface modeling method based on big data. The method comprises the following steps: creating geographic coordinate information and to-be-tested variable sampling values of all sampling points; turning a to-be-tested regional space into a grid point form through discretization, and establishing a sampling equation; conducting high order difference discretization on a partial differential equation set of a surface, obtaining a corresponding algebraic system, combining the algebraic system and the sampling equation to form an equality constrain least squares problem, converting the problem into a solve cross cutting object function minimum value problem, and then converting the minimum value problem into a solve symmetry indeterminate equation set; randomly selecting iteration initial values; blocking a coefficient matrix, and storing the block matrixes after decomposition; solving an HASM equation set through a block line projection iterative method, and determining whether a solving result is convergent; determining whether a solution meets demands of a Gauss and C.odazzi equation set; and outputting a high accuracy simulation surface model. Large-scale problems can be solved, the needed storage space is small, and defects of HASM for solving large-scale problems are prevented.

The invention discloses a delayed power system stability analysis method based on low-order EIGD (Explicitly Infinitesimal Generator Discretization). The method comprises the steps of establishing a delayed power system model for a power system, and linearizing the delayed power system model, that is, expressing the delayed power system model through a delayed differential equation; re-ranking state variables of the delayed power system in the delayed differential equation, and dividing the state variables into delay-independent state variables and delay-dependent state variables; transformingthe delayed differential equation into an ordinary differential equation by use of an infinitesimal generator, thereby equivalently transforming a characteristic equation of the delayed power systeminto an ordinary characteristic equation, and further transforming calculation for characteristic values of the delayed power system into calculation for characteristic values of the infinitesimal generator. According to the delayed power system stability analysis method based on the low-order EIGD, through re-ranking of the state variable of the system, discretization of the delay-independent state variables is removed, the number of dimensions of a discretization matrix is reduced, and therefore, the calculated amount for calculation of key characteristic values of a DCPPS (Delayed Cyber-Physical Power System) is reduced.

The invention provides an elastic soft robot kinematical modeling method based on a constant curvature assumption, and belongs to the field of robot kinematical modeling. According to the method, by means of the Kirchhoff bar theory and the constant curvature assumption, firstly, equations of force, displacement and control quantities corresponding to artificial muscles implanted into a flexible material of an elastic soft robot are established; then the actual length of the elastic soft robot at the working temperature is calculated, and mechanical parameters of the flexible material are usedfor calculation; and finally, the section inertia moment about a neutral surface is calculated, the curvature radius and the angle of the elastic soft robot at the working temperature are calculated,the true shape of the elastic soft robot at the working temperature is obtained, and kinematical modeling is completed. According to the method, the modeling process is simple and convenient, the influences of elastic deformation of the elastic soft robot are considered, numerical calculation of partial differential equations is not involved, and the relationship between the shape of the elasticsoft robot and the parameters of the artificial muscle in the elastic soft robot can be rapidly established.

The invention relates to a one-dimension left-handed material Crank-Nicolson perfectly matched layer realizing algorithm based on an auxiliary differential equation, and belongs to the technical field of numerical simulation. The method aims at reducing the left-handed material FDTD (Finite-Different Time-Domain) computational domain, and simulating a computer finite memory space into an infinite space. The one-dimension left-handed material Crank-Nicolson perfectly matched layer realizing algorithm has the technical characteristics that in a process of converting a plurality of stretched coordinate variables from the frequency domain to the time domain, the second-order differential in the stretched variables is eliminated by an improved auxiliary differential equation method, so that the number of the introduced auxiliary variables is obviously lowered, and a memory is optimized; then, a time domain Maxwell equation is subjected to discretization by a Crank-Nicolson time domain finite differential method; an explicit iteration equation of an electric field is deduced out; and finally, a value of an electromagnetic field component is obtained. The one-dimension left-handed material Crank-Nicolson perfectly matched layer realizing algorithm has the advantages that the unconditional stability is realized; the electromagnetic calculation is accelerated; and the memory is saved.

The invention provides a seepage solving method based on conditions of seepage boundaries and a differential equation of motion. The method is characterized by comprising the following steps: step 1, accurately measuring macroscopic geometric features of a study object, and establishing a corresponding geometric feature description equation; step 2, studying seepage coefficient distribution features of the study object, and establishing seepage coefficient distribution equations of the study object in a study area; step 3, studying boundary condition flow and water head features of the study object, and establishing a corresponding boundary condition flow and water head expression equation; and step 4, selecting the water head expression equation to enable the same to meet the corresponding differential equation of motion and the flow and water head boundary condition equations, and carrying out solving for each corresponding constant coefficient. The provision of the method has a promoting action on seepage movement study and application of various built structures and natural bodies such as dams, slopes, subgrades, tunnels, roadways and culverts.

A safety design method for water tank used in airtightness test of aeroengine casing is disclosed. Based on the relevant technical parameters of the water tank and the machine case with specific requirements, By using the equations of motion and gas state, combining with dimensionless time and pressure and initial conditions, the second order differential equations of dimensionless pressure and flight angle of plug fracture are established, the differential equations can be used to calculate different internal pressures, the initial and angular velocities of the plug fragment as it exits at the debris size, and then the mechanics equation is established by using the fluid mechanics principle, a method for calculating the impact velocity of plug considering the resistance coefficient of medium is established, the theorem of kinetic energy and the law of conservation of energy are used to model and estimate the wall thickness of water tank, the impact force of plug fragment and the impact strength of fragment. In order to meet the needs of engineering calculation, a conservative formula for calculating the initial velocity of plug separation is established. Finally, the safety designscheme of water tank for aero-engine casing airtightness test which meets the technical requirements can be obtained.

The invention relates to a two-dimensional vacuum Crank-Nicolson complete matching layer implementation algorithm based on an auxiliary differential equation and belongs to the technical field of numerical simulation.The method aims at reducing a vacuum FDTD computational domain and simulating limited memory space of a computer into infinite space.The implementation algorithm is technically characterized in that in the process that a two-dimensional modified Maxwell equation with plural stretching coordinate variables is converted into the time domain finite difference from the frequency domain, a Douglas-Gunn (DG) algorithm is utilized, an iteration equation with coefficients being block tridiagonal matrixes is approximately decomposed into two iteration equations with coefficients being tridiagonal matrixes, wherein the two iteration equations can be efficiently solved, and computational efficiency is obviously improved.The implementation algorithm has the advantages of achieving unconditional stability, increasing the electromagnetic field computational speed and saving memory.

The invention consists of means which computes the numerical solution of an interconnected system of first order differential equations in a single computational pass. The method in effect treats the digital computer as a close approximation to an analog computer whose solutions are instantaneous. This is in contradistinction to the prior art regarding digital computer solutions of first order differential equations that utilize repetitive computational passes over the same time interval to obtain numerical solutions, and which further generates estimates of future values extrapolated from past values of state variables. The invention inserts an auxiliary function existing between, and at, the times marking the computational intervals. The invention rests on three postulates regarding the auxiliary function: a first postulate expands on the Euler formulation of the solution of a differential equation by including the unknown sought after state variable in an expanded Euler formulation. a second postulate introduces an integratable auxiliary equation existing in the computational interval that is bounded by successive sample times. Parameters of the auxiliary functions are determined by using boundary values of the system state equations, a third postulate separates the system auxiliary equation into at least a first and a second part. A first part is the set of independent solutions of each first order differential equation within a system of first order differential equations; a second part incorporates the interconnections between the first order solutions of the state variables, and. a fourth postulate adds to the above by choosing the state equation for each independent first order differential equation, in a system of differential equations, as the integratable auxiliary equation; furthermore choosing the solution of the chosen auxiliary equations as the definite integral of each auxiliary equation; and furthermore obtaining the overall system state via simultaneous solution of the resulting system of algebraic

Each ordinary differential equation of simultaneous ordinary differential equations is solved with an embedded Runge-Kutta method. A difference Δ between an N-th order approximation and an (N+1)th order approximation is computed, and it is determined whether the difference is smaller than a predetermined threshold Δ₀. If Δ≦Δ₀, then a step size is determined using a predetermined computation formula containing Δ₀/Δ, and then the process proceeds to next computation. A strand having an error of Δ>Δ₀ is directed to execute recomputation using a step size calculated based on Δ₀/Δ. Then the strand having the error executes recomputation by using a computed interpolated value. When the strand's error becomes smaller than the threshold Δ₀ the strand reaches the same time step as the strands computing the other ordinary differential equations having no error. The process thereby proceeds to next computation of the whole simultaneous ordinary differential equations.

Provided is a gait contour extraction method. A level set function is expressed in a spatial-temporal discrete grid. First, an SDF (Sign Distance Function) is constructed, and initialization for zeroing is carried out; then, the numerical solution of a partial differential equation is solved; and finally, re-initialization is carried out through a curvilinear sign distance function, whether the numerical value is stable or not is judged, iteration is stopped if the numerical value is stable, or the process is repeated. The gait contour extraction method has a good localization effect for image boundaries. The image edge and regional information are combined, and the definition and distinctiveness of the gait contour are improved.