77 results about "Deterministic analysis" patented technology

The invention discloses a hydrological model comprehensive uncertainty analysis method based on a Copula function. The method comprises the following steps: (1) collecting data information of a water basin; (2) establishing a hydrological model to simulate a water basin outlet section flow process; (3) determining a marginal probability distribution function of actually measured flow and simulation flow; (4) using the Copula function to construct an united probability distribution function of the actually measured flow and the simulation flow; (5) solving a condition probability distribution function of the actually measured flow while the simulation flow is given; (6) acquiring median of the actually measured flow and an uncertainty interval. Through the adoption of the method disclosed by the invention, the uncertainties of the model parameter and the model structure can be more comprehensively considered at the same time so as to obtain the comprehensive uncertainty of the hydrological model. The method disclosed by the invention is independent from a certainty hydrological model, and can be synergistically integrated with the certainty hydrological model with any complexity without adding any assumption on the model, and a universal theoretical frame is provided for the analysis of the comprehensive uncertainty of the hydrological model.

A system, method, and computer-readable medium for performing a crowdsourcing data analysis operation. More specifically, the crowdsourcing data analysis operation receives data from a plurality of crowd sourced devices, aggregates the data received from the plurality of crowd sourced devices and maps the data received from the plurality of crowd sourced devices to a cohort (i.e., a group of individuals used in a study who have something in common). In certain embodiments, the crowdsourcing data analysis operation analyzes the data received from the plurality of crowd sourced devices to provide a deterministic analysis to infer a likelihood of potential incidents related to a group of individuals at any given time. Additionally in certain embodiments, the mapping of the data received from the plurality of crowd sourced devices includes binding the data to a physical or logical location.

The invention discloses a link mechanism based multifunctional teaching aid which comprises a main teaching aid driving mechanism, a slider speed describing mechanism, a cam curve describing mechanism, a link speed describing mechanism and a motion certainty analysis mechanism, the main teaching aid driving mechanism, the slider speed describing mechanism and the cam curve describing mechanism are arranged on a main teaching aid support, and the main teaching aid support comprises a horizontal base plate and a rectangular frame fixed on one side of the horizontal base plate. Knowledge points of various mechanical principles are represented through a plurality of link mechanisms arranged on the main teaching support, teaching effect can be improved, and classroom teaching is enabled to be more targeted and applicable.

The invention provides a method for promoting computation accuracy for interference between cellular mobile communication system base station, computation device for accomplishing the method, base station including the computation device and radio communication system. In the invention, analyzing a good many of shortcomings combining practical network topology structure according to existing definability , calculating accumulating interference of multiple interference base station to present interference base station, simultaneously considering transmission model between interfered system base station and terminal, determining the maximum interference the interference base station can bear from coverage confined angle, further evaluating the method for interference avoidance minimum separation. Definability computation accuracy is dramastically promoted in the inventive interference definability analysis method compared to traditional MCL analysis method, which provides assurance for quickly and accurately evaluating interference between different mobile communication system base stations.

The invention discloses an analysis method on the basis of distribution characteristics of a space machining error of a numerical control machine tool, belongs to the field of accuracy design of a machine tool and particularly relates to an analysis method on the basis of the distribution characteristics of the space error. On the basis of space geometric error deterministic modeling and geometric error measurement which are established by a multibody system and the matrix total differential and random process principle, a space error deterministic analysis model of a precision horizontal machining center is established and the distribution characteristics of a geometric error and the space machining error of the machine tool are analyzed. The invention discloses a novel machine tool design concept and fundamentally solves the problem of accuracy of the machine tool. Guiding suggestions also can be given to actual assembling and machining, so that output of the error is reduced, machining accuracy of the numerical control machine tool is improved and the problem of accuracy of the machine tool is fundamentally solved.

The invention relates to a multi-group section perturbation method for uncertainty analysis of reactor physics calculation. The multi-group section perturbation method comprises the following steps: (1), on the basis of ENDF/B, making a multi-group section database and a point-by-point section database at different temperatures by using a nuclear database section processing program NJOY, and making the point-by-point section database in a resonant reaction channel at a resonant energy section into an ultra-fine-group database according to the equal rib width; (2), perturbing the point-by-point section database in the energy section corresponding to a certain energy group in a certain reaction channel so as to obtain a perturbed point-by-point section database; (3), strictly transferring perturbation of the point-by-point section database into the multi-group section database by using a linear and nonlinear perturbation transferring method; and (4), reconstructing by adopting a reaction channel section self-consistency principle to obtain a perturbed multi-group section database. According to the invention, the section of a basic reaction channel can be finely sampled; approximate treatment in the multi-group section perturbation process can also be reduced; and thus, a precise multi-group section sample can be obtained.

The invention belongs to the technical field of laser precision detection and discloses an integrated laser probe component analyzer for macroscopic and micro-area component analysis. The integrated laser probe component analyzer comprises a laser, a frequency multiplication module, two cage-type cubes, two laser wavelength reflectors, an industrial camera, a spectrum collector, an object lens converter, a focusing object lens, a spectrometer and a computer. A front end of a light outlet of the laser is provided with the frequency multiplication module. The laser is in an electric signal communication relationship with the computer. The integrated laser probe component analyzer can realize accurate qualitative analysis and high-precision quantitative analysis of macroscopic and micro-area components, can realize fast seamless switching of macroscopic and micro-area component analysis, has a modularization design and a compact structure, and improves an equipment integrated level. All the modules have independent functions and can be operated and maintained easily. Through the optical path modularization design, users can conveniently carry out optical path calibration before use so that operation time is saved and an analysis precision is improved.

The invention discloses a risk-informed nuclear power plant LBLOCA (large break loss-of-coolant accident) analysis method. The method mainly comprises the following steps: 1) selecting an initial event as a nuclear power plant LLOCA; 2) according to a risk system evaluation method, establishing an event tree under the initial event, and indentifying all possible response sequences of a safety system for mitigation measures of a nuclear power plant after occurrence of the LLOCA; 3) for the event tree analysis results, combining with fault tree analysis and taking various failure data into overall consideration, quantizing occurrence possibility of all event sequences; 4) calculating peak cladding temperature corresponding to each event sequence; and 5) estimating peak cladding temperature margin of the LLOCA. By introducing a probability risk evaluation technique to a conventional deterministic analysis method, a purpose of taking overall consideration of cognitive uncertainty and accidental uncertainty of the nuclear power plant is achieved, and analysis result is closer to actual situations of the nuclear power plant.

The invention relates to the field of non-determinacy analysis of a water supply pipe network model, in particular to a method for quantifying the computed result non-determinacy interval of a water supply pipe network model. The method comprises the following steps of: acquiring the pressure of each node and the pipe section flow in a water supply region; analyzing a potential data non-determinacy interval according to a system error and an accidental error; establishing a pipe network micro-model system communicated with a pipe network system; resolving a linear model; determining the non-determinacy interval of a simulated result by adopting random sampling simulation; quantifying the non-determinacy interval of the simulated result; and counting the probability density distribution of a result interval. The method has the beneficial effects that: resolving pipe network model linearization and linearized solution method for model by analyzing the non-determinacy intervals of measured data and model parameters, the non-determinacy interval of the simulated result is determined by adopting random sampling simulation, and a novel thought is provided for model accuracy estimation.

The invention discloses an orbital uncertainty analysis method based on differential algebra technology. Based on Taylor expansion of multivariate functions and polynomial operation framework, and based on the dynamic model of geosynchronous satellite orbit element description, solar pressure to the kinetic model, the third gravitational perturbation and the three perturbation terms of the Earth'soblateness are added in the dynamic model , the right term of the dynamic model is expanded along the nominal orbit by Taylor expansion, the expansion polynomial with initial deviation as variable isobtained, Under the frame of differential algebra, the orbital state expressed by the polynomial with the initial deviation as variable at any time is obtained, and the concrete value of the initialdeviation is brought into the polynomial result to obtain the state of the final spacecraft. The invention analyzes the optimal expansion order, the balance calculation time and the calculation precision according to different perturbation forces. The method can be used to analyze the orbit evolution of geostationary satellites with initial state deviation and parameter uncertainty, and can also be used in other spacecraft orbit evolution and attitude evolution missions.

The present invention relates to a Smart Defect Calibration, Diagnosis, Sampling System and The Method Thereof for manufacturing fab is provided. The intelligent defect diagnosis method comprises: receiving pluralities of defect data, design layout data, analyzing the defect data, design layouts, by a Critical Area Analysis (CAA) system, wherein the analyzing step further contains the sub-steps: superposing the defect contour pattern and the design layout, performing CAA to identify a killer or non-killer defect based on the open or short failure probability, defects are classified as high, medium, low, or negligible risk defect based on the Killer Defect Index, defect signal parameters, selecting defect samples based on the defect classification data, selecting alarm defect and filtering false defect with pattern match with defect pattern library and frequent failure defect library, performing coordinate conversion and pattern match between image contour and design layout for coordinate correction, creating a CAA accuracy correction system and defect size calibration system by analyzing original defect size data and defect contour size from image analysis, evaluating the defect size using measurement uncertainty analysis with statistical analysis methods to reach the purposes of increasing CAA accuracy and Killer Defect identification rate.

The invention discloses a preparation method of a high-carbon stainless steel standard sample, belonging to the field of detection of metallurgical samples. The preparation method disclosed by the invention comprises the steps of designing a casting mould, baking the casting mould and a steel ladle, selecting components, controlling the process of a casting process, demoulding, detecting physical performances, processing the sample, detecting the homogeneity of chemical components, carrying out deterministic analysis and determining effective height. The physical performances, the structural state, the component range and the homogeneity of the standard sample prepared by the invention can be satisfied; furthermore, the preparation cost is reduced; the sampling number is increased; at least 100 standard samples can be prepared every time; the number is above 20 times of that of die casting sampling; the preparation number can satisfy current production requirements; and thus, the standard sample preparation process has very high practical value and great popularization value in other matter test rooms.

The invention discloses a finite element analysis method for a spatial variability structure of geotechnical parameters in sequential Gaussian simulation. On the basis of the spatial variability structure of the parameters, a conditional random field is simulated, and the method has the obvious advantage of simulating the directional anisotropic parametric random field and is simple; according toan adopted parametric random field simulation method, with limited space observation data as known hard data, random field simulation is conducted according to second-order statistical characteristicsof the parameters under the condition, the assignment accuracy of the random field is improved, and the randomness of the random field is limited to a certain extent; the random field data generatedaccording to orthogonal grids is determined according to the shape contour of a specific calculation model, and unit data outside the contour is removed, so that the random field data of the calculation model is imported into finite element software for deterministic analysis and can be applied to repeated deterministic analysis of specific engineering landslide calculation examples, and characteristic parameters of sufficient calculation results are counted and used for evaluating the stability of a specific landslide instance.

The invention belongs to the field of power systems, and particularly relates to a method for analyzing the stochastic stability of an electric power system containing wind electricity. The method includes the steps that a stochastic differential equation is used for conducting modeling on stochastic disturbance existing in the system, an applicable stochastic stability definition is provided, the stochastic differential equation theory, an Ito formula and a stochastic Lyapunov energy function method are used for finding out a practical stochastic asymptotically mean square stability criterion, and a stochastic stability criterion of a system with uncertain state matrix parameters is derived. According to the method, the essence of the stochastic stability can be revealed more accurately, the defect that a deterministic analysis method is not accurate enough can be overcome, a model can be made to be more accurate, and a new theory and a new method can be provided for improving system control; the stochastic stability definition suitable for a electric power time-varying parameter system is provided from the point of a stochastic system is provided; a practical stability criterion of a stochastic time-varying parameter system of the electric power system is provided; compared with other methods, the method has conciseness and practicability.

The invention discloses a non-probabilistic uncertainty analysis and optimization design method of a multilayer thermal protection system based on experimental design. The method comprises the following steps that (1) a thermal conductivity coefficient, density and specific heat capacity are selected as uncertain parameters to achieve an interval expression of each uncertain parameter; (2) thickness of each layer and the uncertain parameters are extracted as characteristic parameters to achieve fully parametric modeling, analyzing and solving; (3) a correlation of the uncertain parameters is considered, a random sampling method of correlation factors is put forward, and test samples are selected; (4) an approximate model is constructed according to the samples, influence of uncertain parameters on response is analyzed, optimization selection is carried out, and an uncertainty analysis method of a multilayer structure temperature field is established; (5) the thickness of each layer is taken as a design variable, the constraint condition is that temperature of each layer is smaller than an allowable value, quality minimization is taken as a target function, an optimization model is constructed, and the optimization design of the multilayer thermal protection system is achieved. According to the non-probabilistic uncertainty analysis and optimization design method of the multilayer thermal protection system based on the experimental design, and through efficient uncertainty analysis and optimization, the efficiency of a thermal protection system structure is improved.

The invention provides a method for evaluating the reliability life of a cylinder head. The method includes: selecting the mission profile of an engine according to the purpose and service conditionsof the engine, and defining the operation time and working state parameters of the engine under different working conditions; in the indenture level of the engine and the cylinder head, determining the main failure mode of the cylinder head; performing deterministic analysis on the cylinder head to determine the weak part of the cylinder head structure; performing dispersity analysis on the material performance of the cylinder head to determine the ultimate strength distribution of the cylinder head; determining the loading condition and dispersity of the cylinder head under the selected working condition, and analyzing the stress distribution of the dangerous part of the cylinder head under the corresponding working condition; performing structural reliability analysis on the cylinder head; determining the probability distribution features of the fatigue life of the cylinder head and the reliability life, satisfying different reliability requirements, of the cylinder head. By the method, the reliability life of the cylinder head can be evaluated in the development stage of the engine, and the structural design and reasonable utilization of the cylinder head can be well guided.

The invention discloses a hierarchical control method for warp offset of a stratospheric satellite with model parameter uncertainty. The hierarchical control method comprises seven steps: firstly, performing parameter uncertainty analysis on a six-degree-of-freedom dynamical model, overcoming the difficult point that a warp offset control law of the stratospheric satellite cannot be directly designed by an integral feedback linearization method, extracting cascade subsystem models containing uncertain parameters in a ball-rope subsystem, a rope-sail subsystem and a sail-rudder subsystem from the six-degree-of-freedom dynamical model; decomposing the control problem into three sub problems, and respectively designing control laws of the three sub problems based on the subsystem models; respectively selecting parameters of three cascade subsystem controllers, enabling the response speed of the sail-rudder subsystem to be greater than that of the rope-sail subsystem, and enabling the response speed of the rope-sail subsystem to be greater than that of the ball-rope subsystem; finally, reliably realizing high-precision control over the warp offset of the stratospheric satellite under the condition that the model parameters are uncertain.

The invention belongs to the technical field of mechanical dynamics, and particularly relates to a bolt connection cylindrical shell structure frequency response function uncertainty analysis method with a flange. According to the method, eight-node degradation shell unit is adopted, and a kinetic model of bolt connection flange-cylindrical shell is established through a finite element method; bolt connection is simulated through discretizing modeling by using a spring unit, and the effectiveness of the built model is verified through a modal test; the uncertainty of the bolt connection stiffness is considered, the frequency response function interval range when the connection stiffness in five directions under a cylindrical coordinate system is an uncertainty parameter is solved based ona Chebyshev polynomial agent model and an interval analysis method, and under the deterministic inherent frequency, the Monte-Carlo sampling method is used for solving the frequency response functioninterval range, and the solving precision and efficiency of the two methods are compared; and finally, the multi-parameter uncertainty system frequency response function interval range is solved.

The invention discloses a fuzzy intelligent decomposition-coordination extreme response surface method of reliability-based optimal design. The method comprises the specific steps that the output response of a blade in the corresponding failure mode and the output response of a turbine disc in the corresponding failure mode are obtained respectively through heat-structure coupling certainty analysis; a fuzzy intelligent decomposition-coordination extreme response surface function (FIDCERSF) is constructed; dynamitic reliability sensitivity analysis is conducted by using an MCM; a fuzzy decomposition-coordination reliability-based optimal design model (FDCRBDO) is constructed. The method has strong advantages in the aspect of the overall reliability optimization design of a structure in a multi-component and multi-failure mode.

The invention discloses a fuzzy double response surface method for calculating the vibration reliability of a blade disk. The method comprises the following steps: building a finite element model of the blade disk; determining a basic parameter which affects the vibration reliability of the blade disk as a random input variable; acquiring the basic parameter for analyzing the vibration reliabilityof the blade disk through static analysis, modal analysis and harmonious response analysis of the model, thus completing the deterministic analysis of the blade disk; building a double response surface mathematical model; building a fuzzy reliability analysis mathematical model, and analyzing the vibration reliability of the blade disk; and verifying the effectiveness of the fuzzy double responsesurface method. The method disclosed by the invention is high in calculation speed and high in the precision, can directly show a varying relation of an output response, and provides a new way for the reliability engineering analysis.

The invention discloses an uncertainty analysis method for high-rise building wind response analysis models. The uncertainty analysis method includes the steps that firstly, base reaction force time interval data of designated building scale models are obtained through a high-frequency balance wind tunnel test, and the base data are converted into a prototype; secondly, the batch of time interval data are applied to different theoretical analysis models to conduct wind response analysis of designated buildings respectively; meanwhile, the same batch of base time interval data serve as input conditions to be applied to reference models of the designated buildings to conduct dynamic response analysis, and calculated structure responses serve as the reference responses; finally, based on the principle of the Bayesian model average method, the probability expression of the structure responses is established and applied to different analysis models to conduct model selection and response prediction uncertainty analysis; Bayesian factors are defined, and uncertainty of different analysis models is evaluated, and the set of optima models are found from the analysis models.

The invention discloses a structural probability optimized design method and belongs to the aviation structure optimized design field. According to the structural probability optimized design method, probability characteristics of a mean value and a variance of stress/strain are obtained due to processing of a stress/strain calculation result through a mathematical statics method based on the structural finite element analysis, then the size of the stress is confirmed according to a structural design requirement for reliability, and finally the structural optimized design is performed through a fully stressed/full strain method. According to the above processing methods, the structural design is improved greatly, the structural weight is reduced and the structural reliability is improved compared with an initial design, on one hand, the stress obtained through calculation through a probability method can show structural reliability requirement and is greatly improved compared with the deterministic analysis, and on the other hand, the weight is reduced and structural reliability is guaranteed confirming to requirements due to the design through the fully stressed/fully strain method.

The invention discloses an aircraft structure function integrated design platform system based on uncertain optimization. The aircraft structure function integrated design platform system is composed of a system framework program and seven sub-modules comprising a pneumatic shape design optimization module, a forecabin thermal protection system design optimization module, a wing thermal protection system design optimization module, a composite cooled structure design optimization module, a wing heat-protection load-bearing integrated structure optimization module, a wing pneumatic/structure/thermal coupling optimization analysis module and a basic database module. An integrated design of the platform is achieved on the basis that certain analysis optimization and uncertain analysis optimization of system functions of each structure are carried out. The platform integrates an aerodynamic force/heat database, an integrated model database and various algorithms into the system, and a convenient tool is provided for non-professionals to carry out an integrated design.