176 results about "Finite element method" patented technology

The invention discloses a mass concrete temperature evolution analysis model based on a multi-field coupling model. The mass concrete temperature evolution analysis model comprises the following steps: S1, establishing a concrete hydration field model containing temperature and relative humidity correction; s2, establishing a temperature field model containing common characterization of concrete matching, hydration degree and relative humidity; s3, establishing a humidity field model for correcting an early concrete water storage function and a humidity transmission coefficient based on the hydration degree; s4, establishing a water cooling model coupled with the concrete temperature field based on the non-isothermal pipeline flow; and S5, establishing an early concrete temperature rise analysis model based on hydration-heat-wet-water cooling coupling based on a finite element method. According to the method, environmental factors, material factors, construction factors and maintenance factors in the concrete hydration process are fully combined, the application scene is more comprehensive, and the accuracy is higher.

The invention relates to the technical field of hydrogen production, in particular to a bipolar plate runner structure-mass transfer efficiency parameter simulation optimization method. Comprising the steps that a flow channel structure is designed, specifically, a bipolar plate flow channel is constructed through a fractal tree-shaped network topological structure, the flow channel is composed of multiple stages of branch channels, the section size of each stage of branch channel is decreased progressively according to a self-similarity proportion, and a three-dimensional flow channel network with fractal dimensions is formed; multi-physics field coupling modeling: establishing a multi-physics field coupling model including fluid flow, electrochemical reaction and heat and mass transfer based on computational fluid mechanics and a finite element method, wherein the model considers a turbulence effect in a flow channel, interface impedance of a porous medium diffusion layer and reaction kinetic parameters at the same time; parameter sensitivity analysis: screening key parameters influencing mass transfer efficiency through orthogonal test design, including flow channel fractal dimension, branch angle, porosity and surface wettability parameters, and constructing a parameter response curved surface; the flow channel structure of the bipolar plate can be accurately optimized, and the mass transfer efficiency is effectively improved.

The invention provides a high earth and rockfill dam digital twinborn model construction method, and belongs to the technical field of high earth and rockfill dam health monitoring, and the method comprises the steps: constructing a measuring point monitoring model based on sensor monitoring data; constructing a mapping model, and constructing a mapping model dynamic monitoring loss function for adversarial training by adopting a domain adaptive method; inputting predicted values of deformation monitoring effect quantity and osmotic pressure monitoring quantity of the measuring point monitoring model on the seepage process and the deformation process of the high earth and rockfill dam into the mapping model to obtain a digital twinborn model, and constructing an extreme working condition digital twinborn model based on the digital twinborn model; knowledge graph reasoning is combined with a dam slope stability coefficient to realize interaction of an extreme working condition digital twinning model and a solid model, and the high earth and rockfill dam deformation-seepage digital twinning framework is proposed for the first time on the basis of deep learning and finite element methods so as to realize a more economical, efficient and reliable monitoring scheme. And technical support is provided for health monitoring of the high earth and rockfill dam structure in the future.

The invention provides a numerical calculation method for double-explosion-source underwater explosion impact cavitation loads, and belongs to the technical field of computer data processing-based explosion impact wave calculation, and the method comprises the following steps: solving a propagation process of far-field underwater double-explosion-source explosion impact waves in a two-dimensional acoustic flow field by using a local discontinuous Galerkin (LDG) method; and the cavitation characteristics of the flow field under the action of the double-explosion-source underwater explosion shock waves are researched. A flow field dynamic pressure result calculated by the method is compared with a result calculated by an acoustic finite element method. The result shows that the flow field dynamic pressure result calculated by the method is well matched with the calculation result data of the acoustic finite element method, and the effectiveness and the accuracy of the method are verified.

The invention discloses an ice lake feedback monitoring and early warning method based on artificial intelligence and multi-source data fusion, and belongs to the technical field of natural disaster monitoring, and the method specifically comprises the steps: extracting ice lake state feature vectors of multiple spatio-temporal data through cross-modal self-supervised learning, and constructing a three-dimensional virtual ice lake model; based on the feature vectors, constructing a glacier three-dimensional stress field model by using a finite element method, constructing a seepage channel graph model by using a graph neural network, and fusing the features of the glacier three-dimensional stress field model and the seepage channel graph model to form mechanical-seepage coupling state vectors; constructing a pulse neural network to simulate glacier fracture extension and seepage mutation pulse events; constructing a heterogeneous graph federated architecture and outputting a federated weight matrix in combination with a dynamic weighted aggregation strategy; the federal learning weight and the three-dimensional model output result are fused, the outburst posterior probability is calculated through a Bayesian neural network, and a fourth-level early warning signal is generated; according to the invention, the multi-dimensional characterization and coupling process simulation of the state of the ice lake is realized, and the early warning accuracy and timeliness are improved.

The invention discloses an engine turbine shaft sequential optimization design method based on ensemble learning, and the method comprises the steps: carrying out the parametric modeling of an aero-engine turbine shaft through employing a finite element method, and determining a design variable; determining an optimized objective function and constraint conditions based on the turbine shaft structure; constructing a training point set by using the target function and the constraint condition, and establishing an ensemble learning agent model by using the training point set through an ensemble learning algorithm; executing a sequential optimization design process based on the ensemble learning agent model; searching a current optimal sequence design point by utilizing an intelligent algorithm and a sequential updating criterion, and judging whether the sequence design point meets a threshold value requirement or not; if the current optimal sequence design point meets the threshold requirement, outputting the current optimal sequence design point as a design result; otherwise, adding the sequence design points as new training points into the training point set to update the training point set, updating the ensemble learning agent model by using the updated training point set, and iteratively calculating the sequence design points.

The invention provides a bridge concrete strength detection method based on a pigeon inspired algorithm and an inversion theory, which comprises the following steps: establishing a two-dimensional concrete slab model of a railway overpass, and carrying out discretization modeling by adopting a finite element method; on the premise that initial parameters and boundary conditions are known, numerical analysis is conducted on the model, and the temperature field distribution situation of the concrete structure is obtained; carrying out optimization inversion on the temperature field data through a pigeon inspired algorithm, and constructing an objective function in combination with the existing concrete temperature field data, so as to invert the temperature distribution in the concrete; and evaluating the strength of the concrete based on the internal temperature data of the concrete, the cement hydration heat release characteristic and the transmissivity curve. The method has the beneficial effects that nondestructive testing of the internal temperature of the concrete is realized, so that the slump is accurately judged, the strength is accurately evaluated, and the problems that in the prior art, only the strength can be roughly judged, and damage to different degrees of a concrete structure cannot be effectively recognized are solved.

The invention provides a generative and interpretable artificial intelligence-based layering design criterion mining method. The method mainly comprises the following steps of: (1) generating a training data set through a finite element method; (2) establishing and training a generative model; (3) establishing and training a symbol regression model; and (4) summarizing a layering design criterion. According to the method, through a data driving thought, a comprehensive composite material layer design rule aiming at a specific design target is mined from big data meeting design requirements.

The invention provides a digital rock core equivalent characteristic parameter prediction method based on voxel and point cloud combination. The method specifically comprises the following steps: calculating equivalent characteristic parameters of a digital rock core by using a finite element method and a lattice Boltzmann method; and converting the pore and matrix contact surface into a point cloud data set. And calculating point cloud feature parameters. A point cloud information constrained multi-gating multi-expert hybrid prediction network is constructed, and a same variance uncertainty loss function is constructed. And training the prediction network by taking the bulk modulus, the shear modulus, the longitudinal wave velocity, the transverse wave velocity, the porosity, the density and the permeability as prediction targets until the loss function is converged. According to the technical scheme, the problems that crosstalk is generated between tasks and the prediction precision is low when digital core equivalent characteristics are predicted through multiple parameters in the prior art are solved.

The invention discloses a fluid distribution dynamic regulation and control method and device based on a shale reservoir microstructure, and relates to the technical field of oil and gas exploitation. The method comprises the steps that microstructure parameters of a target shale reservoir are obtained through a core experiment, and a multi-scale model is constructed based on the microstructure parameters; determining control equations of different physical fields of the multi-scale model; coupling the control equations of different physical fields, and resolving through a finite element method; performing a numerical simulation experiment based on the multi-scale model and the resolving result to determine regulation and control parameters; the regulation and control parameters are input into the multi-scale optimization model to optimize the regulation and control parameters, and a regulation and control strategy is obtained. The problems that an existing displacement experiment is single, the complex interaction process under the actual mining environment is not comprehensively considered, and the guiding effect on mining work is limited are solved. Business personnel can be guided to formulate a development scheme more scientifically and accurately, the mining efficiency and the success rate are improved, the development cost can be reduced, and meanwhile economic benefits are improved.

The invention discloses a slope instability whole process calculation method, system and equipment based on a particle method. The method is based on a smoothed particle hydrodynamics (SPH) particle calculation method, combines a Riemannian large deformation theory, and realizes landslide simulation under a regional scale through a C + + / CUDA writing program. According to the method, the whole process of generation, connection, starting and accumulation of the sliding surface can be truly represented, the influence mechanism of rock and earth mass properties such as an internal friction angle, cohesion, particle size, elasticity modulus and Poisson's ratio on the landslide process can be analyzed, meanwhile, through a parallel heterogeneous CPU / GPU programming architecture, the calculation efficiency is improved by nearly a hundreds of times compared with the traditional CPU programming efficiency, and the calculation cost is greatly reduced. The watershed scale landslide flow velocity and accumulation range prediction is realized, the adaptability is very high, the defect that discrete element and finite element methods are limited by simulation scale and calculation efficiency is overcome, and a new thought is provided for large-scale landslide disaster prediction.

The invention provides a shale gas reservoir pressure fracture network expansion numerical simulation method, which comprises the following steps of: performing multi-layer coring scanning on a shale gas reservoir, and constructing a three-dimensional digital core model; constructing digital core flow numerical simulation by adopting a lattice Boltzmann method to obtain flow physical parameters; constructing digital rock core strain simulation by adopting a finite element method to obtain rock mechanical parameters; establishing a shale gas reservoir complex fracture network expansion mathematical model by considering a fluid-solid coupling effect, and constructing a numerical solution algorithm by combining a finite element method and a finite volume method; constructing a quantitative characterization method for the shape of the fracture network after pressing, and evaluating the size and complexity of the transformed fracture network; the method fills the gap of fracturing simulation technology research, and has the characteristics of high calculation precision, short calculation period and low cost.

The invention discloses a parallel computing simulation method for thermal exploitation of a buried pipe well group in a geothermal reservoir, which comprises the following steps of: dispersing a grid volume unit of a buried pipe by adopting a parallel finite element unit method, and simplifying the buried pipe and circulating fluid in the pipe into a one-dimensional linear finite element unit; constructing a plurality of pipeline flow models arranged in an array, and combining the in-pipe one-dimensional linear units and the out-pipe three-dimensional volume units to obtain a well group type pipeline flow geometric model; a parallel finite element unit method is adopted to be combined with a non-isothermal pipeline flow physical field, an underground water seepage physical field and a porous medium heat transfer physical field to conduct multi-physical-field coupling, and a well group type pipeline flow numerical model is obtained; fluid flow and convective heat transfer in the buried pipe and pipe wall heat conduction are solved in a combined mode; and performing factor sensitivity analysis by changing different thermophysical parameters of the rock-soil body and heat exchange characteristic factors of the buried pipe well group. The invention provides a new method for researching fluid flowing and heat transfer behaviors of the buried pipe well group, and provides a new idea for optimal design and efficient simulation of thermal exploitation of the buried pipe well group in a geothermal reservoir.

The invention discloses a spiral acoustic black hole dynamic vibration absorption calculation method based on a reduced multi-body system transfer matrix method. Based on a reduced multi-body system transfer matrix method, a dynamic model of a combined system formed after a main structure is additionally provided with a spiral acoustic black hole vibration absorber is established, and therefore the characteristic frequency and steady-state response of the dynamic model are obtained through solving. Compared with a finite element method, the method has the advantages of high calculation precision and high calculation speed.

The invention relates to the technical field of multi-physics coupling, in particular to a multi-physics field coupling parameterized model establishment method, which comprises the following steps of: establishing a basic equation of each physics field through a physical law and a mathematical principle, and embedding coupling parameters in the equation to describe an interaction relationship among the multiple physics fields to form a coupling equation set; further adopting a finite element method or a finite difference method to solve the model, improving the calculation precision of an interface area through an adaptive grid encryption technology, and combining sensitivity analysis, a gradient descent method or a genetic algorithm to carry out iterative optimization on key parameters; the accuracy of the model is verified through comparison of an experiment and a simulation result, and if a significant difference exists, nonlinear coupling parameters are dynamically adjusted, so that calibration and reliability improvement of the model are realized. Through the reasonable method and steps, an accurate and reliable parameterized model with practical application value is established, so that the complex multi-physics field coupling problem is better understood and solved, and the calculation efficiency is improved.

The invention discloses a digital twinborn model construction and life prediction method for pressure vessel defect data, and belongs to the technical field of pressure vessel safety assessment, and the method comprises the following steps: a defect topological graph construction and feature extraction step: converting defect space distribution into a graph structure, and extracting features by adopting a graph attention network; a crack propagation physical constraint modeling step: predicting a defect propagation behavior by adopting a physical information constraint neural network; an uncertainty quantification and reliability evaluation step: calculating a confidence interval and a failure probability of the residual life by adopting a Monte Carlo Dropout method; the model parameters are dynamically adjusted through an online learning mechanism, high-precision real-time prediction of defect evolution and reliability evaluation of the residual life are achieved, and the calculation efficiency is improved by more than two orders of magnitude compared with a traditional finite element method.

The present invention discloses a method for predicting fracture morphology considering interlayer weak planes, comprising the following steps: establishing a three-dimensional geological model according to the formation parameters of the actual interactive strata obtained; establishing a rock seepage-stress coupling model based on the stress balance equation, the continuity equation and the boundary conditions; determining the fracture extension and expansion criterion; inputting the fracturing well parameters of the target well area, establishing a three-dimensional full coupling model for fracturing; simulating the influence of different geological factors and engineering factors on fracture morphology. The present invention is based on the finite element method, establishes a full three-dimensional seepage-stress coupling model, uses the Cohesive pore pressure unit to preset two fracture surfaces, considers interlayer weak planes or bedding weak planes, studies the influence of different geological factors and engineering factors on fracture morphology, can quickly predict the fracture morphology during the fracturing of reservoirs containing interlayer weak planes and guide the design of fracturing construction parameters.

The invention belongs to the technical field of electromagnetic exploration and numerical simulation. According to the ultra-wide-band electromagnetic method anisotropic medium three-dimensional forward modeling simulation method and system, on the basis of a vector finite element method, electric field equations of unified traditional current and displacement current are discretized, influences of any anisotropic conductivity, any anisotropic dielectric constant and magnetic conductivity are fully considered, and the three-dimensional forward modeling simulation of the anisotropic medium based on the electromagnetic method is achieved. And a basis is provided for theoretical research, field investigation and data inversion of an ultra-wideband electromagnetic method.

The disclosure provides a construction method including steps of: constructing a detailed model and a simplified model of the rail vehicle using finite element method based on the three-dimensional structure of the rail vehicle; initially setting the simplified model in accordance with the detailed model, including specifying materials, mechanical properties parameters, and mass point; setting different simplification thickness ratio to obtain a plurality of sets of the simplified models, designing longitudinal and lateral collision conditions, and in each type of the collision conditions, performing collision simulations on the detailed model and each set of the simplified models under each thickness ratio to obtain respective collision response curves; calculating a total CORA value corresponding to the plurality of sets of the simplified models; selecting an optimal simplified model from n sets of the simplified models with the highest total CORA values.

A method for optimizing a manufacturing process includes arranging a finite element method simulation model, a microstructure model, and a material model in a closed loop. The method includes performing an iterative simulation process to determine a simulated output of the manufacturing process. The iterative simulation process includes performing a plurality of iterations. Each of the plurality of iterations includes the steps of: determining, by the finite element method simulation model, a plurality of thermomechanical parameters based on a plurality of process parameters and a plurality of previous predicted material properties; determining, by the microstructure model, a predicted change in a microstructure based on the plurality of thermomechanical parameters; and determining, by the material model, a plurality of current predicted material properties based on the predicted change in the microstructure.

The invention relates to a finite element method for calculating temperature distribution of a steel strip in a continuous hot galvanizing process, and belongs to the technical field of hot galvanizing methods. According to the technical scheme, the method comprises the steps that relevant sizes and technological parameters of a continuous hot galvanizing production line are obtained; model establishment and grid division are conducted, a three-dimensional model is established according to the related size, the model comprises molten zinc and a steel belt, and the molten zinc and the steel belt are set to be solid models; and setting boundary conditions, performing heat exchange calculation, and processing a calculation result. The method has the beneficial effects that the method is used for analyzing the temperature distribution of the steel strip in the hot galvanizing process and analyzing the flow field and the temperature field of molten zinc; and the change of working condition parameters such as the temperature of the steel brought into the zinc pot, the moving speed of the steel strip, the thickness and width of the steel strip, the temperature and depth of molten zinc and the like is accurately responded, so that the optimization of the continuous hot galvanizing process is guided.

The invention provides a concrete deformation prediction method and device based on a multi-field coupling model, and relates to the technical field of concrete structure engineering and multi-physics field coupling computation.The method comprises the steps that main variables of a hydration reaction field, a temperature field and a humidity field are discretized through a finite element method, and the discretized main variables are obtained; establishing a control equation and carrying out time stepping solution; calculating the evolution of a hydration reaction field by using a Newton-Raphson iteration method, and solving temperature and humidity distribution based on boundary conditions and a numerical integration method; by setting convergence error tolerance, whether calculation reaches balance or not is judged, and finally temperature deformation and humidity deformation distribution in the concrete is obtained. According to the method, accurate deformation prediction of the concrete structure in the hydration reaction process is achieved, error accumulation caused by single-field calculation in a traditional method is avoided, and calculation precision and engineering applicability are improved.

The present invention discloses a multi-objective thermal-fluid topological design optimization method for the cooling element of a precision gear grinding machine tool, comprising the following steps: Step 1: Define the design domain: Expand the cooling element into a plane, define a two-dimensional design domain representing the cooling element's geometric structure, and discretize it using the finite element method; Step 2: Numerical modeling: Model the cooling element as a porous medium; Under the conditions of laminar incompressible flow, the fluid dynamics are governed by the dimensionless forms of the continuity equation and the momentum equation; The fluid-solid coupled heat transfer model is governed by the dimensionless energy conservation equation; Step 3: Construct an objective function: The optimization objective is defined as a weighted function of heat transfer and fluid dissipated power, and a fluid-solid heat transfer topological optimization model is constructed; Step 4: Solve the objective function; Step 5: Restore the shape and structure of the cooling element. The present invention also discloses a precision gear grinding machine tool and a cooling element.

The invention provides a mining electric shovel working device health detection method based on multidisciplinary digital twinning, and the method comprises the steps: obtaining attitude data through employing a Latin hypercube sampling method; performing electric shovel simulation by using discrete element and finite element methods, and further obtaining a data set required for neural network training; training and testing the LSTM neural network and the RBF neural network by using the data set, and constructing a mining load prediction model and a mining stress prediction model; constructing a digital twinborn model by using a tilt angle sensor, a stay wire encoder and the virtual model; a laser radar is used for scanning the terrain, the material mass is calculated and obtained, the load and stress of data are sequentially predicted through a neural network model, the stress is transmitted to a digital twinborn model, and real-time monitoring is achieved in a color rendering mode. According to the mining electric shovel, the stress change of the working device is displayed in real time in the working process of the mining electric shovel, and the early warning capacity of the mining electric shovel when excavation exceeds the stress safety range in the complex working environment is improved.

The invention provides a method and a system for predicting the frictional wear residual size of a transmission line connection fitting, and the method comprises the steps: calculating the maximum wind speed and swing angle of the connection fitting through the data of a meteorological database and an engineering design data database, and simulating the wear process of the transmission line fitting through a finite element method. The method comprises the steps of obtaining a change relation of the abrasion loss of the connection hardware fitting along with the abrasion frequency, determining the average swing frequency of the hardware fitting according to the current operation and maintenance result of the connection hardware fitting, and predicting the remaining size of the hardware fitting after n years on the basis of the assumption that the connection hardware fitting operates according to the same swing frequency. The method and the system can scientifically and reasonably evaluate the service life of the power transmission line connection hardware fitting, and avoid careless mistakes caused by the fact that the worn hardware fitting is found only through sense organs of people in a traditional manual inspection mode.

The invention relates to the technical field of urban flood control and drainage, and discloses an urban inland inundation rainfall flood data assimilation method and system and a storage medium. The method comprises the steps of obtaining rainfall, flow and surface elevation data from multi-source hydrological observation data, and obtaining a multi-source data set after preprocessing; hydrological parameters are extracted based on the data set, and the influence weight of the hydrological parameters on the submerging range is analyzed and determined in combination with parameter sensitivity; updating the key hydrological parameters through a filtering algorithm to obtain a refined hydrological parameter set; a terrain gradient analysis and prediction algorithm is combined to establish a prediction model of a submerging boundary change rate, and an inversion time interval is dynamically adjusted; the surface elevation is corrected in real time through a finite element method, and the submerging prediction precision is improved; and further optimizing the hydrological parameters according to the real-time prediction result, and generating a drainage scheduling decision instruction. The method has high accuracy and real-time performance, scientific and effective decision support can be provided for an urban flood control and drainage system, and the emergency response capability is remarkably improved.

A method for simulating heat storage of a buried pipe well group in a geothermal reservoir adopts staggered arrangement to replace traditional sequential arrangement, so that the distance between buried pipes is more reasonable, heat interference is minimized, the volume shape of the buried pipes is simplified into a linear unit structure, pipeline volume units are dispersed by adopting a finite element method based on various theories, and the heat storage efficiency of the buried pipe well group is improved. The calculated amount is reduced; and fluid heat transfer characteristics in the pipeline are accurately captured. Then setting soil initial temperature field distribution and initial parameters of fluid in a buried pipeline unit, solving a pipeline unit model by adopting a proper numerical calculation method, and performing real-time monitoring to ensure that a calculation result is stable and accurate; factor sensitivity analysis is carried out by changing in-well parameters and operation parameters, the influence of rock-soil body thermophysical parameters and buried pipe heat exchange characteristic factors on the geothermal reservoir thermal exploitation efficiency is comprehensively researched, and a scientific basis is provided for optimal design and operation of a buried pipe well group. The invention further comprises a system, equipment and a storage medium for implementing the method.

The invention discloses an interval field finite element method based on a Chebyshev polynomial, and relates to the technical field of structural uncertainty analysis, and the method comprises the steps: obtaining a fluctuation range of uncertainty parameters of a to-be-tested structural member; constructing an interval field model based on a B spline principle; determining an interval field of the uncertain parameters based on the fluctuation range of the uncertain parameters and an interval field model; determining nodes and units of the structural member by adopting a finite element method, and establishing a finite element control equation; determining a response interval of the uncertainty parameters based on the interval field of the uncertainty parameters and the finite element control equation; and performing approximation processing on the response interval of the uncertainty parameter by adopting a Chebyshev polynomial to obtain a Chebyshev polynomial approximation function, solving the upper and lower bounds of the response by adopting an SQP algorithm, and determining the response interval of the structural member, so that the uncertainty analysis of the structural member can be completed under the condition of ensuring the precision and the calculation efficiency, and the reliability of the structural member is improved. And performing security assessment.

The invention provides a freezing reinforcement project evaluation system and method based on hydrothermal coupling numerical model simulation, and relates to the technical field of computers and frozen soil engineering.According to the freezing reinforcement project evaluation system and method based on hydrothermal coupling numerical model simulation, a water flow equation and a heat transfer equation are established, and corresponding boundary and initial conditions are set; dividing a frozen soil reinforcement area into finite elements, discretizing an equation by utilizing a finite element method, iterating a global equation through a numerical solution method, simulating moisture and temperature changes in a freezing process, extracting key indexes, generating a freezing reinforcement energy efficiency index, comparing the freezing reinforcement energy efficiency index with a set efficiency interval, and evaluating a reinforcement engineering effect. And corresponding optimization suggestions are provided. According to the method, effective evaluation and optimization of the freezing reinforcement project are realized by establishing the hydrothermal coupling numerical model.

The invention relates to the technical field of hydrographic survey, in particular to a riverway water flow calculation method, which comprises the following steps: acquiring topographic data, hydrological data and roughness data, and constructing a one-dimensional riverway hydrodynamic numerical model; the one-dimensional river channel hydrodynamic numerical model is based on a discontinuous finite element method and a Runge-Kutta time discrete shallow water equation set, and a numerical flux is solved by combining an essential oscillation-free ENO slope limiter and an HLL Riemann solver; aiming at the confluence situation of tributaries in different intervals, the interval flow is calculated by utilizing an iterative method, including initially assuming that the tributary flow is zero, simulating non-tributary outflow by using a one-dimensional river hydrodynamic numerical model, determining the difference between the simulated non-tributary outflow and actual site flow measurement, and adjusting the tributary flow; and iteration is repeated until the error between the simulated outlet flow and the actual outlet flow reaches the preset precision. By constructing a one-dimensional river water power numerical model based on a Runge-Kutta time discrete shallow water equation set, high-precision simulation of river water flow calculation under the condition of branch flow convergence in different intervals is realized.