55 results about "Energy method" patented technology

The invention relates to the technical field of tunnel engineering design, and discloses a comprehensive evaluation method and system for longitudinal deformation of a shield tunnel, and the method comprises the steps: obtaining a target shield tunnel analysis calculation parameter; based on the target shield tunnel analytical calculation parameters and the target shield soil analytical calculation parameters, constructing a first shield tunnel stress calculation model to calculate additional stress at the axis of the target shield tunnel; constructing an additional stress work equation at the axis of the target shield tunnel to obtain the total work of the target shield tunnel under stress; constructing a second shield tunnel longitudinal deformation calculation model based on an energy method to obtain a longitudinal displacement field at the axis of the target shield tunnel; constructing a third shield lining performance nonlinear degradation model to obtain an evaluation index of the longitudinal deformation of the target shield tunnel; evaluating the longitudinal deformation of the target shield tunnel based on the evaluation index; the tunnel longitudinal deformation evaluation method solves the problems that an existing tunnel longitudinal deformation evaluation method is single in consideration of influence factors and poor in evaluation accuracy.

The invention discloses an efficient low-energy-consumption non-oriented silicon steel magnetic performance optimization and production method, and belongs to the technical field of metallurgy. Comprising the following steps: 1) designing components in percentage by mass; (2) the process steps are as follows: smelting and continuous casting; hot rolling; selective normalizing; cooling control; cold rolling and annealing: the total reduction rate is 70%-85%, the annealing adopts a two-stage manner, the front stage adopts a wet atmosphere of 850 + / -10 DEG C, and the rear stage adopts a dry atmosphere of 950 + / -10 DEG C; according to the efficient production method of the non-oriented silicon steel, through component design and process collaborative optimization, the magnetic performance is improved while energy consumption of the normalizing procedure is reduced, and the efficient production method is especially suitable for high-grade products.

The present invention relates to a method and system for predicting the buckling load of scour-damaged bridges based on machine learning, and belongs to the field of machine learning and structural engineering technology. The prediction method includes: raw data acquisition, raw data preprocessing, construction of a LightGBM machine learning model, and evaluation and verification of the constructed model using a variety of performance evaluation indicators. The present invention comprehensively considers key variables such as bridge structural parameters and foundation soil physical properties, constructs a large sample database covering a large number of scour combinations, and utilizes an energy-based buckling analysis method for the pier-cap-pile structure system after scour damage to accurately calculate the critical buckling load of the structure as the output target. Combined with an integrated learning algorithm, a multivariate nonlinear mapping relationship is established to replace traditional complex calculations. It has good engineering adaptability and universality, and can be applied to rapid prediction of buckling bearing capacity under different parameter bridges, different foundation forms and complex scour conditions.

The application discloses a kind of wind turbine single blade installation process dynamic response analysis methods considering wind load action, comprising: according to the wind turbine blade installed and construction sea area, establish blade airfoil database and turbulent wind field database;When the position of lifting point and the position of tappet vertex are described, homogeneous transformation matrix is used to describe the motion of each mechanism of ship-mounted crane;When the position of lifting point is described, the position of tappet vertex is described, and the position of blade centroid in space is described by lifting point position, sling length and generalized coordinate;Wind load at each time point in the process of blade installation is obtained;The sling tension in the process of blade installation is obtained;The dynamics model of single blade installation system is established by using Lagrange method;The method can accurately analyze the coupling motion response between crane ship, ship-mounted crane, sling and blade in the installation process, and simultaneously by selecting generalized coordinate and modeling and analyzing the system based on energy method, the system modeling efficiency is effectively improved.

The invention relates to an engine component fatigue life evaluation method based on a structural simulation part, and belongs to the technical field of simulation data processing, and the method comprises the following steps: building a tensile strain energy life prediction model based on elastic strain energy and plastic strain energy, and predicting the fatigue life of a structural part based on the model; optimizing the design parameters of the simulation part of the engine component, manufacturing the simulation part based on the design parameters, performing a low-cycle fatigue test on the simulation part, and analyzing the fatigue life of the simulation part; comparing the fatigue life of the simulation part with the predicted fatigue life of the structural part, and if the requirements are not met, re-optimizing the design parameters of the simulation part; and if the requirement is met, outputting the fatigue life of the structural member. According to the method, the fatigue life of the simulation part is compared with the predicted fatigue life of the structural part, the model is further improved, a closed-loop research method is formed, the accuracy and efficiency of fatigue life prediction are improved, the limitation of a traditional hysteresis energy method is overcome, and the research cost and period are reduced.

The invention discloses a power system oscillation traceability analysis method and system based on multi-method probability fusion, which can effectively solve the problem of oscillation source positioning error caused by sparse measurement data and compressed sensing. Firstly, the oscillation source probability of each node is calculated through an oscillation energy method, a frequency spectrum characteristic method, a correlation analysis method, a voltage fluctuation method and a phase angle gradient method; secondly, calculating the adaptive weight of each method based on an information entropy theory, and completing multi-method probability fusion; the fusion probability is optimized in combination with a power grid topological structure, and an oscillation source candidate sequence is determined; and finally, a comprehensive probability distribution diagram and a detailed analysis report are output through a visual module, and reliable technical support is provided for safe and stable operation of a power system.

The invention discloses a high-overload gyroscope impact resistance design method based on a multi-section trial function energy method, and belongs to the technical field of micro electro mechanical system structure design. Comprising the following steps: constructing a physical model; establishing a trial function; calculating out-of-plane bending flexibility of the novel structural beam; introducing a torsion correction term and an outer frame equivalent flexibility; the flexibility is accumulated, and the reciprocal is taken to obtain the out-of-plane total rigidity; and the out-of-plane rigidity is applied to construction of an impact kinetic equation. A traditional Euler-Bernoulli beam theory cannot effectively consider the influence of rigidity coupling and torsional deformation of multiple sections of beams and the rigidity of an outer frame on the overall rigidity of a structure. According to the method, the out-of-plane equivalent stiffness of the novel structural beam and outer frame combined structure can be quickly estimated and obtained, the obtained stiffness parameter is applied to dynamic characteristic analysis of the gyroscope, and effective theoretical support is provided for design and engineering application of the novel structural beam structure of the high-overload gyroscope in the out-of-plane direction.

The application relates to the motor technical field and is a method for changing the slot torque of a permanent magnet synchronous motor. First, a slot torque expression based on an energy method is established, and a distribution function relationship expression before and after the change of the air gap length is derived; second, a motor model is established, the tooth crest height is changed, the air gap length is increased, and the slot torque is weakened; finally, the air gap length of the motor is further optimized through arc cutting of the tooth tip, and the slot torque is further weakened. Since the motor also affects other performances during optimization, the output torque and loss before and after optimization are compared and analyzed, the output torque is reduced, the loss is increased by less than 0.5%, and the efficiency and power of the motor are ensured.

The present invention discloses an energy management method for an electric flywheel hybrid vehicle based on multi-agent deep reinforcement learning, which belongs to the field of energy management for new energy commercial vehicles. The purpose of the present invention is to use a multi-agent deep reinforcement learning strategy to achieve efficient coordinated control between the main drive motor, the control motor and the flywheel, reduce battery energy consumption, and improve the economy and overall performance of the vehicle. The present invention mainly includes: constructing a model of an electric flywheel hybrid vehicle; defining six working modes; designing a multi-agent energy management method, and setting the state variables, action variables and reward functions required by the deep reinforcement learning SAC algorithm and PPO algorithm. Under standard working conditions, the multi-agent is trained to obtain the corresponding energy management method to achieve real-time energy management of the target vehicle. By applying the multi-agent deep reinforcement learning algorithm to the energy method of an electric flywheel hybrid vehicle, the battery energy consumption is reduced while ensuring the performance of the entire vehicle.

The present application relates to the field of tunnel engineering, and specifically discloses a method and system for fine prediction of rock burst grade in tunnel construction stage by drill and blast method, comprising the following steps: constructing a basic sample library; establishing a mapping relationship between drilling parameters and first principal stress, second principal stress, third principal stress, elastic modulus and Poisson's ratio and other surrounding rock mechanical parameters based on energy method; constructing an extended sample library based on the mapping relationship and the basic sample library; constructing an intelligent rock burst grade prediction model based on deep learning, and bringing the extended sample library into the intelligent rock burst grade prediction model for training; and fine prediction of rock burst grade in front of the tunnel face according to the constructed intelligent rock burst grade prediction model. The present application can effectively reduce the input of construction personnel and prevent the impact of rock burst on the safety of construction personnel, and guide the intelligent construction of tunnels.

This invention belongs to the field of dynamic modeling of vacuum manipulators, specifically a rigid-flexible coupling modeling and analysis method for vacuum manipulators. The method includes: using a rigid body model to describe the arm and a string model from the continuum domain to describe the steel strip. The rigid body is a finite-degree-of-freedom system, while the continuum is an infinite-degree-of-freedom system. A global space discretization method is used to discretize the infinite-degree-of-freedom system into a finite-degree-of-freedom system. Then, the two finite-degree-of-freedom systems are systematically integrated to obtain the rigid-flexible coupling dynamic equations of the vacuum manipulator. This invention establishes a system dynamic model based on the energy method, with a clear approach, and provides a good solution for dynamic modeling of rigid-flexible coupling systems. It solves the problem that vacuum manipulators lack end-point real-time sensing and cannot perceive the system state in real time to provide state feedback for control.

The application aims to provide an improved method for considering the lateral stiffness and the corner stiffness of the spline coupling with misalignment, comprising the following steps: establishing a schematic diagram of the load and deformation of the misaligned spline coupling, deducing the load and deformation balance equation of the misaligned spline engagement state according to the deformation geometry of the misaligned spline; deducing the single-tooth engagement stiffness according to the energy method, correcting the gear tooth engagement stiffness; bringing the single-tooth engagement stiffness of the spline obtained in step (2) into the engagement force balance equation obtained in step (1), and calculating the lateral stiffness and the corner stiffness of the misaligned spline coupling. Through comparison with the finite element results, the calculation results of the application are more efficient, and the vacancy of the calculation method of the lateral stiffness and the corner stiffness of the spline coupling under the misalignment condition at the present stage is made up.

The application provides a distributed line selection and positioning method, which synchronously and high-speed collects zero sequence voltage, zero sequence current and / or three-phase current on each power supply section, carries out zero sequence transient energy method and / or three-phase current transient correlation method analysis, determines a grounding line and positions a grounding fault section; each power supply section on the grounding line is differentially delayed and tripped by a power receiving end phase power supply end, when the fault section is tripped and the fault disappears, all power supply sections before the fault section stop timing, after the fault section isolation time reaches, the power supply of the fault section is restored through reclosing, if the fault is a transient fault, the power supply of the line on the fault section can be restored; if the fault is a permanent fault, the fault section is removed again through post-acceleration, and the permanent isolation of the fault is realized. The application realizes accurate positioning and reliable isolation of a single-phase grounding fault section, guarantees the reliability and safety of power supply, and improves the stability of power distribution network operation.

The invention provides a rapid prediction method for high-temperature yield strength of an orthotropic metal material. The method comprises the following steps: establishing an expression of material distortion energy density based on an equivalent energy method; deducing a specific expression of distortion energy density based on a stress-strain component by considering a uniaxial tensile stress state and orthoanisotropy of the material; calculating to obtain a key constant value under a uniaxial tensile stress state and a material melting temperature; and finally, deriving a high-temperature yield strength expression of the material in different directions. According to the method, a small number of parameters such as the elastic constant and the specific heat capacity which can be quickly obtained through table look-up are used as input, the yield strength values of the orthotropic material at different temperatures can be quickly predicted, and high cost caused by high-temperature tests of a large number of materials can be avoided; and a fast and efficient yield strength prediction mode is provided for material high-temperature performance prediction and structure high-temperature strength check in practical engineering.

The invention discloses a bamboo grating sandwich panel and a bearing capacity calculation method thereof, and the method comprises the steps: calculating the local buckling bearing capacity of a solid sandwich panel component based on an energy method, and calculating the elastic modulus and shear modulus of a core body through an equivalent method; a correction coefficient related to the length-width ratio is introduced in combination with the orthotropic property of the panel material and the influence of the length on the local buckling bearing capacity, and a local buckling bearing capacity calculation formula is obtained through derivation; according to the method for calculating the overall buckling bearing capacity of the compression component based on the Euler buckling formula, the influence of shear deformation of a core body and orthotropic anisotropy of a panel material are comprehensively considered, and a calculation formula of the overall buckling bearing capacity of the bamboo grating sandwich panel under the in-plane axis compression effect is established. According to the method, stress characteristics and failure modes of the bamboo grating sandwich boards with different lengths under the in-plane axial pressure effect can be analyzed, and certain theoretical guidance is provided for research and application of the bamboo grating sandwich boards.

The invention relates to the technical field of computational fluid mechanics and aeroelastic flutter calculation, and particularly discloses an aerofoil flutter calculation method based on an energy method.The aerofoil flutter calculation method comprises the steps that CFD grids and structural modal data of flow field calculation are prepared, and pretreatment such as modal interpolation is carried out; giving a generalized displacement motion law of a certain order mode, and setting other modes as coupling calculation; starting unsteady flow field calculation; for a mode with a given motion law, calculating generalized coordinates directly according to a motion law expression; for a coupling calculation mode, a generalized coordinate is obtained by solving a structural motion equation; according to the generalized coordinates, updating the grid through a dynamic grid method; solving the flow field and the structural deformation at the next moment in a loop iteration manner until the calculation is finished; according to the calculated generalized coordinates and the generalized aerodynamic force time history, work done by aerodynamic force in one period is calculated, and whether flutter occurs or not is judged according to whether the aerodynamic force does positive work or not. According to the airfoil flutter calculation method based on the energy method, the maximum vibration amplitude of the airfoil in fluid-structure interaction calculation can be manually controlled, the failure of a dynamic grid under large deformation can be avoided, and the calculation stability is improved; the aerodynamic force nonlinearity in flutter can be simulated; frequent fluid-solid data exchange is not needed, and the calculation efficiency is improved.

The present invention relates to the technical field of permanent magnet motors, and provides a modeling and parameter optimization method and system for a hybrid pole sinusoidal permanent magnet motor. The analytical modeling method includes calculating the no-slot air-gap flux density of the motor under no-load conditions of the motor permanent magnet assembly with different remanences and different sector angles according to the remanence distribution of the motor permanent magnet assembly and the air-gap magnetic field boundary conditions; establishing a relationship between the relative air-gap permeability and the slot opening under no-load conditions according to the stator slot model of the motor, and obtaining the relative air-gap permeability with slots through Fourier decomposition calculation; calculating the air-gap flux density with slots of the motor under no-load conditions in the complex coordinate system according to the no-slot air-gap flux density and the relative air-gap permeability with slots; calculating the cogging torque of the motor by the energy method based on the air-gap flux density with slots of the motor under no-load conditions; at the same time, calculating the no-load back electromotive force of the motor according to the winding distribution and the air-gap flux density with slots, and calculating the output torque by combining the no-load back electromotive force of the motor with the actual driving current to obtain the average torque, torque ripple and torque cost.

A phase control technology-based overvoltage suppression method, apparatus and device, and a storage medium, the method comprising: according to a preset iterative symplectic geometric mode decomposition-difference Hilbert transform model, obtaining transient characteristics from a collected voltage signal; determining a stable zero crossing point according to the transient characteristics; in a preset period of the stable zero crossing point, voltage values and current values at all moments before and after the stable zero crossing point are obtained; according to the voltage value and the current value at each moment before and after the stable zero crossing point, and a preset capacitance value and a preset inductance value, respectively calculating an energy sudden change value at each moment; and determining a minimum energy abrupt change value from the energy abrupt change values of the moments according to a minimum energy method, determining the moment corresponding to the minimum energy abrupt change value as a target moment, and controlling the switch to be switched on so as to suppress overvoltage, thereby solving the problems of large stable zero crossing point detection error, uncertain switch switching-on moment and poor stability in the prior art. And the overvoltage suppression effect is not good.

The present invention discloses a method for calculating the maximum depth of casing drilling based on an energy method, which relates to the field of rock and soil drilling engineering. This method can effectively determine the maximum depth of casing drilling with a down-the-hole hammer. This method adopts the material mechanics energy method theory. When the casing is drilled to the maximum depth, all the impact energy is used to overcome the formation friction, and the formation friction is manifested as a change in the strain energy of the casing. Secondly, the energy method theory is used to propose hypothetical conditions for the conversion of impact energy and casing strain energy when the casing is drilled to the maximum depth. Then, the formation friction resistance is determined based on the contact mode and relative motion mode between the formation and the casing. Both strain energy and impact energy are incremental parameters at a certain moment, without considering parameters such as drilling pressure, torque, buoyancy, and casing deadweight. Only inherent parameters such as casing size and material, dynamic friction between the formation and casing, and rated impact energy of the impactor are involved. This method can eliminate interference from other parameters and greatly improve the reliability of the calculation results.

The invention discloses a method and a system for designing a multi-stage side slope composite retaining structure, aiming at optimizing the design of the retaining structure of a side slope by considering the action of expansive soil. The method disclosed by the invention comprises the following steps: determining the group number of the retaining structures according to the height of the slope, wherein the group number is greater than or equal to 2; wherein at least one retaining structure comprises an anchor rod frame beam and a sheet-pile wall; under the condition that the side slope is not supported, an equation that the sum of gravity external power and expansive soil external power is equal to internal loss power is constructed, and according to an upper limit method for solving a side slope safety coefficient in the equation and basic parameters of a soil body, slip crack surface parameters of the side slope corresponding to the supporting structure at a given critical height are solved; and according to the solved slip crack surface parameters, a load equivalent method and an energy method, the anchor rod tension, the post-pile pressure and the internal force of the inter-pile plate are calculated, and therefore the anchor rod distance of the supporting and retaining structure, the section size of the slide-resistant pile and the inter-pile plate and reinforcing bars are designed.

The application discloses a kind of approximate solving hamiltonian ground state energy method, system and electronic equipment, approximate solving hamiltonian ground state energy method includes: obtaining and preprocessing the hamiltonian to be solved, obtains the set of groups corresponding to hamiltonian;According to group set, generate Clifford operation sequence, and the new hamiltonian is obtained by the action of Clifford operation sequence to group set;According to new hamiltonian, generate energy expression containing variable parameter;Optimize variable parameter in energy expression, obtain the approximate value of the ground state energy of hamiltonian.The application is processed to group set by Clifford operation sequence, obtains new hamiltonian, and generates energy expression containing variable parameter, and then the approximate value of the ground state energy of hamiltonian is obtained by optimizing variable parameter, improve the calculation efficiency, shorten the calculation time, simultaneously, when multiple group dominants exist in hamiltonian, improve the approximate effect, so that the approximate value calculated and the precise value error can be negligible.

The present application relates to the technical field of acoustics, in particular to a method, system and device for predicting the dynamic performance of a composite rectangular plate. The method for predicting the dynamic performance of the composite rectangular plate comprises: setting parameters and elastic boundaries of a numerical model of the composite rectangular plate; establishing a dynamic model of the composite rectangular plate by using an energy method to obtain a Lagrange functional; dividing the composite rectangular plate into units to further obtain a vibration equation; applying forced excitation to the numerical model of the composite rectangular plate to obtain expressions of vibration displacement and vibration velocity of the composite rectangular plate structure; solving the vibration equation to obtain a Fourier coefficient matrix, and substituting the Fourier coefficient matrix into the expressions of the vibration displacement and the vibration velocity to obtain the vibration displacement and the vibration velocity of the composite rectangular plate, thereby realizing the prediction of the dynamic performance of the composite rectangular plate. The method improves the efficiency of predicting the dynamic performance of the composite rectangular plate.

The invention relates to the technical field of tunnel engineering design, and discloses a comprehensive evaluation method and system for the longitudinal deformation of a shield tunnel. The method comprises the following steps: obtaining analytical calculation parameters of a target shield tunnel; constructing a first shield tunnel force calculation model based on the analytical calculation parameters of the target shield tunnel and analytical calculation parameters of a target shield soil to calculate the additional stress at the axis of the target shield tunnel; constructing a work equation for the additional stress at the axis of the target shield tunnel to obtain the total work done by the force on the target shield tunnel; constructing a second shield tunnel longitudinal deformation calculation model based on an energy method to obtain a longitudinal displacement field at the axis of the target shield tunnel; constructing a third shield lining performance nonlinear degradation model to obtain an evaluation index for the longitudinal deformation of the target shield tunnel; and evaluating the longitudinal deformation of the target shield tunnel based on the evaluation index. The method solves the problems of existing tunnel longitudinal deformation evaluation methods in that a single influencing factor is considered and the evaluation accuracy is poor.

The application relates to a solid-state electrolyte prediction screening method and system based on an improved bond valence site energy method, which comprises the following steps: obtaining the crystal structure of a solid-state electrolyte, constructing a three-dimensional calculation grid of a migration ion in a unit cell by using the crystal structure, calculating a global potential energy surface by using an improved BVSE model, and determining a migration energy barrier; the improved BVSE model is obtained by introducing a Coulomb repulsion term between migration ions in an original BVSE model; identifying migration ion sites based on the global potential energy surface, calculating the site energy of each migration ion site, obtaining characteristic Coulomb repulsion energy, and performing equivalent surface analysis and simple harmonic vibration analysis to obtain an equivalent surface surrounding volume and a site vibration frequency; and comparing the migration energy barrier, the characteristic Coulomb repulsion energy, the equivalent surface surrounding volume and the site vibration frequency with preset screening criteria to screen out potential solid-state electrolyte materials. The application can promote high-throughput screening of solid-state electrolyte materials.

The invention relates to the technical field of foundation pit construction, and particularly discloses a foundation pit water pumping induced fence deflection evaluation method based on an energy method.The method comprises the following steps that foundation pit parameters and enclosure wall body parameters of a target foundation pit before excavation are obtained, and a displacement function curve of an enclosure wall body is established based on the foundation pit parameters and the enclosure wall body parameters before excavation; determining a soil pressure calculation model in a non-limit state based on the displacement function curve of the enclosure wall body; according to the displacement function curve of the enclosure wall body and a soil pressure calculation model, soil pressure work, water pressure work and enclosure wall body bending strain energy are calculated; and calculating a predicted value of the deformation of the enclosure wall body caused by rainfall before excavation based on an energy method of a minimum potential energy principle. According to the method, the deformation condition of the enclosure wall body caused by rainfall before excavation of the foundation pit can be accurately predicted, the problem of inaccurate prediction of a method for inducing deformation of the enclosure structure by rainfall before excavation in the prior art can be solved, and technical support is provided for reasonable construction design.

The invention relates to an electromagnetic transient modeling and simulation method for a direct-current isolating switch based on variable capacitance. The method comprises the following steps: step 1, simplifying a three-dimensional geometric model of the direct-current isolating switch; 2, setting material attributes and excitation of a conductor part in the three-dimensional geometric model according to the type of the capacitor to be solved; 3, calculating the distribution of a three-dimensional electric field and a three-dimensional magnetic field of the direct-current isolating switch at different operation moments according to the setting in the step 2 by adopting a finite element method; 4, calculating capacitance values under different solving objects and an equivalent inductance value when the switch is completely closed in finite element software by adopting an electric field energy method and a magnetic field energy method; and 5, performing curve fitting on the capacitance values at the plurality of operation moments calculated in the step 4 to obtain a function relational expression between the capacitance values and the operation time. And 6, carrying out simulation analysis on the electromagnetic transient model of the isolating switch, and verifying the accuracy and effectiveness of the model.

The application provides a side channel energy method, device, storage medium and electronic equipment, and relates to the technical field of information security, and the method comprises the following steps: performing a preset encryption operation on a plurality of randomly selected plaintexts respectively; collecting encryption energy traces generated in the encryption operation process; and cyclically executing the following steps to obtain an overall key of the encryption operation: generating a plurality of key hypothesis values of a certain byte in the overall key; selecting a part of the energy traces corresponding to a certain sampling point of each encryption energy trace to obtain an energy trace set of the sampling point; calculating a Gini impurity index corresponding to each key hypothesis value based on the plurality of key hypothesis values and the energy trace set of the sampling point; and determining the key value of the certain byte in the overall key based on the Gini impurity index. The technical scheme provided by the application can reduce the dependence on attack equipment and energy models, and has high universality and small calculation cost.

The application discloses a method and system for determining seismic energy and ground motion amplification coefficient under complex terrain geological conditions based on energy method and artificial intelligence, and belongs to the technical field of earthquake engineering and geotechnical engineering. The method comprises the following steps: determining the energy of a seismic source; calculating the energy attenuation on the seismic wave propagation path; calculating the energy transformation of different geological interfaces; extracting terrain feature parameters and constructing a training database to train a deep neural network to determine the energy distribution coefficient of a complex combined terrain; predicting the energy distribution coefficient of each point of a target site; combining the incident energy of bedrock to calculate the ground motion amplification coefficient and perform energy conservation correction; and finally outputting an amplification coefficient distribution map. The application combines physical mechanisms with artificial intelligence, can efficiently and accurately predict the ground motion amplification effect of complex combined terrains (such as mountain groups and valleys), and the result conforms to energy conservation, so that the application can provide a scientific basis for seismic zoning and engineering seismic design.

This invention discloses a method for calculating the damage and deformation of a compartment structure under an internal explosion, relating to the field of ship damage and protection technology. The method includes: calculating the local damage area formed by the shock wave load on each compartment wall structure during the explosion; calculating the quasi-static pressure load on the exploded compartment; calculating the maximum overall deflection of each compartment wall structure under the coupled action of the two loads based on the energy method; determining the degree of damage to each compartment wall structure; if overall damage to the wall structure occurs, calculating the quasi-static pressure load on the adjacent damaged compartments, and calculating the maximum overall deflection of each compartment wall structure under the quasi-static pressure load; re-performing the determination of the degree of damage to each compartment wall structure until the deformation and damage status of all compartments is obtained. This method comprehensively considers the coupled loading effect of the two loads on the compartment structure under implosion, enabling rapid and accurate assessment of the damage and deformation status of the compartment structure under an internal explosion.

The present invention discloses a rapid prediction method for the vibration of urban underground track structures based on the energy method, comprising the following steps: constructing the vibration parameters of the track structure; calculating the strain energy and kinetic energy of the track structure; calculating the elastic potential energy between the components of the track structure based on the virtual spring model to form the internal connection energy functional of the track structure; applying an external force at the position of the rail according to the vibration parameters and obtaining the work done by the external force, and combining the strain energy, kinetic energy and energy functional of the track structure to form the total energy functional; variationalizing the total energy functional to obtain the motion characteristic equation of the track structure, inputting the required vibration frequency range to be predicted to obtain the generalized amplitude, and calculating the vibration response of each component based on the generalized amplitude; based on the framework of the energy method, the present invention uses the virtual spring model to simulate the direct constraint conditions of the track structure, decouples the displacement shape function from the boundary conditions, can simply and quickly represent the displacement field of the track structure, and comprehensively improves the accuracy of analysis and prediction.