302 results about "Strain energy" patented technology

The invention discloses a pre-twisted damper fatigue life prediction method for an extra-high voltage ground wire, and particularly relates to the technical field of power transmission line vibration prevention. Collecting multi-source vibration and environment data, and constructing a vibration characteristic time sequence; amplitude, frequency and strain energy are extracted based on the multi-frequency vibration response, and a multi-frequency collaborative vibration model is established; obtaining a damper structure and material parameters, establishing a finite element model, coupling the finite element model with a vibration model, and simulating local stress response; a Rainflow counting method and a Miner damage criterion are adopted to construct a fatigue damage factor distribution matrix; predicting the residual fatigue life of the damper based on the damage evolution trend, and evaluating the replacement opportunity; according to the method, accurate fatigue life prediction and optimal replacement strategy recommendation of the pre-twisted damper under complex working conditions can be realized, and the method has high precision, high adaptability and engineering practicability.

The invention provides a rock mass high-temperature deformation simulation method and system based on deep learning near-field dynamics, and relates to the field of rock mass thermal-mechanical coupling analysis and research, and the method comprises the steps: obtaining the parameter information of a to-be-simulated target rock mass, including the geometric shape of the rock mass and the physical attribute of the rock mass; dispersing the target rock mass into a plurality of material points according to the parameter information, and constructing a thermal-mechanical coupling model of the target rock mass; based on the initialized thermal-mechanical coupling model, time step iterative simulation of a solid mechanical field is conducted, and finally the crack propagation process and temperature distribution of the target rock mass are obtained; according to the method, a solid field near-field dynamics theory based on strain energy density is introduced, a fluid field near-field dynamics equation is combined, temperature distribution in a rock medium is predicted through a physical information neural network, a deep learning near-field dynamics framework of rock mass high-temperature deformation damage is formed, and therefore rock mass high-temperature deformation is efficiently and accurately simulated.

According to the bearing rigidity optimization and vibration reduction design method for the rotor and the bearing system, under the condition that the structural form of the rotor and the bearing system is not subversively adjusted, the elastic bearing and the extrusion oil film damper are arranged and designed, and the bearing rigidity of the rotor and the bearing system is optimized. The fulcrum rigidity is reduced to change the strain energy distribution of the rotor and adjust the critical rotating speed, and the vibration level of the rotor, especially vibration caused by sudden unbalance and transcritical of the multi-fulcrum rotor, is suppressed.

The invention discloses a bridge health monitoring method and system based on artificial intelligence, and relates to the technical field of bridge monitoring, and the method comprises the steps: building a bridge finite element physical model based on a bridge geometric model; and performing modal analysis and strain energy analysis based on a finite element physical model, determining key nodes based on an analysis result to generate sensor candidate nodes, and optimizing the sensor layout by using a genetic algorithm. According to the method, on the basis of bridge design parameters, a finite element analysis model is used for building a physical model for a bridge, sensitive areas in the bridge are converted into key monitoring nodes according to modal analysis and strain energy analysis, and sensor layout is optimized according to the key monitoring nodes in combination with a genetic algorithm, so that high-quality data acquisition is achieved; the monitoring efficiency is maximized, the cost is reduced, and dynamic damage characteristic indexes in the bridge are comprehensively extracted by calculating parameters such as the frequency spectrum amplitude, the damping ratio and the strain energy change.

The invention provides an on-line automatic test method for the compressive capacity of a corrugated carton, and belongs to the technical field of corrugated carton production. A micro-deformation loading system is constructed to apply a test load which does not exceed 10% of the expected maximum bearing capacity, and a laser displacement sensor array is adopted to measure micro-deformation displacement data of six surfaces of the carton; and synchronously acquiring acoustic emission signals and extracting spectrum characteristic parameters. Micro-deformation data is analyzed based on a carton fiber structure physical mechanism model, stress field distribution is calculated, analysis is carried out in combination with a hierarchical attention carton strength evaluation model, a rigidity coefficient is calculated and compared with a reference threshold value, a structural weak area is identified through a strain energy distribution diagram, and a damage risk index is quantified. And comprehensively evaluating the compressive strength prediction value and the confidence interval of the corrugated carton, and outputting a prediction result, thereby realizing accurate evaluation of the compressive strength of the corrugated carton under a non-destructive condition.

The invention provides a hydraulic fracture evolution simulation method and device and electronic equipment.The hydraulic fracture evolution simulation method comprises the steps that a damaged rock mass is divided into a plurality of different calculation areas, and a seepage control equation of each calculation area is determined; in combination with seepage anisotropy, determining a seepage tensor of porous medium seepage-stress coupling in each calculation area; associating the seepage control equations of all the calculation areas with phase fields to obtain a target seepage control equation; and determining the displacement, fluid pressure and phase field of the damaged rock mass based on the target seepage control equation. Through the deduced seepage-stress coupling phase field model, the strain energy is decomposed through spectral decomposition, it is guaranteed that crack propagation occurs under the energy generated by tensile strain, and the problem that an existing hydraulic crack research method is limited is solved.

The invention provides a tunnel support self-adaptive adjusting method and system based on rock mass-support feedback, and relates to the technical field of tunnel engineering support. The method comprises the following steps: acquiring surrounding rock strain data and stress data through a sensor network arranged in tunnel surrounding rock, and generating original monitoring data; calculating the surrounding rock strain energy density by using a data processing unit; matching the strain energy density with a preset energy stage feature through an adaptive control algorithm to generate an energy stage matching result; determining an energy state stage based on a stage confirmation module and generating an energy stage identifier; a supporting mode switching instruction is generated through a supporting mode mapping querier; and finally, the supporting control unit adjusts the working parameters of the supporting structure, real-time monitoring of the energy state of the surrounding rock and dynamic matching of the supporting parameters are achieved, the adaptability and safety of tunnel supporting are effectively improved, and the hysteresis of manual intervention is reduced.

The invention discloses a simulation optimization method, device and system for tire multi-rubber modulus matching, and belongs to the technical field of tire simulation optimizing.The method comprises the steps that a tire and a pavement finite element model are built, and the tire and pavement finite element model comprises a three-dimensional tire simulation model and a two-dimensional rigid pavement model; matching a modulus attribute of a rubber material to which each finite element grid of the tire simulation model belongs through an orthogonal test design method, carrying out finite element calculation based on the tire and the pavement finite element model, and calculating multiple groups of stress-strain and strain energy data of target belted layer endpoints of the tire under different modulus attributes; and respectively calculating modulus characteristic values of the tire under different modulus attributes on the basis of the multiple groups of stress-strain and strain energy data of the endpoints of the target belted layer, so as to obtain the optimal modulus ratio of multiple rubber materials of the tire. According to the method, the precision and usability of simulation optimization are improved, the service life of the tire is prolonged, the utilization rate of tire design materials is increased, and the design cost is reduced.

A damping partition wall design method having variable friction energy dissipation, comprising the following steps: establishing an empty frame model which does not consider the lateral stiffness resistance of a partition wall, and calculating the inter-story shear force and inter-story displacement of a structure under the action of an earthquake; calculating the elastic strain energy of the structure, and determining an expected additional damping ratio provided by the damping partition wall for the structure; determining a friction damping force-sliding displacement curve of a single group of damping partition walls, and establishing a relational expression of total friction hysteresis energy dissipation and the friction damping force and target sliding displacement of the single group of damping partition walls; comparing a calculated additional damping ratio and the expected additional damping ratio to obtain the relationship thereof, and determining the friction damping force requirement of the single group of damping partition walls; designing elastic pieces; designing anti-shearing connecting pieces; and carrying out damage control verification. According to the damping partition wall having variable friction energy dissipation, parametric design and adjustment are carried out on the basis of the design goal of the structure, so that there are regulations to follow in the design of such a damping partition wall, and the anti-seismic toughness of the partition wall and structure can be synergistically improved.

The invention relates to the technical field of intelligent scheduling, in particular to a steel structure weld fatigue cracking real-time monitoring system based on machine vision, which is characterized in that an image acquisition module acquires a high-stability image sequence in a strong vibration environment; the displacement field reconstruction module adopts a frequency domain-space domain combined decomposition technology to isolate environmental noise and material non-uniformity interference in a breakthrough manner, and an anti-noise deformation field and a stress distribution diagram are synchronously output through dual-channel parallel processing; a damage response module accurately locks sub-pixel-level crack initiation coordinates based on strain energy accumulation rate mutation, and dynamically predicts a yield risk area in combination with a displacement gradient diffusion model; the early warning module intelligently triggers graded response according to the crack position and the space coupling state of the risk area, performs positioning maintenance in a low risk area and automatic strengthening in a high risk area, and outputs heat treatment scheme coordinates when no crack exists; the system solves the problems of false detection caused by vibration noise and lagging response of single-parameter monitoring, and active protection from damage initiation to failure blocking is realized.

The invention discloses a heavy-duty gas turbine blade creep fatigue life design method considering an anisotropic effect, and relates to the technical field of gas turbine key component creep fatigue life evaluation.The method comprises the steps that orientation factor parameters on characteristic orientation are determined based on tensile data on [001] crystal orientation; constructing a modified stress relaxation formula; constructing an anisotropic failure strain energy density equation based on the pure creep performance data and the orientation factor parameters, and determining an upper platform of failure inelastic strain energy density on [001] crystal orientation; further determining an upper platform of the failure inelastic strain energy density on the feature orientation; constructing a creep damage prediction model based on a modified stress relaxation formula and an anisotropic failure strain energy density equation; and adopting the creep damage prediction model to obtain the creep fatigue life of the anisotropic turbine blade material sample. The method meets the actual requirements of service life evaluation of the high-temperature part of the heavy-duty gas turbine.

According to the thin-wall part machining method and device, the computer storage medium and the terminal, for a first change curve of strain energy and machining deformation in the layer-by-layer cutting process, it is ensured that the machining deformation newly added in the cutting process is smaller than the overall machining deformation by one grade with the strain energy reduced by 0.9 or above relative to the initial value as the criterion, and the machining deformation is reduced by one grade; the interference of newly increased deformation of finish machining on the machining precision is effectively restrained; the second change curve of the machining deformation of the part and the cutting thickness value of the part and the process allowance change curve are only fitted within the initial boundary range, and the curve fitting strength is reduced; the finish machining allowance when the second change curve and the process allowance change curve intersect is determined as the optimal finish machining allowance, and the requirements that the newly-added machining deformation corresponding to the finish machining allowance after cutting of each layer is minimum and the finish machining allowance needs to be larger than the deformation amount of previous machining are met; and data support is provided for improving the distribution quality of the finishing allowance.

The invention discloses an equivalent deformation modulus calculation method and system for a complex uneven rock mass and a medium. Relates to the technical field of rock engineering. The method comprises the following steps: partitioning according to geological information of rock masses and counting proportions, then respectively carrying out sound wave testing on the rock masses in different regions to obtain single-hole sound wave velocities, and calculating deformation moduli of the rock masses in each region by utilizing a correlation relationship between the single-hole wave velocities and the deformation moduli; a mixed equivalent model of strain coordination and stress coordination is constructed based on the rock mass strain energy proportion so as to calculate the equivalent deformation modulus of the special uneven rock mass; a new thought is provided for obtaining deformation modulus parameters containing multiple types of altered rocks, meanwhile, a targeted investigation and test scheme is provided, and an important basis is provided for design of rock mass slopes, caverns and the like.

The invention discloses a milling path planning method and system for stress gradient steepest descent, and the method comprises the steps: carrying out the discretization of a residual stress field based on a lightweight bearing member, and mapping the discretized residual stress field to a milling model, so as to form a high-dimensional matrix; calculating a gradient vector and stress streamline distribution of the residual stress field, and according to the gradient vector and the stress streamline distribution, based on a minimum potential energy principle and a stress steepest descent strategy, performing milling path planning degradation to obtain an optimized baseline; and according to the high-dimensional matrix and the optimized baseline, milling path planning is converted into graph complete traversal with the graph theory as guidance, a steepest descent scheme of strain energy and rigidity is optimized, and an optimal milling path scheme is obtained. The method serves for precision machine manufacturing process design, and the problems of array geometric feature milling path planning and machining deformation control of current lightweight force bearing components are solved; and the method is particularly suitable for light-weight bearing components with array geometric characteristics and high dimensional precision.

The invention discloses a method for predicting mechanical properties of ultra-high performance concrete, particularly relates to the technical field of dynamic property analysis of building materials, and aims to solve the problem that sudden brittle failure of materials cannot be accurately predicted under impact and explosion loads in the conventional method. The method comprises the following steps: calculating a macroscopic stress-strain response based on a continuum mechanical equation by acquiring a material ratio parameter and a dynamic load condition; constructing topological features through the strain energy entropy change rate to locate a damage area; determining an interface debonding energy threshold value and a crack growth rate of the damaged area in combination with interface fracture mechanics; utilizing the law of conservation of energy to establish dynamic correlation between interface debonding energy and strain energy density; when the crack growth rate exceeds an interface debonding energy threshold value, correcting macroscopic response data of a sudden stress drop interval based on the dynamic association relationship; the cross-scale coupling of a microscopic damage mechanism and a macroscopic mechanical behavior is realized, and the prediction precision under a dynamic load is remarkably improved.

The invention provides a rock-soil body stability analysis method and system based on strain energy density, and relates to the technical field of rock-soil body stability analys.The rock-soil body stability analysis method comprises the steps that rock-soil body parameters of field investigation and indoor tests are obtained; combining the rock-soil body parameters, the generalized Hooke law and the Mohr-Coulomb yield criterion to obtain a strain tensor expression, and performing stress tensor calculation to obtain an elastic stress tensor, a strain tensor and a plastic strain tensor of the rock-soil body; respectively carrying out integral calculation to obtain the total strain energy density increment of the rock-soil body in different stress states; and performing stability analysis based on the total strain energy density increment of the rock-soil body in different stress states to obtain a stability abnormal area of the rock-soil body. According to the method, the elasticity and plastic deformation characteristics of the rock-soil body are comprehensively considered, and the accuracy of stability evaluation is improved.

The invention provides a composite material damage type identification method based on multiple characteristic parameters of an acoustic emission signal, which comprises the following steps: designing and carrying out an acoustic emission signal acquisition test aiming at a composite material damage evolution behavior; key acoustic emission signal features are screened out based on a principal component analysis method, and the corresponding relation between a clustering result and a damage form is verified; a transient damage contribution index is proposed based on a clustering result to represent the contribution degree of each damage to the overall damage at a certain moment, and a damage function is proposed in combination with strain energy. The method effectively solves the bottleneck problems of high feature redundancy and serious mode confusion of the traditional acoustic emission signal, perfects the spatial correlation model of the energy release rate and the damage mode in the composite material progressive damage theory, provides an experimental basis for establishing an anisotropic damage constitutive equation considering the laying layer direction, and has a wide application prospect. And a new method is provided for online monitoring of a composite material structure under a complex working condition.

The invention relates to the technical field of aviation part manufacturing and metal punch forming, in particular to an aviation volute spiral spring punch forming method which comprises the following steps: a data acquisition step: acquiring real-time modulus data and a target geometric trajectory equation of a to-be-processed plate; an energy mapping calculation step: performing energy mapping on the trajectory equation, and determining a target strain energy density distribution diagram representing the energy dissipation gradient; a potential barrier parameter determination step: determining a deformation energy potential barrier parameter of the current forming position in combination with the real-time modulus; a rheology compensation resolving step: resolving a rheology compensation control instruction set containing ultrasonic excitation and piezoelectric driving parameters based on potential barrier parameters; a dynamic forming execution step: driving the dynamic rheological compensation die system to execute stamping operation; according to the method, dimension raising from geometric shape copying to energy flow control is achieved, the fatigue life of the spring is remarkably prolonged, and geometric consistency of the spring is remarkably improved.

The invention relates to a method for constructing a deep learning potential function of a lithium alloy, which comprises the following steps of: establishing initial crystal models of magnesium-lithium alloys with different lithium contents, and carrying out structure optimization on the models to obtain equilibrium state lattice constants; and respectively constructing an elastic constant calculation model, a surface energy calculation model, an interstitial atom defect model and a vacancy defect model. The method comprises the following steps: applying a strain component, calculating a strain energy fitting elastic constant component, calculating surface energy after cutting a supercell structure and optimizing, calculating formation energy after determining a gap position, and introducing a vacancy to form the supercell structure and calculating the formation energy. And inputting the data set into a deep learning framework, optimizing model precision by adjusting truncation radius parameters, and finally generating a magnesium-lithium alloy deep learning potential function. Compared with the prior art, the method has the advantages that the problem that a classic MEAM potential function cannot accurately predict the variation trend of the basal plane fault energy along with the lithium content is solved, the defect of low calculation efficiency of a first principle is overcome, and the calculation efficiency close to that of an empirical potential function is realized.

The invention discloses a loudspeaker structure parameter optimization method and system, electronic equipment and a storage medium, and the method comprises the steps: building a finite element model for a loudspeaker, dividing parts of the loudspeaker into a plurality of units in the finite element model, setting boundary conditions and simulation, and obtaining the elastic strain energy and kinetic energy of each unit in each modal order; for each part, calculating an elastic strain energy ratio and a kinetic energy ratio of the part in the Nth-order modal according to the elastic strain energy and the kinetic energy of the units contained in the part, and determining a to-be-corrected target part; the structural parameters of the target component are updated according to the elastic strain energy ratio and / or the kinetic energy ratio of the target component in the Nth-order mode, the change of the structural parameters influences the rigidity and the quality of the target component, the elastic strain energy ratio and the kinetic energy ratio of each component in the Nth-order mode are obtained through simulation, and the elastic strain energy ratio and the kinetic energy ratio of each component in the Nth-order mode are obtained; the target component with the to-be-updated structural parameters can be efficiently and quickly determined, the optimization difficulty is reduced, and the optimization time is saved.

The invention discloses a method and a system for evaluating creep damage of a hot-end component of a gas turbine engine, and relates to the technical field of performance detection of the hot-end component of the gas turbine engine. The method comprises the following steps that time-varying load information of a dangerous area of a hot end component of the gas turbine engine is obtained according to the real-time running state of the gas turbine engine; carrying out online cycle counting on the time-varying load information of the dangerous area of the hot end component; and performing creep damage evaluation on the dangerous area of the hot part based on the strain energy density dissipation model. By adopting the creep damage assessment method based on the strain energy density dissipation model and combining the characteristics of fatigue-creep interaction, the influence of complex factors such as stress relaxation and temperature fluctuation can be comprehensively captured, the accuracy of creep damage calculation is greatly improved, the delay of a traditional offline assessment method is overcome, and the application range is wider.

The invention relates to the technical field of tunnel blasting, in particular to a method and system for monitoring accumulated damage of reserved rock mass after blasting of a section tunnel. The monitoring method comprises the steps that S1, sensing equipment is arranged and used for collecting rock mass parameter data including micro-seismic data and strain data; s2, preprocessing the data acquired by each sensing device, and mapping the rock mass parameter data acquired by each sensing device to the same three-dimensional coordinate system; and S3, calculating a damage index according to the strain energy density, the strain energy density initial value, the micro-seismic event frequency and the geological adjustment coefficient, and performing early warning according to the damage index and a preset early warning rule. According to the method, the micro-seismic data and the strain data of the reserved rock mass are collected and processed, then the damage index is calculated, and early warning is performed according to the damage index and the preset early warning rule, so that the accuracy of monitoring the blasting damage of the surrounding rock is improved, the damage condition of the surrounding rock can be rapidly evaluated, and therefore protection measures can be taken in time, and the safety of the surrounding rock is improved. The stability of the tunnel structure is ensured.

The invention belongs to the technical field of aircraft thin-wall structure design, and particularly relates to a method for correcting a quadrilateral shell unit in aircraft thin-wall structure finite element analysis, which comprises the following steps of: 1, establishing a unit coordinate system for the quadrilateral shell unit; step 2, under the unit coordinate system, establishing an equilibrium equation of a plane stress unit related to in-plane deformation, and calculating a rigidity matrix of the plane stress unit; step 3, under the unit coordinate system, establishing a balance equation of a bending plate unit related to out-of-plane deformation, and calculating a rigidity matrix of the bending plate unit; 4, applying an in-plane rotation penalty term on the rotational stiffness of the quadrilateral shell unit, and calculating the influence of the in-plane rotation penalty term on the strain energy function of the quadrilateral shell unit under the unit coordinate system to obtain an in-plane rotation stiffness matrix; 5, calculating a stiffness matrix of the quadrilateral shell unit under the unit coordinate system; and step 6, coordinate transformation is carried out to obtain a stiffness matrix of the quadrilateral shell unit under the overall coordinate system.

The invention relates to the technical field of oil and gas reservoir development and geological modeling, and discloses a multi-scale factor constraint-based tectonic network fracture modeling method, which comprises the following steps of: synthesizing a Riemannian metric tensor field on the basis of earthquake, logging and geomechanics data, and defining non-Euclidean distance cost of a fracture expanded in an anisotropic medium; initial seed points are screened according to the elastic strain energy density, and initial growth potential energy in a limited range is distributed; solving the eikonal equation by using an anisotropic fast marching algorithm to carry out wavefront competitive growth, and dividing a grid region into generalized Voronoi units; identifying a wavefront contact interface, and extracting gradient features to judge a fusion or truncation type so as to establish fracture topological connection; and finally, tracking a geodesic line path along an anti-gradient direction to generate a three-dimensional discrete fracture network. According to the method, macro and micro constraints are unified through Riemannian geometry, clear physical significance is given to the fracture by utilizing an energy mechanism, and automatic and accurate construction of the complex fracture network topology structure is realized.

The invention discloses a cable insulation degradation analysis method, electronic equipment and a storage medium. The method comprises the following steps: acquiring electrical, thermal and mechanical performance parameters of an insulating material of a cable; according to the electrical, thermal and mechanical performance parameters of the insulating material, determining strain energy and electrostatic energy of a corresponding area of the insulating material; establishing a phase field variable associated with the damage degree and the dielectric parameter of the insulating material; according to the damage degree of the insulating material and the relation between the dielectric parameters and the phase field variables, the phase field variables are updated through strain energy and electrostatic energy, and the damage evolution state and the degradation breakdown path of the insulating material are obtained; wherein the change of the phase field variable is driven by the strain energy and the electrostatic energy of the corresponding region of the insulating material. According to the technical scheme, the insulation degradation process of the cable can be reproduced through numerical calculation and theoretical analysis according to actual operation and maintenance conditions and performance parameters of the power cable, and a technical means is provided for cable construction, maintenance and insulation state evaluation.

The invention relates to the technical field of permeability calculation, and discloses a method for predicting the high-temperature permeability of coal underground gasification surrounding rock based on a thermal stress model, which comprises the following steps: collecting samples, and preprocessing the samples to determine mineral components of the samples; carrying out heat treatment on the sample at different temperature levels, and then carrying out experimental testing to obtain parameters of the sample; simulating, coupling and calculating the strain energy of the sample by adopting a finite element method, and calculating the fracture amount by combining the strain energy and the geometrical shape of the fracture at high temperature; and calculating and predicting the high-temperature permeability by using the geometrical shape and the fracture amount of the fracture at high temperature. According to the method, finite element thermal stress simulation and fracture mechanics theories are combined, the stress causing fracture is accurately calculated, the fracture amount is calculated in combination with observation of the geometrical shape of the fracture after high temperature action under a microscopic image, and the fracture seepage rate is calculated based on the fracture amount and discontinuity of sudden change of the high-temperature seepage rate of the geometrical shape of the fracture after high temperature action. And the high-temperature permeability is calculated and predicted, and the method has very strong prediction performance.

The invention provides a method for determining the energy consumption limit value of surrounding rock of a high-ground-stress deeply-buried soft rock tunnel, and belongs to the technical field of tunnel engineering. Comprising the following steps: testing ground stress of a tunnel site area to obtain components of the ground stress in a large principal stress direction, a middle principal stress direction and a small principal stress direction; manufacturing a rock test piece; carrying out a true triaxial loading and unloading test on the test piece to obtain stress-strain of the test piece in a large principal stress direction, a middle principal stress direction and a small principal stress direction; calculating the elastic strain energy and the plastic dissipation energy of the test piece based on the elastic modulus and the Poisson ratio of the test piece; calculating the energy dissipation rate of the test piece; and taking the corresponding plastic dissipation energy when the energy dissipation rate of the test piece reaches the maximum value as the energy dissipation limit value of the surrounding rock. According to the method, the energy consumption limit value is used as the bearing capacity evaluation index of the surrounding rock of the high-crustal-stress deeply-buried soft rock tunnel, and the nature of instability failure of the surrounding rock of the high-crustal-stress deeply-buried soft rock tunnel is reflected.

The invention discloses a compensation method for synchronous control of multiple hydraulic cylinders, and belongs to the technical field of hydraulic control. Aiming at the problem of synchronous compensation systematic deviation caused by neglecting deformation of a structure field of a controlled object in the prior art, the invention provides a dynamic compensation method based on a deformation shearing force weight. The core of the method comprises the steps that displacement data yi of all hydraulic cylinders and deformation shearing force data FSi at all jacking points are obtained in real time, the displacement compensation weight rho i of all the hydraulic cylinders is calculated, and compensation displacement yci is dynamically distributed in combination with the current maximum displacement difference delta Ymax; by means of the strain energy theory, shear force is used as characterization of energy accumulation, the displacement compensation difficulty degree of each jacking point is quantified, and self-adaptive matching of the compensation amount and the structural rigidity is achieved; the method effectively reduces local overcompensation or undercompensation, improves synchronization precision, and is especially suitable for working conditions having requirements for stress state changes of a controlled object.

The invention belongs to the technical field of microstructure and multi-scale structure design, and particularly relates to a microstructure rapid design and filling method and system based on macroscopic strain. Constructing a microstructure topological optimization model based on the macroscopic strain, sampling the macroscopic strain and the volume fraction to generate a corresponding optimized microstructure, and establishing a microstructure training data sample library with labels; carrying out equivalence analysis on a strain energy expression, solving the problem of variable inconsistency by utilizing an intermediate variable, and converting the strain in the training sample into the intermediate variable; establishing a deep neural network with an intermediate variable and a volume fraction as input and a microstructure topological configuration as output, and training the deep neural network by using a data sample to obtain a microstructure fast reverse design network; and carrying out staged multi-scale structure filling design by using the microstructure fast reverse design network. According to the method, the online calculation cost of microstructure and multi-scale structure design can be reduced, and the design efficiency is improved.

The invention discloses an online monitoring method for vibration damage of a building structure, particularly relates to the technical field of health monitoring of engineering structures, and is used for solving the problem of insufficient damage positioning precision caused by sparse measuring points in an existing vibration monitoring method. The method comprises the following steps: acquiring structural vibration response data, firstly analyzing an overall input impedance spectrum to judge rigidity degradation, then calculating strain energy density distribution, dividing regions, analyzing synergism indexes, preliminarily positioning a damage region, and then constructing a propagation path by using structural symmetry characteristics to verify damage credibility. And finally, realizing accurate positioning of a damage position through analysis of a sudden change point of local curvature modal distribution.