3691 results about "Mechanical property" patented technology

The invention relates to the technical field of welding, in particular to a corrosion steel welding cooperative control method and system. Comprising the following steps that welding seam geometric parameters, molten pool dynamic characteristic parameters and welding heat input parameters in the corrosion steel welding process are collected in real time through a multi-dimensional sensor array; constructing a corroded steel welding seam feature space model based on the welding seam geometric parameters, and determining material corrosion grade distribution and mechanical property parameters of a welding seam area in combination with a preset corroded steel material database; a molten pool form evolution prediction model is established through an adaptive Kalman filtering algorithm by utilizing the dynamic characteristic parameters of the molten pool and the welding heat input parameters, and the solidification behavior and the welding seam forming trend of the molten pool are predicted in real time; according to the material corrosion grade distribution, the mechanical property parameters and the molten pool forming trend, a dynamic adjustment strategy of the welding process parameters is generated through a multi-objective optimization algorithm; the reliability and safety of the corrosion steel welding joint can be improved.

The present invention relates to the technical field of mechanical property testing and characterization. Disclosed are a method and apparatus for calculating a crack propagation life of an engine structure in vibration fatigue, which method and apparatus aim to obtain reliable fracture mechanics parameters and a crack propagation rate curve and provide an accurately quantified crack propagation life, so as to provide methodological guidance for the life assessment of reusable engines. The calculation method comprises: acquiring a time-domain random stress spectrum of stress responses in an assessment section in a finite element model of an engine structure; on the basis of the time-domain random stress spectrum, performing finite element analysis processing on a crack model of the engine structure, so as to determine fracture mechanics parameters of a cracked structure; performing a vibration fatigue performance test on a crack propagation rate model, which is set up according to a preset crack propagation mode, and determining, by using parameter identification, a target parameter value corresponding to the crack propagation rate model; and in combination with the parameter value corresponding to the crack propagation rate model and a preset critical crack length value, performing crack propagation life calculation, so as to obtain a target crack propagation life.

The invention relates to the technical field of structure optimization design, and particularly discloses a box-type beam structure lightweight design method based on topological optimization, which comprises the following steps: constructing a multi-physics field coupled three-dimensional parameterized model, and performing cross-scale analysis on integrated structure rigidity, thermal deformation, vibration mode and fatigue life to obtain a three-dimensional parameterized model; a variable density method and level set method mixed topological optimization strategy is adopted, and an initial material distribution scheme meeting the structural function integrity is generated by modeling the relationship between density and stress strain; starting a quantum genetic algorithm and deep reinforcement learning fused intelligent optimization engine; according to the method, through the multi-physics field coupled three-dimensional parameterized model, a variable density method and level set method mixed topological optimization strategy is combined, the relation between the structural lightweight target and the additive manufacturing process is effectively balanced, multi-physics field analysis of thermal response, vibration, fatigue and the like is introduced, and the structural lightweight target is obtained. And it is guaranteed that the box-type beam meets the mechanical property and other functional requirements in actual application.

The invention belongs to the technical field of high polymer material design and intelligent manufacturing, and discloses a machine learning driven epoxy resin based composite material thermal-mechanical property aided design method, which comprises the following steps: S1, data acquisition and feature construction; s2, performing feature screening; s3, constructing and training an interpretable prediction model; s4, carrying out reverse design and optimization; and S5, performing closed-loop verification and updating. According to the method, the quantitative relation of structure-process-performance is constructed through an interpretable machine learning model, and the contribution mechanism of each factor is revealed by means of SHAP analysis. And finally, reversely designing an optimal epoxy resin monomer structure and a matched curing process according to the performance target. The limitation of a traditional trial and error method is broken through, collaborative optimization of the material structure and the forming process can be achieved, and the development efficiency of the epoxy resin-based carbon fiber composite material is remarkably improved.

The invention discloses a color-coated steel plate weather resistance evaluation method based on multi-source data fusion, and relates to the technical field of color-coated steel plate weather resistance evaluation. The method comprises the following steps: acquiring color-coated steel plate data based on Internet of Things sensing equipment and preprocessing the color-coated steel plate data; in an experimental environment, performing subitem weather resistance evaluation based on the preprocessed data of the color-coated steel plate, and determining a weather resistance evaluation grade of each subitem; if the weather resistance evaluation grades of all the sub-items are qualified, comprehensive weather resistance evaluation is conducted on the color-coated steel plate based on different simulated use environments, the risk grade of the color-coated steel plate in the simulated use environment after the weather resistance evaluation of the sub-items is determined, and multi-dimensional data are obtained through Internet of Things sensing equipment and fused and analyzed; practical accurate evaluation and comprehensive risk judgment of the appearance, the corrosion resistance and the mechanical property of the coating are achieved, and the problems that in an existing evaluation method, due to a single data source, the evaluation result is one-sided, and the weather resistance of the color-coated steel plate in the complex environment cannot be comprehensively reflected are solved.

The invention provides a low-speed and ultrahigh-pressure die-casting process method for automobile part die-casting, and relates to the field of automobile part manufacturing. The method includes the following steps that firstly, a mold is prepared, secondly, molten metal is prepared, thirdly, a casting is cooled and demolded, and fifthly, follow-up treatment is conducted. The defects that in the high-speed mold filling process of a common high-pressure casting technology, gas is likely to be involved in the molten metal, and consequently air holes, shrinkage porosity and the like are generated in the casting are overcome; and when key parts such as automobile engine cylinder bodies and hubs are produced, air hole defects possibly cause the problems of air leakage of engines, insufficient hub strength and the like. And meanwhile, for parts with thin walls and complex structures, uniform filling of molten metal in a mold is difficult to ensure by a traditional die-casting process, the defects of cold shut, insufficient pouring and the like are easy to occur, and the qualified rate and the production efficiency of products are reduced.

The embodiment of the invention relates to the technical field of rock mechanics, in particular to a rock micromechanical property determination method, device and equipment, and the method comprises the following steps: carrying out indentation test on a target area on the surface of a rock sample to obtain micromechanical response data of the rock sample; the micro-mechanical response data represents the change relationship between the micro-mechanical response of the rock sample and time; scanning a target area on the surface of the rock sample in the indentation test process to obtain microstructure evolution data corresponding to the micromechanical response data; the microstructure evolution data represents a change relationship between the microstructure of the rock sample and time; and determining the micromechanical properties of the rock sample according to the micromechanical response data of the rock sample and the corresponding microstructure evolution data. According to the embodiment of the invention, the heterogeneous micro-mechanical property of the rock can be accurately represented based on collaborative analysis of the micro-mechanical response and the microstructure of the rock sample at multiple time points, and dynamic, in-situ and quantitative representation of the micro-mechanical property of the rock is realized.

The invention belongs to the field of plastic product production, and particularly relates to a composite material for preparing a textile dyeing tube. The composite material mainly comprises the following components in parts by weight: 10 parts of PET resin, 10 parts of ASA resin, 1-6 parts of matt master batches, 1-3 parts of titanium dioxide, 1-2 parts of rosin, 0-1.5 parts of an antioxidant, 0-1 part of a fire retardant and 1-2 parts of a lubricating agent, wherein titanium dioxide is rutile titanium dioxide. Compared with the prior art, the components are good in compatibility; the molded product has excellent physical and mechanical properties, low glossiness, high strength (caused by titanium dioxide) and good tenacity, and is suitable for injection molding of plastic products; the metallic luster caused by titanium dioxide can be reduced; the noise can be reduced; titanium dioxide can be used for disinfecting under irradiation of an ultraviolet lamp; the composite material is very convenient; and the lubricating agent is added, so that the surface is relatively smooth.

The invention relates to the technical field of material mechanical property testing, in particular to a method for measuring residual stress of a metal component. According to the technical scheme, the method for measuring the residual stress of the metal component comprises a working process for measuring the residual stress of the metal component; according to the method, a technical path of multi-modal data assimilation is adopted, and a mechanical release mechanism of a drilling method and an ultrasonic stress measurement technology are deeply fused to calibrate and correct mass sound velocity data obtained by carrying out rapid ultrasonic scanning on the whole component on site, so that the precise measurement of the residual stress state of the metal component is realized, and the measurement precision is improved. According to the method, data authority and high credibility of a drilling method in a key area are reserved, the advantages of high efficiency and wide coverage of full-field measurement of an ultrasonic method are brought into full play, and efficient and accurate stress information is provided on the premise that components are not excessively damaged.

The invention relates to an additive manufacturing method and application of an aluminum-based silicon carbide composite material complex component, and the additive manufacturing method of the aluminum-based silicon carbide composite material complex component comprises the following steps: step 1, uniformly mixing silicon carbide powder and aluminum alloy powder, and drying; 2, establishing a structural model for the target part, and importing the structural model into selective laser melting forming equipment; thirdly, selective laser melting forming is conducted; fourthly, linear cutting and surface treatment are conducted; and fifthly, hot isostatic pressing treatment is conducted. The invention further provides application of the aluminum-based silicon carbide composite material complex component to precise structural components such as aviation structural components, guided missile and satellite components and optical instruments. According to the method, the problem of subsequent large-allowance removal of the aluminum-based silicon carbide composite material component is solved, the wettability between the aluminum alloy and the silicon carbide particles is improved, the mechanical property meets the application requirement, and the aluminum-based silicon carbide structural component with stable performance is obtained.

The invention discloses a shield segment multi-dimensional mechanical property test platform, which comprises an outer frame, a vertical loading system, an annular external loading system, an inner frame, an annular internal loading system, a torsion loading system and a plurality of displacement sensors, and is characterized in that the inner frame and the outer frame are respectively arranged on the inner side and the outer side of a segment; the inner frame and the outer frame are connected through a connecting plate, the vertical loading system is arranged at the top of the outer frame, and the loading end of the vertical loading system telescopically abuts against the top of the outer side of the segment; the annular loading system is arranged on the outer frame, and a plurality of loading ends of the annular loading system are telescopically propped against the outer sides of the duct pieces respectively; the annular inner loading system is arranged between the inner side of the duct piece and the outer side of the inner frame; loading ends of the torsion loading system are respectively arranged on two sides of the duct piece; and the plurality of displacement sensors are sequentially arranged on the duct piece. According to the invention, through combination of different loading systems, the mechanical properties of the duct piece in a complex environment can be simulated.

The invention relates to the technical field of mechanical performance testing of power transformer winding materials, in particular to a method for evaluating the mechanical strength of a transformer winding under a reclosing working condition, and the method comprises the steps: obtaining and preprocessing historical operation data, finite element simulation data and laboratory simulation test data; deploying a micro foil strain gauge, an MEMS acceleration sensor and a flexible piezoresistive sensor based on the preprocessed data, and synchronously collecting radial strain, axial acceleration and cushion block pressure data; after noise filtering, time alignment and feature extraction, multi-directional deformation cooperative influence is analyzed through methods of Pearson's correlation coefficients, partial least square regression and the like; and in combination with a historical damage sample training evaluation model, outputting a mechanical strength degradation level in real time. According to the method, the problems of synchronous acquisition and correlation analysis of multi-direction deformation data under reclosing impact are solved, and accurate evaluation of overall mechanical strength change caused by accumulated deformation is realized.

The invention provides a method and a device for evaluating and measuring microscopic mechanical properties of TC4 alloy, relates to the technical field of microscopic mechanical properties, and realizes accurate evaluation of material properties through combination of multi-scale characterization and numerical simulation. Firstly, a standard sample is prepared through selective laser melting, and residual stress field distribution is obtained through X-ray diffraction; dividing a stress field into sub-regions, and establishing a quantitative relationship between microscopic structure parameters and residual stress by combining SEM and EBSD analysis; the method comprises the following steps: acquiring local mechanical properties through a nanoindentation test, and constructing a stress-performance correlation model; and finally, establishing a finite element model, transmitting stress and tissue parameters by adopting trilinear interpolation and an inverse distance weighting method, verifying data reliability through a stress difference criterion, and calculating mechanical properties of each unit. According to the method, multi-scale correlation from microstructure characteristics to macroscopic mechanical properties is innovatively realized, so that the mechanical property distribution of the material is accurately evaluated.

The invention discloses a cement stabilized macadam mechanical property analysis method based on maximum aggregate nominal particle size, and relates to the technical field of cement stabilized macadam mechanical property analysis, the method comprises the following steps: preparing skeleton dense type cement stabilized macadam test pieces with different nominal maximum particle sizes; carrying out a macroscopic mechanical test to obtain a stress-strain curve and a crushing value; establishing a three-dimensional discrete element numerical model corresponding to the test piece, performing uniaxial compression simulation, and ensuring the reliability through model verification; and based on the verified model, quantitatively analyzing the contact force distribution, the contact quantity characteristic and the microcrack evolution law from the microscopic level. According to the analysis method disclosed by the invention, a mechanism that the nominal maximum particle size improves the macroscopic performance of the material by regulating and controlling an internal force chain network and inhibiting damage accumulation is disclosed through a macro-micro combination means, and a scientific micro-mechanical basis and a quantitative analysis tool are provided for grading optimization and high-performance design of the cement stabilized macadam base.

The invention discloses a multi-element low-alloying high-speed extrusion flame-retardant magnesium alloy and a preparation method thereof. The alloy comprises the following components in percentage by mass: 0.5 to 2.0 percent of Al, 0.2 to 1.0 percent of Zn, 0.1 to 1.0 percent of Mn, 0.2 to 0.8 percent of Ca, 0.2 to 1.0 percent of heavy rare earth element Y, Er or Gd and the balance of Mg and inevitable impurities. Through the synergistic effect of non-rare earth elements Al, Zn, Mn and Ca and trace heavy rare earth elements, matching of low cost, good mechanical property and flame retardant property is realized. After the alloy is subjected to optimized bipolar homogenization heat treatment, the alloy can be subjected to extrusion production at the extrusion rate of 10-30 m / min. The room-temperature ultimate tensile strength is larger than or equal to 270 MPa, the yield strength is larger than or equal to 240 MPa, the ductility is larger than or equal to 12%, and the ignition point is larger than or equal to 850 DEG C. Important support is provided for propelling the magnesium alloy extrusion material to achieve equipment lightweight and low-carbon manufacturing in the fields of rail transit, aerospace and the like.

A high-performance near-pure zinc alloy, a preparation method therefor and a use thereof, relating to the technical field of zinc alloys. The alloy component is that the content of Zn is greater than or equal to 99.5%, and the remaining trace alloy elements include at least two of the following 14 elements: Mg, Mn, Li, Cu, Ag, Ca, Sr, Fe, Zr, Ti, Al, C, Ga, and Si. The alloy has the yield strength ≥ 250 MPa, the tensile strength ≥ 320 MPa, the elongation ≥ 25%, the mechanical property change during one year of room-temperature storage ≤ 5%, the maximum bending force ≥ 2 kN, the stress corrosion sensitivity factor ≤ 15%, the size of corrosion pits after 60 days of immersion ≤ 15 μm, and the standard deviation of the size of corrosion pits ≤ 3 μm. The alloy is suitable for the preparation of biodegradable stents, bone implant devices, medical staplers or anastomotic nails for intestines, blood vessels or nerves, vascular clamps, guided bone or tissue regeneration membranes, heart valve protheses, dura mater repair membranes, soluble bridge plugs and fracturing balls for oil drilling, zinc alloy die castings, electroplated zinc materials, building zinc materials, battery-grade zinc, printing-grade zinc, and zinc-based brazing alloys.

The invention relates to the field of concrete-filled steel tube structure mechanical property tests, in particular to a concrete-filled steel tube arch rib member long-term load and corrosion intelligent test device and method. The test device comprises: a corrosion tank covering the outside of a concrete-filled steel tube arch rib test piece and capable of being filled with or sprayed with a corrosive liquid; the load applying device comprises a plurality of load applying units, and each unit is used for applying long-term load to the concrete-filled steel tube arch rib test piece; the load applying unit comprises a screw rod, a nut, a loading end plate, a loading block and a force transmission block; the loading block penetrates through the corrosion tank and is tightly attached to the test piece, the force transmission block is located below the loading block and is tightly attached to the corrosion tank, and the multiple screws penetrate through the corrosion tank, so that the loading block can apply force to the concrete filled steel tube arch rib test piece; the sensor feeds back data to the data acquisition terminal in real time for processing, and the corrosion process is accurately controlled. According to the invention, the stress characteristics of the concrete-filled steel tube arch bridge under long-term load and corrosion effects can be simulated based on an intelligent technology.

According to the embodiment of the invention, the industrial robot technology is applied to the rolling forming process of the variable cross-section part, and the rolling path can be dynamically adjusted according to the variable cross-section characteristics of the part, so that efficient machining is realized. According to the technology, the limitation of an existing technology in complex geometrical shape machining is broken through and solved, and an industrial robot can conduct high-quality and high-precision rolling forming on the variable cross-section part of a complex structure under the condition that the industrial robot does not depend on a mold. In addition, by combining the flexible path control capability of a robot, the forming precision of the variable cross-section part is remarkably improved, and compared with a raw material, the mechanical property loss of a bending area material of the part obtained after forming through the technology is smaller than 30%.

The present invention proposes an intermediate diaphragm-free, suspended formwork-free, and negative moment tooth block-free beam bridge, and a design method thereof. The beam bridge includes prefabricated main girders, a wet joint, lower structures, and pier cap transverse beams above the lower structures. The concrete deck slabs of adjacent prefabricated main girders are connected by the wet joint. The design method of the above beam bridge includes the following steps: S1, initial design of the main girders; S2, calculation of the non-uniform deflection of the main girders and the indirect transverse stress of the deck slabs; S3, calculation of the direct transverse stress of the deck slabs; S4, crack resistance verification of the deck slab; S5, optimization of bridge parameters to reduce the stress on the driving surface; S6, completion of the beam bridge design. The beam bridge and its design method effectively solve the problem that the existing intermediate diaphragm-free beam bridge is prone to longitudinal cracking at the joints, and realize the suspension tension without the wet joint suspended formwork of the deck slab and the negative bending moment tendon, and have better mechanical properties and better economic, environmental and social benefits, which can facilitate the promotion and application of such bridges in various types of highways , railways and municipal engineering.

The embodiment of the invention provides an epoxy molding compound testing method and system based on production state monitoring, and belongs to the technical field of material mechanics detection. The method comprises the steps that whether sampling is triggered or not is judged based on a state vector S; feeding the powder sample into a micro cylinder test cavity; performing isothermal locking on the powder sample in the micro cylinder test cavity to obtain a corresponding force-displacement curve, a dead load relaxation curve and an unloading recovery curve; and determining a corresponding mechanical property index based on a force-displacement curve, a dead load relaxation curve and an unloading recovery curve, and combining the mechanical property index with the state vector S to execute threshold adaptive regression so as to generate a detection result of the current batch of epoxy molding compound. According to the scheme, the production state monitoring data and the mechanical test result are combined, so that the accurate judgment of the batch quality of the epoxy molding compound and the self-adaptive optimization of the process parameters are realized.

The invention relates to the technical field of operation machinery, and provides a topological optimization method applied to a suspension arm, the suspension arm, a hoisting arm frame device and a self-loading and self-unloading transport vehicle, and the method comprises the following steps: establishing an initial model of the suspension arm, dividing grids based on the initial model, and defining a design domain; applying constraint conditions to the initial model of the suspension arm in a corresponding design domain; determining a topological optimization method of the suspension arm according to the constraint conditions, and setting corresponding initial topological optimization parameters; based on the initial topological optimization parameters, sensitivity analysis and optimization iterative calculation are carried out on the topological optimization finite element model, and target topological optimization parameters are obtained; obtaining a model of the target suspension arm based on the target topological optimization parameters; and extracting the optimized density distribution for checking, and carrying out finite element analysis on the sealing distribution which does not meet the requirement again until a manufacturable geometric model is generated. On the premise that the mechanical property is guaranteed, the balance of light weight and high strength of the suspension arm can be achieved through topological optimization design.

The invention belongs to the field of advanced inorganic non-metallic materials, and relates to a 3D special-shaped glass bending tempering forming method and system, which comprises the following steps: according to initial stress distribution data, partitioning a glass curved surface by adopting a k-means clustering algorithm, determining an independent temperature control parameter required by each partition, generating a multi-mode temperature field partitioning scheme, partition temperature control data is obtained; according to the stable temperature distribution data, a non-contact electromagnetic suspension technology is adopted to control the distance between the glass and the mold, electromagnetic field intensity distribution data is generated, the stress state of the glass is calculated through finite element analysis, and contact stress reduction data is obtained; and aiming at the optimized mechanical property data, integrating the temperature field, the deformation rate and the stress distribution data by adopting a data fusion algorithm, generating a process parameter database for bending and tempering forming of the 3D special-shaped glass, and determining final production control parameters.

The invention discloses a light-weight manufacturing method and system for a PET bottle for food packaging, particularly relates to the technical field of PET bottle blank manufacturing, and aims to solve the problem that the subsequent blow molding quality is affected due to the fact that complex internal stress is generated in a bottle blank due to a rapid cooling process after injection molding in the prior art. Image information and temperature distribution data of a bottle blank after injection molding are obtained, geometric features and cooling rate differences are analyzed and recognized based on multi-physics coupling, a stress cause weight evaluation model is established to generate a stress distribution map, and then structural entropy increase factors under different temperature adjustment paths are simulated and calculated according to thermodynamic parameters, so that the temperature adjustment precision is improved. And carrying out partitioned temperature adjustment treatment on the bottle blank, and finally, carrying out constant-temperature and constant-humidity standing to sufficiently relax the stress. The internal stress distribution of the bottle blank can be effectively controlled, and the wall thickness uniformity and the mechanical property consistency of the light-weight PET bottle are improved.

The invention relates to the field of additive manufacturing, and discloses a dynamic phase change control additive ultrahigh-strength steel strengthening and toughening process which comprises the following steps: S1, constructing a phase change structure design target which comprises retained austenite distribution, a structure space structure and mechanical property requirements; s2, based on the phase change structure design target, establishing a free energy model taking a phase field variable as a core for representing a phase change driving behavior between austenite and martensite; s3, on the basis of the free energy model, constructing a multi-field partial differential control model coupling phase field evolution, element diffusion and heat conduction; and S4, in combination with the multi-field partial differential control model, determining an interface adsorption parameter, a diffusion coefficient and a thermophysical parameter based on experimental characterization data. According to the method, path parameters are optimized through a multi-field partial differential control model and tissue deviation feedback, and accurate control of the phase change tissue and dynamic closed-loop adjustment of the machining process are achieved.

The invention belongs to the technical field of direct shear-seepage tests of rock joints, and discloses a numerical test method for direct shear-seepage of rock joints under different boundary conditions, which comprises the following steps of: establishing a joint surface numerical model by using finite element software, and performing tests for simulating joint shear mechanical behaviors by applying different boundary conditions. And the contact state and the opening distribution of the joint surface under different shear displacements are obtained, so that the shear stress evolution mechanism of the joint surface is better revealed, and the mechanical behavior of the rough joint surface in the shear process is accurately expressed. According to the method, the evolution law of mechanical properties in the joint shearing process can be reflected, the influence of shearing deformation on the joint seepage characteristics can be reflected, joint opening data distribution is imported into programming software to be processed, a joint seepage numerical model is constructed, then multi-physics field simulation analysis software is imported, and the joint seepage performance is improved. The flow velocity, the osmotic pressure and the streamline distribution characteristics in the flowing process are calculated, so that the joint permeability characteristics are analyzed.

The invention belongs to the technical field of mechanical property testing, and particularly discloses and provides a coal rock sample mechanical property intelligent testing system and method.The coal rock sample mechanical property intelligent testing system comprises a consistency verification module, a test piece dividing module, a density testing module, a triaxial testing module and a report generating module; standardized screening is carried out on the size, morphology and structural integrity of the test piece, physical characteristics are ensured to be unified, individual difference interference is avoided, then density and triaxial testing are integrated, density, triaxial compressive strength and shear strength parameters are synchronously obtained, a multi-dimensional data system is constructed, the problem that in the prior art, parameters are single is solved, and the test efficiency is improved. The method comprehensively supports comprehensive evaluation of coal rock mechanical properties, and meanwhile, by outputting a structured report containing a measured value, an adaptive threshold value, a judgment result and an unqualified item and clearly marking the unqualified item, the limitation that manual secondary processing is needed in the prior art is solved, seamless connection of testing, evaluation and engineering application is achieved, and the engineering application value is improved.

The invention discloses a construction method and device of a metal material performance prediction model, equipment and a medium. The method comprises the following steps: constructing an initial graph neural network; acquiring a three-dimensional volume element structure of the specified metal material and mechanical property data corresponding to the three-dimensional volume element structure; describing the three-dimensional volume element structure as an undirected graph structure; constructing a target data set by using the undirected graph structure and the mechanical property data; and performing iterative training on the initial graph neural network through the target data set to obtain a metal material performance prediction model. Therefore, the undirected graph structure of the three-dimensional volume element structure is used as a bridge, the metal material performance prediction model between the complex three-dimensional volume element structure and the mechanical performance data is established through the graph neural network, the model can rapidly and precisely predict the macroscopic performance of the metal material, the cost is low, and the method is easy to implement. And the requirements of rapid iteration and real-time feedback of the macroscopic performance of the material in engineering design can be met.

The invention provides a large cavern group design method for a hydropower station under an extremely high crustal stress condition. The method comprises the following steps: S1, analyzing a three-dimensional initial crustal stress field of a factory; s2, rock mass mechanical characteristic analysis; s3, underground powerhouse cavern group surrounding rock stability analysis; s4, carrying out design analysis on an anchor cable pre-tightening coefficient and a supporting opportunity; s5, performing micro-seismic early warning analysis on deformation and fracture of the surrounding rock of the cavern group of the underground powerhouse; and S6, providing underground powerhouse rockburst criteria in combination with measured rockburst data: providing underground powerhouse rockburst occurrence and evolution mechanisms based on rock mass characteristics, rockburst characteristics, micro-seismic data and monitoring results, analyzing surrounding rock stress release, relaxation and deformation characteristics, and evaluating surrounding rock stability. The design safety and reliability of the large cavern group of the hydropower station are improved, the construction risk and cost are remarkably reduced, and meanwhile the requirement for environmental protection is met. The improvement measures act together to ensure smooth implementation and long-term stable operation of an engineering project.

The invention provides a method and a system for predicting residual compression strength of a carbon fiber composite material after lightning stroke, and belongs to the technical field of electric digital data processing. According to the method, by considering the pyrolysis degree of the lightning stroke CFRP composite material, the non-linear mechanical property parameters related to the pyrolysis degree actually measured based on the test and the thermal and mechanical damage results predicted based on the electric-thermal-mechanical multi-physics field coupling model are calculated; an actually measured nonlinear mechanical property thermal damage factor and a mechanical damage factor caused by impact damage are introduced into a constitutive relation of the CFRP composite material, and a finite element simulation method capable of quantitatively predicting the residual compression strength after lightning stroke is established by virtue of finite element software ABAQUS; the problems that in the prior art, the influence mechanism of lightning stroke damage on the mechanical property of the CFRP composite material is not clear, and a simulation modeling method capable of being directly used for calculating and predicting the residual compression strength after lightning stroke is lacked are solved.

The invention relates to the technical field of low-temperature studs and bolts, and discloses a low-temperature stud steel hardenability optimization treatment method which comprises the steps of S1, a pretreatment method, S2, quenching method optimization, S3, tempering method optimization, S4, a post-treatment method and S5, a performance verification method. According to the method, the low-temperature impact stability is remarkably improved, the low-temperature impact energy of the material at about-100 DEG C can stably reach 35 J or above by accurately controlling the proportion of alloy elements and optimizing the heat treatment process (for example, the tempering temperature is increased to 640 DEG C or above and the heat preservation time is prolonged), the low-temperature impact energy is improved by about 20%-30% compared with a traditional process, and the problem that the low-temperature impact performance of the wire rod fluctuates is thoroughly solved; and the service safety in a low-temperature environment is ensured.