2173 results about "Elastic modulus" patented technology

The invention discloses a deep learning-based intelligent identification method and system for rock and soil mechanical parameters, and aims to accurately identify the elastic modulus, strength parameter and permeability coefficient of rock and soil and support the decision and design of engineering projects under complex geological conditions. And starting from data demand analysis, determining a parameter identification target and planning a field test layout. A basic data set is constructed by comprehensively collecting and integrating multi-source data including laboratory and field test data, remote sensing information and the like. The data is pre-processed and analyzed to remove noise and explore associations between the data. The method comprises the following core steps: constructing a rock-soil mechanical model by using a deep learning algorithm, and realizing high-precision inversion of parameters by defining and optimizing an objective function. And verifying an inversion result and carrying out uncertainty analysis. According to the method, an analysis result is fed back to engineering design adjustment and decision support, and scheme optimization is achieved. The model and strategy are dynamically adjusted through continuous monitoring and real-time data, and safety and high efficiency of engineering implementation are guaranteed.

The invention provides a macroscopic finite element simulation analysis method and device for a sealing element considering plastic deformation, and belongs to the field of sealing element design. The method comprises the following steps: acquiring an engineering stress-strain curve of a plastic material in a compression state; converting the engineering stress-strain curve into a real stress-strain curve; determining a yield limit, and taking a strain point corresponding to the yield limit as a demarcation point of elasticity and plastic deformation; an elastic section of a real stress-strain curve is extracted, the elastic modulus is calculated, and the Poisson's ratio is obtained through axial and transverse strain measurement in a uniaxial compression test; a true stress-strain curve plastic section is extracted, and a multi-linear isotropic hardening model is established; constructing a complete elastic-plastic constitutive model covering the elastic deformation area and the plastic deformation area; the stress distribution, the strain response and the contact performance of the plastic sealing element in a compression deformation state are simulated. According to the method and the device provided by the invention, the problem that the result does not conform to the reality due to the fact that only elastic modulus and Poisson's ratio are used in existing sealing element simulation can be solved.

The invention relates to the technical field of bolt tightening, and provides an intelligent bolt tightening control method and system based on axial force measurement. Comprising the steps of collecting bolt identification and process parameter data, collecting temperature measurement data, and obtaining sound velocity compensation parameters and elastic modulus compensation parameters. And zero-load preloading data are collected and processed to generate zero-load baseline data, and a self-calibration model is obtained. Axial force data and ultrasonic echo data are collected, and an axial force fusion estimation result is obtained. And comparing an axial force fusion estimation result with target axial force data. And when in the target interval, fine twisting control is carried out based on model predictive control and a micro-stepping strategy, and the controllable damping unit is driven to carry out energy absorption and stopping. And acquiring an axial force fusion estimation result when the target axial force is reached, processing the data in the holding stage to obtain an axial force rebound check result, and if the axial force rebound check result exceeds the limit, performing secondary twisting control. According to the scheme, refinement and traceability of the bolt tightening process are achieved.

The invention discloses an underground pipe network construction drawing generation and verification method and system based on image recognition, relates to the technical field of construction drawing verification analysis, and solves the technical problem that in the verification process, detection of pipe network element integrity and space conflicts is not comprehensive and efficient enough. According to the method, extracted pipe network element data is compared with original design data element by element, verification is carried out from element types, number, attributes and other dimensions, whether a construction drawing is complete or not can be rapidly and accurately judged, missing or wrong elements can be found in time, and a minimum rectangular bounding box and a three-dimensional projection overlapping judgment algorithm are utilized to judge whether the construction drawing is complete or not. According to the method, the space conflicts among the pipe network elements can be efficiently detected, the conflict detection efficiency and accuracy are improved, the overlapped elements are classified according to the elastic modulus of the element material, the hard and non-hard overlapped elements are subjected to targeted analysis, whether design conflicts exist or not can be judged, and a more scientific basis is provided for design optimization.

The invention provides a data correction method and system combined with lattice structure additive manufacturing process characteristics, and the method comprises the steps: firstly employing a Newton iteration method, taking the radius of a pillar as a variable, optimizing the relative density of an iteration target and generating a lattice structure geometric model under the condition that a process constraint condition is satisfied, and extracting actual geometric parameters after forming through CT scanning, the elastic modulus is corrected through the pillar diameter deviation and the defect volume fraction, a compression failure mechanism is combined, a density-related failure criterion is introduced, a nonlinear relation with the relative density is constructed through specific energy absorption data, material plasticity parameters are inversely optimized, and a defect coupling evaluation model is constructed according to the surface powder sticking rate and the pillar diameter deviation. And establishing a Gaussian mixture model based on a stress-strain curve to screen out abnormal data, and finally fusing the parameters to construct a data correction model. The dot matrix structure design precision can be improved, and then a high-quality data basis is provided for performance prediction-structure design two-way feedback.

An electronic device may include a display, a cover layer overlapping the display, and a housing have housing sidewalls. An encapsulant material may surround at least part of the display and may be used to couple the cover layer to the housing sidewalls. A rigid outer material having a higher elastic modulus than the encapsulant material may also be used to couple the cover layer to the housing sidewalls. The rigid outer material may be a molded material that surrounds an outer perimeter of the encapsulant, or the rigid outer material may be a metal or plastic frame member having a C-shaped cross-section or other geometry. The display may overlap the housing sidewall. The encapsulant may absorb mechanical stresses on the cover layer to protect the display, whereas the rigid outer material may transfer mechanical stresses on the cover layer to the housing.

The invention discloses a rock crack evolution numerical simulation method based on data analysis, and relates to the technical field of rock mechanics engineering numerical simulation, and the method comprises the following steps: S1, obtaining microstructure data of a target rock, including a CT scanning image, an SEM image and mineral energy spectrum data; and S2, constructing a spatial distribution dynamic mechanical parameter field based on the microstructure data. According to the rock crack evolution numerical simulation method based on data analysis, a dynamic mechanical parameter field driven by a microstructure is constructed, so that the inherent defect that rock is simplified into a homogeneous material in a traditional method is overcome; microscopic characteristics such as mineral hardness gradient, grain boundary strength distribution and pore morphology are effectively quantified into an elastic modulus field, a tensile strength field and a fracture energy field which are spatially distributed, so that the numerical prediction of crack initiation and expansion truly reflects the inherent heterogeneity of the rock for the first time.

The invention relates to the technical field of construction and the technical field of software, and discloses a fabricated structure evaluation method and device based on a toughness value and carbon emission, and the method comprises the steps: adding the damage volumes of all interfaces, and obtaining the damage amount of a fabricated structure; when the damage amount of the fabricated structure is within the damage range, a repair scheme of the fabricated structure is obtained, and the carbon emission amount of the repair scheme is generated; according to the length of each interface, the inertia moment of the complete part of each interface, the moving distance of the neutral axis of each interface and the contact surface rigidity model, the contact surface rigidity of the fabricated structure is generated, and according to the contact surface rigidity of the fabricated structure, the material elasticity modulus of the fabricated structure and the toughness model, the toughness value of the fabricated structure is generated. And performing specific value calculation on the carbon emission of the repair scheme and the toughness value of the fabricated structure to generate an evaluation value of the repair scheme. According to the invention, the evaluation efficiency of the repair scheme of the fabricated structure can be improved.

The present disclosure relates to an apparatus and method for measuring an elastic modulus. The method of measuring an elastic modulus of a specimen including a conductive material and an insulating material with which a surface of the conductive material is coated includes a first bending test operation of applying a first load to a first surface of the specimen, a second bending test operation of applying a second load to a second surface that meets the first surface of the specimen, a first calculation operation of calculating a first bending elastic modulus of the specimen based on a first value measured in the first bending test operation, a second calculation operation of calculating a second bending elastic modulus of the specimen based on a second value measured in the second bending test operation, and a third calculation operation of calculating an elastic modulus of the conductive material and an elastic modulus of the insulating material based on the calculated first bending elastic modulus and the calculated second bending elastic modulus.

The invention provides an air tightness optimization method for a soft pressurization cabin, and the method comprises the steps: presetting a dynamic sensor array at a specific position where a structure is liable to fail according to a failure risk assessment table, collecting stress concentration data caused by non-uniform pressure distribution in real time, and generating a stress distribution dynamic graph containing a time sequence; the dynamic adjusting device is driven to operate through the homogenized pressure distribution adjusting scheme, pressure field data in the cabin body is updated in real time, whether material fatigue is within the fracture risk range or not is judged, and a fatigue state monitoring report is generated; obtaining a fracture risk index in the fatigue state monitoring report, carrying out iterative adjustment on the fiber weaving density and the elastic modulus of the key area by adopting a material design optimization algorithm, and determining a final structure layout parameter for improving the performance; and extracting a limiting condition of dynamic adjustment difficulty from the final structure layout parameters, simulating a cabin operation state in an extreme environment through a digital twin technology, calculating a boundary value of performance limitation, and obtaining a verification result of performance improvement.

The invention relates to the field of geological exploration and geotechnical engineering, provides a rock mass dynamic mechanical parameter sensing method and system based on while-drilling parameters in order to dynamically obtain rock mass dynamic mechanical parameter characteristics in situ in real time in the drilling process, and provides a rock mass dynamic mechanical parameter sensing method and system based on while-drilling parameters by using multi-modal signals such as vibration, acoustic emission, torque and bit pressure through uniform characteristic engineering and multi-task learning. The instantaneous elastic modulus, the dynamic Poisson's ratio, the transient uniaxial compressive strength, the cohesive force and the internal friction angle can be synchronously and dynamically predicted in single drilling, and the limitation that only a single static parameter is estimated in a traditional method is broken through; a rock mass dynamic mechanical parameter acquisition model constructed on the basis of a multi-modal adaptive graph attention sequential network can effectively couple the physical proximity and the statistical association relationship of a sensor, and integrates expansion sequential convolution and a time perception Transform module, so that the characterization capability of emergencies (such as jamming / friction resistance) and long-term trends is considered on the premise of low time delay; therefore, the prediction accuracy is improved.

The invention provides a topology and morphology integrated optimization design method for a thin-walled structure. The method comprises the steps that 1, a finite element model is established according to design requirements; 2, extracting a thin-wall structure morphology distribution field # imgabs0 # through two-step partial differential equation filtering and Heavide projection operation; 3, constructing a material attribute rational approximation model in combination with the thin-wall morphology distribution field # imgabs1 # and the topological density field v obtained in the step 2, thereby obtaining an elastic modulus E and mass rho in a design domain; 4, performing finite element analysis in combination with the material interpolation model, and calculating the flexibility of the structure; 5, solving to obtain the sensitivity of the structure flexibility and the quality relative to the design variables; step 6, updating the morphology design variable mu and the topology design variable v of the thin plate by adopting a moving asymptote method; and step 7, when a convergence condition is satisfied, stopping optimization iteration and outputting an optimization result. According to the method, the maximum forming angle of the thin-wall structure is controlled by adjusting the filtering radius of the anisotropic filter, and the stamping forming process is met.

The invention relates to a tire structure aging prediction method, in particular to a method, a system and a program product for predicting aging and damage risks of a tire multilayer structure. According to the method, nanoindentation testing is carried out on all layers (an airtight layer, a transition layer, a tread layer and the like) of the tire at different time points, elastic modulus data are obtained, and the modulus variation is calculated. And performing numerical solution on the diffusion behavior of oxygen in each layer in combination with a Fick diffusion equation, establishing a concentration-modulus coupling model, extracting an aging rate and a critical modulus change threshold, and realizing prediction of failure time of each layer, thereby evaluating the overall remaining life and safety risk of the tire. The system integrates a data acquisition module, a temperature control module and an automatic analysis module, has the advantages of high detection precision, quick response, accurate prediction and the like, and can provide a scientific basis for tire design optimization and maintenance management.

The invention discloses an orthotropic rock physical modeling method. The method comprises the following steps: S1, obtaining tight reservoir parameters; s2, estimating the elastic modulus of the mixed minerals; s3, enabling the mixed mineral to be equivalent to a VTI background rock matrix caused by a thin layer; s4, matrix pores are added into a VTI background rock matrix; s5, embedding the vertical crack into the VTI background'dry 'rock skeleton to obtain an OA medium'dry' rock skeleton; s6, calculating the bulk modulus and saturated rock density of the mixed fluid; s7, adding the mixed fluid into the OA medium'dry 'rock skeleton to obtain OA medium saturated rock; s8, calculating longitudinal and transverse wave velocities and anisotropy parameters of OA medium saturated rocks; and S9, calculating OA medium saturated rock. According to the method, the tight reservoir with the orthotropic characteristic can be simulated, the Thomsen parameter and the fracture weakness parameter of the tight reservoir can be obtained, and data support is provided for fracture evaluation, anisotropic parameter inversion, permeability prediction and the like of the tight reservoir.

The invention discloses a landslide construction simulation method based on finite elements, particularly relates to the field of construction simulation, and realizes whole-process dynamic simulation through GTS-NX software. Firstly, a three-dimensional finite element model is established based on geological exploration data, a Mohr-Coulomb elastic-plastic constitutive model is adopted, and the bulk modulus and the shear modulus are calculated through the elastic modulus and the Poisson's ratio. The initial ground stress is simulated by adopting a self-weight stress field method, and the initial displacement influence is eliminated by adopting a displacement difference method. In construction process simulation, the unit passivation / activation technology is adopted to accurately reproduce the excavation and support time sequence, and cyclic calculation of excavation-stress release-support-balance is achieved. In nonlinear analysis, superposition of an elastic stress field and a plastic stress field is considered, and an unloading influence factor is introduced to correct anisotropy of a deformation modulus. A safety coefficient is calculated through a strength reduction method, a multi-working-condition evaluation system is established, a monitoring data fusion and parameter inversion mechanism is developed, and a three-level early warning system is formed.

The invention discloses a glass ceramic and a preparation method thereof, and an electronic equipment cover plate and an electronic equipment cover plate assembly prepared from the glass ceramic, the overall crystallinity of the glass ceramic is 60%-95%, the crystalline phase is lithium disilicate and petalite, and the weight ratio of the lithium disilicate crystalline phase to the petalite crystalline phase is greater than or equal to 1.5. The microcrystalline glass provided by the invention has specific glass composition and crystalline phase structure, and by utilizing the synergistic effect of the glass composition and the high lithium disilicate crystalline phase structure, not only is the microcrystalline glass product endowed with high elastic modulus, but also the microcrystalline glass product can obtain an expected stress structure after chemical strengthening treatment; particularly, the high center tensile stress (CT-CV) and the large average tensile stress (CT-AV) are achieved.

The invention relates to the technical field of medical elastography and material multi-scale mechanical measurement, in particular to an elastography method and system based on an instantaneous scattering displacement field, and the method comprises the steps: driving a passive / active method scattering displacement field excitation device through a frequency domain controllable sine wave signal, and generating a scattering displacement field on a target material, an instantaneous displacement field is obtained through high spatial resolution measurement, then sliding window local interception, two-dimensional autocorrelation calculation and nonlinear fitting based on the Rayleigh / shear wave spatial autocorrelation theory are performed on the single-frame instantaneous displacement field, shear wave velocity distribution is obtained, and then the viscoelasticity modulus of a target area is inverted to achieve comprehensive characterization of the viscoelasticity of the material. According to the scheme, the single-frame scattering displacement field is excited and collected, and the elasticity inversion is performed based on the instantaneous displacement field, so that the dependence of traditional elasticity imaging on high-frame-rate equipment is broken through, the material viscoelasticity evaluation can be efficiently completed at low cost, and the application prospect in the fields of clinical diagnosis and mechanical measurement is wide.

The invention discloses a concrete arch dam global structural mechanical parameter zoning rapid inversion method, and relates to the technical field of dam operation safety monitoring and management, and the method comprises the steps: building a dam body and foundation three-dimensional finite element model through finite element software according to engineering design and monitoring data, and building a foundation three-dimensional finite element model according to damming material mechanical parameter information; partitioning the three-dimensional finite element model, analyzing the sensitivity of mechanical parameters of each region, determining sensitive mechanical parameters influencing the deformation of the concrete arch dam, and carrying out self-adaptive intelligent sampling on the sensitive mechanical parameters according to a sensitivity analysis result, and constructing a deep learning agent model reflecting a nonlinear relationship between the sensitive mechanical parameters of the dam and the deformation of each monitoring point, and carrying out deep learning inversion on the elastic modulus of the dam body and the deformation modulus of the bedrock. According to the invention, the method can efficiently and accurately invert and determine the structural mechanical parameters of the arch dam in the actual operation period, and provides a good basis for the safety analysis of the dam.

The invention is suitable for the technical field of oil and gas resource exploration, and provides a tight sandstone gas reservoir microfracture prediction method based on elastic modulus frequency dispersion inversion. According to the method, a rock physical model is constructed based on an equivalent embedded body stress averaging theory, frequency dispersion attributes are defined through elasticity modulus differences in a non-relaxed state and a relaxed state, and a microfracture parameter influence mechanism is disclosed; inversion is driven by a non-relaxed state model, the calculated elastic modulus frequency dispersion attribute and the microfracture density are in significant positive correlation, the quantitative correlation of the two is verified through measured data, and the inversion precision of the microfracture characteristics in the well is improved; an L-BFGS algorithm is introduced to carry out seismic inversion, frequency dispersion attribute quantitative prediction of pre-stack seismic data is realized, physical consistency between logging and seismic data is ensured, traditional limitation is broken through, a micro-fracture development area of a gas production well target layer is successfully identified in practical application, and the method has a good application prospect. And an effective solution is provided for high-precision prediction of the regional scale of the compact sandstone gas reservoir microcracks.

The invention discloses a layered foundation construction optimization method based on dynamic loading and intelligent inversion, and relates to the technical field of intelligent geotechnical engineering. In order to solve the problem that comprehensive analysis and optimization design of multiple layers of soil bodies are difficult to carry out in the prior art, the invention provides the following technical scheme: the layered foundation construction optimization method based on dynamic loading and intelligent inversion is characterized by comprising the following steps: S1, applying a dynamic load on a known layer of soil body; s2, acquiring response data, including acceleration, displacement and stress, of the soil body under the action of the dynamic load through a sensor; s3, deducing the dynamic response of the lower-layer soil body by using an inversion algorithm based on the acquired response data; s4, analyzing dynamic response characteristics of each layer of soil body; and S5, optimizing the compactness and the elastic modulus of the soil layer. The method can improve the accuracy and efficiency of soil dynamic response analysis, is suitable for mechanical property optimization in complex foundation engineering, and has wide engineering application value.

The application provides a kind of fast curing acrylic glue and application, the fast curing acrylic glue is prepared from the following components according to weight parts: butyl nitrile rubber of terminal methacrylate is 13-17 parts;Polyurethane acrylate is 5-8 parts;Monofunctional acrylate monomer is 14-20 parts;Two functionality acrylate monomer is 7-13 parts;Three functionality acrylate monomer is 1-3 parts;Peroxide is 0.5-1.5 parts;Polymerization inhibitor is 0.01-0.04 parts;Coupling agent is 0.5-0.7 parts.The acrylic glue provided by the application has the advantages of fast curing, low volume resistivity after adding silver powder curing, good bonding strength, moderate elastic modulus, and can be used for photovoltaic tile conductive silver glue.

According to the elastic fabric provided by the invention, the TPU fiber is used as an elastic fiber material of the elastic fabric, the TPU fiber is processed into the elastic yarn, and the woven fabric with excellent elasticity and good hand feeling is obtained through the structural design of the elastic yarn and the fabric in combination with a corresponding processing textile dyeing and finishing process. According to the elastic fabric and the preparation method thereof, the elastic fabric has excellent elasticity, the warp-direction elastic elongation of a woven fabric can reach 35-70%, the weft-direction elastic elongation of the woven fabric can reach 80-130%, the warp-direction elastic elongation of a knitted fabric can exceed 180-250%, and the weft-direction elastic elongation of the knitted fabric can reach 250-360%; the fabric is low in elasticity modulus and low in elastic recovery rate, and clothes made of the fabric are weak in constraint feeling when worn; a special wrinkle style can be obtained on the surface of the fabric, and the fabric has excellent hand feeling; the invention further provides a method for stably processing and preparing the elastic knitted fabric.

The present invention discloses an elastic modulus measuring device and a measuring method. Among them, the elastic modulus measuring device includes: a base; a first shielding member located on the base; a second shielding member vertically arranged on the base; the first shielding member and the second shielding member cover the surfaces on different sides of the sample to be measured and form a cavity for accommodating the sample to be measured; a test piece located on the first shielding member and the second shielding member and attached to the sample to be measured, the test piece is configured to obtain the deformation amount of each surface of the sample to be measured placed in the test environment; and a measuring unit configured to obtain the bulk elastic modulus of the sample to be measured based on the deformation amount. The measuring device of the embodiment of the present invention effectively improves the measurement accuracy and measurement efficiency, and has a wide application prospect.

The present invention pertains to a toothed belt provided with a back section in which a core wire extending in the circumferential direction of the belt is embedded, and two or more tooth sections formed on the inner circumferential surface of the back section at intervals in the circumferential direction of the belt, the toothed belt includes a back rubber layer formed on the outer circumferential side of the belt with respect to the core wire, and a first rubber layer and a second rubber layer formed on the inner circumferential side of the belt with respect to the core wire, the back portion includes the back rubber layer, the elastic modulus of the first rubber layer is greater than the elastic modulus of the second rubber layer, and the elastic modulus of the second rubber layer is greater than the elastic modulus of the first rubber layer. The first rubber layer is formed from a first cross-linked rubber composition containing a first rubber component and first short fibers, the ratio of the first short fibers being 5-60 parts by mass per 100 parts by mass of the first rubber component, and the first short fibers being oriented in the longitudinal direction of the belt along the outlines of the teeth. The core wire includes a high elastic modulus fiber, and the tooth portion includes the first rubber layer and the second rubber layer interposed between the first rubber layer and the core wire.

The invention relates to a non-probabilistic fatigue reliability analysis method for a controllable-pitch propeller hub mechanism under data driving, which comprises the following steps of: considering multiple uncertain sources such as elastic modulus and friction coefficient, modeling each part of the controllable-pitch propeller hub mechanism through parameterization to obtain a finite element model under different uncertain variable values; drawing a fatigue load spectrum by using a finite element simulation load result, and performing fatigue simulation by combining an S-N curve to obtain the fatigue life of each part; and obtaining a non-probability interval model of the fatigue life of each part by using a data-driven agent model and a Monte Carlo method under a limited fatigue life sample condition, and calculating the fatigue reliability of each part by using a non-probability area method. A data driving method is adopted, so that the problems of high cost and time consumption of obtaining enough data in actual engineering are avoided; fatigue reliability analysis is carried out by adopting a non-probabilistic method, so that uncertainty in engineering can be better dealt with, and the fatigue reliability of the controllable-pitch propeller hub mechanism can be more comprehensively evaluated.

The invention relates to a defect detection method and system based on multi-modal feature fusion. The method comprises the following steps: acquiring multi-modal data of a transformer; predicting based on the multi-modal data through the fusion prediction model, and outputting an elastic modulus distribution diagram of the insulating material in the transformer; carrying out super-resolution enhancement on the elastic modulus distribution diagram based on a physical constraint diffusion model; and positioning the defects of the transformer through a time reversal algorithm on the basis of the internal Young modulus distribution and the super-resolution elastic modulus distribution diagram of the transformer. According to the invention, the problems of feature loss, large single modal error, fuzzy fractal defect reconstruction, insufficient defect positioning precision and the like caused by signal attenuation in traditional detection are solved. According to the method, the signal-to-noise ratio and modulus distribution prediction precision of the signal is remarkably improved, micron-order super-resolution reconstruction is achieved, winding deformation and insulation layering are accurately distinguished, harm is quantified, traditional imaging limitation is overcome, and a high-precision and physically consistent basis is provided for transformer state evaluation and maintenance.

The invention discloses a high-performance zinc alloy with a gradient structure and a preparation method and application thereof, and belongs to the technical field of metal material processing. The high-performance zinc alloy with the gradient structure is characterized in that the grain sizes of upper, middle and lower areas of the alloy are in fine-coarse-fine distribution, the grain sizes of the upper and lower areas are smaller than or equal to 2 microns, the grain size of the central area is 5-20 microns, and the grain size of a transition area between the upper and lower areas and the central area is 2-15 microns; meanwhile, all the areas are accompanied with MnZn13 nano precipitated phases with the size smaller than or equal to 50 nm. The alloy shows excellent deformation resistance and thermal mechanical stability, the elasticity modulus of the alloy can at least reach 125 GPa, meanwhile, the alloy shows excellent corrosion resistance, and the alloy is particularly suitable for biomedical implantation instruments such as intravascular stents and bone nails.

Disclosed are lattice materials including a truss structure obtained by arranging struts to form at least two triangles on each side of a polygon (i.e., a triangle, a quadrilateral, or a hexagon), which are used in many engineering fields, especially in materials engineering. The elastic modulus values per unit weight of many of the lattice materials produced from the truss structure are higher than those of the most existing cellular solids with stochastic cell distributions and many existing lattice materials. Using the truss structure disclosed herein, it is possible to produce two-dimensional (planar) lattice materials as well as spherical or tubular lattice structures in the form of a first cylindrical tube or a second cylindrical tube.

The invention relates to the technical field of bearing life calculation, in particular to a transmission bearing installation pre-tightening amount calculation method and system, and the method comprises the steps: S1, building a finite element mesh model of a transmission housing and a shaft through finite element simulation software based on predefined material attributes; the material attributes comprise elastic modulus, Poisson's ratio and thermal expansion coefficient of the transmission shell and the shaft; s2, based on the actual working condition of transmission assembly life simulation analysis, importing the finite element mesh model of the transmission shell and the shaft into a pre-constructed multi-body dynamics simulation model of the transmission shell, and establishing node connection between the finite element mesh model of the transmission shell and the shaft and a transmission part in the multi-body dynamics simulation model; s3, setting a detection object and a design variable, and adopting a preset strategy to obtain a target mapping curve of the detection object and the design variable; compared with the prior art, the optimal relation between the pre-tightening amount and the service life of the bearing can be quickly determined, so that the service life of the bearing is maximized.

The invention discloses a tunnel surrounding rock comprehensive elastic modulus testing method and system based on a surface wave method, and relates to the technical field of tunnel surrounding rock elastic model testing, and the method comprises the steps: collecting surface wave signals through detectors in a plurality of detection holes preset in a tunnel wall on the premise of exciting a seismic source signal; performing signal conversion on each preprocessed surface wave signal to obtain a plurality of first signals of a frequency domain type; performing smooth summation processing on the first signals subjected to the linear dynamic correction processing to obtain an output result; obtaining corresponding surface wave energy data through the output result, and obtaining a corresponding surface wave frequency dispersion curve based on extraction of the surface wave energy data; according to the surface wave dispersion curve, surface wave velocities of different depths in the surrounding rock are obtained through inversion, and the comprehensive elastic modulus of the tunnel surrounding rock is obtained through calculation based on the surface wave velocities; testing is carried out based on a surface wave method, drilling and coring are not needed, and the method has the advantages of high testing efficiency, low cost, small disturbance to surrounding rock and the like.