49 results about "Strain gradient" patented technology

The invention discloses a loess tunnel surrounding rock deformation monitoring method, and relates to the technical field of civil engineering and geological engineering, and the method comprises the steps: integrating a spiral winding type optical fiber sensor, a double-cavity humidity compensation vibrating wire sensor and a microseismic array, and capturing surrounding rock strain, vibration and geological activities; the vibrating wire sensor suppresses humidity interference through a silicone oil damping medium and self-adaptive excitation frequency, and the optical fiber sensor is fixed through a pre-embedded silica gel sleeve to adapt to surrounding rock deformation; edge computing nodes are deployed on the inner wall of the tunnel, an FPGA chip and a lightweight GRU model are integrated, optical fiber strain, a micro-seismic energy spectrum and laser point cloud displacement field data are fused in real time, the strain gradient is analyzed, and a crack propagation probability cloud picture is generated; redundant optical fiber link switching is combined with a six-degree-of-freedom mechanical arm to realize breakpoint self-repairing, and a self-cleaning air curtain is integrated to inhibit dust adhesion; and constructing a geological parameter library based on a BIM-GIS fusion platform, driving a finite element-discrete element coupling model to dynamically update boundary conditions, and predicting surrounding rock deformation and collapse risks.

The invention relates to an intelligent soft rock tunnel surrounding rock deformation automatic monitoring and early warning system, and belongs to the field of tunnel construction safety monitoring. According to the system, multi-source data of surrounding rocks are synchronously acquired through a micron-sized laser displacement sensor, a fiber grating strain sensor, a pore water pressure sensor and a three-dimensional micro-seismic sensor array which are distributed; the edge calculation node fuses the data in real time and calculates the displacement rate, the strain gradient and the osmotic pressure coupling coefficient, and local early warning is triggered in combination with a dynamic threshold value; the cloud early warning platform predicts a deformation trend based on an LSTM-Transform fusion model, generates a multi-stage early warning signal through a risk grading engine, and is linked with the supporting equipment to regulate and control pressure; and meanwhile, a self-calibration device, an explosion-proof shell and a piezoelectric-thermal energy self-powered system are integrated. According to the method, closed-loop control from millimeter-level deformation sensing to active supporting can be achieved, and tunnel construction safety is remarkably improved.

The invention relates to a tunnel crack monitoring method, system and device and a medium, and belongs to the technical field of tunnel monitoring, and the monitoring method comprises the steps: obtaining a three-dimensional model and a geological parameter library of a to-be-monitored tunnel, and constructing a sensor network topology structure; deploying a sensor network based on the sensor network topology structure; receiving static strain data and dynamic vibration data, collected by the sensor network, of each monitoring point in the tunnel; performing space-time alignment on the static strain data and the dynamic vibration data, eliminating environmental interference based on a pre-trained noise spectrum feature library, and generating a cleaned structured data table; extracting a strain gradient characteristic value and a dynamic chaos characteristic value in the structured data table, inputting the strain gradient characteristic value and the dynamic chaos characteristic value into a multi-stage classification model for crack type identification and risk grade evaluation, and generating a crack risk grade map; and generating corresponding maintenance prompt information according to the crack risk grade map. According to the invention, the comprehensiveness and accuracy of tunnel monitoring can be improved.

The invention relates to the technical field of transformer substations, and particularly discloses a transformer substation channel cover plate data acquisition and intelligent analysis management system and method, and the method comprises the steps: collecting cover plate vibration data and strain data through an acceleration sensor and a resistive strain gauge; vibration direction change, vibration attenuation and cover plate deformation springback time are extracted from acceleration data, the maximum amplitude, the change rate and the strain gradient are extracted from strain data, and the stress deformation characteristics of the cover plate are comprehensively represented; based on the stress deformation and springback characteristics of the cover plate, a damage evaluation model is established by adopting a neural network model, and intelligent judgment of the damage degree of the cover plate is realized; predicting a damage change trend by using a neural network, and calculating a cover plate damage acceleration trend; and according to the damage evaluation result and the damage acceleration trend, calculating the remaining to-be-maintained time of the cover plate, and automatically triggering operation and maintenance early warning when the remaining to-be-maintained time is lower than an early warning threshold value. According to the method, intelligent monitoring, prediction and active operation and maintenance management of the health state of the cover plate can be realized.

The invention relates to an energy-calculation integrated optical calculation chip element based on a photovoltaic effect and a preparation method and application thereof, and relates to the technical field of optical calculation and photovoltaics. The component comprises a substrate layer, a conductive electrode, a conductive contact piece, a flexural photovoltaic layer and a photoinduced strain layer, light energy entering the flexural photovoltaic layer is converted into electric energy due to the photovoltaic effect, and the photoinduced strain layer in physical contact with the flexural photovoltaic layer is irradiated by a special light beam to generate strain. The strain of the photoinduced strain layer enables the flexural photovoltaic layer in contact with the photoinduced strain layer to generate local strain regulated and controlled by a light beam, and photocurrent generated by the flexural photovoltaic layer due to a photovoltaic effect is subjected to strain regulation and control due to local strain gradient of a material. Compared with the prior art, the element integrates a photovoltaic effect and an optical calculation function, can simultaneously realize conversion from optical energy to electric energy and electric signal output of an optical calculation result through a single element, is a new generation of energy-calculation integrated optical calculation element, and can be used as a core calculation element of a green low-carbon chip.

The invention provides a blasting vibration waveform feature extraction and damage range intelligent calibration system. The method comprises the following steps: calculating a waveform irregularity sequence based on original vibration waveform data; then, a fiber grating sensor network is used for collecting strain vibration waves on the surface of the structure, and spatial distribution information of the strain change rate of the structure is mapped into a feature enhancement channel; learning a feature distribution mode based on the waveform data processed by the feature enhancement channel by using a coding and decoding structure, and performing reconstruction operation on the current blasting vibration waveform according to the feature distribution mode; identifying and amplifying abnormal feature differences by comparing an actual waveform irregularity sequence with a reconstruction sequence, and generating reconstruction error peak distribution; and finally, when the strain gradient abrupt change point position detected by the optical fiber sensor network is overlapped with the reconstruction error peak point space, generating a blasting damage area thermodynamic diagram based on the overlapped point space density. The precision and reliability of blasting damage range calibration are improved.

The invention provides an underwater vehicle measuring point layout optimization method and system, and belongs to the technical field of experimental measuring point layout optimization. Comprising the following steps: obtaining simulation data of an underwater vehicle structure through finite element simulation, and extracting strain data of a unit capable of arranging a strain gauge area according to actual engineering constraints; centroid coordinates of the units, sensitivity values of strain response values relative to working conditions and strain gradients are calculated by taking centroids of the units in the areas where the strain gauges can be arranged as nodes; mapping the strain response values of all the nodes to a unified interval to obtain a normalized strain response value; obtaining sensitivity coverage and strain gradient coverage, and calculating space coverage of all nodes; integrating the normalized strain response value, sensitivity coverage, strain gradient coverage and space coverage as optimization indexes, and performing optimization by adopting an improved discrete artificial bee colony algorithm; and a final layout scheme is decided by outputting the relationship between the number of the measuring points and the information amount.

The invention relates to the field of deformation monitoring, in particular to an underground pipeline deformation real-time monitoring method and device, equipment and a medium. The method comprises the steps that through real-time connection with equipment such as an optical fiber sensor and a three-dimensional laser scanner, spectral signals can be received in real time, three-dimensional point cloud data can be collected, and data collection delay is avoided. In a data processing link, whether a strain distribution map is generated based on a spectral signal or a deformation displacement vector is determined from three-dimensional point cloud data, an efficient algorithm is adopted to quickly complete calculation and analysis, and the data processing time is greatly shortened. Moreover, the electronic equipment continuously monitors the strain distribution map and the deformation displacement vector in real time, and once it is monitored that the strain gradient and the displacement change rate of the monitoring node in the pipeline deformation field model exceed threshold values, an early warning mechanism is triggered immediately, deformation early warning information is generated, and the real-time performance of underground pipeline deformation monitoring is improved.

The invention provides a gravity dam crack control construction device and process based on strain gradient construction, and belongs to the technical field of gravity dams. The construction device comprises an outer pipe assembly and an inner pipe assembly used in cooperation with the outer pipe assembly. The technology comprises the steps of S1, construction preparation, S2, foundation treatment, S3, formwork steel bar installation, S4, outer pipe assembly installation, S5, concrete pouring, S6, hole cavity construction, S7, inner pipe assembly positioning and installation, S8, outer layer stress absorbing material filling, S9, inner pipe assembly pipe drawing and S10. And filling an inner-layer stress absorbing material to construct a concentric circle type strain gradient structure. A traditional'strong constraint 'anti-cracking thought is broken through, an active anti-cracking mode of'stress absorption + gradient buffering' is turned, two layers of materials can more uniformly share loads through a gradient conduction mechanism, the overall energy consumption efficiency is improved, the anti-cracking effect is more remarkable, the structural durability is enhanced, and the method is particularly suitable for construction of high dams and gravity dams under complex geological conditions and has a wide application prospect. And the method has obvious engineering application value.

The application belongs to the technical field of load identification of structural health monitoring, and provides a concentrated load positioning method based on principal stress constraint and strain gradient trajectory identification, which comprises the following steps: arranging strain sensors in a monitoring area of a planar structure plate and collecting strain data of measuring points, constructing a strain field inversion function based on a radial basis function and establishing an error optimization function containing a fitting error term and a smooth constraint, introducing a principal stress direction constraint and a gradient projection smooth constraint to form a comprehensive error function and solving to obtain an optimal strain field distribution, then calculating strain gradient vectors of each grid node and tracking a gradient trajectory through a gradient descent method, and finally performing an iterative clustering analysis based on distance statistics on a trajectory end point to output a cluster center as a concentrated load application position identification result. The application can improve the concentrated load positioning accuracy, enhance the anti-noise capability, and realize fast, stable and large-sample-free load position identification.

The present invention proposes a construction device and process for controlling cracks in a gravity dam based on the construction of a strain gradient, belonging to the field of gravity dam technology. The construction device includes an outer tube assembly and an inner tube assembly used in conjunction with the outer tube assembly; the process includes S1. Construction preparation, S2. Foundation treatment, S3. Installation of formwork reinforcement, S4. Installation of the outer tube assembly, S5. Concrete pouring, S6. Hole construction, S7. Positioning and installation of the inner tube assembly, S8. Filling the outer layer with stress-absorbing material, S9. Pulling out the inner tube assembly, and S10. Filling the inner layer with stress-absorbing material creates a concentric strain gradient structure. This invention breaks away from the traditional "strong constraint" crack resistance approach and turns to an active crack resistance mode of "stress absorption + gradient buffering." The gradient conduction mechanism allows the two layers of material to share the load more evenly, improving overall energy efficiency, achieving a more significant crack resistance effect, and enhancing structural durability. It is particularly suitable for the construction of high dams and gravity dams under complex geological conditions, and has significant engineering application value.

The invention discloses a tire chip mounting position deviation real-time detection method and system based on vision, particularly relates to the technical field of tire manufacturing quality control, and is used for solving the problem that chip deviation cannot be detected in real time due to a visual blind area in a rolling process in the prior art. The method comprises the following steps: continuously acquiring chip area images when a rolling mechanism acts; extracting chip contour feature points and rubber blank mark points in the image to generate a dynamic displacement vector; tracking a tread pattern unit displacement track to generate a relative strain gradient; decomposing the displacement vector, extracting a texture flow direction angle of the rubber blank, and calculating and correcting a real-time deviation angle; when the correction deviation angle exceeds the limit or the ratio of the displacement component to the strain gradient exceeds the threshold value, irreversible deviation is judged to occur; and a shutdown instruction is triggered before rolling is finished, so that chip offset real-time monitoring and active protection in the whole rolling process are realized.

The invention discloses a welded pipe surface defect detection method. The method comprises the following steps: synchronously acquiring surface image data, surface stress data and surface temperature data of a welded pipe through an acquisition module; a feature extraction module extracts defect contour features from the surface image data, extracts strain gradient features from the surface stress data, and extracts hot spot features from the surface temperature data; calling a pre-trained multi-factor coupling evaluation model through an evaluation calculation module, inputting multi-dimensional characteristics, environment interference parameters and welded pipe diameter parameters, calculating a defect judgment threshold value and completing defect identification; and outputting a defect result and a detection optimization suggestion through a feedback output module. According to the method, the problem that the stress-strain coupling effect, environmental interference and pipe diameter adaptability are ignored in existing detection is solved, and the defect detection accuracy and applicability are improved.

The present invention provides a method for shear instability criterion of heterogeneous materials, which specifically includes the following steps: (1) Conduct mechanical property tests on jet materials under various dynamic conditions to obtain the JC dynamic constitutive relationship of heterogeneous materials; (2) Conduct perturbation analysis on the materials based on the JC dynamic constitutive relationship to obtain the shear instability criterion of the materials; (3) Substitute the JC dynamic constitutive parameters into the shear instability criterion to obtain the critical strain of material shear instability. The present invention has a reasonable concept, fully considers the influence of multi-phase inclusions and strain gradient effects of materials on shear instability, can be widely applied to various new heterogeneous materials, and can obtain the shear instability criterion at low cost, efficiently and accurately.

The invention relates to a surrounding rock loose area monitoring method and system based on optical fiber anchor rod strain, and the method comprises the steps: carrying out the temperature compensation of strain distribution information according to the temperature distribution information, and obtaining the real anchor rod strain distribution data; analyzing axial force distribution and shearing force distribution of the anchor rod according to the strain distribution data of the anchor rod, and constructing a section shearing stress distribution model; according to the shear stress distribution model of the anchor rod, analyzing the strain gradient distribution along the axial direction of the anchor rod; according to the axial force distribution and the strain gradient distribution, a loose area boundary identification model is constructed, the strain abrupt change point position of the anchor rod is determined, and the interface of the surrounding rock loose area and the elastic area is represented through the strain abrupt change point; and connecting the strain mutation points of the anchor rods to form a boundary contour line of the surrounding rock loosening area, and measuring the range of the surrounding rock loosening area. According to the scheme provided by the invention, high-precision positioning and dynamic tracking of the surrounding rock loose area boundary and dynamic optimization of tunnel supporting structure design can be realized.

The invention relates to the technical field of steel structure construction, in particular to an intelligent monitoring system and method for large-span steel structure construction, and the method comprises the steps: deploying a multi-source sensing network integrated with an electromagnetic eddy current sensor, a gyroscope and a photonic crystal strain gauge on the surface of a steel structure, and collecting the micro lattice distortion amount, the low-frequency vibration phase difference and the optical path strain gradient; a dynamic holographic twinborn model is constructed through a holographic interference calculation module, a structural deformation field is extracted by using a quantum annealing algorithm, a critical buckling load correction, a welding residual stress compensation coefficient and a hoisting path curvature optimization function are predicted based on a quantum convolutional neural network, and a construction regulation instruction is injected into construction equipment through a quantum state regulation module. According to the method, multi-source sensing, quantum intelligent calculation and structure safety control are integrated, and the state sensing precision, the regulation and control response speed and the safety guarantee capability in the construction process are remarkably improved.

The application provides a blasting vibration waveform feature extraction and damage range intelligent calibration system. In the application, a waveform irregularity sequence is calculated based on original vibration waveform data; then, a structure surface strain vibration wave is collected by a fiber grating sensor network, and the spatial distribution information of the strain change rate is mapped to a feature enhancement channel; then, a coding and decoding structure is used to learn a feature distribution pattern based on the processed waveform data of the feature enhancement channel, and a reconstruction operation is performed on the current blasting vibration waveform accordingly; by comparing the actual waveform irregularity sequence with the reconstructed sequence, an amplified abnormal feature difference is identified, and a reconstructed error peak value distribution is generated; finally, when the strain gradient mutation point position detected by the fiber sensor network and the reconstructed error peak point space coincide, a blasting damage area heat map is generated based on the coincidence point space density. The application improves the accuracy and reliability of blasting damage range calibration.

The invention discloses a three-dimensional structure deformation induced ferroelectric topological domain structure construction method, which comprises the following steps of providing a self-supporting ferroelectric film which is made of an ultrathin oxide material; applying three-dimensional structure deformation to the self-supporting ferroelectric film; inducing a non-uniform strain field or a strain gradient field in the thin film through the deformation of the three-dimensional structure; and based on the non-uniform strain field or the strain gradient field, reconstructing ferroelectric polarization distribution, and forming a polarity topological domain structure with an adjustable transverse size. According to the invention, the dimension limitation of traditional plane strain regulation and control is broken through, the directional design of a novel topological domain structure is supported, and a controllable and low-power-consumption micro-nano domain engineering platform is provided for novel electronic devices such as integrated photonic devices (such as light field modulators), photoelectric couplers, flexible electronic devices, high-density nonvolatile memories and the like.

This utility model discloses a mechanical strengthening device for the inner wall surface of a pipe, including a strengthening tool assembly and a machine tool body. The strengthening tool assembly includes a cutting head capable of penetrating deep into the pipe; the cutting head is configured to fit against the inner wall of the pipe, thereby generating a strain gradient on the inner wall surface. The machine tool body includes a feed assembly and a rotating assembly for mounting the pipe and driving the pipe to rotate around its axis. The feed assembly drives the strengthening tool assembly to feed along the axial direction of the pipe. In the mechanical strengthening device for the inner wall surface of the pipe provided in this application, the rotating assembly drives the pipe to rotate, and when the strengthening tool assembly feeds into the inner wall of the pipe, the cutting head acts on the inner wall of the pipe, causing a strain gradient to be generated on the inner wall surface. Therefore, the mechanical strengthening device for the inner wall surface of the pipe provided in this application achieves the strengthening of the inner wall of the pipe.

The invention belongs to the technical field of load identification for structural health monitoring, and provides a concentrated load positioning method based on principal stress constraint and strain gradient trajectory identification, which comprises the following steps: arranging a strain sensor in a plane structure plate monitoring area and collecting strain data of a measuring point; and constructing a strain field inversion function based on a radial basis function, establishing an error optimization function containing a fitting error term and a smooth constraint, introducing a principal stress direction constraint and a gradient projection smooth constraint to form a comprehensive error function, and solving to obtain optimal strain field distribution. And further calculating a strain gradient vector of each grid node, tracking a gradient trajectory through a gradient descent method, finally carrying out iterative clustering analysis based on distance statistics on a trajectory end point, and outputting a cluster center as a concentrated load application position identification result. According to the method, the concentrated load positioning precision can be improved, the anti-noise capability is enhanced, and rapid and stable load position identification without a large number of training samples is realized.

The present application relates to the technical field of substations, and specifically discloses a data collection and intelligent analysis management system and method for substation trench cover plates, the method comprising: collecting cover plate vibration data and strain data through acceleration sensors and resistive strain gauges; extracting vibration direction changes, vibration attenuation, and cover plate deformation rebound time from acceleration data, and extracting maximum amplitude, change rate, and strain gradient from strain data to comprehensively characterize the stress and deformation characteristics of the cover plate; based on the stress, deformation, and rebound characteristics of the cover plate, a damage assessment model is established using a neural network model to achieve intelligent discrimination of the degree of damage to the cover plate; using a neural network to predict damage change trends and calculate the acceleration trend of cover plate damage; based on the damage assessment results and the damage acceleration trend, the remaining maintenance time of the cover plate is calculated, and an operation and maintenance warning is automatically triggered when it is lower than the warning threshold. The method of the present application can achieve intelligent monitoring, prediction, and active operation and maintenance management of the health status of the cover plate.

The invention provides a bearing capacity assessment method for a safety handrail manufacturing process based on an industrial internet of things, and the method comprises the steps: reading a groove spacing between adjacent knurling grooves according to a texture depth value, dividing the groove spacing by the texture depth value to obtain a groove spacing depth ratio, and recognizing a knurling section with the groove spacing depth ratio lower than a safety threshold value as a stress superposition risk section; extracting an energy peak value of an acoustic emission signal in the stress superposition risk section and a maximum strain gradient in the pipe wall strain distribution data, and performing weighted fusion to obtain groove root stress superposition strength; extracting position coordinates of each measuring point entering yield for the first time from the strain distribution data, and identifying a transformation degree of a yield initial position from random distribution to linear arrangement along the knurling groove bottom by adopting a support vector machine classification algorithm to obtain a yield position concentration ratio; and according to the yield position concentration ratio and the groove root stress superposition strength, dividing a damage grade corresponding to the texture depth value, and marking the knurled section with the damage grade exceeding a preset warning grade as the initial position of the weak section.

The application discloses a method for inducing ferroelectric half and anti-half based on flexoelectric coupling, which comprises the following steps: 1) preparing a self-supporting ferroelectric film; 2) generating a periodic strain gradient; 3) regulating the local polarization direction in the self-supporting ferroelectric film; and 4) applying a local out-of-plane electric field to realize topological state conversion. The method does not need to rely on a complex superlattice or sandwich structure, can realize ferroelectric topological domain structure regulation through mechanical morphology pre-encoding, and is used for high-density, multi-state and low-power-consumption ferroelectric information storage.

The present invention proposes a concentric circle template assembly and a water gate crack control construction method, which belongs to the field of water gate technology. The concentric circle template assembly includes an outer tube unit and an inner tube unit that are used in conjunction with each other. The outer tube unit includes a first tube body and a sealing plate, and the sealing plate has a positioning hole in the center; the outer wall of the first tube body is wrapped with a first spring hose; the inner tube unit includes a second tube body, and the outer wall of the second tube body is wrapped with a second spring hose. The construction method includes construction preparation, foundation treatment, gate bottom plate construction, gate pier construction, hole cavity construction, installation of the inner tube unit, filling of the first stress absorbing material, lifting the inner tube unit, filling of the second stress absorbing material, and constructing a concentric circle strain gradient structure. The present invention can ensure that the stress absorbing material is clearly layered and that the strain gradient is accurately formed; the shear strength is improved through the bite action of the spiral groove, the interlayer slip is effectively suppressed, and the interface mechanical properties and engineering durability are improved.

The present application provides a kind of fissure rock mass surrounding rock grouting quality evaluation method, it is related to geotechnical engineering technical field, the present application includes the following steps: obtaining the permeability test data and acoustic velocity test data of the mechanical state of target surrounding rock area fissure connectivity before grouting, form the characterization parameter data set of fissure before grouting, three-dimensional point cloud data are calculated simultaneously collected to calculate the cavity volume of fissure;Electromagnetic field intensity data are collected to calculate the grouting filling rate in the process of grouting, resistivity time series data are collected to calculate cementation uniformity index, strain time series data are collected to calculate strain gradient, and grouting integrity index is formed by multi-feature fusion;After grouting, permeability and acoustic velocity data are calculated again to calculate the performance improvement rate of fissure characterization;Penetration test data are collected to calculate the strength parameters of stone body;Grouting integrity index, the performance improvement rate of fissure characterization and the strength parameters of stone body are carried out multiple fusion to calculate quality comprehensive score, and compared with preset threshold to carry out classification evaluation.

The application relates to the technical field of image processing, and discloses a kind of tubular element pressure edge abnormality identification method, the application gradient pressure load is applied to tubular element and surface image sequence and distributed strain signal are acquired synchronously;With distributed strain signal as boundary constraint correction original displacement field, the displacement solving precision of annular edge curved surface position is optimized;Synchronous extraction strain gradient and profile curvature variation, realize the collaborative analysis of mechanical deformation characteristics and geometric feature, identify the mechanical anomaly induced by stress concentration, and capture the profile distortion caused by slight deformation;Construct space-time characteristics and execute three-dimensional Gaussian filtering processing, improve the identifiable degree of weak edge abnormality and early implicit anomaly;Through response change rate and area comprehensive determination, improve the objectivity, stability and anti-interference ability of edge abnormality determination, reduce the misjudgment and missed judgment probability in industrial detection process.

The invention discloses a sound box part quality detection method and system, and relates to the technical field of automatic detection. The method is used for solving the problem that defects such as potential fatigue risk and voice coil offset of a loudspeaker box structural member are difficult to identify and regulate early. The method comprises the following steps: firstly, synchronously acquiring multi-source signals through a vibration sensor, a laser vibration meter and a microphone, and constructing a coupling matrix containing vibration energy, strain gradient and harmonic characteristics; then, based on an S-N curve and thermal-mechanical coupling simulation, calculating a fatigue damage index of temperature compensation, and outputting a material fatigue risk label; multi-scale deformation and transient impact characteristics are extracted in combination with a graph attention and self-attention mechanism, and a voice coil offset direction and an amplitude interval are predicted in combination with sound pressure harmonics and thermal compensation information. Finally, the composite defect grade is judged through a dynamic threshold value strategy and fed back to a process control module, a limiting and current adjusting strategy is executed, a quality detection and parameter optimization closed-loop system is constructed, and the detection precision and the structural reliability are improved.

The application discloses a gradient structure Ag / FeMnCrNi layered composite material and a preparation method, and belongs to the field of metal surface modification. The layered composite material comprises Ag layers and FeMnCrNi layers arranged alternately, the thickness of the Ag layers and the FeMnCrNi layers in one modulation period is the same, and the thickness of the Ag layers and the FeMnCrNi layers in each modulation period is gradiently increased. The Ag layers and the FeMnCrNi layers are alternately deposited by direct current magnetron sputtering using an Ag target and a FeMnCrNi target to obtain the gradient structure Ag / FeMnCrNi composite material. The method utilizes the design idea of the multi-scale gradient non-uniform structure, combines the multi-principal element effect of the HEA with the constraint effect of the gradient layer interfacial heterogeneity, constructs a soft and hard heterostructure gradient, and in the plastic deformation process, the strain gradient is generated due to the different deformations of the soft and hard components, new dislocation structures are activated, the mechanical behavior of the whole metal layered composite material is affected, and finally the breakthrough of the mechanical properties is realized.

The present invention relates to the field of engineering mechanics, and discloses a method, a sensor and an application for measuring a two-way strain gradient field of a structure. The sensor includes a flexible matrix and two sets of optical fiber pairs embedded in the flexible matrix and perpendicular to each other; each set of optical fibers includes a plurality of optical fiber pairs; the optical fiber pairs within the set are parallel to each other, and an optical fiber pair includes a pair of parallel first optical fiber and second optical fiber, and the plane where the optical fiber pair is located is perpendicular to the plane formed by the two sets of optical fiber pairs; when measuring the strain gradient of a component, the flexible matrix is attached to the component, and the plane where the optical fiber pair is located is perpendicular to the neutral layer of the component. The present invention utilizes the distributed optical fiber sensing technology, which can improve the measurement ability of strain data and reduce the measurement cost of strain data.

The invention relates to the field of metal plastic processing, and discloses a high-toughness aluminum alloy foil embossing treatment process which comprises the following steps: pretreating the surface of an aluminum alloy foil to obtain a clean surface; and a gradient insulating layer with the thickness in macroscopic continuous gradient change is formed on the clean surface, wherein the thickness gradient direction of the insulating layer is matched with the expected strain gradient direction on the foil during embossing forming. According to the invention, through the cooperation of the gradient insulating layer and the programmed pulse current, selective electroplastic treatment is carried out on a high-strain area in the embossing process. Through the treatment, the material is locally subjected to dynamic recovery, the plastic deformation capacity is improved, and therefore the area which deforms most severely and is prone to cracking is directly strengthened. As a result, on the premise that the overall strength of the material does not need to be excessively sacrificed, generation of microcracks is effectively restrained, and the limit depth-to-width ratio of aluminum alloy foil embossing and the forming success rate of complex patterns are increased.