22 results about "Micro damage" patented technology

The invention relates to the technical field of water-stable layer materials, in particular to a microcapsule self-repairing ardealite water-stable layer material and a preparation method and application thereof.The preparation method comprises the following steps that S1, ardealite, slag powder and a modified coagulant are mixed in a mixer, and a preliminary modified mixture is obtained; s2, adding double microcapsules into the primary modified mixture to obtain a secondary modified mixture; s3, adding deionized water into the modified mixture obtained in the step S2, and stirring and mixing to obtain a modified wet mixture; and S4, injecting the modified wet mixture into a mold, vibrating to remove bubbles, standing at room temperature, and demolding and curing for 25-28 days to obtain the microcapsule self-repairing phosphogypsum water-stable layer material. Through the synergistic effect of the double microcapsules and the modified coagulant, the integrated function of rapid coagulation, self-repairing and toughness enhancement is achieved, it is guaranteed that a strength framework is rapidly formed in a high-humidity environment, meanwhile, immediate repairing can be provided for micro-damage, and the toughness and crack resistance of the material are macroscopically improved.

The invention provides a laser ultrasonic equipment fixing device for identifying micro-damage on the surface of a high-temperature service pipeline, which comprises an upper bracket and a lower bracket, and openings of the upper bracket and the lower bracket abut against each other and can be mounted on a to-be-detected pipeline. A support locking piece is arranged at the abutting position of the upper support and the lower support to fix the upper support and the lower support together. The upper support and the lower support are each provided with a plurality of pipeline fasteners, and the distance between each pipeline fastener and the outer surface of a to-be-detected pipeline can be independently adjusted. When the device is used, the upper bracket and the lower bracket are fixed on the outer surface of a to-be-detected pipeline by using the bracket locking piece, and the pulse laser and the laser interferometer which are used for detecting the damage of the outer surface of the pipeline are integrated on the upper bracket, so that the whole device is compact in structure and only occupies the peripheral space of the pipeline; and the pulse laser and the laser interferometer are not in direct contact with the high-temperature to-be-measured pipeline, so that the effects that the occupied space is small, the device can adapt to a complex pipeline environment and the service life of equipment is prolonged are achieved.

The invention discloses a self-repairing wear-resistant polyurethane expansion joint composition and a preparation method thereof. The preparation method comprises the following steps: 1) preparing furyl modified filler; (2) preparing a polyurethane prepolymer; 3) extrusion molding and weaving reinforcement; and 4) DA construction crosslinking. The preparation method comprises the following steps: modifying silicon dioxide and silicon carbide with furan groups; a modified filler is creatively used as a part of a polyurethane main chain to form a block copolymer, a self-repairable DA structure is formed through bismaleimide, modified nanoparticles are in tough combination with a matrix, the damage tolerance and wear resistance efficiency are remarkably improved, meanwhile, a dynamic network can efficiently repair micro-damage, a solvent is removed, and long-term durability is enhanced; the service life of the expansion joint is greatly prolonged.

The application discloses a component fatigue micro-damage early identification method based on a nonlinear static component, and particularly relates to the technical field of material nondestructive testing and structural health monitoring, which comprises the following steps: arranging an excitation probe and a receiving probe on the surface of a component to be measured; selecting an excitation frequency based on a frequency dispersion curve and generating a Hanning window modulated wave; collecting a propagation response signal; extracting a static component amplitude A and a fundamental wave amplitude A through time-frequency processing; calculating a nonlinear static parameter beta=A / A²; further calculating a first derivative S(N) and a second derivative ΔS(N) of beta with respect to a fatigue loading cycle N; and identifying a dislocation dominant stage, a dislocation saturation or rearrangement stage, a micro-crack initiation stage and a macro-crack formation stage according to the first derivative S(N) and the second derivative ΔS(N). The application can be used for early stage identification of the evolution process of component fatigue micro-damage.

The application provides a measurement method for macroscopic and microscopic damage characteristics of early-age concrete under high-temperature tunnel blasting load, relates to the technical field of concrete macroscopic and microscopic damage measurement, and solves the technical problem of early-age concrete damage detection in a high-temperature tunnel blasting environment through multi-scale data feature fusion. Firstly, a cross-scale data synchronization mechanism of a high-temperature resistant sensor network and a microfocus CT is constructed to capture the cooperative damage characteristics of temperature gradient and blasting impact. Secondly, a temperature correction factor and a dynamic damage threshold model are introduced to quantize the coupling effect of high temperature and hydration reaction and improve the criterion adaptability under complex working conditions. Finally, based on the multi-modal feature fusion technology of deep learning, the correlation analysis of macroscopic and microscopic data and the adaptive classification of damage grades are realized, and the detection precision and anti-interference ability are improved. The applicability in a high-temperature scene is improved, and reliable technical support is provided for the whole life cycle health monitoring of concrete structures.

The invention belongs to the technical field of aquaculture intelligent detection, and discloses a golden pomfret malformation and injury automatic detection method based on deep learning. According to the method, a complete data set containing normal fishes, deformed fishes and injured fishes is constructed, a fin removal labeling strategy is adopted, and an optimized YOLO11 model is combined, so that synchronous detection of the malformation and the injury of the trachinotus ovatus is realized; and (2) aiming at the optimization of the small target defect and sample imbalance problem, the tiny damage detection capability is improved: a Focal Loss loss function and a 160 * 160 high-resolution segmentation head are introduced on a basic YOLO11 structure, and key optimization of small target damage and minority class defect samples is realized. The Focal Loss dynamically adjusts the weight of the sample, so that the model pays more attention to difficult-to-detect tiny damage samples and few damage samples in training; the newly-added high-resolution segmentation head can retain more shallow detail features, and the detection capability of tiny damage on the surface of the fish body is remarkably enhanced.

The invention provides a gradient functional composite material, a preparation method and application of the gradient functional composite material to a die-casting die. The composite material sequentially comprises a bonding layer, a metastable-state high-entropy alloy relaxation layer, a component gradient transition area and a dynamic densification composite surface layer from a base body to the surface. Wherein the relaxation layer can generate reversible martensite phase transformation at the die-casting temperature so as to actively dissipate thermal stress; the composite surface layer contains a low-melting-point nanophase, and can flow at high temperature to realize self-repairing and dynamic lubrication of surface micro-damage. According to the composite material, gradient transition and metallurgical bonding between layers are achieved through continuous process modulation. The coating system provided by the invention has multiple synergistic protection mechanisms of active stress digestion, interface gradient relaxation and surface self-adaptive repair, and can remarkably improve the thermal fatigue resistance, melting loss resistance and demolding performance of the die-casting die, so that the service life of the die is greatly prolonged.

This invention discloses a nonlinear Lamb wave detection method for micro-damage in plate structures based on a flexible sensor array, belonging to the field of nondestructive testing technology. The method includes: generating a sinusoidal modulated excitation signal using a Hanning window; extracting nonlinear characteristic parameters reflecting micro-damage in the plate structure from the preprocessed signal using time-frequency analysis and empirical mode decomposition algorithms; generating a fused damage probability map based on compressed sensing theory and the extracted nonlinear characteristic parameters; constructing a damage distribution profile in the thickness direction by analyzing the penetration depth differences of Lamb waves at different frequencies; and automatically quantifying and analyzing the identified damage areas to obtain the damage detection results. This invention aims to achieve early identification and precise localization of micro-damage in plate structures, effectively overcoming the shortcomings of low sensitivity and inaccurate localization in traditional detection methods, and significantly improving detection accuracy, efficiency, and automation.

The invention relates to the technical field of metal surface strengthening and corrosion protection, in particular to a composite strengthening layer for a marine environment steel structure and a preparation and repair method. The composite strengthening layer comprises a bottom layer cladded on the steel structure base body, and the bottom layer is a high-entropy alloy shell-imitating coating with a multi-stage laminated shell structure; the surface layer covers the surface of the bottom layer, and the surface layer is a microorganism mineralization layer. Compared with the prior art, the composite reinforced layer has the following advantages that the bottom layer is the wear-resistant layer and provides mechanical strength; the surface layer is a corrosion-resistant layer and provides chemical stability, and the surface layer and the corrosion-resistant layer cooperate to achieve the protection effect of 1 + 1gt; the bottom layer and the base body are combined in a laser cladding mode, and falling is not prone to occurring; the surface layer can absorb calcium and magnesium ions in seawater for continuous growth and repair micro-damage, VOCs emission of traditional paint is avoided, the repair process is simple and convenient, and the maintenance cost of the whole life cycle is greatly reduced.

This invention discloses a method for identifying the edge of micro-motion damage in ancient building structures based on lightweight deep learning, belonging to the field of cultural heritage protection. The method includes: micro-motion perception fusion, employing a high-sensitivity accelerometer and micro-displacement laser measurement to achieve dual-mode perception of "dynamic mode + static deformation"; signal preprocessing; lightweight time-frequency analysis network identification, generating time-frequency spectra from acceleration samples through continuous wavelet transform, inputting them into the lightweight time-frequency analysis network LTFANet, and outputting modal parameters and variation characteristics; crack propagation trend analysis; structural damage index calculation, fusing multi-source information to calculate a physically interpretable structural damage index (SDI); graded early warning, pushing early warning information based on a four-level threshold system; and early warning verification. This invention achieves high-precision perception and real-time edge identification of micro-damage in ancient buildings, with high early warning accuracy, and is applicable to immovable cultural relics such as ancient pagodas and wooden structures.

The present application relates to an online repair method of a high environmental adaptability composite material cabin door, and relates to the technical field of aerospace equipment manufacturing. The existing composite material cabin door manufacturing process cannot realize multi-performance regional customization, the repair means lags behind and cannot cope with the technical problems of internal micro-damage in extreme environment. The present application realizes the integration of structure bearing, health monitoring, self-repair and adaptive sealing through multifunctional skin preparation, honeycomb core co-curing, intelligent monitoring system integration, self-adaptive sealing component installation and quick replacement connection structure assembly. In the preparation stage, the vacuum bag pressure and hot press co-curing combined process is adopted to simplify the process and reduce energy consumption; in the repair stage, the distributed optical fiber sensor is used to monitor the structure state in real time, when the abnormality is detected, the shape memory alloy wire is heated to make the embedded microcapsule break and release the repair agent, and the micro-damage self-repair is completed. The present application is applied to the repair of the composite material cabin door.

The invention relates to the technical field of mechanical engineering and structural safety, and provides a design manufacturing and service full life cycle management method oriented to equipment intrinsic safety, and the method comprises the steps: reducing the damage accumulation from the source through introducing a damage mode in a design stage; in the manufacturing stage, the interlayer temperature in the welding process is controlled by regulating and controlling welding heat input parameters and the forming technology, then the expected grain size is obtained, and welding manufacturing with the strength-toughness collaborative improvement of a welded joint and the service life reliability as the benchmark is achieved; in the service stage, reliable detection of micro-damage and micro-defects is achieved through nonlinear ultrasonic micro-damage detection; according to the method, the defects of regular design, empirical manufacturing and passive operation and maintenance in the whole life cycle of traditional equipment are overcome, an intrinsically safe guarantee mechanism is formed, the equipment is promoted to achieve conversion from passive maintenance to active prevention, the reliability of the whole life cycle of the equipment is improved, and therefore long-period continuous production of the equipment is guaranteed.

This invention relates to the field of enameled wire production technology and discloses an enameled wire coating mold with self-cleaning and micro-damage repair functions, solving the problem of poor coating effect of bare copper wire. The mold includes a mold body, with a repair and cleaning mechanism at its end. The repair and cleaning mechanism has a rotating mechanism. The repair and cleaning mechanism includes a mounting ring located on the outside of the mold body. Multiple L-shaped pillars are fixedly connected at equal angles between the mounting ring and the end of the mold body. A slider is movably sleeved on the outside of each L-shaped pillar. Arc-shaped plates are fixedly connected to the front and rear positions of the mounting ring away from the mold body, and arc-shaped plates are fixedly connected to the upper and lower positions of the mounting ring near the mold body. This invention uses two brushes (one and two) to scrape away impurities from the surface of the bare copper wire, thereby improving the coating effect of the bare copper wire.

This invention relates to the field of medical imaging analysis and discloses a method and system for constructing trabecular bone features. The method includes: firstly extracting vulnerable regions from acquired vertebral body image sequences to generate an initial feature set characterizing fine-grained structural stability; performing a coherent comparison of the initial feature set across slice dimensions to obtain a composite feature vector reflecting the structural vulnerability level; based on the composite feature vector, using multi-layer progressive clustering to extract the connectivity change curves of trabecular bone under loading conditions, marking candidate trabecular bone units with potential micro-damage trends; classifying the candidate trabecular bone units according to risk gradients to reconstruct a local trabecular bone topology network with weighted hierarchies; and identifying high-risk nodes exhibiting imbalance tendencies within a specific mechanical simulation cycle based on the local topology network, generating a final feature construction path for microfracture risk prediction. This invention has the advantage of improving the sensitivity of microfracture risk prediction.

The application discloses a geopolymer improved soil subgrade maintenance time determination method based on damage self-repairing rate, which comprises the following steps: establishing a prediction model of unconfined compressive strength and elastic modulus of improved soil under different maintenance times; establishing a finite element mechanics simulation model of improved soil subgrade considering overlying base construction, and determining micro-damage stress level of the improved soil subgrade caused by construction machinery under different maintenance times; designing a pre-micro-damage dynamic triaxial test, and establishing a prediction model of unconfined compressive strength and elastic modulus of improved soil after pre-micro-damage under different maintenance times; introducing damage self-repairing rate, determining the maintenance time of improved soil before pre-micro-damage which meets the self-repairing requirements of unconfined compressive strength and elastic modulus, and taking the larger value of the two maintenance times as the final maintenance time of the improved soil. The application obtains the maintenance time before pre-micro-damage which meets the micro-damage self-repairing rate requirements, meets the construction bearing requirements, improves the construction efficiency, and is simple to operate and scientific and reasonable.

The application discloses a kind of micro-damage self-repairing polyester fiber sound absorption board and preparation method thereof, it is related to high molecular sound-absorbing material technical field.The sound absorption board includes polybutylene terephthalate, modified polybutylene succinate self-repairing microparticle, hollow three-dimensional curly polyester fiber, porous inorganic sound-absorbing filler, foaming agent, compatible agent, antioxidant and lubricant by mass fraction;The self-repairing microparticle has the core-shell-interface modification structure of low-melting-point polyester repair core layer, dopamine-silica hybrid intermediate layer and silane reactive outer layer.The sound absorption board has good sound-absorbing performance, interface bonding stability and micro-damage repair capacity.

The invention relates to the technical field of leather materials, and particularly discloses wear-resistant leather with an enhanced protein bionic structure and a preparation method of the wear-resistant leather. The wear-resistant leather sequentially comprises a multi-stage bionic wear-resistant surface layer, a protein bionic core layer and base cloth from top to bottom, pangolin scale macroscopic ribs and sharkskin microcosmic grooves are re-carved on the multi-stage bionic wear-resistant surface layer, and a nano hard-phase filler is compounded; the protein bionic core layer adopts a spider silk multistage fiber structure and a shell hard phase embedding mechanism, and a dynamic cross-linked network is introduced; and the transition layer and the dynamic cross-linking bonding layer realize interlayer stable combination and micro-damage self-repairing. The preparation method comprises the steps of raw material pretreatment, raw material preparation of each layer, step-by-step forming, composite curing and the like. Through multistage collaborative bionic and dynamic crosslinking design, the problems that traditional protein-based leather is poor in wear resistance and insufficient in long-term effect are solved, meanwhile, the skin-friendly and environment-friendly advantages are reserved, the wear resistance, the tearing strength and the interlayer binding force are remarkably improved, and the protein-based leather is suitable for high-end shoes, automobile interiors and other scenes.

The invention relates to a CFD analysis method for influence of guide wheel blade surface damage on transmission torque and a regulation and control device. The analysis method comprises the following steps: defining micro-damage characteristics; cFD pretreatment: selecting a single guide runner as a fluid computational domain based on defined micro-damage characteristics, and establishing a guide runner geometric model of the micro-damage characteristics; cFD solving calculation and post-processing are carried out, the established guide wheel runner model is solved based on a finite volume method, and circulation flow data under different micro-damage characteristics are obtained; and fitting is carried out to obtain a function relation between different micro-damage characteristics and circulating flow data, and a function relation between different micro-damage characteristic parameters and transmission torque is established based on a torque calculation formula, so that reliable data support is provided for damage influence evaluation. Analysis is applied to a regulation and control device, the regulation and control device comprises a mounting base, a heat conduction base, a piezoelectric ceramic driver, a strain gauge type displacement sensor, a flexible metal diaphragm and a control unit, and active regulation and control of torque are achieved based on a PID control system of the control unit.

The invention discloses a bone preventive enhanced minimally invasive treatment method based on controllable micro-injury and a series of instruments, and relates to the technical field of orthopedic minimally invasive treatment. Through preoperative image positioning, percutaneous low-speed shallow hole drilling is implemented in a safe area, controllable micro-injury is utilized to stimulate bone tissue self-repairing and reconstruction, and bone density enhancement and skeleton structure strengthening are achieved; the drilling device is matched with a series of limiting drilling instruments, has multiple diameters and multiple depth specifications, can be accurately selected according to different parts and different bone thicknesses, and ensures that the drilling device does not penetrate through bone cortex and does not damage bone marrow. The method is extremely small in trauma, easy and convenient to operate, safe, efficient and suitable for early intervention and radical strengthening of osteoporosis, early femoral head necrosis and knee osteoarthritis, and has extremely high clinical popularization value.

The invention relates to the field of environmental radiation monitoring technology and functional material preparation, and particularly discloses an industrial control method for environmental radionuclide-strontium-90 analysis material synthesis, which comprises the following steps of: acquiring real-time rheological data of a stirring motor in a non-intrusive manner, and resolving turbulence shear energy density representing interaction force of a solid-liquid interface, so as to obtain an environmental radionuclide-90 analysis material; and a grafting saturation index reflecting a reaction kinetic state is evolved according to the result. Based on the real-time feedback of the index, establishing a smooth transition control strategy from aggressive to conservative: applying a high rotating speed during the rapid growth period of the reaction so as to overcome the resistance of the diffusion boundary layer and strengthen the contact between the activating agent and the microporous matrix; and when the reaction tends to be saturated, the rotating speed is automatically reduced to a micro-damage threshold value, so that a formed fragile ligand layer is prevented from being damaged by high shear force. The full-cycle dynamic optimization regulation realizes accurate determination of the reaction endpoint, and ensures the physical stability and batch consistency of the material while maximizing the grafting efficiency.

The application discloses a bridge dynamic deflection and dynamic strain data fusion method, and belongs to the technical field of bridge structure health monitoring. The method deploys deflection measuring points and strain measuring points on a rectangular grid arranged according to the longitudinal and transverse directions at the bottom of a bridge; then, the span direction of the bridge is taken as the longitudinal direction, the bridge cross section perpendicular to the span direction of the bridge is taken as the position reference of the data fusion point, and the data fusion point is determined based on the bridge cross section to realize the fusion and mutual conversion of the strain data and the deflection data. Through data fusion, the application effectively associates the dynamic deflection mutation and the dynamic strain hysteresis effect, significantly reduces the structure damage feature missing detection rate, and simultaneously supports the early warning of micro-damage.

The application discloses a kind of composite material casing containment macro-microscopic damage analysis methods under service environment.The application calculates the containment capacity of composite material casing, damage morphology and damage mechanism by establishing the finite element model of composite material casing impact resistance.Compared with prior art, the application solves the problem that the blade loss resistance of the matrix and interface performance inside the composite material casing under the coupling action of various environmental factors during the service process of the engine is difficult to predict, and the damage mechanism inside the casing is complex, realizes the prediction of the containment of the composite material casing under service environment and the analysis of damage mechanism.