234 results about "Rebar corrosion" patented technology

The invention discloses a concrete structure steel bar corrosion rate magnetic evaluation method for eliminating stress interference, and relates to the technical field of civil engineering. Comprising the following steps: scanning spontaneous leakage magnetic field intensity of reinforcing steel bars before and after concrete structure corrosion, and calculating spontaneous leakage magnetic field change information of the corroded reinforcing steel bars; determining the concrete structure reinforcement corrosion type according to the spontaneous leakage magnetic field change information of the corroded reinforcement; calculating a concrete structure steel bar magnetization intensity change rate caused by stress change before and after concrete structure corrosion; calculating a spontaneous magnetic flux leakage quantitative index according to the corrosion type of the concrete structure steel bar; the spontaneous magnetic flux leakage quantitative index is corrected according to the concrete structure steel bar corrosion type and the concrete structure steel bar magnetization intensity change rate; and calculating a concrete structure steel bar corrosion rate evaluation value for eliminating stress interference. According to the method, the existing spontaneous magnetic flux leakage assessment method for the corrosion rate of the bare steel bar is greatly improved, the stress change interference can be quantitatively corrected, and the high-precision estimation of the corrosion rate of the steel bar in the concrete structure is realized.

The invention provides a reinforced concrete structure performance degradation intelligent prediction and durability limit state evaluation method. The method comprises the following steps: establishing a random variable probability model of environment and structure parameters; a convolutional neural network is fused to construct a chloride ion diffusion intelligent prediction model, and Monte Carlo sampling is adopted to analyze probability distribution of the initial corrosion time of the steel bar, so that prediction of the steel bar de-blunt time is realized; establishing a steel bar time-varying corrosion model to obtain the change condition of the steel bar corrosion loss rate along with time; further, an incremental static analysis method is adopted, and a multi-scale finite element model of the reinforced concrete structure under different corrosion rate conditions is established through random sampling; obtaining a critical load value in a limit state, and obtaining a failure probability curve under different corrosion degrees; finally, the bearing capacity failure time of the reinforced concrete structure is obtained by defining a bearing capacity reduction coefficient, and evaluation of the durability limit state of the reinforced concrete structure in the corrosion state is achieved.

The invention provides a reinforcement corrosion electrochemical parameter inversion method based on LSTM (Long Short Term Memory) time sequence prediction, which comprises the following steps: S1, acquiring electrochemical time sequence data in a reinforcement corrosion process through an electrochemical workstation to form an original reinforcement corrosion electrochemical time sequence data set; s2, preprocessing is carried out to obtain a training set, a verification set, a test set and normalization coefficients of all parameters; s3, constructing and training an LSTM time sequence prediction model; s4, constructing and calibrating a steel bar corrosion electrochemical parameter forward modeling model; and S5, constructing an inversion framework fusing a particle swarm optimization algorithm, a simulated annealing algorithm and an Adam optimization algorithm, forming closed-loop cooperation by the particle swarm optimization algorithm, the simulated annealing algorithm and the Adam optimization algorithm so as to minimize an error between a target electrochemical response parameter and a theoretical electrochemical response parameter, and outputting an inversion result. According to the method, through organic combination of time sequence prediction and multi-algorithm cooperation, the problems that a traditional inversion method is low in precision and poor in stability are solved, and a reliable technical means is provided for reinforced concrete structure health monitoring.

The invention provides a method, a device and equipment for predicting corrosion current and corrosion of steel bars in concrete in a low-pressure environment, and belongs to the technical field of engineering simulation modeling. The method comprises the following steps: establishing a coupling transmission model in concrete considering oxygen concentration, sulfate ion diffusion behavior and chloride ion diffusion behavior; building a reinforcement corrosion current density and corrosion depth prediction model for predicting the number of charges at different positions of the reinforcement in the concrete, and calculating the corrosion depth and the corrosion product content based on the corrosion current density; and establishing a linear elastic damage model for simulating concrete damage evolution caused by steel bar corrosion according to the corrosion product content output by the steel bar corrosion current density prediction model so as to realize accurate prediction of corrosion and damage. According to the method, oxygen concentration changes under low air pressure are considered, oxygen diffusion is described, output of a transmission model serves as a dynamic variable to be introduced into the corrosion current calculation process, and the accuracy of corrosion current and steel bar corrosion prediction is improved.

The invention discloses a corrosion degradation analysis method for a cracked reinforced concrete beam in a carbonization environment, which comprises the following steps: dividing the service time of the reinforced concrete beam, and determining the sequence of calculation time points; establishing a reinforced concrete beam load field entity finite element model, calculating crack distribution and width of a beam body at the time point ti under the load effect, and calculating a crack width field variable; establishing a concrete beam carbon dioxide diffusion field analysis model, importing a crack width field variable at a ti time point, and calculating and outputting a carbonization field variable of the concrete beam at the end of ti + dt time; establishing a reinforced concrete beam oxygen diffusion field analysis model, importing a crack width field variable and a carbonization field variable, and calculating and outputting a steel bar corrosion field variable at the end of the ti + dt time; judging whether the calculation time point reaches the total service time t or not; updating a calculation time point ti + 1 = ti + dt, and taking a model calculation result of a previous time point as an initial state; and extracting deformation and crack results of each time point in the service time of the reinforced concrete beam to obtain a deformation and crack degradation rule.

The utility model discloses a honeycomb-shaped bridge joint structure which comprises a beam body, a reserved groove is formed in the inner side of the beam body, an anchoring steel bar is fixed in the reserved groove, an installation hole is formed in the upper surface of the beam body, a protection mechanism is installed above the beam body, clamping seats are fixed to the two sides in the beam body, and the clamping seats are fixed to the lower surface of the beam body. A clamping block is installed in the clamping base, and a rubber water stop belt is fixed to the upper portion of the clamping block. According to the honeycomb-shaped bridge joint structure, through cooperative use of the clamping seats, the clamping blocks and the rubber water stop belts, the rubber water stop belts are used for preventing water flow permeation at the joints, erosion and damage to a beam body structure are avoided, and therefore the integrity of the beam body structure is protected, and the service life is prolonged; the problems of steel bar corrosion, concrete cracking and the like caused by water permeation are reduced, the rubber waterstop is of a wave-shaped structure and can better adapt to deformation and displacement of a joint, and the rubber waterstop is convenient to disassemble and assemble due to the arrangement of the clamping blocks.

The invention provides a cold-resistant and saline-alkali-resistant concrete micro-crack repairing material and a preparation method thereof, and belongs to the technical field of preparation of concrete repairing materials. The concrete micro-crack repairing material comprises a calcium source permeation component, an organosilicon waterproof material component, a complexing component and a reinforcing component, and the specific types of all the components are limited. The concrete micro-crack repairing material has cold resistance, has a certain degree of ion erosion resistance, and can reduce the influences of internal structure damage, durability degradation, steel bar corrosion and the like caused by a low-temperature saline-alkali environment on a concrete matrix; after the concrete micro-cracks are repaired, further expansion of the micro-cracks can be reduced, the mechanical property of a concrete structure in a low-temperature saline-alkali environment is improved, the service life of the concrete structure in the low-temperature saline-alkali environment is prolonged, the maintenance cost is reduced, and a reliable guarantee is provided for infrastructures such as bridges, roads and dams in cold saline-alkali areas.

The invention relates to the technical field of concrete structure steel bar corrosion monitoring and life prediction, and discloses a concrete structure steel bar residual life prediction method based on a steel bar corrosion rate. According to the method, reinforced concrete surface multi-mode electrochemical data are collected in real time through a distributed intelligent sensor array, and a three-dimensional corrosion feature tensor is generated through wavelet packet decomposition and feature extraction. A prediction model is constructed by using cross-domain feature transfer learning and an attention mechanism, and feature weights of different corrosion stages are dynamically allocated. On-line reasoning and dynamic correction are carried out in combination with the edge computing node and the cloud platform, a steel bar section corrosion rate distribution cloud picture and a residual life prediction value are output and pushed to the terminal operation and maintenance platform to realize early warning information dynamic visual display of a multi-level user interface, and the efficiency and level of concrete structure maintenance and management are effectively improved.

The invention discloses a high-salt-corrosion-resistant concrete pouring material and a preparation method thereof, and relates to the technical field of high-salt-corrosion-resistant concrete, and the high-salt-corrosion-resistant concrete pouring material comprises the following components in parts by weight: 5-10 parts of modified charcoal, 1.5-3 parts of a corrosion inhibitor, 320-360 parts of cement, 650-700 parts of river sand, 20-30 parts of silica fume, 0.3-0.6 part of super absorbent resin, and 0.2-0.8 part of a water reducing agent. According to the high-salt-corrosion-resistant concrete pouring material and the preparation method thereof, a protective film is formed on the surface of a reinforcing steel bar through the corrosion inhibitor, the anodic oxidation reaction is inhibited, the reinforcing steel bar is prevented from being corroded, eugenol releases corrosion inhibition molecules, a hydrophobic protective film is formed on the surface of the reinforcing steel bar, and electrochemical corrosion is inhibited; meanwhile, through the synergistic effect of a physical barrier and chemical passivation, the calcium-aluminum salt-eugenol composite corrosion inhibitor not only can block a corrosion path through physical film formation, but also can inhibit electrochemical reaction through chemical adsorption, so that the corrosion inhibition efficiency is improved.

The invention relates to the technical field of reinforcement corrosion detection, in particular to a reinforcement corrosion nondestructive testing method integrating ultrasonic and electrochemical signals, and the method comprises the following steps: calculating an environmental interference coefficient and an environmental influence evaluation value through an environmental noise signal and concrete surface impedance, and constructing an initial evaluation model; collecting and processing ultrasonic and electrochemical signals in real time to obtain characteristic parameters, and calculating an initial corrosion risk coefficient through an initial evaluation model; generating a comprehensive decision coefficient in combination with the environmental influence evaluation value, determining a feature weight distribution strategy, and generating a fusion diagnosis index; adaptively adjusting the detection point grid spacing according to the fusion diagnosis index; the diagnosis reliability is verified through the time-space consistency coefficient of the ultrasonic waves and the electrochemical active region, and a fusion diagnosis deviation value is calculated; and carrying out collaborative optimization on the detection period and the evaluation model based on the cumulative fusion diagnosis deviation value. According to the invention, the problem that a single detection means is insufficient in precision and cannot be adaptively adjusted in a complex environment is solved.

The invention belongs to the technical field of concrete slabs, and particularly discloses a preparation method and application of a fiber-reinforced autoclaved aerated concrete plank.The preparation method comprises the steps that pretreated raw materials are prepared according to a formula; uniformly distributing and mixing the raw materials to obtain slurry I, slurry II and slurry III in sequence; pouring the slurry III into a mold, and standing; demolding and cutting the green body; the cut blank is subjected to steam curing and cooling, and then a concrete slab finished product is prepared; structural steel bars are replaced with fibers, the steel bar consumption is reduced, steel bar corrosion caused by cutting is avoided, and therefore the plate yield and the production efficiency are improved, waste of waste is avoided, and the actual preparation efficiency is improved; and secondly, by adopting the fibers and the active exciting agent, the concrete slurry is more uniformly aerated, and the fibers are uniformly distributed in a multi-stage dispersion manner, so that the bending resistance, the compression resistance, the crack resistance, the nail-holding power, the mildew resistance and the saltpetering resistance of the concrete slab are effectively improved, and the product quality is remarkably improved.

The invention discloses an annular electric pole steel bar corrosion detection method, system and device and a storage medium, and relates to the technical field of corrosion detection.The method comprises the steps that an annular coil is arranged in the circumferential direction of an electric pole, adjustable alternating current is applied, and magnetic field changes are detected to obtain signal data; respectively detecting deep corrosion and surface microcracks by utilizing low-frequency excitation and high-frequency excitation, and carrying out frequency domain fusion to obtain fusion data containing corrosion depth and area characteristics; in combination with eddy current response data, reconstructing three-dimensional corrosion distribution by using an improved back projection algorithm, and outputting related data and a thermodynamic diagram; in combination with the thickness of the concrete protection layer and historical data, the excitation frequency is adjusted, and a machine learning model is applied to obtain an optimization frequency, a corrosion mode and a development trend prediction result; according to the invention, the eddy current in the reinforcing steel bar is excited through the annular coil array, and the non-contact and high-precision detection of the corrosion of the reinforcing steel bar in the cylindrical concrete pole is realized by combining a multi-frequency excitation strategy and a three-dimensional signal reconstruction technology.

A sensor dynamic temperature compensation method based on machine learning belongs to the technical field of steel bar corrosion monitoring in constructional engineering, and comprises the following steps: analyzing a dynamic relationship between an environment temperature and a sensor output signal in real time through a machine learning algorithm, and generating and updating a temperature compensation curve; in the multi-sensor network, distributed machine learning is adopted to realize cooperative compensation; the invention further provides a sensor dynamic temperature compensation device based on machine learning. The sensor dynamic temperature compensation device comprises a built-in sensor module, a data reading module, a data transmission module, a data processing module embedded into a machine learning model and a temperature curve calibration device. According to the method, the problem that a traditional compensation method cannot adapt to complex temperature changes is solved, the measurement precision and stability of the sensor are remarkably improved, the calibration cost is reduced, and collaborative optimization of multiple sensors is supported.

The invention discloses a contour restoration-based ribbed steel bar corrosion characteristic parameter calculation method, system and device and a medium, and the method comprises the following steps: obtaining three-dimensional point cloud data of a surface contour of a corroded ribbed steel bar, and carrying out the coordinate transformation and binary interpolation processing of the three-dimensional point cloud data to generate a curved surface of the corroded ribbed steel bar; based on the time domain features and the frequency domain features of the rusted ribbed steel bar curved surface, an original ribbed steel bar curved surface is obtained through restoration; and comparing the curved surface of the rusted ribbed steel bar with the curved surface of the original ribbed steel bar, and calculating the rusted characteristic parameters of the ribbed steel bar. Time domain information and frequency domain information of the contour of the rusted ribbed steel bar are integrated, and the contour of the unrusted ribbed steel bar is restored; the problem of irregularity of the surface profile of the ribbed steel bar is innovatively solved, and accurate calculation of corrosion characteristic parameters of the ribbed steel bar is achieved.

The invention discloses an accurate positioning method and detection device for corrosion of steel bars in a concrete beam, and the method comprises the following steps: a) arranging a scanning track in parallel along the length direction of the concrete beam, and having a preset lift-off height between the scanning track and the concrete beam; b) moving the magnetic sensor along the scanning track, and collecting a position signal of the magnetic sensor and a magnetic signal of a corresponding position in the moving process; and c) drawing a magnetic curve of a plurality of magnetic signals which are acquired when the magnetic sensor moves along the scanning tracks with different lift-off heights and change along with the position signals, and judging the direction and the corrosion area of the corrosion reinforcing steel bar in the concrete beam according to the shape and the fluctuation characteristic of the magnetic curve. According to the method and the device, the direction and the corrosion area of the corroded steel bar are judged through different magnetic curve shapes and fluctuation characteristics, the direction and the corrosion area of the corroded steel bar in the concrete beam can be accurately positioned, and accurate information is provided for subsequent maintenance.

The present invention belongs to the technical field of concrete, and specifically relates to a CFRP-SMA smart reinforced concrete structure that integrates cathodic protection, stress perception, and self-regulation of bearing capacity. In the CFRP-SMA smart reinforced concrete structure provided by the present invention, the SMA embedded optical fiber and the CFRP composite reinforcement wrapped with the external CFRP are concrete reinforcement bars, and are also auxiliary anodes of ICCP to prevent steel bar corrosion; at the same time, the SMA has the ability to adjust stress after excitation, and the embedded optical fiber can sense the stress state of the composite reinforcement. This structural system greatly improves the durability of concrete structures in coastal environments, solves the problem of real-time intelligent perception and bearing capacity regulation of structural service, and provides a new solution to the performance degradation problem caused by the deterioration of CFRP anodes during the use of traditional ICCP.

The invention discloses a hydro-junction embedded steel bar corrosion detection device, and relates to the technical field of steel bar detection devices, the hydro-junction embedded steel bar corrosion detection device comprises a detection machine main body, and the detection machine main body is connected with two contact electrodes through two signal lines. When the device is used, the contact electrodes are fixed to the fixing rings through fixing bolts, the positions of the sliding rings and the fixing rings on the same side are fixed through a pushing mechanism, the distance between the two connecting blocks and the two contact electrodes can be adjusted through a distance adjusting mechanism, and the angle of the two sliding rings can be adjusted through an angle adjusting assembly; according to the detection device, the sliding rings and the fixed rings on the same side are arranged to meet detection use of steel bars with different intervals and cylindrical steel bars, then position fixation of the sliding rings and the fixed rings on the same side is relieved through the pushing mechanisms, the two fixed rings can move through the pushing mechanisms, the two fixed rings move to drive the two contact electrodes to move, and the two contact electrodes move downwards to make contact with a component; and then the detector main body is operated to measure the corrosion degree of the reinforcing steel bar.

The utility model discloses a test loading device for testing the bonding performance of reinforcing steel bars and concrete, and belongs to the technical field of performance testing of concrete structure test pieces. Comprising an external complex stress applying device, a horizontal counter-force structure, a horizontal fixing structure and an anchoring and drawing structure, the external complex stress applying device, the horizontal fixing structure and the anchoring and drawing structure are all located above the horizontal counter-force structure, and the external complex stress applying device is used for applying complex stress to a reinforced concrete test piece in the circumferential direction; before testing, the steel bar is placed in a corrosion pool to be corroded, the steel bar in the reinforced concrete test piece penetrates through the horizontal counter-force structure, and anchoring and drawing structures are installed at the free end and the drawing end of the steel bar. The device is small in size and weight, simple in testing method, easy to operate, good in flexibility and easy to carry. And the accuracy of a test result is improved. And the test of the bonding performance of the reinforced concrete test piece under the coupling action of external complex stress and steel bar corrosion is realized.

The invention provides a quantitative detection method and system for corrosion of steel bars in concrete, and belongs to the technical field of nondestructive testing and health monitoring of civil engineering structures. According to the method, an alternating weak magnetic field is applied to a reinforced concrete structure through a controllable magnetic field excitation device; a superconducting quantum interference magnetic sensor array is adopted to collect magnetic field response signals, and a space magnetic field gradient data set is obtained; performing wavelet packet decomposition and feature extraction on the data set to obtain a corrosion feature frequency band signal; based on a magnetic diffusion-corrosion coupling physical model, inversely calculating steel bar section corrosion rate distribution; and generating and outputting a three-dimensional corrosion distribution cloud picture and a quantitative evaluation report. The system comprises a controllable magnetic field excitation device, a superconducting quantum interference magnetic sensor array, a data processing and inversion calculation device and a result output device which are sequentially connected and cooperatively work. According to the invention, nondestructive, accurate and quantitative detection of corrosion of steel bars in concrete is realized, and the method has the advantages of strong deep penetration ability, high sensitivity to micro-corrosion, good field applicability and the like.

A steel bar corrosion cathodic protection intelligent regulation and control method based on magnetic induction comprises the following steps that 1, data collection and synchronization are conducted, specifically, magnetic field data around a steel bar are collected in real time through magnetic induction sensor arrays evenly distributed in the circumferential direction, and environment temperature, humidity and chloride ion concentration parameters are synchronously obtained; 2, three-dimensional corrosion parameter analysis is carried out; 3, carrying out dynamic current distribution decision making; 4, performing protection current execution and monitoring; and 5, performing prediction optimization: predicting a corrosion trend in future set time by using an LSTM neural network, and adjusting a protection strategy in advance. The invention further provides a steel bar corrosion cathode protection intelligent regulation and control system based on magnetic induction. According to the method, accurate adaptation of non-uniform corrosion is achieved, energy consumption is optimized, and the local damage risk is avoided.

The invention belongs to the technical field of concrete slabs, and particularly discloses a fiber-reinforced autoclaved aerated concrete slab and application thereof, the concrete slab comprises the following raw materials by weight: 10-15 parts of quicklime, 60-80 parts of sand, 3-5 parts of gypsum, 15-25 parts of cement, 0.25-0.5 part of fiber, 0.04-0.1 part of aluminum powder, 180-250 parts of water, and 0.1-0.25 part of an active activator; the active exciting agent is prepared from the following raw materials in parts by weight: 8 to 10 parts of sodium butyl naphthalene sulfonate, 4 to 5 parts of sulfamethoxazole, 17 to 20 parts of lauryl sodium sulfate, 6 to 8 parts of polycarboxylate superplasticizer and 25 to 30 parts of graphite soil; traditional constructional steel bars are replaced with fibers, the problem of steel bar corrosion caused by cutting can be solved, meanwhile, the procedures of steel bar mesh splicing and rust prevention are omitted, and the production efficiency of the plate is remarkably improved; besides, the fibers and the active exciting agent are combined for use, and uniform dispersion of the fibers in the green body is ensured, so that the mechanical property, the anti-mildew property and the saltpetering resistance of the concrete slab are enhanced, and the later maintenance cost is remarkably reduced.

The invention discloses a spontaneous magnetic flux leakage-based concrete structure steel bar corrosion rate quantitative detection method, which is applied to the technical field of civil engineering. Comprising the following steps: acquiring spontaneous leakage magnetic field intensity data of a concrete structure before and after corrosion, and extracting spontaneous leakage magnetic field change information; determining the corrosion position and range of the concrete structure; extracting a spontaneous leakage magnetic field variable rate index for quantitatively representing the corrosion rate of the steel bar and correcting the spontaneous leakage magnetic field variable rate index; determining a steel bar corrosion rate pre-test information model, and performing quantitative probabilistic estimation on the corrosion rate of the section of the corroded steel bar by using the corrected spontaneous leakage magnetic field variable rate index; and calculating a quantitative estimation value of the steel bar corrosion rate based on an estimation result. The method does not need to pre-embed a sensor, does not depend on long-term monitoring, has no damage to the concrete structure, and has no influence on the service performance of the concrete structure. The detection method is convenient, low in cost, high in precision and stable in effect.

The invention relates to the technical field of steel bar detection equipment, in particular to a nondestructive detection device and method for corrosion of steel bars in concrete, and the nondestructive detection device comprises a microwave detector body, a detector butt joint, a butt joint cylinder, a connector, a locking cylinder, a detection wire, a conductive branch wire, a first-stage locking mechanism, a limiting mechanism and a second-stage locking mechanism, the non-contact, non-damage and high-precision detection of the substance can be realized by detecting the substance by utilizing the electromagnetic wave characteristic of the microwave, compared with the traditional detection method, the microwave detection has the advantages of higher sensitivity, short operation time, convenience, low cost, harmlessness to a human body and the like, and in the specific detection, the penetrability of microwave flaw detection is strong, and the detection accuracy is high. According to the method, the defect of several meters of depth can be detected, a detection scheme for damage of the reinforcing steel bars in the protective layer is provided from the perspective of a new detection technology, the corrosion condition of the reinforcing steel bars of the concrete structure under the protective layer can be nondestructively detected, and the reinforced concrete structure can be better managed and maintained.

The invention belongs to the technical field of structural engineering, and relates to a design method of an FRP (Fiber Reinforced Plastic)-stainless steel mixed reinforcement seawater and sea sand concrete beam, which comprises the following steps of: inputting a design bending moment, and primarily selecting a section size and a material attribute; judging whether the area # imgabs0 # of the stainless steel bars in the pressed area is known or not, if the area # imgabs0 # is known, calculating # imgabs1 #, and if the area # imgabs1 # is unknown, calculating # imgabs2 # and # imgabs3 #; 4 # imgabs4 # and 5 # imgabs5 # are selected, and 6 # imgabs6 # and 7 # imgabs7 # are ensured; verifying whether the failure mode meets suitable rib failure or not, whether the flexural capacity meets # imgabs8 # or not and whether the ductility meets standard requirements or not, and ensuring that the area ratio is within a reasonable range; and finally, a more reasonable reinforcement area is obtained, and a result is output. According to the invention, the FRP rib is not used as a pressed rib, so that the stainless steel rib is configured in a pressed area, and a design method suitable for the form is provided, so that not only can the problem of corrosion of the steel bar in a marine service environment be effectively solved, but also relatively high flexural capacity and ductility can be ensured.

In some embodiments, a coating applied to steel reinforcement bar (e.g., steel rebar) that could considerably extend the lifetime of concrete structures by reducing steel rebar corrosion is disclosed. The coating includes a thin, passivating steel (e.g., stainless steel) layer that is applied to the outside of conventional steel rebar. The coating can be applied in-line through metal cold spray manufacturing, which is a high throughput coating technique that can be integrated into existing steel manufacturing plants. Furthermore, a novel, high performance ferritic steel with tailored resistance to corrosion from chlorides is described. The new ferritic steel is distinct from other commercial and experimental steels, and is better suited for coating low-cost steel structures like rebar. Multiple alloying elements including Cr, Al, and Si will each form protective oxides independently, increasing the total amount of protection and extending it over much wider ranges of pH and electrical potential.

A comprehensive processing platform based on distance measurement adjustable steel bar corrosion magnetic induction sensor data classifies the distance measurement adjustable steel bar corrosion magnetic induction sensors, compares the classified distance measurement adjustable steel bar corrosion magnetic induction sensors with stored data, analyzes the data on the basis, performs risk assessment on the structure, and finally gives out processing suggestions and feasible schemes. The engineering deployment cost is reduced; the automatic data analysis and decision support system reduces manual intervention and improves the detection efficiency; a real-time risk assessment and early warning mechanism effectively prevents structure collapse accidents, and the service life of the building is prolonged.

The invention discloses salt-corrosion-resistant epoxy resin modified concrete and a preparation method thereof.According to the epoxy resin modified concrete, the surface of an inorganic material is treated through a silane coupling agent, the interface bonding force among cement, sand, stone and an epoxy resin matrix is improved, and the adhesion and structural stability of the material are ensured; meanwhile, by introducing an epoxy resin toughening technology, the flexibility and crack resistance of a resin matrix are enhanced, so that the resin matrix can cope with temperature difference change and mechanical impact in a marine environment; besides, through the synergistic effect of graphene oxide and nano silicon dioxide, the compactness and barrier performance of the concrete are further improved, permeation paths of water and chloride ions are reduced, corrosion of steel bars and deterioration of the concrete are effectively prevented, the material is endowed with excellent corrosion resistance, the wear resistance and mechanical strength of the material are remarkably improved, and the service life of the material is prolonged. Therefore, the service life of the concrete in a severe environment is prolonged.

The invention provides a rapid corrosion test device for reinforced concrete, a box body of the rapid corrosion test device is provided with a test cavity and a penetrating hole communicated with the test cavity, a supporting structure of a separation assembly is arranged in the test cavity, and a separation structure is arranged on the supporting structure in a lifting manner; wherein the number of the separation structures is multiple, when each separation structure is located at the separation position, the multiple separation structures divide the test cavity into multiple sub test cavities, and when at least one separation structure is located at the communication position, every two sub test cavities adjacent to the separation structure communicate with each other through a communication hole; the spraying assembly is used for spraying a test medium into the sub-test cavity; the corrosion test assembly is arranged in the sub-test cavity, an electrolytic bath of the corrosion test assembly contains electrolyte, the supporting piece is used for supporting a to-be-tested piece, and one end of the to-be-tested piece extends into the electrolyte so as to carry out a corrosion test under a power-on condition. The problems that in the prior art, test results of a steel bar corrosion test device are not comprehensive enough, and the test efficiency is low are effectively solved.

The invention relates to the technical field of civil engineering evaluation, in particular to a concrete structure performance evaluation method and system in a marine environment, and the method comprises the steps: inputting engineering information and environmental parameters; determining analysis components and section parameters; establishing a probability model of the key parameters; setting an analysis age limit and a time step length; carrying out chloride ion diffusion and steel bar corrosion analysis; carrying out material performance time-varying degradation analysis; calculating the time-varying resistance of the component; establishing a structure resistance time-varying probability model; and evaluating long-term performance of the structure. By integrating chloride ion erosion, steel bar corrosion, material degradation, member resistance time variation and reliability analysis, a full-chain evaluation system from environment input to safety grade division is formed, and the evolution law of the bearing capacity of the structure in the whole life cycle can be dynamically reflected; and a quantitative basis is provided for durability design, service state evaluation and maintenance decision of reinforced concrete structures such as long-piled wharfs in a marine environment.

The application discloses a magnetic flux leakage field scanning steel bar corrosion image recognition system and method, and belongs to the technical field of nondestructive testing and computer vision technology. The system rapidly acquires a two-dimensional distribution image of a magnetic flux leakage field through a magnetic sensor array, adopts a semantic segmentation network based on an encoder-decoder architecture to perform pixel-by-pixel classification on the image, and divides healthy, mild, moderate and severe corrosion areas. Spatial attention and channel attention mechanisms are introduced to identify severe corrosion features such as magnetic flux leakage field gradient mutation and polarity reversal, and to enhance detection accuracy. A domain self-adaptive strategy of adversarial training is adopted to reduce feature distribution differences under different detection scenarios and to improve generalization ability. A three-dimensional reconstruction is performed on the corrosion spatial distribution model by combining reinforcement information through coordinate registration and spatial interpolation. A repair priority list and a bill of quantities are automatically generated. The application has high detection efficiency, accurate recognition accuracy, strong adaptability and visual intuition, and provides an intelligent technical means for concrete structure health monitoring.