66 results about "Reinforcement corrosion" patented technology

The invention relates to the field of durability evaluation and life prediction of reinforced concrete structures, in particular to a reinforced concrete life prediction system and method based on material degradation simulation, and the system comprises an erosion leading edge tracking module which employs a three-dimensional convolutional neural network fused with topology invariance to extract chloride ion distribution image features, generating steel bar corrosion front three-dimensional coordinates and depth information; the transfer learning parameter inversion module is used for inputting the steel bar corrosion front three-dimensional coordinates into a finite element simulation platform, executing parameter inversion calculation and generating a corrosion rate evolution curve; the corrosion rate prediction module is used for generating a corrosion rate prediction curve by using a long-short-term memory network; and the online correction module is used for collecting temperature and humidity information in the concrete structure, calculating the influence weight of environmental factors on the corrosion rate, correcting a corrosion rate prediction curve, updating long-term and short-term memory network parameters, identifying and tracking the steel bar corrosion leading edge in a high-precision manner, and accurately capturing a complex three-dimensional corrosion form.

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 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 relates to the technical field of building construction, in particular to a prefabricated building construction progress automatic monitoring method. The method comprises the following steps: obtaining a building construction design drawing; based on the building construction design, prefabricated building component design data is extracted; building a building construction three-dimensional model based on the prefabricated building component design data; building component transportation simulation is conducted according to the building construction three-dimensional model, and building component transportation data are obtained; identifying a component cracking degree based on the building component transportation data; performing connection failure analysis based on the component cracking degree to obtain component connection failure data; predicting a reinforcement corrosion risk based on the component connection failure data; evaluating assembly durability based on the reinforcement corrosion risk; and extracting hoisting design data of the building construction design drawing. Based on the building construction technology, the efficiency and accuracy of prefabricated building construction progress monitoring are improved, and the accuracy of construction plan execution and the resource scheduling efficiency are improved.

The invention discloses a reinforcement corrosion degree detection method based on a quantum image processing algorithm, and the method comprises the steps: collecting a reinforcement corrosion image, and carrying out the graying and median filtering noise reduction processing of the image; constructing a quantum image model, and performing morphological processing on the image; carrying out Otsu threshold segmentation on the image based on a PES algorithm; integrating a gray histogram and three-level wavelet decomposition energy for the image, constructing a multi-dimensional feature set, carrying out standardized preprocessing and focusing three-level decomposition, abandoning redundant status data, and carrying out feature extraction on the quantum image based on a positive index relationship between image information entropy and thickness loss; and repeating the above steps to obtain a reinforcement corrosion degree prediction data set, and training the convolutional neural network through the reinforcement corrosion degree prediction data set to obtain the convolutional neural network for diagnosing the reinforcement corrosion type. The image processing effect is improved, the feature extraction efficiency and precision are improved, and the classification 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 application discloses a kind of marine reinforced concrete crack fast self-repairing agent and preparation method thereof, the self-repairing agent includes the following components by mass fraction: polyacrylic acid hydrogel 20-30%, microorganism 5-10%, betaine 20-30%, calcium salt 15-25%, aluminum salt 20-30%.Its preparation method is: acrylic acid monomer is mixed with crosslinking agent, initiator, auxiliary crosslinking agent;Aluminum salt, acrylic acid are mixed to obtain aluminum acrylate;The two are mixed with microorganism and betaine, stirring and heating, and microorganism-polyacrylic acid hydrogel is prepared;After drying, it is broken, and calcium salt powder is wrapped, then immersed in polymer emulsion, dried, and prepared.The application can quickly block cracks by forming organic-inorganic composite repair products, solidify harmful media, release beneficial ions, achieve the dual goal of crack self-repairing and reinforcement corrosion inhibition.

The invention discloses an annular concrete electric pole nondestructive testing method, system and device and a storage medium, and relates to the technical field of annular concrete electric pole detection.The method comprises the steps that structural performance detection parameters of an annular concrete electric pole are measured; based on the structural performance detection parameters, combining historical data to set maintenance conditions; based on the structural performance detection parameters, establishing an electric pole health condition identification model, and performing nondestructive detection on the to-be-detected annular concrete electric pole in combination with maintenance conditions; accurate judgment on the strength of the annular concrete pole and the corrosion state of the steel bars is achieved, potential safety hazards are found in time, stable operation of a power system is guaranteed, meanwhile, industry detection standardization is promoted, and the method can be popularized and applied to the fields of power grids, power generation enterprises, new energy and the like and client-side power distribution network concrete poles.

A concrete structure reinforcement corrosion detection method based on a random forest algorithm and microwave scattering parameters comprises the following steps: building a microwave detection platform, and carrying out fixed frequency sweep detection on a reinforced concrete structure to obtain S parameter data with reinforcement corrosion condition information; dividing the S parameter data into a training set and a test set; extracting frequency and S parameter data of the reinforcing steel bars under different corrosion degrees, and training the random forest algorithm model by taking the frequency and S parameter data as input features and the reinforcing steel bar corrosion depth as output features; and performing microwave detection on the reinforced concrete structure, and inputting the obtained frequency and S parameter data into the trained random forest algorithm model to obtain the corrosion depth of the reinforcing steel bar. According to the concrete structure reinforcement corrosion detection method based on the random forest algorithm and the microwave scattering parameters, prediction of the reinforcement corrosion depth is achieved, and the method has the advantage of being high in accuracy.

This invention provides an ultra-high ductility cement-based composite material for marine engineering and its preparation method. The ultra-high ductility cement-based composite material comprises, by weight, the following raw materials: 250-500 parts cement clinker, 400-600 parts fly ash, 200-300 parts mineral powder, 100-150 parts silica fume, 160-240 parts metakaolin, 600-900 parts quartz sand, 10-20 parts organic synthetic fiber, 20-30 parts organic rust inhibitor, 180-240 parts water, and 1-8 parts water-reducing agent. The organic rust inhibitor provided by this invention can inhibit steel corrosion and chloride ion intrusion into concrete through the dual effects of binding chloride ions and forming a passivation film, thereby improving concrete durability. By controlling the mix proportions of the four mineral admixtures and the dosage of the synthetic fiber component, the concrete can better balance high strength, high ductility, high durability, high flowability, and excellent resistance to deformation.

The present invention relates to the field of durability assessment and life prediction of reinforced concrete structures, and particularly to a life prediction system and method for reinforced concrete based on material degradation simulation, including an erosion front tracking module that extracts chloride ion distribution image features using a three-dimensional convolutional neural network integrating topological invariance to generate three-dimensional coordinates and depth information of the steel bar corrosion front; a transfer learning parameter inversion module that inputs the three-dimensional coordinates of the steel bar corrosion front into a finite element simulation platform to perform parameter inversion calculations and generate a corrosion rate evolution curve; a corrosion rate prediction module that uses a long short-term memory network to generate a corrosion rate prediction curve; and an online correction module that collects internal temperature and humidity information of the concrete structure, calculates the influence weight of environmental factors on the corrosion rate, corrects the corrosion rate prediction curve, and updates the parameters of the long short-term memory network to accurately identify and track the steel bar corrosion front and accurately capture complex three-dimensional corrosion patterns.

The present invention discloses a pavement crack analysis method, comprising: preparing a near-surface deformation structure sample of pavement steel bars, performing near-surface feature extraction on the sample to obtain surface deformation feature samples, constructing a near-surface deformation feature matrix comprising N*K samples, performing corrosion feature extraction on the near-surface deformation structure sample, constructing a corrosion deformation feature matrix comprising N*K samples based on the corrosion deformation feature samples, extracting a life label matrix, constructing a training set comprising N*K supervised learning sample pairs, performing model training based on the training set comprising N*K supervised learning sample pairs, obtaining a corrosion life prediction model, predicting the corrosion life of the pavement steel bars, and performing pavement crack analysis. The present invention achieves a comprehensive analysis of pavement cracks caused by steel bar corrosion by comprehensively analyzing the local deformation structure and microstructure characteristics of the pavement steel bars.

The utility model discloses a nondestructive testing device for corrosion of a reinforced concrete structure in the technical field of steel bar corrosion detection. During detection, a first motor controls a supporting table to rotate and cooperates with a first lead screw nut to control an adjusting device and a detection device to move upwards, then a second motor is started, a rotating rod drives a gear to rotate, under the action of a toothed bar, the detection device is driven to move rightwards, and then the front end, the rear end and the upper end of a reinforcing steel bar are detected conveniently; then, a gear is matched with a toothed bar to control the detection device to move leftwards for resetting, a handle is pulled rightwards to enable a clamping block to be separated from a groove cavity of a clamping groove, a fixed block is rotated by 180 degrees, and when the handle is loosened, the clamping block is clamped into the groove cavity of the clamping groove, so that a second rectangular waveguide is located above, and a reinforcing steel bar is detected from the lower portion of a reinforced concrete block; and a third motor is started, so that a second reciprocating lead screw is matched with a second lead screw nut to drive a cross rod and a scanning assembly to move rightwards, and a second rectangular waveguide synchronously and gradually moves rightwards, so that the steel bars are detected conveniently.

The invention belongs to the technical field of reinforcing steel bar detection, and particularly relates to a reinforced concrete structure corrosion remote detection device which comprises a reinforcing steel bar corrosion quantitative detector, a supporting frame is installed at the top end of the reinforcing steel bar corrosion quantitative detector, and an X-ray emitter and an X-ray detector are arranged on the two sides of the reinforcing steel bar corrosion quantitative detector respectively. A mounting base is mounted in the middle of the supporting frame. By installing the X-ray emitter and the X-ray detector on the quantitative detector for steel bar corrosion, the X-ray emitter on the quantitative detector for steel bar corrosion can emit X-rays, the X-rays are emitted to the surface of a steel bar in concrete, then the X-ray detector captures rays penetrating through the steel bar, and a visual image is formed on the display. And an image is transmitted to a remote control center through a signal antenna, so that the corrosion of the reinforcing steel bar in the reinforced concrete can be quickly and effectively detected remotely, manual detection is not needed, and the accuracy and convenience of the device during detection are improved.

The utility model belongs to the technical field of steel bar detection, especially relate to a reinforced concrete structure corrosion remote detection device, including steel bar rust quantitative detector, steel bar rust quantitative detector top end is equipped with support frame, steel bar rust quantitative detector both sides are equipped with X -ray emitter and X -ray detector respectively, support frame middle part is equipped with mounting seat. Through installing X -ray emitter and X -ray detector on steel bar rust quantitative detector, can let the X -ray emitter on steel bar rust quantitative detector emit X -ray, let X -ray shoot to the steel bar surface in the concrete, again through X -ray detector capture the ray of steel bar penetration, and form visual image on the display, again through signal antenna will image emit to remote control center, thereby can fast the steel bar corrosion in reinforced concrete is carried out effective remote detection, need not manual detection of artificial, improved the accuracy and convenience of device detection time.

The invention relates to the technical field of concrete, and discloses a preparation method of high-performance recycled concrete, which comprises the following steps: preparing modified hyperbranched polypropylene fibers from an intermediate 1 and an intermediate 2, and stirring the hyperbranched polypropylene fibers with fly ash, slag, cement, silica fume, sand, stone, recycled aggregate, water, a water reducer and steel fibers to obtain the high-performance recycled concrete. And synthesizing the high-performance recycled concrete. In the invention, the modified hyperbranched polypropylene fiber disperses stress through a three-dimensional network structure, the steel fiber provides macroscopic toughness, the hyperbranched polypropylene fiber delays the damage process through bridging cracks, and the steel fiber absorbs energy through pullout work to form a coarse-fine graded toughening system. An imidazoline functional group on the surface of the modified hyperbranched polypropylene fiber and the surface of the steel bar form a passive film, the steel bar is prevented from corroding the recycled aggregate concrete, the performance of the recycled aggregate concrete is close to that of common concrete, and natural aggregate exploitation and carbon emission are reduced by optimizing the utilization rate of the recycled aggregate.

The application relates to the technical field of civil engineering structure health monitoring, and discloses a reinforcing steel bar corrosion quantitative monitoring method based on an electromagnetic field and a probe type monitoring device, wherein the electromagnetic field is generated by a first probe and a second probe in the probe type monitoring device, and the first probe and the second probe are arranged on the two sides of a target position of a reinforcing steel bar to be measured; the method comprises the following steps: detecting the current magnetic field intensity on the two sides of the target position through the first probe and the second probe, and determining the magnetic field intensity change rate of the current magnetic field intensity relative to a preset reference magnetic field intensity; based on the reinforcing steel bar spacing between the reinforcing steel bar to be measured and an interfering reinforcing steel bar, a sensitivity correction coefficient is determined, and the theoretical sensitivity is corrected based on the sensitivity correction coefficient, wherein the theoretical sensitivity refers to the sensitivity of the magnetic field intensity change on the two sides of the target position to the reinforcing steel bar corrosion when the reinforcing steel bar is not interfered by the interfering reinforcing steel bar; and based on the magnetic field intensity change rate and the corrected sensitivity, the corrosion rate of the target position is determined. The application can achieve the technical effect of improving monitoring precision.

The application discloses a movable assembled construction sand purification device and system, and belongs to the field of construction sand purification. The sand cleaning equipment is integrated into movable modules according to different functions, and the modules are combined according to process requirements. When used, the modules can be combined, and part of the modules can be reused. Various functional devices are respectively integrated and installed in a box, the box can be transported to a use site by a transport tool, and can be used after unloading and hoisting. Different combination modes can be adopted according to different properties of sand, such as machine-made sand, sea sand or river sand, to form a purification system. The purification system can effectively remove the edges and corners of machine-made sand, needle-shaped sand and weathered layers on the surface of sand particles, effectively remove the chloride salt (chloride ion content can reach 0.000% to 0.002%) and other harmful substances of sea sand, reduce the sea sand into the state of river sand before entering the sea, and can be safely used like river sand, so that the reinforcement corrosion and the deterioration of concrete are avoided.

The present application relates to the technical field of nondestructive testing and evaluation of reinforced concrete structures, and discloses a method and system for detecting defects of reinforced concrete structures. The method ensures sufficient wetting by pretreating the concrete surface, identifies crack features using three-dimensional point cloud technology and adaptively adjusts the spacing between measurement points, and simultaneously performs potential gradient and linear polarization measurement to obtain internal data of the concrete. The system integrates environmental sensors to compensate for the effects of temperature and humidity in real time, uses a multi-source information fusion algorithm to comprehensively evaluate the degree of reinforcement corrosion, and divides the corrosion level. The system improves detection accuracy and adaptability, provides a reliable basis for structure maintenance, and effectively prolongs the service life of the structure.

The application discloses a kind of ocean reinforced concrete corrosion rate measuring system and method based on UWFBG, system includes optical fiber strain acquisition transmission module, optical fiber data processing analysis module, monitoring result real-time output module, marine environment simulation module, quantitative contrast determination module, corrosion electrode potential comparison monitoring module and the reinforced concrete with sensing optical fiber;Method is, the center wavelength drift of the UWFBG measuring point on the surface of reinforced concrete is obtained, and the surface net strain value is obtained;Establish steel-NaCl solution-carbon rod-direct current constant voltage power supply loop, record the mass loss rate of steel and corrosion electrode potential, establish the relationship curve of fiber measurement strain value-mass loss rate-corrosion electrode potential, according to the conversion of rust expansion strain and steel corrosion mass loss established, corrosion process is cross-validated by corrosion electrode potential change;Realize the corrosion rate measurement and verification of reinforced concrete structure in marine environment in real time, quantitatively, quasi-distributed.

The invention provides a reinforcing steel bar corrosion testing method, system and equipment, and relates to the field of reinforcing steel bar corrosion tests.According to the method, a testing body formed by testing assemblies corresponding to a to-be-tested reinforcing steel bar is utilized, long-term stable loading can be conducted on the to-be-tested reinforcing steel bar in a tension self-balance state, and therefore reinforcing steel bar corrosion testing in the loading state is achieved; the tension change value of the to-be-tested steel bar can be subjected to long-term statistics, and the steel bar corrosion testing precision is greatly improved.

The invention provides a steel bar corrosion immediate response corrosion inhibition system and a preparation method and application thereof, and belongs to the technical field of corrosion inhibitors. The preparation method disclosed by the invention comprises the following steps: mixing triethanolamine, polyphenols and 4-dimethyl pyridine, and then carrying out a reaction, so as to obtain anti-rust molecules; the preparation method comprises the following steps: mixing aniline, ethylbenzene, a lauryl sodium sulfate aqueous solution and rust-inhibiting molecules, and emulsifying to obtain a microemulsion; and mixing the microemulsion with a polyvinyl alcohol aqueous solution, and dropwise adding an ammonium persulfate aqueous solution to carry out polymerization reaction, thereby obtaining the steel bar corrosion immediate response corrosion inhibition system. The corrosion inhibition molecule (at) PANI corrosion inhibition system can immediately respond to steel bar corrosion, the steel bar corrosion rate can be remarkably controlled within 3 h after active corrosion of steel bars occurs, a stable protection layer is formed within 12 h, and generation of steel bar corrosion products is reduced.

This application provides a method, apparatus, and equipment for predicting corrosion current and rust in reinforced concrete under low-pressure environments, belonging to the field of engineering simulation modeling technology. The method includes: establishing a coupled transport model within the concrete considering oxygen concentration, sulfate ion diffusion behavior, and chloride ion diffusion behavior; establishing a model for predicting the corrosion current density and corrosion depth of the reinforcing steel, used to predict the charge number at different locations within the reinforcing steel, and calculating the corrosion depth and rust product content based on the corrosion current density; and establishing a linear elastic damage model, used to simulate the evolution of concrete damage caused by steel corrosion based on the rust product content output by the steel corrosion current density prediction model, thereby achieving accurate prediction of rust and damage. This method considers changes in oxygen concentration under low pressure, and by describing oxygen diffusion, incorporates the output of the transport model as a dynamic variable into the corrosion current calculation process, improving the accuracy of corrosion current and steel corrosion prediction.

The invention discloses an evaluation system for steel bar corrosion in concrete under seawater erosion, which comprises a container filled with simulated seawater liquid; the test sample is soaked in the simulated seawater liquid and comprises a shell; the wire beam electrode array module is arranged in the shell and comprises a plurality of metal wires which are arranged in an array form; the upper end of each metal wire is connected with a lead; the concrete module is arranged in the shell and below the tow electrode array module, and a crack communicated with the tow electrode array module is formed in the concrete module; the lower end of the reference electrode is soaked in the simulated seawater liquid, and the upper end is connected with a wire; and the electrochemical workstation is respectively connected with the metal wires and the reference electrode through leads. The invention further discloses a method for evaluating the corrosion of the reinforcing steel bars in the concrete under seawater corrosion. The evaluation system and method can simulate the corrosion condition of the reinforcing steel bars in the concrete under seawater erosion, so that a basis is provided for analyzing the corrosion condition of the reinforcing steel bars in the concrete under seawater erosion under actual working conditions.

This application discloses a data augmentation method, device, storage medium, and computer program product, relating to the field of bridge performance prediction technology. The method includes: obtaining the spatial distribution of steel reinforcement corrosion rate; determining the standard deviation of the steel reinforcement corrosion rate based on the spatial distribution; and determining the logarithmic function relationship between the standard deviation and the average corrosion rate of the steel reinforcement through a fitting method; simulating the spatial distribution of the steel reinforcement corrosion rate using the Nataf transform method based on the standard deviation and the average corrosion rate to generate a steel reinforcement corrosion rate distribution that follows a logarithmic distribution, and inputting this distribution into a finite element model of a reinforced concrete beam to obtain the crack width distribution; iteratively executing the above steps until a termination condition is met, at which point the calculation ends and returns to establish the mapping relationship between the spatial distribution of steel reinforcement corrosion rate and the crack width distribution. This application can solve the problem that the data available for obtaining this sequence-sequence mapping relationship under existing laboratory conditions is very limited.

The application discloses a microwave detection-based imaging method for internal corrosion state of a reinforced concrete structure, and comprises the following steps: S1, setting a moving step D1 and a scanning frequency f1 of a rectangular waveguide along an X axis and a moving step D2 and a scanning frequency f2 of the rectangular waveguide along a Y axis; S2, acquiring a position interval of a steel bar in a concrete base by scanning with the rectangular waveguide; S3, obtaining a reference value matrix Γ0 of the steel bar without corrosion by scanning the concrete base with the rectangular waveguide; S4, performing X-axis parallel scanning on the reinforced concrete base by using the rectangular waveguide to obtain a transmission coefficient matrix set Γ representing a corrosion degree of the steel bar, and labeling subsets in the transmission coefficient matrix set Γ according to the corrosion degree; and S5, importing the transmission coefficient matrix set Γ and position information of the corroded steel bar into MATLAB for data imaging processing to obtain a three-dimensional stereoscopic imaging diagram. According to the scheme, engineering and technical personnel can intuitively obtain the internal corrosion state of the reinforced concrete base.

The invention relates to the technical field of offshore photovoltaic, and provides an offshore photovoltaic pile foundation repairing effect monitoring method and system.The method comprises the steps that the rebar corrosion rate, the temperature and humidity of a concrete protection layer, pile top vibration and pile body strain of a repaired offshore photovoltaic pile foundation are obtained; on the basis of the temperature and humidity of the concrete protective layer, after the obtained reinforcement corrosion rate is converted into the corrosion rate under the standard condition, the stirrup radius loss rate is calculated; establishing a three-dimensional model of the offshore photovoltaic pile foundation, introducing the radius loss rate of the stirrup into the three-dimensional model, performing simulation prediction on pile top vibration and pile body strain, and adjusting the size of the stirrup in the three-dimensional model by comparing with the obtained pile top vibration and pile body strain; and based on the adjusted three-dimensional model, the remaining life of the repaired offshore photovoltaic pile foundation is determined in combination with the obtained pile top vibration and pile body strain. And effective evaluation of the repair quality is realized.

To provide a method for evaluating reinforcing bar corrosion that can relatively easily confirm the repair effect of electrochemical treatment. A method for evaluating rebar corrosion involves measuring the natural potential before and after electrochemical treatment.

A data augmentation method includes: obtaining spatial distribution of reinforcing steel corrosion rate along a length direction, determining a standard deviation of the reinforcing steel corrosion rate based on the spatial distribution of reinforcing steel corrosion rate along the length direction, and determining a logarithmic functional relationship between the standard deviation of reinforcing steel corrosion rate and an average reinforcing steel corrosion rate through a fitting method; simulating the spatial distribution of reinforcing steel corrosion rate along the length direction using a Nataf transformation method to generate a distribution of reinforcing steel corrosion rate conforming to a logarithmic distribution, inputting the distribution of reinforcing steel corrosion rate into a finite element model of the reinforced concrete beam, and obtaining a crack width distribution corresponding to the distribution of reinforcing steel corrosion rate conforming to the logarithmic distribution; where the steps are repeatedly executed until a termination condition is met.

The present invention relates to a method for detecting the corrosion of steel bars in a cement cover plate based on a TMR array, belonging to the field of electromagnetic measurement. In this method, the electromagnetic characteristics of the steel bars in the cement cover plate are simulated and analyzed by COMSOL software. The basic method selects the finite element analysis method, and the magnetic field solver is selected in the solver. According to the literature and simulation results, the influence of steel bar corrosion on its electromagnetic characteristics is analyzed, and a typical value of steel bar corrosion is proposed. The present invention designs a system for detecting the corrosion of steel bars in a cement cover plate based on a TMR array, measures the magnitude of the magnetic induction intensity in the measurement space, and constructs a magnetic induction intensity surface by interpolation. On this basis, the surface is integrated, and the corrosion degree of the steel bar is judged by the magnitude of the integral value.