153 results about "Rebar corrosion" patented technology

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 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 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 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 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.

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 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.

The invention discloses a steel bar corrosion detection mechanism for a water conservancy project, the steel bar corrosion detection mechanism for the water conservancy project comprises an upper base and a lower base which are connected, the upper base is provided with an adjusting module used for adjusting the steel bar corrosion detection distance, and the lower base is provided with an auxiliary module used for adjusting the steel bar corrosion detection distance. According to the actual corrosion degree of the reinforcing steel bar, the distance between every two adjacent detection points is dynamically adjusted through the adjusting module, the unnecessary detection frequency at non-key parts is reduced, the invalid operation frequency of workers is reduced, and manpower and material resources are saved. And for equipment, the detection times are effectively reduced, the start-stop times and frequency of the equipment are reduced, and the service life of the steel bar corrosion detection mechanism for the water conservancy project is prolonged.

The invention discloses a construction method for a post-cast strip of an underground shear wall. The construction method comprises the following steps: S1, constructing a raft foundation; s2, shear wall construction; s3, post-cast strip water stop structure construction, wherein a water stop structure of an arch ring structure is built on the outer side of the post-cast strip area of the shear wall, and waterproof layer operation and earthwork backfilling operation are conducted on the outer side of the water stop structure; s4, post-cast strip construction is conducted, specifically, after post-cast strip formworks are manufactured and installed in the post-cast strip area, concrete pouring of the post-cast strip area is completed; according to the post-cast strip water stop structure, the waterproof effect of the post-cast strip is enhanced, corrosion of steel bars in the post-cast strip and water accumulation of a basement caused by permeation before the post-cast strip of the basement is sealed are avoided, the rainfall construction amount can be reduced, the construction time is saved, the engineering quality is improved, and the engineering construction difficulty is reduced; and meanwhile, the post-cast strip is sealed through the post-cast strip water stop structure, so that construction period delay caused by post-cast strip construction intermittence can be reduced, and basement exterior wall waterproof layer construction and foundation pit backfilling earthwork operation are carried out in advance.

The invention discloses a method and device for evaluating the wind resistance of a distribution network line, and belongs to the technical field of line evaluation, and the method comprises the steps: obtaining the structure parameters, operation duration, line images and environment data of the distribution network line in real time; detecting the line image, and determining concrete damage data and steel bar corrosion data of the distribution network line; predicting the concrete strength of the distribution network line according to the commissioning duration and the environmental data; on the basis of the steel bar corrosion data and preset non-corroded steel bar strength, the corroded steel bar strength of the distribution network line is predicted; constructing a numerical analysis model of the distribution network line based on the structural parameters, the concrete strength, the corroded steel bar strength and the concrete damage data; and performing dynamic analysis on the numerical analysis model, and determining the limit wind speed and the wind-resistant vulnerable position of the distribution network line. Therefore, by implementing the method and the device, the problem of low accuracy of wind resistance assessment in the prior art can be solved.

The utility model discloses a green low-carbon renewable concrete block structure which comprises a concrete block mechanism, the concrete block mechanism comprises a concrete block body, a heat preservation filling layer and reinforcing ribs are filled in the concrete block body, a waterproof layer is arranged outside the concrete block body, and a fixing plate is fixed on the waterproof layer. Compared with the prior art, the reinforced concrete block has the advantages that the mechanical strength of the concrete block body is effectively enhanced through the reinforcing ribs which are reasonably arranged inside the reinforced concrete block body, and the safety and the stability of a building structure are improved; meanwhile, the degradable waterproof material coating waterproof layer can effectively block water erosion, the problems of internal structure damage, steel bar corrosion and the like caused by water permeation are avoided, the thermal insulation filling layer is beneficial to reducing thermal expansion and cold contraction stress generated by temperature change of the concrete block, the later maintenance cost and frequency are reduced, and the service life of the concrete block is prolonged. And resource consumption and expenditure of the whole life cycle of the building are reduced.

The utility model relates to the technical field of motor control, in particular to an intelligent steel bar covering system which solves the technical problems that time and labor are wasted when outdoor steel bars are covered manually, and the steel bars are rusted due to the fact that the covering is not timely. The device comprises a compound folding canopy, an intelligent controller, a water sensor, a diffuse reflection inductive sensor, an audible and visual alarm, a first thermal overload relay KH1, a second thermal overload relay KH2, a first contactor KM1, a second contactor KM2, a third contactor KM3, a fourth contactor KM4 and a knob switch SA. According to the utility model, steel bar raw material management can be protected in real time, the labor cost is saved, the material management and control level is improved, the construction civilization degree of the building industry is enhanced, and an intelligent construction technology is developed; the automatic opening of the canopy is realized, so that the management of the construction site is more intelligent and convenient, a certain foundation is laid for the construction of the intelligent construction site, and the development and transformation of the industry are promoted.

This invention discloses a method and system for identifying apparent damage to bridge concrete based on texture analysis, belonging to the interdisciplinary field of bridge engineering inspection and computer vision technology. The method includes: acquiring surface images of bridge components using a drone and generating orthophotos; extracting contrast, correlation, and entropy features based on the gray-level co-occurrence matrix; extracting histogram features based on local binary patterns; detecting corrosion and seepage areas based on the HSV color space; fusing multi-dimensional features and inputting them into a multi-label classifier, simultaneously outputting pixel-level segmentation masks for multiple types of damage such as cracks, spalling, exposed rebar corrosion, and seepage; generating a damage level score and maintenance recommendation report according to bridge technical condition assessment standards. This invention integrates complementary texture features to achieve simultaneous identification of multiple types of damage, outputs pixel-level segmentation results, and automatically generates an assessment report that conforms to engineering specifications.

The utility model relates to building guardrail technical field, the utility model discloses a basalt composite concrete guardrail, comprising the following components: guardrail main part is made of basalt composite concrete, has the shape and size of preset, multiple groups of fixed base, equidistance distribution is fixed in ground, is used for supporting guardrail main part, this basalt composite concrete guardrail adopts basalt composite rib as force skeleton, and basalt composite rib has excellent corrosion resistance, can effectively resist the above-mentioned erosion, avoids the guardrail crack problem caused by the corrosion of reinforcing steel bar, guarantees the structural strength and service life of guardrail, and the basalt fiber is mixed in basalt composite concrete, and the crack resistance and impact resistance of guardrail main part are significantly improved, when the guardrail is impacted or temperature change etc.

The invention relates to an electromagnetic induction type concrete pole and tower steel bar corrosion nondestructive testing device and method, and solves the problems that the overall higher concrete pole is difficult to detect, and when electromagnetic corrosion nondestructive testing is carried out on steel bars in the concrete pole, the detection device needs to be manually pushed to move, so that the detection efficiency is high. And the operation of the whole monitoring process is tedious. Comprising a concrete pole, and the outer side of the concrete pole is provided with a self-lifting electromagnetic concrete pole tower steel bar corrosion detection device. The self-lifting type electromagnetic concrete tower steel bar corrosion detection device can automatically drive the whole equipment to move up and down along a concrete tower, and meanwhile, the wireless concrete steel bar corrosion instrument for carrying out detection operation can be automatically driven to move in parallel through the interior of the self-moving type electromagnetic concrete steel bar corrosion instrument; through the technical scheme, the automation degree of the equipment is improved, and the equipment is more convenient and faster to use.

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.

This invention proposes an intelligent prediction method for performance degradation and durability limit state assessment of reinforced concrete structures, comprising: establishing a probabilistic model of random variables for environmental and structural parameters; constructing an intelligent prediction model for chloride ion diffusion by fusing convolutional neural networks, and using Monte Carlo sampling analysis to analyze the probability distribution of the initial corrosion time of the reinforcing bars to predict the depassivation time of the reinforcing bars; establishing a time-varying corrosion model of the reinforcing bars to obtain the change of the corrosion loss rate of the reinforcing bars over time; further, using an incremental static analysis method, establishing a multi-scale finite element model of the reinforced concrete structure under different corrosion rate conditions through random sampling; obtaining the critical load value under the limit state to obtain the failure probability curve under different corrosion degrees; and finally, by defining a bearing capacity reduction coefficient, obtaining the bearing capacity failure time of the reinforced concrete structure to achieve the durability limit state assessment of the reinforced concrete structure under corrosion.

The invention relates to the technical field of computer-aided building design, discloses a concrete beam reliability index calculation method and device considering uneven corrosion of a reinforcing steel bar, electronic equipment, a readable storage medium and a program product, and is used for solving the problem that an existing reliability index calculation method cannot consider nonuniformity of the corrosion of the reinforcing steel bar in the longitudinal direction of the reinforcing steel bar. And the calculation result cannot reflect the real situation. The method comprises the following steps: obtaining design parameters of a concrete beam and a probability distribution function of a corrosion non-uniform coefficient of a reinforcing steel bar; dispersing the concrete beam into a plurality of sampling units, and sampling the corrosion non-uniform coefficient based on a probability distribution function to obtain a sampling coefficient; based on the sampling coefficient and the design parameters of the concrete beam, constructing a bearing performance function of each sampling unit, calculating a function value and judging the simulation failure condition of the concrete beam in the current cycle; and calculating the failure probability of the concrete beam in all cyclic sampling, and calculating the reliable index of the concrete beam according to the failure probability.

The present invention discloses a method for determining the critical chloride ion concentration that causes steel bar corrosion in simulated concrete pore solution. The present invention combines the one-dimensional pitting electrode technology and the multi-cycle polarization scanning test technology, determines the corrosion initiation behavior of a single pitting pit based on the LSF metal local corrosion theory, and provides a new idea for judging the corrosion initiation of steel bars. The present invention can more effectively and accurately obtain the critical point of steel bar corrosion initiation, significantly reduce the dispersion of the test results of the critical chloride ion concentration, and shorten the test cycle at the same time, so as to obtain a more scientific and reliable critical chloride ion concentration value than the traditional test method.

The invention discloses a system and a method for identifying a steel bar corrosion image by scanning a leakage magnetic field, and belongs to the technical field of nondestructive testing and computer vision. The system quickly acquires a leakage magnetic field two-dimensional distribution image through a magnetic sensor array, and performs pixel-by-pixel classification on the image by adopting a semantic segmentation network based on an encoder-decoder architecture; dividing healthy, mild, moderate and severe rusting areas; a space attention and channel attention mechanism is introduced to identify serious corrosion characteristics such as leakage magnetic field gradient mutation and polarity reversal, and the detection precision is enhanced; a domain adaptive strategy of adversarial training is adopted to reduce feature distribution differences in different detection scenes, and generalization ability is improved; performing three-dimensional reconstruction through coordinate registration and spatial interpolation in combination with reinforcement information to generate a corrosion spatial distribution model; according to the method, the detection efficiency is high, the recognition precision is accurate, the adaptability is high, visualization is visual, and an intelligent technical means is provided for concrete structure health monitoring.

The present invention provides a test method for assessing the condition of steel bar corrosion using the surface expansion rate method, belonging to the field of geotechnical engineering testing technology. The method comprises the following steps: establishing a relationship formula between steel bar corrosion and concrete surface expansion based on the transmission mechanism of steel bar corrosion expansion to concrete; deriving and calculating the concrete surface expansion rate by testing the unevenness of the concrete surface; and quantitatively assessing the condition of steel bar corrosion. The test method for assessing the condition of steel bar corrosion using the surface expansion rate method provided by the present invention is an indirect method for assessing the condition of steel bar corrosion in concrete. Compared with traditional resistivity and half-cell potential methods, the method has the advantages of quantitative rating, fast and convenient operation, non-destructiveness to concrete, and no restrictions on the testing environment, making it easy to promote on a large scale.