179 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 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 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 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 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 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 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 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.

The invention discloses a quantitative detection method for corrosion of a steel bar in a simply supported beam, which comprises the following steps: a) acquiring a magnetic signal of the steel bar in the simply supported beam; b) establishing a quantitative diagnosis index which reflects the fluctuation amplitude of the magnetic signal and has correlation with the corrosion depth of the corrosion area; and c) obtaining the corrosion depth of the corrosion area according to the correlation between the quantitative diagnosis index and the corrosion depth. According to the method, on the premise that the magnetic signal of the steel bar in the simply supported beam is detected and the position and the corrosion area of the corroded steel bar are obtained, the quantitative diagnosis index which reflects the fluctuation amplitude of the magnetic signal and has correlation with the corrosion depth of the corrosion area is established, and the corrosion depth of the corrosion area is quantitatively analyzed through the correlation. Therefore, the corrosion condition of the load-bearing steel bar can be better evaluated, and a basis is provided for follow-up management and maintenance of simply supported beams.

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.

A prefabricated panel for a manure cleaning pool of a cow house comprises a road body arranged beside a cow fence of a dairy farm and an anti-skid groove in the road direction, and the road body sequentially comprises a foundation soil layer, a rammed earth layer, a broken stone hardcore, a cast-in-place concrete layer and a concrete surface layer from bottom to top. According to the prefabricated panel for the manure cleaning pool of the cowshed, the Tenggri desert sand is used for replacing 30% or above of fine aggregate to successfully prepare C30-C40 common concrete. By adopting the fabricated desert sand concrete pavement, the mechanical property degradation resistance under complex conditions such as organic matter erosion, freeze thawing and low temperature is enhanced, the influence of organic matter on corrosion of steel bars in concrete is reduced, ground diseases such as concrete surface pits and spalling and corrosion of the steel bars are prevented, the service life of the concrete ground is prolonged, and the service life of the concrete ground is prolonged. The cow hoof is prevented from being affected by external factors such as stone exposure.

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 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.