617 results about "Freeze thawing" patented technology

The invention belongs to the technical field of rock freeze-thaw damage prediction, and relates to a deep learning rock freeze-thaw damage prediction method based on physical constraints, which is used for improving the physical consistency and prediction precision of a rock freeze-thaw damage prediction model. According to the method, a physical constraint formula is introduced into a data-driven deep learning model, and organic unification of data fitting and physical rationality is realized by using an adaptive weight strategy. The prediction method comprises the steps of data acquisition, data set generation, network construction, physical constraint mechanism formula design, rock freezing and thawing experiment observation or theoretical formula derivation, design of a formula reflecting evolution of various physical properties, model training and prediction output. The deep learning rock freeze-thaw damage prediction method based on the physical constraint has the advantages that generalization ability is remarkably improved, physical continuity and consistency are higher, multi-parameter and multi-source data are comprehensively applied, a staged self-adaptive training strategy is adopted, cost and resources are saved, operation is easy and convenient, and application and popularization are convenient.

The present invention relates to the technical field of mine rock slope analysis, and in particular to a freeze-thaw damage analysis method and system for mine rock slopes. The method comprises the following steps: selecting mine rock slope samples, performing freeze-thaw cycle tests on the mine rock slope samples, and obtaining rock freeze-thaw test information; on the basis of the rock freeze-thaw test information, setting displacement analysis indices, and on the basis of the displacement analysis indices, obtaining displacement variations of rock slopes under freeze-thaw cycles; on the basis of the rock freeze-thaw test information, analyzing plastic damage conditions and mine safety coefficients of the rock slopes under the freeze-thaw cycles; on the basis of the rock freeze-thaw test information, establishing a stress analysis model, and by means of the stress analysis model, obtaining stress distribution conditions of the rock slopes under the freeze-thaw cycles; and by combining the displacement variations, the plastic damage conditions, the mine safety coefficients and the stress distribution conditions, analyzing damage results of the mine rock slopes. In the present invention, multi-objective analysis of freeze-thaw damage conditions of mine rock slopes is performed, thereby ensuring the stability of the rock slopes.

The invention relates to the technical field of remote sensing science and technology, in particular to a frozen soil region freeze-thaw disaster identification method and system and a storage medium, and the method comprises the steps: generating a target differential interference image set; carrying out homogeneous point filtering, phase unwrapping optimization and unwrapping error correction on the basis of the target differential interference image set to obtain an unwrapped phase image set; for each unwrapped phase diagram, performing uniform sub-block division, and based on an elevation-phase empirical relationship, estimating and removing an atmospheric delay phase existing in each sub-block through a linear fitting method to obtain a phase optimization diagram set after atmospheric influence is removed; performing sequential superposition on unwrapping phases corresponding to the interferograms in the phase optimization diagram set, and performing analysis by using the relationship between the average phase change rate after superposition and the radar wavelength to obtain earth surface deformation data; and unsupervised classification and screening are carried out based on the earth surface deformation data, and freeze-thaw change areas are optimized, so that a high-precision freeze-thaw recognition result is obtained.

The invention relates to the technical field of dam body detection, in particular to a dam body leakage diagnosis method and system based on an AI technology. The method comprises the following steps: acquiring a sensor array data set, analyzing the sensor array data set, and determining a unified space-time detection data set; analyzing the unified space-time detection data set, determining a freeze-thaw conversion time axis, tracking and screening corresponding detection data in the unified space-time detection data set according to the freeze-thaw conversion time axis, and determining a target period detection data set; and according to the target period detection data set, evolution simulation is conducted on the seepage development situation of the dam foundation curtain, and dam foundation curtain seepage trend information is determined and output. According to the method, the pushing effect of the freezing and thawing cycle on the dam foundation curtain leakage condition is accurately captured, the dam foundation curtain leakage trend information used for visually representing the dam foundation curtain leakage development state is provided for corresponding dam body maintenance personnel, and the hysteresis of the dam foundation curtain leakage detection result is effectively eliminated.

The invention provides an ultrahigh bridge tower safety regulation and control method and system based on a concrete time-varying effect, and relates to the technical field of bridge tower regulation and control systems. Aiming at the problems that in the prior art, the prediction accuracy of long-term internal force redistribution caused by concrete shrinkage and creep is insufficient, the coupling effect of multiple risk factors and bridge tower concrete shrinkage and creep is insufficiently considered, so that the prediction accuracy of the state of a bridge tower is low, and a maintenance regulation and control guidance basis is lacked, multi-source heterogeneous data are fused, and the prediction accuracy of the state of the bridge tower is improved. Concrete shrinkage and creep, dynamic ice impact, static ice pressure, concrete freeze thawing and ice wedging influence indexes are calculated respectively, a comprehensive risk assessment model based on machine learning is adopted for fusion, and a comprehensive risk report containing risk levels and regulation and control suggestions is generated; according to the method, the accuracy of single risk factor assessment is remarkably improved, the comprehensive prediction precision of complex coupling risks is improved, and the decision robustness and maintenance efficiency of the system in a multi-risk concurrent complex scene are enhanced.

The invention discloses a permafrost hydrothermal state simulation method and system based on a physical model, and relates to the technical field of permafrost region engineering. The method comprises the following steps: acquiring meteorological driving data and land surface feature data; constructing a numerical model of a permafrost hydrothermal process by considering a permafrost freezing and thawing process and a soil ice effect by utilizing land surface feature data; preparing boundary constraint conditions of the numerical model according to the meteorological driving data and the existing temperature field data; and performing permafrost hydrothermal state simulation on the land surface characteristic data by using meteorological driving data, constraint condition data, key vegetation and soil parameters and a driving numerical model to obtain a sample set formed by key permafrost hydrothermal information. According to the method, the dependence of an existing model on data and structures is broken through, the multi-scale application requirement of the permafrost region is met, and finally a high-quality meteorological driving and boundary constraint condition data set suitable for permafrost simulation without an observation region can be generated.

The invention provides a hydraulic concrete freeze-thaw damage microstructure segmentation method, electronic equipment and a medium. The method comprises the following steps: acquiring concrete two-dimensional CT images of different freeze-thaw cycle times; and taking the concrete two-dimensional CT image as the input of the U-Net network model, and training the U-Net network model to obtain a concrete microstructure segmentation model. According to the method, the problem that high-density groups of hydrated silicate, calcium hydroxide, unhydrated clinker and the like belonging to a mortar phase are misclassified into coarse aggregates is effectively avoided, and the problems that a traditional threshold method is not obvious in dividing boundary and unstable in dividing result are solved. The method provides an effective means for quantifying the influence of freeze-thaw damage on a multi-scale pore structure in the concrete and establishing damage evolution of the concrete under the action of freeze-thaw cycle.

The invention relates to the technical field of water and soil loss monitoring, in particular to a water and soil loss monitoring and early warning system and method based on the Internet of Things. The system comprises a water and soil data acquisition and processing unit which acquires meteorological data, soil environment data and regional basic data by using an NB-IoT communication technology based on an Internet of Things sensor; the soil state monitoring unit divides a soil state monitoring period into a freezing period, a transition period and a rainwater period by using a soil state label mechanism; the water and soil loss monitoring unit combines the snow melting factor and the rainfall factor into a USLE model to obtain soil erosion amount models in different periods, and calculates the soil erosion amount; and the water and soil loss early warning unit analyzes the water and soil loss risk of each period and performs early warning. Based on a soil state label division mechanism of a freezing period, a transition period and a rainwater period and a staged water and soil loss monitoring model construction method, dominant erosion factors are dynamically switched according to freezing and thawing characteristics of black land in northeast China, and water and soil loss monitoring is achieved.

The present invention discloses a kind of preparation method and use method of anti-abrasion concrete admixture under freeze-thaw-solution environment, the admixture includes the components of following parts by weight:50~60 parts of STG powder, 5~8 parts of polyimide fibers, 1~3 parts of hydroxypropyl methyl (HPMC) cellulose, 10~13 parts of polycarboxylate water-reducing agent, 10~15 parts of antifreeze, 10~13 parts of expansion agent, wherein STG powder includes modified silica fume-glass powder, silicon carbide titanium, graphene oxide. Anti-abrasion concrete admixture under freeze-thaw-solution environment of the present invention can effectively suppress the decomposition of calcium hydroxide, and can refine pore structure, make hydraulic concrete more compact, while improving the ability of hydraulic concrete to resist dissolution, enhance its anti-abrasion performance, the admixture has good low temperature resistance, can be applicable to cold low temperature environment, for the anti-abrasion strength under low temperature conditions there is obvious improvement.

The invention discloses a concrete mortar material mix proportion optimization method and system, and belongs to the technical field of concrete mortar. The invention discloses a concrete mortar material mix proportion optimization method. The method comprises the following steps: S1, establishing an initial mix proportion model; s2, obtaining an initial concrete mortar material mix proportion scheme; s3, constructing a concrete mortar material mix proportion optimization model; and S4, obtaining the mixing proportion of the concrete mortar material. The problem that the proportioning ratio of concrete mortar materials cannot be optimized in the prior art is solved, the use amount of a cementing material can be reduced, the cost is further saved, the compression resistance and the tensile strength are enhanced, the permeability and the carbonation are reduced, the freeze-thaw resistance and the erosion resistance are improved, the service life is prolonged, the slump, the fluidity and the plasticity can be improved, and the concrete mortar is suitable for large-scale production. The preparation method is simple, economic loss is reduced, the material mixing ratio can be optimized according to carbon emission, carbon dioxide generated in the concrete mortar production process is reduced, and the environmental protection effect is improved.

According to the cold region slope multi-field coupling effect simulation test device and method, the device is composed of a freeze-thaw environment test box, a slope model, an anchor rod axial loading system, a crack water injection assembly and a multivariate data monitoring system, and the multi-physical field coupling effect of freeze-thaw cycle, crack water permeation and long-term creep can be simulated. By dynamically adjusting the temperature gradient and graded loading parameters, data of a stress field, a temperature field and a displacement field can be collected in real time, the influence of different freeze-thaw conditions and creep drawing loads on a slope damage mechanism can be analyzed, a key test means is provided for revealing the strain rate effect, the aging deformation characteristics and the instability criterion of the slope in the cold region, and the test efficiency is improved. The method has an important guiding value for stability evaluation and disaster prevention and control of the cold region slope engineering.

A plateau mountain area road slope geological disaster automatic identification method fusing multiple data comprises the following steps: S1, acquiring multi-source heterogeneous data of a target slope area, including a time sequence satellite optical image, synthetic aperture radar interferometry (InSAR) deformation data, laser radar (LiDAR) point cloud data, meteorological and hydrological data and basic geological data, and generating fusion data; s2, constructing a space-time registration module, unifying the multi-source data obtained in the S1, establishing a unified space-time coordinate system for the multi-source data, and generating fusion data; and S3, processing synthetic aperture radar interferometry (InSAR) deformation data through a freeze-thaw cycle noise compensation model, and eliminating deformation noise caused by seasonal frost heaving and thaw collapse. According to the plateau slope disaster identification method, the plateau freeze-thaw compensation model is combined with a multi-modal dynamic decision-making mechanism, and physical mechanism complementation of InSAR and LiDAR is adopted, so that'earth surface deformation-rock mass structure 'two-dimensional verification is realized, and multi-data fusion is realized, and therefore, the automatic identification precision of plateau slope disasters is improved.

The invention relates to the technical field of construction material testing, and provides a tunnel construction material waterproof performance testing device which comprises a freezing and thawing test box, a machine box and a rack, a pressurized water injection system and a sealing slotting mechanism are arranged in the rack side by side, and the pressurized water injection system comprises a jack and a water pressure system; the jack is used for detecting the bearing load strength of the material test block, and the water pressure system is used for pressurizing water and detecting the waterproof performance of the material test block under high load. The tunnel construction material waterproof performance testing device integrates pressure resistance, erosion resistance, freezing resistance and waterproof performance detection tests on construction materials, can simulate the overall state of the construction materials in different tunnel environments to perform waterproof performance tests, so that the construction materials are added according to different tunnel requirements to improve the waterproof performance, and meanwhile, through the arrangement of the sealing slotting mechanism, the waterproof performance of the tunnel construction material is improved. The contact surface of the material test block and the water pressure system can be subjected to sealing waterproof treatment, and water is prevented from overflowing from the contact surface during water seepage detection.

The invention relates to the field of concrete, in particular to C80 concrete in a plateau environment and a preparation method thereof, and the C80 concrete is prepared from the following raw materials in parts by mass: 40-50 parts of cement, 70-75 parts of nano modified machine-made sand, 75-80 parts of gravel, 10-15 parts of coated fly ash, 3-7 parts of silica fume, 5-7 parts of superfine steel fiber, 0.1-0.2 part of modified polypropylene, 3-5 parts of a magnesium expanding agent and the like. Compared with the prior art, through the synergistic effect of nano-modified aggregate interface reinforcement, the temperature change humidity control material, the composite fiber anti-crack network and the low-air-pressure stable admixture, the freeze-thaw resistance, the ultraviolet weather resistance and the low-air-pressure construction adaptability are remarkably improved; the composite material has a wide prospect of replacing imported materials in important projects such as plateau bridges and wind power bases, and has a wide application prospect.

The invention belongs to the technical field of rock mechanical property research, and discloses a rock elastic-plastic damage constitutive model establishment method considering freeze-thaw strength and compaction effect, and the method comprises the following steps: proposing a concept of freeze-thaw strength to comprehensively reflect the freeze-thaw damage degrees of rock at different freeze-thaw temperatures and durations; performing a freeze-thaw test and a triaxial compression test on the rock test piece, recording test data in the triaxial compression test process, drawing a stress-strain curve based on the test data, and constructing a yield function and a hardening rule of the rock test piece based on the strength characteristic parameters of the freeze-thaw rock; establishing a rock elastic-plastic damage constitutive equation considering the freeze-thaw effect and the compaction effect; and determining a parameter expression of the rock elastic-plastic damage constitutive model based on an elastic-plastic theory in combination with freeze-thaw rock triaxial compression test data. According to the technical scheme, the compaction stage and the volume deformation of the frozen-thawed rock can be reflected, and the method has the advantages of being wide in application range and high in prediction precision.

The invention provides a water and soil loss early warning method and device based on climate change, and relates to the technical field of machine learning, and the method comprises the steps: collecting the surface temperature data and freeze-thaw state data of a target region in real time, and determining the freeze-thaw cycle state of a surface active layer based on a set freeze-thaw state criterion; calculating the melt water runoff generation amount of the surface active layer based on the freeze-thaw cycle state, and calculating the comprehensive runoff yield by combining rainfall forecast data; dynamically calculating the unit surface scouring force based on the comprehensive runoff runoff yield, and judging whether the unit surface scouring force reaches an erosion starting state or not based on a soil instability limit shear threshold value under the freezing-thawing interface; and triggering water and soil loss early warning when the superposing effective melt water runoff volume of the earth surface freeze-thaw conversion state reaches a preset percentile and the earth surface unit scouring force exceeds a soil instability limit shear threshold value. According to the invention, early warning can be carried out according to climate change for water and soil loss in alpine regions.

The invention relates to a multi-component composite modified geopolymer material and a preparation method thereof, and aims to solve the problems of high brittleness, easiness in cracking and poor durability of a traditional geopolymer. According to the material, industrial solid wastes (carbonized steel slag, volcanic ash and the like) are used as main matrixes, a macroscopic anti-cracking framework is constructed through red copper fibers, micropores are nanofilled with CVD silicon oxide substrate graphene, and polyamide resin flexibly buffers stress, so that a cross-scale reinforcing system is formed. The preparation method adopts a solid phase premixing-liquid phase excitation-gradient compounding process, and functional components are doped in sections, so that the dispersity and constructability are guaranteed. The technical effects are obvious: the breaking strength is reached, the splitting tensile strength is obviously improved, the mass loss rate is obviously reduced after freezing and thawing for 100 times, and the shrinkage crack self-limit is within 50 [mu] m. The carbon emission of the material is greatly reduced, the high-durability standard is met, and the material is suitable for severe environmental engineering.

The invention discloses a simplified concrete freeze-thaw damage simulation method which comprises the following steps: establishing a concrete mesoscopic model, and obtaining internal temperature field distribution of concrete under the action of freeze-thaw cycle; the concrete internal damage evolution law under the freezing and thawing cycle effect is researched, and the mapping relation between damage dissipated energy and loading time is established; the residual compressive strength of the concrete after different freeze-thaw damages is explored based on restart analysis, and when the error between a strength simulation value and an experimental value is less than 3%, the damage dissipated energy corresponding to the current restart analysis is recorded; and establishing a relationship between damage dissipated energy and freezing and thawing cycle times, obtaining residual compressive strength of the concrete under other freezing and thawing cycle times based on restart analysis, and establishing a concrete freezing and thawing damage evaluation model. Results show that the concrete freeze-thaw damage under the unknown freeze-thaw cycle number can be obtained based on limited freeze-thaw damage test data, manpower and material resource consumption is greatly reduced, and accurate prediction of the concrete freeze-thaw damage is achieved.

The invention provides a sediment concentration prediction method and system based on a freeze-thaw coupling physical constraint model, and relates to the technical field of sediment concentration prediction, and the method comprises the steps: obtaining hydrological data, meteorological data and various original data of soil and vegetation, and carrying out the preprocessing; constructing a benchmark sediment concentration physical model based on the multiple kinds of preprocessed original data, and constructing an input feature vector; inputting the input feature vector into a sediment concentration prediction ANN model, and outputting to obtain the sediment concentration; wherein in the training process of the sediment concentration prediction ANN model, reference sediment prediction and sediment mass conservation constraint of the physical model are introduced into an ANN model loss function, the loss function is enhanced by adopting a freeze-thaw weighting strategy, and the sediment concentration prediction ANN model in which the physical model and the ANN model are deeply fused is obtained. According to the invention, the stability and accuracy of prediction during extreme rainfall, runoff surge or frequent freezing and thawing are improved.

The invention discloses a triaxial acoustic emission test device and method for multi-field coupling rock microbial grouting. The triaxial acoustic emission test device comprises a core triaxial pressure chamber, a freezing and thawing temperature control system, a water pressure control system, an axial loading system, an acoustic emission detection system, a microbial grouting repair device and an assembly data acquisition and control system, the test sample temperature is controlled through the freeze-thaw temperature control system, the pore water pressure is applied through the water pressure control system, the mechanical load is applied through the axial loading system, the damage signal of the test sample is monitored in real time through the acoustic emission system, the test sample is prepared through the microorganism grouting repair device, and the assembly data acquisition and control system performs integrated control and synchronous data acquisition. The test method comprises the following steps: preparing and installing a microbial remediation rock sample, applying freeze-thaw cycle, pore water pressure and axial load in sequence or in a coupling manner, monitoring the whole process by using an acoustic emission technology, and finally comprehensively analyzing a damage evolution rule and a performance degradation mechanism of the sample under the action of multi-field coupling. The device can simulate a complex environment and evaluate the microbial grouting repair effect.

The invention discloses freeze-thaw resistant concrete for roads in cold regions and a preparation method of the freeze-thaw resistant concrete, and relates to the technical field of concrete. The preparation method comprises the following steps: carrying out dry mixing on the Portland cement, the kaolin and the silicon carbide whiskers, then adding the coarse aggregate and the fine aggregate, continuing to stir and mix uniformly to obtain a premix, then adding the water reducer and the water into the premix, and continuing to stir uniformly to obtain the freeze-thaw resistant concrete. A proper amount of silicon carbide whiskers are added into the mixed soil, the mixed soil has high strength, high elastic modulus and excellent chemical stability, and the freeze-thaw cycle resistance of the concrete can be remarkably improved through the effects of bridging micro-cracks, blocking crack propagation paths, improving pore structures and the like.

The present disclosure relates to the field of slope soil protection, and particularly relates to a modified soil ecological base material for ecological slope protection, a preparation method and application thereof; the modified soil ecological base material is used in high-cold high-humidity high-altitude areas; the modified soil ecological base material comprises the following: an anti-skid anti-ultraviolet freeze-thaw resistant layer; and a soil adaptive layer; wherein the anti-skid anti-ultraviolet freeze-thaw resistant layer comprises modified plant fibers and an anti-ultraviolet freeze-thaw resistant composite material; the soil adaptive layer comprises a water-absorbing composite material. The present disclosure prepares a modified soil ecological base material which has good freeze-thaw stability, excellent water erosion resistance and water retention performance, is eco-friendly and degradable, and is used for ecological slope protection in high-cold high-humidity high-altitude areas.

The invention relates to the technical field of building materials, and discloses a composite cured red mud material for a salt freezing coupling environment and a preparation method thereof, and the composite cured red mud material comprises 27-49 parts of red mud, 24-47 parts of steel slag, 8-19 parts of fly ash and 3-15 parts of phosphogypsum. The method comprises the following steps: taking red mud, steel slag, fly ash and ardealite as raw materials, putting the raw materials into a stirrer, and fully mixing; adding water, continuously stirring and uniformly mixing to obtain a mixture; pouring the mixture into a mold and pressing into a cylindrical test piece; demolding and weighing, and after the weight is high, sealing and curing to prepare a sample; and soaking the cured sample in a salt solution to simulate a salt-freezing coupling environment, and then taking out the sample for freezing and thawing treatment.

The invention discloses a method for evaluating rock mass fracture freeze-thaw fracture damage risk based on surface temperature, which comprises the following steps: S1, carrying out data acquisition on a target area based on a multi-source sensor carried by an unmanned aerial vehicle platform, and obtaining fracture geometric parameters, daily surface minimum temperature, daily surface maximum temperature, daily temperature difference and fracture moisture conditions; s2, on the basis of the geometric parameters of the crack, constructing a crack frost heaving force analytical model; obtaining a quantitative relation between the stress intensity factor and the environment temperature; s3, the I-type fracture toughness of the target rock mass is measured, and the critical crack initiation temperature of the rock mass is determined; determining the number of critical freezing and thawing cycles; s4, on the basis of the daily earth surface minimum temperature, the daily temperature difference, the fracture moisture condition and the critical crack initiation temperature, the annual accumulated effective freezing and thawing cycle number is obtained; and calculating a freeze-thaw damage ratio, and carrying out risk quantification and grading. According to the invention, the problem of inaccurate evaluation caused by limitation to local monitoring and lack of an environment factor and material parameter integrated evaluation framework in the prior art is solved.

The invention relates to the technical field of building construction, in particular to a digital twinning-based building foundation construction method, which comprises the following steps of: constructing a digital twinning body based on a BIM (Building Information Modeling) technology; during the foundation pit overwintering period, the stress and the soil body temperature of the supporting structure are collected at the preset detection frequency and synchronized to the digital twinborn body; the freeze-thaw damage characterization value of the supporting structure is calculated according to the hysteretic loop area surrounded by the stress-temperature curve within the preset temperature period, and the construction risk level of the deep foundation pit is determined according to the freeze-thaw damage characterization value; when the three types of construction risk levels are judged, the displacement of the supporting structure at the key depth is collected, a deformation recovery characterization value is obtained, an adjustment strategy when the standard is not reached is determined according to the deformation recovery characterization value, the adjustment strategy is fed back to a physical construction site to be executed, and the data and the disposal result are recorded in a case library; and optimizing the digital twinning model. The intelligent level of building foundation construction is improved.

The invention discloses a rock stratum drilling in-situ identification method based on physical information machine learning and an application thereof, which are used for solving the technical problem of in-situ sensing of unknown rock mass properties in a drilling process. Multi-source signal parameters including drilling pressure, drilling rod torque, drilling rod rotating speed, drilling speed and drilling vibration and acoustic emission signals are collected in the drilling process, CEEMDAN-VMD combined denoising and feature extraction are carried out, and fused feature vectors are input into a physical information machine learning model; and outputting the strength prediction value of the drilled rock stratum and the prediction value of the rock mass category on line in real time. The method is applied to innovative combination of freeze-thaw environment simulation, rock drilling process test and lithology intelligent identification, an advanced means is provided for drillability evaluation of freeze-thaw rock mass, data support can be provided for blasting parameter intelligent design and slope stability early warning, and the method has good engineering applicability and popularization value.

The invention discloses a cold region coating concrete critical freeze-thaw frequency estimation and service life prediction method and system, and the method comprises the steps: firstly obtaining a plurality of groups of indoor rapid freeze-thaw test data to construct a sample data set; and constructing a damage model for representing the relationship between the freezing and thawing cycle times and the freezing and thawing damage degree of the coating concrete. And then on the basis of the constructed sample data set, an optimization algorithm is adopted to search for a global optimal model parameter combination capable of enabling an output result of the damage model to be optimal, an optimal damage model is constructed on the basis of the searched global optimal model parameter combination, and a quantitative relation between the damage degree and the freezing and thawing cycle number is established. And finally, according to a damage degree threshold value specified by the coating concrete to be estimated, performing inversion calculation through the optimal damage model, accurately estimating the indoor critical freeze-thaw times required by attenuation of the coating concrete to the damage degree threshold value, and providing a basis for subsequent accurate prediction of the service life of the coating concrete.

The invention provides a mountain freeze-thaw desertification early warning method and related equipment. The method comprises the following steps: acquiring thermal neutron intensity and epithermal neutron intensity of a target area; based on a target intensity ratio and a pre-obtained empirical fitting parameter set, target parameters are determined, and the target intensity ratio is the ratio of the thermal neutron intensity to the epithermal neutron intensity of the target area; determining a target moisture content according to the target parameter and the thermal neutron intensity or epithermal neutron intensity of the target area; and when the target moisture content is lower than a preset critical soil moisture threshold value, carrying out mountain freeze-thaw desertification early warning. Soil moisture is inverted through a cosmic ray neutron detection technology, environmental interference factors such as a non-soil water hydrogen source are corrected, local soil moisture of different vegetation types and soil types is accurately captured, freeze-thaw desertification is judged in combination with a critical soil moisture threshold, and early warning is given.

The invention relates to preparation of stabilized soil, in particular to a freeze-thaw-resistant stabilized soil vegetation slope protection material and a preparation method thereof.The freeze-thaw-resistant stabilized soil vegetation slope protection material is prepared from, by mass, 100 parts of vegetation soil, 10 parts of cement, 8 parts of organic matter, 5 parts of greening additive and freeze-thaw-resistant additive, the freeze-thaw-resistant additive comprises polyacrylonitrile fibers, and the doping amount of the freeze-thaw-resistant additive is 0.25%-0.75% of the mass of the vegetation soil; the doping amount of the polyacrylonitrile fiber is 0.25%-0.75% of the mass of the plant-growing soil, the doping amount of the plastic steel fiber is 0.25%-0.75% of the mass of the plant-growing soil, the doping amount of the silicon powder is 1%-5% of the mass of the plant-growing soil, and the doping amount of the surfactant is 0.1%-0.3% of the mass of the plant-growing soil. The system can effectively inhibit crack initiation and expansion caused by freeze-thaw cycle. The strength loss rate after freezing and thawing is greatly reduced, and the freezing and thawing resistance is remarkably improved.

The invention discloses styrene-butadiene latex with high freeze-thaw stability and a preparation method thereof, and relates to the technical field of styrene-butadiene latex. The styrene-butadiene latex is prepared from the following raw materials in parts by weight: 20 to 40 parts of styrene, 60 to 80 parts of butadiene, 10 to 15 parts of glycerol ester of rosin, 1 to 5 parts of compound emulsifier, 1 to 3 parts of hydrophilic functional monomer, 0.5 to 1 part of electrolyte, 2 to 5 parts of thickening agent, 0.6 to 1.5 parts of initiator and 150 to 200 parts of deionized water. According to the preparation method disclosed by the invention, interface damage, particle coalescence and ice crystal growth in a repeated freezing and thawing process are resisted through triple synergy of interface strengthening of rosin glyceride, colloid stability of the compound emulsifier and network construction of monomers, so that exponential improvement of the stability is realized, and a theoretical basis is provided for design of a high-performance latex material.