103 results about "Dry density" patented technology

The invention belongs to the technical field of civil engineering roadbed compaction, and particularly discloses a multi-stage and multi-target vibration parameter optimization method for a coarse-grained soil compaction process, and the method comprises the following steps: S1, obtaining multi-working-condition dynamic response data, and constructing a training set, a verification set and a test set after standardization processing; s2, establishing a dry density dynamic evolution model based on the BO-FCNN, and analyzing key parameters influencing compaction deformation in combination with an SHAP value; s3, multi-stage and multi-target vibration parameter optimization is completed, specifically, S3.1, multi-stage division and dynamic constraint transfer are carried out; s3.2, constructing a multi-objective function; s3.3, adopting MC-NSGA-II to generate a Pareto frontier solution set; and S3.4, outputting an optimal vibration parameter combination based on the weight decision. According to the method, closed-loop optimization from data modeling to parameter decision making is achieved, the optimization strategy is dynamically adjusted according to actual engineering requirements, and the construction efficiency is improved to the maximum extent.

The invention discloses a loess collapsibility evaluation method and system based on a geophysical prospecting test technology, and relates to the field of land exploration, and the method comprises the steps: laying regular detection grids in a to-be-evaluated loess site, and constructing a site geographic coordinate system; collecting Rayleigh wave signals in real time, inverting a transverse wave velocity profile, and collecting apparent resistivity data; a shallow soil sample is drilled, soil property parameters are measured, and a model is constructed according to the mapping relation between the field geophysical prospecting parameters and the soil property parameters; inputting the acquired data into the wave velocity-water content correlation model and the resistivity-dry density correlation model to generate a water content distribution field and a dry density distribution field; and calculating the collapsibility of loess in each detection grid based on a geophysical prospecting response equation of the collapsibility coefficient, outputting a collapsibility coefficient contour cloud picture, and judging the collapsibility grade of each grid and the distribution range of collapsed loess. The method has the advantages that the collapsibility distribution field and the contour cloud picture are generated through accurate non-intrusive data acquisition and model analysis, and a scientific basis is provided for engineering construction.

The invention discloses experimental equipment and method for determining the interface adhesion strength of soil and a shield cutter head under the action of seepage, the experimental equipment comprises a soil sample negative pressure seepage device and an adhesion strength measuring device, the soil sample negative pressure seepage device comprises a support and a permeator, the support is provided with a holder and a water supply system, and the permeator is clamped on the holder. The research blank that the influence of underground water seepage on the adhesion strength is not considered in existing shield adhesion research is filled, and meanwhile the problems that existing adhesion research experiment equipment is expensive, and the operation process is complex are solved. According to the invention, the adhesion strength between different types of viscous soil and the surface of the metal flat plate can be measured under different loading pressures under the seepage action of different properties of underground water, different seepage negative pressures, different time and other conditions under different dry densities; and a basis is provided for adhesion evaluation during shield tunneling in soil under the action of underground water seepage under different conditions in actual engineering.

The invention discloses a subgrade soil dry density hyperspectral nondestructive testing method based on a soil compactness coefficient. The method comprises the following steps: a1, uniformly distributing physical and chemical parameters of engineering foundation soil in a space; b2, a remote sensing product used for monitoring the water content of engineering foundation soil is obtained and generated through the four-rotor unmanned aerial vehicle; c3, building model parameters in combination with indoor experiments; d4, the engineering foundation is compacted, and the soil dry density of the engineering foundation is actually measured through a sand filling method and verified; e5, a remote sensing product used for monitoring the soil water content after engineering foundation compaction is obtained and generated through the four-rotor unmanned aerial vehicle; and f6, constructing a soil compactness coefficient image based on the hyperspectral image products generated in the step b2 and the step e5, inputting the image of the corresponding characteristic parameter into the model obtained in the step d4, and estimating the dry density of the roadbed construction soil. According to the method, rapid, lossless and real-time detection of the dry density of the roadbed soil can be realized through an unmanned aerial vehicle-hyperspectral technology, and the defects of a traditional soil dry density determination method are effectively overcome.

The invention discloses a two-parameter identification method for soil moisture content and dry density, which comprises the following steps: S1, based on data of samples with different dry densities and moisture content, adopting a temperature tracing method of a cooling mode to obtain a cooling time history curve of a heat source in the samples with different dry densities and moisture content; s2, carrying out segmented averaging on the temperature time history data of a certain time period, namely carrying out a plurality of isochronous segments on the time period, and then carrying out averaging processing on the temperature of each time period to obtain segmented average temperature time history data of the time period; and S3, taking the segmented average temperature time history data in the S2 as a neural network input sample, taking the known soil dry density and moisture content as network output, and obtaining a soil dry density and moisture content two-parameter identification model. According to the method, the problem of how to identify the moisture content and dry density parameters of the soil body at the same time when the moisture content and dry density of the soil body are not determined is solved, and the problem of unstable heating of a heating mode is avoided.

The invention relates to a building solid waste reclaimed material roadbed filler and a construction method. The building solid waste reclaimed material roadbed filler comprises the following raw materials in percentage by mass: 23.3% of concrete blocks, 30.8% of bricks, 13.0% of dry hard mortar blocks, 5.2% of soil blocks and 27.7% of solid waste particles. According to the construction method, building solid waste is used for preparing the solid waste reclaimed material roadbed filler with good dry density, bearing capacity and compaction performance, the construction method suitable for the roadbed filler is provided, resource utilization of the building solid waste can be achieved, building materials are saved, and meanwhile the negative influence of solid waste treatment on the environment is reduced.

The invention discloses a rectangular pipe gallery layered backfill soil monitoring method and monitoring system, and belongs to the technical field of municipal infrastructure construction monitoring. Comprising the following steps: delimiting a monitoring section for layered backfilling according to a pipe gallery structure; before backfilling of each layer, a sensor array is arranged along the cross section and the longitudinal section of the pipe gallery according to a gridding rule; collecting reference parameters of the undisturbed soil and the first layer of backfill soil, and performing precision verification; after each layer of backfill is completed, actual measurement parameters of backfill soil of the layer are collected in real time and compared with the collected reference data, and after precision verification is carried out, the actual measurement parameters are uploaded to the central processing unit; on the basis of reference data uploaded in real time, the compaction degree evolution model and the local settlement prediction model are input after preprocessing, layered quality scores are generated and associated with a grade table, and construction suggestions are output. According to the method, double dynamic analysis of the compaction degree evolution model and the local settlement prediction model is combined, and full-process real-time monitoring of the dry density, the settlement amount and the load stress in the layered backfilling process is achieved.

The invention discloses a compaction degree measuring and calculating method based on multi-physics field joint inversion. The method comprises the following steps: acquiring multi-physics field observation data and rock-soil compaction characteristic parameters of a to-be-detected area; establishing a mapping relationship between the moisture content and the observation data and between the dry density and the observation data by using a pre-established forward model; executing joint inversion iteration, and updating the state variable based on the observation residual error; in the iteration process, a physical feasible region is constructed by utilizing rock-soil compaction characteristics, and the physical feasible region is embedded into the inversion process as a constraint condition to constrain the value ranges of the dry density and the water content; and in response to the condition that the joint inversion iteration process meets a preset convergence condition, outputting the dry density after inversion convergence and calculating the compaction degree. According to the method, the problems that a traditional inversion solution violates the soil engineering compaction rule and cannot adapt to compaction under variable work conditions are solved, and the physical authenticity and precision of compaction quality detection are improved.

The utility model discloses a geotechnical density detection device which comprises a base plate and a base hole in the center of the base plate, the upper portion of the base plate is provided with a positioning frame used for calibrating that a sand filling cylinder and the base hole are coaxial, the positioning frame comprises supporting ruler rods symmetrically supported on the upper portion of the base plate, and a pair of V-shaped frames used for limiting the sand filling cylinder is arranged between the two supporting ruler rods. According to the utility model, the upper part of the base plate is provided with the sand filling cylinders capable of adjusting the spacing according to different diameters, so that the sand filling cylinders and the base holes of the base plate can be coaxial, the inaccuracy of sand filling caused by position deviation of uniform sand in the sand filling cylinders is avoided, and the accuracy of dry density measurement is ensured.

The invention discloses a vibration-free foundation construction method for collapsible loess. The construction method provided by the invention comprises the following steps: dividing a construction area into grids, taking the intersection points of the grids as compaction points, detecting the initial dry density of the compaction points, drawing a density distribution thermodynamic diagram according to the initial dry density, and setting the initial pressure of compaction treatment on each compaction point according to the density distribution thermodynamic diagram; according to the initial pressure, compaction treatment is carried out at the compaction point, and gradient pressurization is carried out in the compaction treatment process until the preset depth is reached; regulating the water content to 18-22% according to the water content of the loess in the construction area; and the compaction point and the soil body compactness around the compaction point and the vibration acceleration of buildings around the construction area are monitored in real time, and when the soil body compactness change rate is smaller than 1% and the vibration acceleration is smaller than 0.1 g in at least three continuous detection periods, foundation treatment reaches the standard.

An embodiment of the present invention provides a method and related equipment for predicting soil permeability coefficient, which can reduce the testing time of the dry density soil permeability coefficient and improve the calculation efficiency of the soil permeability coefficient. The method includes: determining the standard pore permeability coefficient of the target dry density soil; determining first pore size distribution information corresponding to the target dry density soil and second pore size distribution information corresponding to the dry density soil to be measured, wherein the dry density soil to be measured and the target dry density soil have different dry densities; determining the pore permeability coefficient to be measured corresponding to the dry density soil to be measured based on a pre-constructed capillary permeability model, the first pore size distribution information, the second pore size distribution information, and the standard pore permeability coefficient; and determining the soil permeability coefficient corresponding to the dry density soil to be measured based on the pore permeability coefficient to be measured.

To provide an ejecta suppression and ground subsidence suppression system of liquefaction ground which confirms that a crushed shell drain composed of a crushed shell suppresses reduction in drainage performance accompanied by mixing of sand compared to a gravel drain, and is effective as a liquefaction countermeasure drain, and in which since the crushed shell is small in dry density and is extremely lightweight compared to a crushed stone, the dead weight in a ground improvement area is small, and the system has an effect for further reducing a ground subsidence amount after liquefaction.SOLUTION: An ejecta suppression and ground subsidence suppression system, ejecta being from an improvement ground surface by earthquake time liquefaction in an improved ground where a crushed shell drain is laid, includes: selecting a crushed shell having such a coefficient of permeability that a seepage pressure by an excess pore water pressure difference of the crushed shell drain laid on the ground is not higher than an effective placement pressure of the crushed shell drain, after liquefaction; laying the crushed shell drain formed of the selected crushed shell; and improving the ground.SELECTED DRAWING: Figure 1

The invention relates to an autoclaved aerated concrete block based on an all-solid waste material and a preparation method thereof, and relates to the technical field of building material processing. Comprising the following components in parts by weight: 25-30 parts of an all-solid waste cementing material, 60-70 parts of construction waste micro powder, 0.05-0.1 part of aluminum powder, 0.02-0.06 part of a foam stabilizer and 60-70 parts of water, the all-solid waste cementing material is prepared from slag, fly ash, steel slag, desulfurized gypsum and red mud according to a mass ratio of (40-60): (20-35): (10-20): (5-15): (5-10); the construction waste micro powder is prepared from recycled concrete micro powder and brick powder according to a mass ratio of (60-70): (30-40). The dry density and compressive strength of the product prepared by the method can stably reach B07 and A5.0 grade standards, and the cost is lower.

The utility model relates to engineering detection technical field, discloses a kind of quick detection device of dry density specifically, to solve the problems such as traditional detection method operation cumbersome, low efficiency, existing radiation risk. Device core includes standard container, weighing sensor, signal conditioning circuit, single-chip microcontroller, hardware proportioning calculator, stable judging module, display screen and ventilation / heating module. Through RFID, container volume V is automatically read, weighing sensor measures soil sample mass m, proportioning calculator calculates dry density ρ=m / V in real time, and the result is output through display screen;Ventilation / heating module accelerates moisture evaporation, shortens detection time. The device has the advantages of real-time display, simple operation, avoids artificial error, no radiation risk, and is suitable for fine-grained soil, coarse-grained soil and frozen soil detection dry density requirements, etc., and is suitable for water conservancy engineering, such as earth dam filling and embankment engineering, building engineering and other fields of soil compaction quality rapid detection.

The invention relates to the technical field of tree management, and discloses an ancient and famous tree dynamic early warning and intervention decision-making system based on a health diagnosis model, and the system comprises the steps: collecting physical and chemical parameters of a target tree according to a preset position at a fixed time interval; constructing a health diagnosis model: performing cycle fitting processing on the temperature parameters of the daily time sequence to obtain fitting data; respectively determining a phase lag time, a thermal diffusivity and an amplitude ratio based on the fitting data; determining the heat variation of the soil, determining the corrected surface heat flux by combining the heat flux parameters, and extracting the peak value of the daily corrected surface heat flux; performing combined judgment processing on the volumetric water content, the dry density, the phase lag time, the thermal diffusivity and the amplitude ratio to judge whether the target tree is in a false water shortage state or not; in response to the false water shortage state of the target tree, determining the risk level of the target tree according to the peak value of the corrected surface heat flux; and generating an intervention decision scheme based on the risk level of the target tree.

The invention discloses an internal tamping carrier pile backfill soil quality monitoring system and method, and belongs to the technical field of soil mass quality monitoring, the system comprises a monitoring assembly which comprises a plurality of sensor assemblies and is used for collecting pressure data and actually measured moisture content of backfill soil at different depths of an internal tamping carrier pile in the tamping process; the data transmission module is used for amplifying the data acquired by the sensor assembly and transmitting the data to the data processing unit; the data processing unit is used for converting the pressure data into equivalent additional stress and converting the equivalent additional stress into a void ratio; calculating the dry density of the backfill based on the void ratio and the actually measured water content; and finally, calculating the compaction coefficient of the backfill soil by adopting the dry density and the maximum dry density of the tamping foundation experiment. And the evaluation and decision-making unit is used for receiving the compaction coefficient calculated by the data processing unit, determining whether the compacted backfill soil on the layer where the sensor assembly is located is qualified or not according to the compaction coefficient, and giving a construction suggestion when the backfill soil is unqualified.

The utility model provides a leveling device for testing the minimum dry density of sand, which belongs to the technical field of geotechnical test devices and comprises a measuring cylinder, a support arranged at an opening in the upper part of the measuring cylinder, a bracket arranged at the upper part of the support, a connecting rod vertically arranged at the center of the bracket, and annular racks uniformly arranged on the surface of the connecting rod at intervals, gears located on the two sides of the connecting rod are fixedly arranged in the support, the annular rack of the connecting rod is meshed with the gears, and one gear is connected with one end of a support crank. The sand surface leveling device can solve the problem that an existing sand surface leveling device is low in precision.

The invention discloses a calibration-free soil dry density in-situ measurement method, and belongs to the technical field of soil physical property detection in geotechnical engineering and agricultural engineering. The method comprises the following steps: firstly, acquiring a volume dielectric constant epsilon and an environment temperature of soil in situ, and acquiring a mass water content omega of the soil in situ; secondly, determining physical parameters of the soil, wherein the physical parameters comprise a soil particle dielectric constant, a soil particle relative density and a water dielectric constant determined according to the temperature T; and finally, substituting the volume dielectric constant, the mass water content omega and the physical parameters of the soil into a calculation model constructed on the basis of a soil solid-liquid-gas three-phase mixed medium theory, and solving to obtain the dry density of the soil. According to the method, a calculation model is constructed based on physical characteristics of a soil solid-liquid-gas three-phase mixed medium, parameters which can be directly measured are obtained in situ, and the dry density is directly solved after the parameters are substituted into the model, so that tedious steps of field calibration in a traditional method are avoided, and in-situ, rapid and calibration-free measurement of the dry density of the soil is realized.

The present invention relates to a method for detecting the compaction degree of soil based on the response surface method. First, indoor calibration tests are carried out on the in-situ tested soil to establish a second-order response surface model of the dielectric constant, conductivity, and maximum penetration resistance of the soil varying with the mass moisture content and dry density. Secondly, the correlation between the conductivity and dielectric constant of the soil is studied, a correction model of the soil conductivity is established and the conductivity correction value is calculated. Then, the measured dielectric constant, measured maximum penetration resistance, and conductivity correction value are substituted into the second-order response surface model to establish an objective function with the minimum root mean square error of the measured value and the calculated value. Finally, the particle swarm optimization algorithm is used for inversion to obtain the mass moisture content and dry density of the soil, and the compaction degree of the soil is calculated. The testing method of the present invention can quickly and accurately detect the compaction degree of the soil after field rolling, measure the mass moisture content and dry density of the soil, and is applicable to different engineering filled soils.

The present invention discloses a ratio design and preparation method of an alkaline residue low-temperature modifier for road lime soil, which replaces part of the lime component in the lime soil with alkaline residue to improve the low-temperature performance of the lime soil; during the ratio design, compaction tests are carried out according to the designed mix ratios of the test groups to determine the optimum moisture content and dry density of each test group, calculate the masses of alkaline residue, lime, soil and water in the specimen materials, and prepare unconfined compressive strength specimens for curing. Based on the test results of the low-temperature performance before and after the freeze-thaw cycle of the specimens, the optimum dosage of alkaline residue and the mix ratio of alkaline residue lime soil are optimized. The preparation method of the alkaline residue low-temperature modifier is as follows: material preparation and spreading - high-temperature drying, turning, rolling and crushing of the alkaline residue - determination of the moisture content of the alkaline residue - sieving and crushing - dosing and bagging according to the grid method - mixing the alkaline residue lime soil in proportion and then paving and rolling. The present invention uses alkaline residue as a low-temperature modifier for lime soil, resourcefully regenerates and utilizes the solid waste alkaline residue, solves the environmental pollution and surface occupation caused by the conventional ground discharge and accumulation of alkaline residue, improves the low-temperature performance of the lime soil material, and reduces the cost of road materials.

The invention relates to the technical field of civil engineering detection, and discloses a dry density-based fine-grained soil compression modulus rapid determination method, which comprises the following steps: carrying out sample preparation and standardization on target fine-grained soil according to fixed dry soil mass and a unified initial height value; executing a limit compression test on the sample, and collecting a load-displacement data sequence until the curve slope is sharply increased and is close to be vertical; processing the load-displacement data sequence, and constructing a dry density-compression modulus reference relation model of the target fine-grained soil; measuring the on-site dry density of the on-site to-be-measured compacted soil body which is the same as the target fine-grained soil; and substituting the field dry density into the reference relation model, and calculating and determining the field compression modulus. According to the method, the dry density-compression modulus reference model of the soil is provided through a one-way extreme compaction experiment and digital model construction, and rapid and accurate measurement of the compression modulus is realized.

The invention discloses a special fly ash building block for a sand barrier and a manufacturing method and application of the special fly ash building block, and belongs to the technical field of sand control and stabilization, the formula of the fly ash building block comprises a dry material and a foaming agent, the dry material comprises the following components in percentage by weight: 5-11% of cement; 6%-14% of lime; 71%-76% of fly ash; 3%-7% of desulfurized gypsum; the foaming agent accounts for 0.05%-0.07% of the total weight of the dry materials; the manufacturing method comprises the following steps: step 1, mixing materials, adding water, and stirring to form slurry; step 2, adding the suspension liquid into the slurry and rapidly stirring; step 3, pouring and aerating; step 4, standing and pre-curing; step 5, cutting and forming; step 6, autoclaved curing; the resource utilization rate of the fly ash and the desulfurized gypsum in the industrial solid waste is greatly improved, the production and manufacturing cost of the building block is reduced, the building block is small in dry density and light in weight, the transportation cost is reduced, the manual laying difficulty of sand barriers is reduced, and the desertification control working efficiency is improved.

The invention provides an MICP-based sandy soil reinforcement stability evaluation method, device, equipment and medium, and relates to the technical field of soil reinforcement, and the method comprises the following steps: respectively adding an ammonium standard solution into sodium modified zeolite and alkalization modified fly ash to determine the ammonia nitrogen removal rate, and screening candidate mass ratios; on the basis of the candidate mass ratio, the sodium modified zeolite and the alkalized modified fly ash are doped into the standard sand columns correspondingly, the bacterial liquid and the cementing liquid are injected for an MICP reaction, and a solidified sand column is obtained; the dry density and the calcium carbonate generation amount of the multiple solidified sand columns are measured, an unconfined compressive strength experiment is conducted, and an unconfined compressive strength value is obtained; the distribution form of calcium carbonate crystals is observed through a scanning electron microscope for the multiple solidified sand columns, and gelling substances are analyzed through X-ray diffraction; and judging an unconfined compressive strength value based on a microscopic analysis result, and when the unconfined compressive strength value meets a sandy soil solidification threshold value, outputting a solidification grade and a sandy soil strength value to finish stability evaluation. The problem that sandy soil reinforcement is not stable is solved.

This invention relates to the field of machine learning technology, specifically to a method for calculating soil water distribution based on function fitting and mathematical integration. The method includes the following steps: discrete data is generated by collecting voltage and three-dimensional coordinates; a soil state function is fitted via regression; the radial dry density is analyzed and the dominant direction is selected; a directional integral sequence is generated based on normal distance attenuation; the density difference between adjacent coordinates is calculated and connected point sets are extracted to generate structural weights; the soil state, water demand, and weight integration are coupled to obtain the water distribution calculation result; and optimized scheduling sequences are generated by smoothing out boundary regions. In this invention, discrete states are formed by splicing sensor electrical signals and three-dimensional coordinates; the soil state function is fitted via spatial regression; directional attenuation and density connectivity extraction characterize the extension trend and structural weights; and Gaussian integration couples soil state and water demand information. The water distribution result is more suitable for non-uniform distributions, smooths out boundary regions, and improves the targeting of spraying scheduling.

The utility model provides a rapid measuring device for the dry density of a roadbed. The rapid measuring device comprises a soil sampler, a soil squeezing pipe and a bottom plate, the soil sampler is detachably mounted on the bottom plate through a connecting piece; the soil sampler is in a hollow circular truncated cone shape so as to rapidly drill into soil, and the power equipment is connected with the soil sampler and transmits power to the soil sampling pipe to enable the soil sampling pipe to rotate and drill into the soil; the soil squeezing pipe is inserted into the hollow circular truncated cone of the soil sampler, the heating device heats the interior of the soil squeezing pipe to evaporate moisture of a soil body, and the dry density of the soil body is determined by measuring the mass change of the whole system. The utility model provides efficient and accurate soil body dry density measuring equipment.

The invention discloses a dam rockfill material compaction quality prediction method based on THO-XGBoost, and the method comprises the steps: obtaining input parameters and output parameters of a dam rockfill material compaction process, the input parameters at least comprise a material source characteristic parameter and a rolling characteristic parameter, and the output parameter is rolling dry density; converting the material source characteristic parameters, the rolling characteristic parameters and the rolling dry density into a unified space-time reference coordinate system by utilizing multi-source heterogeneous information integration and space-time association, realizing space-time registration of input and output data, and generating a compaction quality data set; and constructing an XGBoost integrated learning model based on the compaction quality data set, performing global optimization on hyper-parameters of the XGBoost model by adopting a Heman optimization algorithm introducing Tent chaotic mapping, establishing a compaction quality prediction model based on THO-XGBoost, and realizing high-precision prediction of the compaction quality. According to the method, the precision and stability of rockfill material compaction quality prediction are effectively improved, the dependence on detection of a large number of test pits is reduced, and a basis is provided for construction quality control and process optimization.

The invention discloses a river basin sediment production estimation method based on a dynamic evolution process of a river-blocking barrier lake, and the method comprises the steps: carrying out the comparative analysis of key physicochemical characteristic parameters through an identification event layer in a residual barrier lake deposition sequence, and constructing a disaster chain extreme surface process river basin sediment production estimation method. Water level changes, hydrodynamic conditions and material source changes of the barrier lake are comprehensively analyzed, different sand production stages from the stable period, the decline period and the extinction period of the barrier lake are divided, the sediment change history from lacustrine facies suspended load to flood plain bed load is analyzed, and a complete barrier lake formation-evolution full life cycle evolution process mode is constructed. A layered triangular irregular network model is constructed to obtain layered accumulated sediment volume data, the layered volume and mass are calculated based on a dry density field of sedimentary stratification and spatial interpolation so as to calculate the total sediment yield, a physical information neural network model inverts a sedimentary thickness field, sediment yield estimation is achieved, and the non-stationary dynamic evolution characteristics of water and sediment of the barrier lake are quantified.

The application discloses a compaction degree measuring and calculating method based on multi-physical field joint inversion, comprising the following steps: obtaining multi-physical field observation data and geotechnical compaction characteristic parameters of a region to be detected; using a pre-constructed forward model to establish a mapping relationship between water content, dry density and observation data; performing joint inversion iteration, updating state variables based on observation residuals; in the iteration process, using geotechnological compaction characteristics to construct a physically feasible region, and embedding it as a constraint condition into the inversion process to constrain the value range of dry density and water content; in response to the joint inversion iteration process meeting a preset convergence condition, outputting the dry density after inversion convergence and calculating the compaction degree. The application solves the problems that the traditional inversion solution violates the soil compaction rule and cannot adapt to variable power compaction, and improves the physical authenticity and accuracy of compaction quality detection.

This invention discloses a method and system for calculating soil erodibility factors based on disintegration characteristics, comprising the following steps: acquiring several test samples with different dry densities, measuring the disintegration time of different samples, and calculating the disintegration rate of different samples based on the sample disintegration time; measuring the soil loss of several test samples with different dry densities, and calculating the soil erodibility factor of each sample based on the soil loss; and constructing a functional relationship between the erodibility factor and the disintegration rate based on the disintegration rate and soil erodibility factor of different samples. The method disclosed in this invention does not require long-term observation, requires minimal preliminary testing, has a low workload, and is time-efficient, thus accelerating data acquisition. It provides a scientific and convenient new technology and method for soil erosion research, soil loss calculation, and soil and water conservation.

An in-situ evaluation method and system for loess collapsibility based on non-destructive time-domain reflection technology, includes: calculating loess dry density and mass water content; considering loess dry density, mass water content and basic physical property indicators, and evaluating loess collapsibility in situ through mathematical models. The loess collapsibility in-situ evaluation method based on the non-destructive time domain reflectometry technology of the present invention can not only realize whether the loess has collapsibility, but also has the potential to distinguish strong, medium and slight collapsibility.