45 results about "Void ratio" patented technology

The invention relates to a method for calculating an unsaturated permeability coefficient based on a soil-water characteristic curve, which comprises the following steps: establishing a soil-water characteristic curve model, setting a pore space in soil as a capillary bundle with non-uniform size by the model, the curve model comprising a Ropin-Rammer particle size distribution model and a void ratio; an unsaturated permeability coefficient model is established, the total permeability coefficient comprises capillary and non-capillary permeability coefficients, the capillary permeability coefficient is determined through an absolute saturation tortuosity constant, and the change of the non-capillary relative permeability coefficient is represented by a continuous differentiable empirical equation; according to the curve model and the unsaturated permeability coefficient model, determining a plurality of unsaturated permeability coefficient combination models, fitting each combination model to obtain a corresponding soil-water characteristic curve, and fitting each combination model into a calibration data set to obtain an optimal absolute saturation tortuosity constant value for evaluating the performance of different combination models; and determining an optimal unsaturated permeability coefficient model according to an evaluation result.

The application belongs to the technical field of concrete, and discloses a coarse aggregate three-level grading close-packed void ratio prediction model for concrete and application of the model. The model is constructed according to the following steps: a database of shape feature parameters and close-packed void ratios of coarse aggregate single grading and three-level grading is established, a prediction model of the close-packed void ratio of coarse aggregate three-level grading about the coarse aggregate mixing ratio is established under the influence of shape features, edge wall effect and grading, and then a prediction model of the close-packed void ratio about the coarse aggregate mixing ratio is obtained based on the principle that the mixed stacking of multi-level grading coarse aggregate leads to the decrease of the close-packed void ratio. In application, the close-packed void ratio of coarse aggregate three-level grading can be predicted according to the mixing ratio of the coarse aggregate for concrete. The prediction model and the application can be used to quickly determine the optimal solution of the coarse aggregate ratio in different concrete parts in engineering practice, have high precision, and are convenient to use.

The invention relates to the technical field of tunnel construction, in particular to a self-adaptive spray-mixing reinforcement method and system for balance of a TBM excavation face. The spray-mixing reinforcement method comprises the following steps: collecting tunneling data in real time, and calculating a stability evaluation index by fusing a weight coefficient and a dynamic update threshold according to the tunneling data; when the stability evaluation index exceeds a preset threshold value, tunneling is suspended, and spraying and mixing operation is started; the method comprises the following steps: acquiring tunnel face images before and after spraying, performing alignment processing, generating a differential mask, calculating coverage rate, roughness and voidage based on the differential mask so as to comprehensively evaluate spraying and mixing quality, and executing supplementary spraying or tunneling recovery operation according to an evaluation result. Through real-time detection and intelligent evaluation of the surrounding rock state, the time, position and dosage of spraying and mixing operation are automatically controlled, spraying and mixing quality evaluation is carried out after spraying and mixing are completed, accurate and efficient reinforcement is achieved, and construction safety and efficiency are improved.

This invention provides a method for predicting the degree of consolidation and settlement of soil using a horizontal drainage board combined with vacuum preloading. By acquiring the basic parameters of the target soil, the design parameters of the target project, and the vacuum front height, the average pore pressure is calculated based on the consolidation coefficient, water unit weight, initial hydraulic gradient, vacuum load magnitude, maximum drainage distance, and vacuum front height. The average degree of consolidation of the target soil is then calculated by combining the average pore pressure and the vacuum load magnitude. Finally, the settlement of the target soil is calculated by combining the average pore pressure, initial void ratio, compression index, initial effective stress, and maximum drainage distance. This invention can effectively predict the average degree of consolidation and settlement of soil subjected to drainage and consolidation treatment using a horizontal drainage board under vacuum conditions. The prediction results can provide a theoretical basis for the design method of using horizontal drainage boards to treat river silt.

This invention discloses a target design method for foundation soil reinforcement based on post-construction settlement control of shield tunnels, relating to the fields of tunnel engineering and geotechnical engineering. The method includes the following steps: considering the stress level decrease and structural damage of the surrounding strata during shield tunneling, and based on the quantitative evaluation method of soil disturbance during excavation and unloading, combined with the parameter values ​​obtained from the project overview and numerical simulation, the disturbance degree distribution of the tunnel foundation soil is obtained; based on the soil compression parameter weakening method of disturbance degree, combined with the tunnel foundation soil disturbance degree distribution and the initial soil compression parameters, the weakened soil compression parameters are obtained; the weakened soil compression parameters are substituted into the layered summation method, and it is set that the compression index and void ratio of the undisturbed soil and the remolded soil remain unchanged along the depth in the subsequent calculation process, to obtain the depth distribution of post-construction settlement of the tunnel considering shield tunneling disturbance, wherein the depth at the position where the post-construction settlement of the tunnel is 0 mm is the reinforcement depth.

The invention relates to the field of exploration, and particularly discloses a method and device for measuring the permeability coefficient of an in-situ soil body, computer equipment and a readable storage medium, and the method comprises the following steps: obtaining a plurality of soil samples with preset burial depths, and obtaining the initial void ratio of each soil sample; carrying out a consolidation test on the soil samples to obtain the compression amount, the total compression amount and the test value of the consolidation coefficient of the sampling point of each soil sample under a plurality of preset consolidation pressures per minute; based on the initial void ratio, the preset burial depth, the preset consolidation pressure, the compression amount per minute, the total compression amount and the consolidation coefficient test value of the sampling point of each soil sample, a permeability coefficient prediction model is obtained by combining a fitting algorithm; and obtaining the burial depth and the corresponding pressure of the to-be-predicted soil body, and calculating the permeability coefficient of the to-be-predicted soil body based on the permeability coefficient prediction model. According to the method provided by the invention, sampling is carried out in soil layers with different burial depths, so that the real state of the soil body in the in-situ stratum can be restored, and the reliability and accuracy of a prediction result are remarkably improved.

The present invention provides a prediction method and system for the uniaxial compression void ratio of rockfill aggregates considering the influence of wet-dry cycles, including: screening out multiple groups of rockfill aggregates that conform to the particle size distribution characteristics of rockfill; conducting wet-dry cycle tests under different established numbers of wet-dry cycles N; conducting uniaxial compression tests; constructing a prediction model for the uniaxial compression void ratio e of rockfill aggregates considering the influence of the number of wet-dry cycles N; and predicting the uniaxial compression void ratio e of rockfill aggregates that conform to the same particle size distribution characteristics of rockfill aggregates after experiencing different numbers of wet-dry cycles N under different axial stresses σ v . The present invention fully considers the influence of wet-dry cycles caused by the rise and fall of the reservoir water level on the deformation of rockfill, obtains data that is more consistent with the actual void ratio of rockfill, and provides a scientific and effective means for predicting the deformation of actual rockfill dams during operation under the influence of cyclic changes in the reservoir water level.

The invention discloses a method for determining slope stability based on a void ratio and a liquid index. The method comprises the following steps: 1, sampling a slope soil layer; 2, measuring key parameters of soil layer samples and constructing a soil layer sample database; 3, measuring the shear strength of the soil layer sample; 4, determining the stability of the slope corresponding to the soil layer sample by utilizing finite element analysis; 5, verifying the stability of the slope; 6, establishing and training a slope stability prediction model; and 7, determining the actual slope stability based on the void ratio and the liquidity index. The slope stability is evaluated through the moisture content, the void ratio and the liquidity index of the soil, the void ratio directly affects the density and water permeability of the soil, the liquidity index reflects the capability of converting the soil from a plastic state to a flowing state, the slope stability is evaluated more accurately, the safety of slope engineering is further improved, and the slope engineering cost is reduced. Potential geological disaster risks are reduced, and theoretical basis and technical support are provided for practical engineering.

The invention discloses a coarse aggregate void ratio presumption method, which comprises the following steps of: obtaining a plurality of continuously graded coarse aggregates with known void ratios, respectively extracting the grading screen residue of each coarse aggregate, and fitting by using a stepwise regression method by taking the grading screen residue of each coarse aggregate as an independent variable and the corresponding void ratio as a dependent variable to obtain a presumption formula of the void ratio of the coarse aggregates; and presuming the void ratio of the coarse aggregate by using a presumption formula of the void ratio of the coarse aggregate according to the counting screen residue of the continuous grading coarse aggregate to be detected. According to the invention, the test quantity can be reduced, and the test time of the coarse aggregate void ratio is shortened; the void ratio of the coarse aggregate can be presumed in real time according to the counting screen residue data of each grade in the grain composition test of the coarse aggregate on an engineering site, so that the mix proportion of the concrete is conveniently adjusted, and the construction quality of the concrete is guaranteed.

The present invention discloses a method for determining the source of dust accumulation in a coke oven regenerator, comprising the following steps: S1, taking a representative dust accumulation sample from a checker brick, screening the sample, and mixing the undersize material uniformly and reducing it for later use; S2, measuring the void ratio X and bulk density ρ of the undersize material obtained in S1. b Detection, if the void ratio X≤0.2 and ρ b ≥0.7g / cm 3 , it means that the ash accumulation comes from blast furnace gas; if the void ratio X ≥ 0.4 and ρ b <0.7g / cm 3 , indicating that the ash accumulation is coming from the coke oven itself, further testing is required to determine its source, and then proceed to the next step; S3, sulfur content detection. This invention utilizes a simple and rapid testing process and corresponding method to quickly determine the source of ash accumulation in the on-site coke oven regenerator, without the need for additional expensive equipment, providing a reference for subsequent leak location and appropriate repair.

The invention belongs to the technical field of machine-made sand aggregate quality control, and particularly provides a method for improving the quality of steam-curing machine-made sand mortar and application. The method comprises the following steps: measuring the stacking density of machine-made sand in a natural state and a tight loading state, calculating the void ratio of aggregate, and evaluating the compactness; representing the morphology of the machine-made sand particles by adopting a digital image technology, and extracting morphological characteristics of the machine-made sand particles; based on the maximum bulk density theory, grading evaluation parameters are introduced; and considering the influence of the difference of the screening residues on the strength of the cement mortar, supplementing the particle size of the machine-made sand according to an evaluation result, and optimizing the proportion of the components to prepare the mortar. Precise particle size supplementation is carried out through the maximum bulk density theory, a highly dense machine-made sand skeleton structure is constructed, mortar has good working performance, the mortar strength under the steam curing condition is remarkably improved, the problem that the anti-permeability performance is reduced due to harmful holes in steam curing cement mortar is solved, the anti-permeability performance of the mortar is enhanced, and the anti-permeability performance of the mortar is improved. Therefore, the quality of steam-cured mortar is comprehensively improved.

This invention discloses a method, device, and storage medium for calculating the bearing capacity of a coral sand-gravel pile composite foundation. The calculation method includes: determining the initial void ratio, minimum void ratio, unit weight, internal friction angle, crushing energy dissipation coefficient, and internal friction angle of the original coral sand; calculating the lateral ultimate stress of the coral sand by introducing a crushing energy dissipation correction term; calculating the ultimate bearing capacity of a single pile according to the bulging limit equilibrium formula; analyzing the bearing capacity characteristic values ​​of the foundation design load and layout scheme, and adjusting the gravel pile reinforcement parameters or layout scheme; this calculation method quantifies the "particle crushing effect" of coral sand and introduces a crushing energy dissipation correction term to achieve coupled correction of the bulging balance calculation formula; field load tests show that the bearing capacity of the corrected composite foundation is reduced to less than 5%, significantly reducing the calculation error of the traditional formula, and is suitable for rapid evaluation and design optimization of the bearing capacity of coral sand vibratory compaction gravel pile composite foundations.

The invention discloses a detection device with small strain monitoring and a piezoelectric crystal and a testing method of the detection device, and aims to solve the problem that multi-scale real-time observation and accurate monitoring are difficult to carry out in a multi-gas hydrate replacement process in the prior art. The device is used for detecting the replacement efficiency and the micromechanical rigidity of the hydrate in different sediment mineral environments in a reaction kettle, during use, a hydrate replacement experiment is carried out between soil particles or ore sheets, and the change of the resistivity and the rigidity of the hydrate in the replacement process under the micro-micro scale is recorded in detail; the bending element performs real-time monitoring and effective analysis recording on soil body small strain in the replacement process so as to reflect soil body void ratio change, pore pressure change and structural damage of fine-grained soil and characterize important parameters of soil body deformation and dynamic characteristics. Powerful technical support and experimental means are provided for the research on the macro-fine-micro phenomenon of hydrate replacement in different simulated sediment geological environments under laboratory conditions.

The invention discloses a coral sand gravel pile composite foundation bearing capacity calculation method and device and a storage medium. The calculation method comprises the steps that the initial void ratio, the minimum void ratio, the weight, the internal friction angle, the crushing energy consumption coefficient and the stone internal friction angle of original coral sand are measured; a crushing energy consumption correction term is introduced to calculate lateral limit stress of the coral sand; calculating the ultimate bearing capacity of the single pile according to an expansion ultimate balance formula; analyzing a foundation design load and an arrangement scheme bearing capacity characteristic value, and adjusting a gravel pile reinforcement parameter or an arrangement scheme; according to the calculation method, the particle crushing effect of coral sand is quantified, and a crushing energy consumption correction term is introduced to realize coupling correction of a ballooning balance calculation formula; a field load test shows that the bearing capacity of the corrected composite foundation is reduced to be within 5%, the calculation error of a traditional formula is greatly reduced, and the method is suitable for rapid evaluation and design optimization of the bearing capacity of the coral sand vibro-replacement gravel pile composite foundation.

The present invention relates to a rapid prediction method for the particle size distribution curve of calcareous sand under different loading paths, comprising the steps of: obtaining the particle size distribution curves of calcareous sand with the same initial gradation and initial void ratio under different confining pressures under the condition of isotropic compression test; calculating the relative breakage rate under the isotropic compression test; determining the stress-strain relationship of the calcareous sand specimen in the compression test under different loading paths; calculating the total input energy; obtaining the particle size distribution curve; calculating the relative breakage rate under different loading paths; determining the size of the characteristic particle size; plotting the data scatter relationship diagram; obtaining the fitting parameters; and obtaining the rapid prediction equation. The present invention solves the influence of the stress path on the gradation evolution law, so that the particle size distribution model is not affected by the matching degree between the actual particle size distribution and the functional relationship of the assumed particle size distribution curve; and enables the influence of the stress path on the particle size distribution not to be restricted by the initial gradation condition, broadening the application conditions and application scenarios.

The application discloses a skeleton dense type cement stabilized macadam grading design method of mixed fine particle weathered material, relates to the technical field of grading design, and carries out pre-compaction on the fine particle weathered material; the fine particle weathered material after pre-compaction is mixed with each set of aggregate according to the tentative grading curve one; the coarse aggregate vibration density, the fine material tight packing density and the coarse aggregate skeleton gap rate are obtained, and the fine particle weathered material dosage is calculated in combination with the mass fraction relationship of the coarse aggregate, the fine particle weathered material and cement; the grading curve two is generated according to the fine material dosage; the remaining grading curves are obtained by changing the fine material dosage as a benchmark while keeping the internal proportion of the coarse aggregate unchanged; the skeleton dense property of the designed mixture is judged by taking the measured void ratio of the mixture as an evaluation index, and the skeleton dense grading is determined. The application provides the fine particle weathered material dosage expression suitable for the skeleton dense type cement stabilized macadam, the expression optimizes the grading design process, and reduces the grading design test amount.

This application provides a geochemical field reconstruction method and apparatus based on the self-organizing process of mineralization. An improved void space pyramid pooling module is embedded in the target convolutional neural network. This module includes deformable convolutional branches with multiple void ratios and renormalization group constraint branches. The renormalization group constraint branches incorporate fractal power law constraints. The reconstruction process follows the self-organizing behavior of the mineralization process through these multiple deformable convolutional branches with different void ratios and fractal power law constraints. Furthermore, multi-scale feature sampling is achieved through these multiple deformable convolutional branches with different void ratios, improving the matching degree between the reconstructed geochemical data and the actual mineral deposits. Narrowing the target area improves the removal of "false anomalies," ultimately enhancing the mineral exploration indication value of the reconstructed geochemical data.

The invention provides a draw shaft ore heap void ratio real-time monitoring process, and belongs to the technical field of draw shaft ore drawing, and the draw shaft ore heap void ratio real-time monitoring process comprises the following steps: S1, carrying out initial scanning on a draw shaft by using a three-dimensional laser scanner to obtain three-dimensional model data of the draw shaft; s2, a plurality of pressure sensors are evenly distributed and installed on the shaft wall of the draw shaft, and the pressure distribution of the shaft wall is comprehensively reflected; s3, a vehicle-mounted weighing system is installed on the carry-scraper, the weight of the ore loaded by the carry-scraper system is recorded, a camera is installed, and the size and shape of the ore are counted through images; s4, collecting data of the pressure sensor and the vehicle-mounted weighing system in real time; carrying out binarization processing on the ore image, extracting an ore contour image, and carrying out statistics on ore shape and size information; and S5, by utilizing an algorithm in a data analysis module and combining the three-dimensional model, the stacking height and the total mass data, the accuracy and the real-time performance of void ratio monitoring are improved, and a new technical means is provided for production management and safety monitoring of a mine.

The present application belongs to the technical field of concrete, especially to a method for determining the mixing proportion of copper tailing cement concrete. In the process of determining the mixing proportion of different particle size stones, the present application firstly determines a proportion by using a grading curve, and then verifies the packing void ratio of the stones by using a stone throwing model. The grading curve uses mass ratio, while the stone throwing model calculates the number of stones to be thrown according to volume ratio. In the process of calculating the mixing proportion of stones, the present application considers the influence factors of mass and volume, and provides a method for calculating the number of stones in the process of stone throwing, so as to ensure the accuracy of the calculation result.

The present invention relates to the field of road engineering, and specifically provides a method for measuring the bulk density and void ratio of a coarse aggregate skeleton and judging the bulk packing state of the skeleton. By adding an asphalt-mineral powder mortar to the coarse aggregate, the present invention increases the cohesion between the coarse aggregate aggregates, enables the aggregates in each particle size range to be evenly distributed, forms a coarse aggregate skeleton agglomerate without segregation, and does not interfere with the formation of the skeleton; uses a rotational compactor to simulate the actual skeleton interlock state of the mixture, enables the coarse aggregate skeleton to be rearranged closer to the actual skeleton condition of the road surface, has higher test reproducibility and more accurate data; defines the aggregate interlock state according to the density change rate index, which is more accurate and more convincing.

The invention discloses a roadbed construction risk dynamic assessment management method and system based on a real-time state, and relates to the field of roadbed construction risk assessment. Comprising the following steps: acquiring a roadbed construction sub-road section with an overhigh or oversteep slope, and making a soil layering map of the road section; acquiring data of temperature, humidity, tension and jitter of different soil layers, and performing preliminary filtering and normalization processing; determining soil dry density and void ratio calculation values of different soil layers, and correcting the soil void ratio calculation values; acquiring soil void ratios of different soil layers when the slope instability problem occurs, and establishing a corresponding relation table between the slope instability and the soil void ratios; based on a machine learning algorithm model, establishing a correction model of the soil void ratio; and establishing a roadbed construction risk dynamic evaluation platform, and judging whether a slope instability risk exists or not. The roadbed construction risk is dynamically monitored in real time, the slope instability risk is effectively evaluated and judged, risk early warning is given out in time, and the roadbed construction safety is improved.

The invention is applicable to the technical field of underground engineering construction, and provides a micro-settlement control construction method for a shield tunneling machine to pass through an extremely soft soil stratum of a river in a close range, which comprises the following steps: S1, preparation before construction: S1-1, geological exploration: adopting various exploration means such as drilling, static sounding and vane shear test, and obtaining a micro-settlement control result; the method comprises the following steps: comprehensively surveying river bottom mud of a crossing section and a lower extremely-soft soil stratum to obtain physical and mechanical parameters of natural water content omega, natural weight gamma, void ratio e, compression modulus Es, cohesive force c and internal friction angle phi of the stratum, and meanwhile, ascertaining hydrogeological conditions of river water level, flow velocity, riverbed deposition thickness and stratum permeability coefficient k. According to the method, the quantitative relation among the tunneling parameters, the grouting parameters and the settlement amount is established, closed-loop control of the construction process can be achieved, the settlement amount can be effectively controlled within a micro-amplitude range, and the safety of a project and the surrounding environment is guaranteed.

The invention discloses a method for calculating transverse isotropic damage of layered rock mass, and aims to overcome the defect of deterioration of mechanical properties of limestone in an acid environment in the prior art. According to the method, a chemical damage variable and a mechanical damage variable are integrated, a total damage variable is obtained through coupling, and the elastic modulus and compressive strength of the rock mass are corrected accordingly. The method comprises the following specific steps: acquiring a pH value and a bedding dip angle of a limestone sample environment, monitoring an accumulated ringing count in a loading process, and acquiring a crack density and a void ratio of a limestone mass sample by using a scanning electron microscope; calculating a chemical damage variable and a mechanical damage variable; coupling to obtain a total damage variable; and correcting the elastic modulus and compressive strength of the rock mass based on the total damage variable, the initial elastic modulus and the initial shear modulus obtained through coupling. The method can accurately reflect the influence of acidic underground water on the mechanical properties of limestone, improves the real-time performance and accuracy of evaluation, and is suitable for rock mass damage evaluation in a complex geological environment.

The present invention relates to the technical field of tunnel construction, and in particular to an adaptive spray-mix reinforcement method and system for balancing the TBM excavation face. The spray-mix reinforcement method includes: real-time acquisition of excavation data, and calculation of a stability evaluation index based on the excavation data by fusing a weight coefficient and a dynamically updated threshold; when the stability evaluation index exceeds a preset threshold, pausing excavation and starting the spray-mix operation; acquiring images of the tunnel face before and after spraying and performing alignment processing to generate a differential mask, calculating the coverage, roughness, and void ratio based on the differential mask to comprehensively evaluate the spray-mix quality, and performing supplementary spraying or resuming excavation operations based on the evaluation results. The present invention automatically controls the timing, position, and amount of the spray-mix operation through real-time detection and intelligent evaluation of the surrounding rock state, and performs a spray-mix quality evaluation after the spray-mix is ​​completed, thereby achieving precise and efficient reinforcement and improving construction safety and efficiency.

The embodiment of the invention provides a settlement deformation calculation and prediction method and device, a storage medium and electronic equipment, and relates to the technical field of settlement deformation analys.The method comprises the steps that soil initial parameters and replacement parameters are obtained, the soil initial parameters comprise the water content, the void ratio and the liquid limit, and the replacement parameters comprise the water content, the void ratio and the liquid limit; the replacement parameters comprise the replacement rate, the diameter of a gravel pier and the thickness of a gravel mattress layer; constructing a finite element model based on the soil initial parameters and the replacement parameters; performing multi-stage step-by-step loading simulation based on the finite element model; convergence fitting is carried out based on a simulation result of the finite element model and actually measured settlement monitoring data, and a site settlement trend model is obtained; and evaluating the settlement degree of the site in each time period based on the site settlement trend model. According to the method, through three innovations of parametric modeling, multi-stage loading simulation and data-driven prediction, the problem of settlement calculation after dynamic compaction replacement of the high-water-content cohesive soil is solved.

The invention relates to the technical field of tunnel inverted arch reinforcement, in particular to a collapsible loess zone tunnel inverted arch reinforcement mode which comprises the following steps: S1, drilling and sampling collapsible loess in a tunnel area, and measuring a collapsibility coefficient, a void ratio, a permeability coefficient and a seismic liquefaction index of a soil body; s2, a combined reinforcing design is adopted; and S3, composite grout is adopted, the grouting length of each section is 1.2-1.5 m through a sectional grouting technology, and the circulating grouting interval time is 30-40 min. By adopting the combined reinforcing design, various reinforcing modes are organically combined, respective advantages are fully played, the stability of the tunnel inverted arch is comprehensively improved, the bearing capacity of the tunnel inverted arch in the collapsible loess environment is remarkably improved, settlement deformation is reduced, the reinforcing effect can be rapidly and accurately evaluated through an intelligent algorithm, and the method has the advantages of being high in practicability and easy to popularize. Potential safety hazards are found in time, reliable data support is provided for scheme optimization, and it is ensured that the tunnel inverted arch is always in a safe and stable state.

The invention relates to the technical field of concrete performance prediction, and discloses a particle accumulation model coupled full-graded concrete multi-mechanical property prediction method, which comprises the following steps: parameterizing aggregate accumulation by adopting a particle accumulation model, and calculating a theoretical maximum volume ratio and a theoretical void ratio of solid particles; the slurry volume is obtained according to different compression coefficients of material characteristics; according to the difference value between the theoretical void ratio and the slurry volume, the actual void ratio is obtained; calculating the total volume of concrete; obtaining the stacking density of each component of the concrete under the coupling of the particle stacking model; and adding the new characteristic value variable into the prediction model. A particle accumulation model is coupled with a prediction model, a compression coefficient is introduced to correct an aggregate accumulation state, and cement, fly ash and other cementing materials are also considered in an accumulation mode, so that the prediction model effect is remarkably improved, and the prediction model can be used for optimizing the mix proportion design of fully-graded concrete and predicting key performance indexes such as compressive strength and elastic modulus. And prediction result deviation is reduced.

The invention discloses a method for predicting excess pore water pressure of a saturated soil body in a critical state, which specifically comprises the following steps of: calculating average effective stress in the critical state of the soil body and a void ratio in the critical state of the soil body on the basis of a critical state soil mechanics theory and a critical state line third law; the method comprises the following steps: establishing a relational expression between the excess pore water pressure in a soil body critical state and the average effective stress in the soil body critical state, calculating a correlation expression, establishing an excess pore water pressure function expression, and establishing an excess pore water pressure prediction equation by using the excess pore water pressure function expression, the soil body initial effective confining pressure and the void ratio in the soil body critical state. The problem that in the prior art, a soil body average effective stress, deviatoric stress and void ratio relation model established through a traditional critical state soil mechanics method is insufficient in precision is solved.

The invention discloses a cementing material-mineral aggregate performance degradation rate determination method which comprises the following steps: acquiring a sample; performing CT scanning on the sample according to a set interval, and obtaining a plurality of two-dimensional scanning images; performing image processing on the two-dimensional scanning image to obtain a gap extraction image, and calculating a layer-by-layer void ratio; carrying out three-dimensional model reconstruction on the gap extraction graph to obtain a sample three-dimensional model, and carrying out statistics on the equivalent diameter of each gap; calculating a void ratio attenuation rate along a direction perpendicular to the two-dimensional scanning graph; and judging each performance attenuation rate according to the void ratio attenuation rate. According to the method, various road properties of the PPUM material can be analyzed through nondestructive testing of the internal gaps of the sample, rapid development and debugging of the PPUM material are facilitated, and the research and development period is shortened. Meanwhile, the method can be used for predicting the service life of the pavement.