33 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 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 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 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 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 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 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 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.

This invention discloses a method, apparatus, and storage medium for calculating the bearing capacity of coral sand vibratory compaction foundations. The calculation method includes: determining the initial void ratio of the original coral sand on-site; performing multi-stage vibratory compaction on the foundation; testing the void ratio and effective reinforcement depth of the coral sand after vibratory compaction based on the energy of each stage of compaction; determining the energy dissipation coefficient of coral sand particle breakage through drop weight tests; establishing a formula for calculating the ultimate bearing capacity of coral sand to calculate the bearing capacity; and adjusting reinforcement parameters or optimizing load distribution. This calculation method couples the void ratio and particle breakage energy dissipation of coral sand to the bearing capacity calculation formula. On-site load plate measurements show that the bearing capacity calculation results after incorporating the characteristics of coral sand have small errors compared with on-site verification, meeting engineering design requirements and can be directly used in the reinforcement design calculation of coral sand foundations, significantly reducing the deviation of traditional design calculation results. In addition, this method is highly operable, economical, and computationally efficient, making it suitable for deep-sea island and reef engineering design applications.

The invention relates to the technical field of data prediction, in particular to an expansive soil expansibility evaluation model construction method and system.The expansive soil expansibility evaluation model construction method comprises the following steps that moisture absorption and dehumidification cycle data are collected to construct a closed state evolution coordinate sequence, and the single-cycle hysteresis energy dissipation density is calculated through a trapezoidal numerical integration algorithm; and calculating a structural damage increment and updating a structural integrity coefficient, constructing a suction stress contribution factor and correcting real-time matric suction, performing superposition to obtain equivalent effective stress, and calculating a void ratio variation and a volume expansion rate by utilizing Lagrange interpolation and combining a void ratio relation table. According to the method, structural damage and integrity decline are quantified by calculating a hysteresis energy dissipation value, a suction stress contribution factor is constructed to correct a stress state, void ratio change is deduced, a mechanical property prediction system based on energy dissipation and structural evolution is established, and the limitation of static physical index evaluation is overcome; and the volume deformation prediction accuracy and applicability of the expansive soil are remarkably improved.

The invention discloses a coral sand vibroflotation consolidation foundation bearing capacity calculation method and device and a storage medium. The calculation method comprises the steps that the initial void ratio of original coral sand is measured on site; performing multi-stage vibroflotation compaction on the foundation; testing the void ratio and the effective reinforcement depth of the coral sand after the coral sand is subjected to vibroflotation after the foundation reinforcement of each stage of vibroflotation energy; determining the crushing energy consumption coefficient of the coral sand particles through a falling weight test; establishing a coral sand ultimate bearing capacity calculation formula to calculate the bearing capacity; reinforcing parameters are adjusted or load distribution points are optimized; according to the calculation method, the void ratio and particle crushing energy consumption of the coral sand are coupled to a bearing capacity calculation formula, field load plate actual measurement shows that the error between the bearing capacity calculation result fused with the coral sand characteristics and field verification is small, the engineering design requirement is met, and the method can be directly applied to reinforcement design calculation of the coral sand foundation; the result deviation of traditional design calculation is obviously reduced; in addition, the method is high in operability, good in economical efficiency, high in calculation efficiency and suitable for deep sea island engineering design application.

The invention relates to the field of tunnel engineering construction, in particular to a backfill grouting technology. Firstly, construction preparation is conducted, stratum parameters are obtained, and a stratum parameter-slurry ratio-grouting parameter mapping relation library is established; in the synchronous grouting stage, a multi-dimensional pressure equalizing system with a six-pipeline eight-grouting-hole four-main and four-auxiliary layout is adopted, and the pressure and the grouting amount are dynamically regulated and controlled based on a grouting pressure-void ratio model; a short-distance water stop ring is constructed on the third ring behind the shield tail, and rapid-hardening micro-expansion double-liquid slurry is injected to form a closed-loop water stop ring; secondary reinforcing grouting is conducted on the fifth ring to the eighth ring behind the shield tail, and risk points are recognized through sensor data and accurately filled; and by combining real-time monitoring and a dynamic grout supplementing mechanism, the quality is finally verified through a drilling grouting method. According to the method, the stratum self-adaption capacity, grouting uniformity and water stop reinforcing efficiency of grout are remarkably improved, the deformation and leakage risks of the duct piece are reduced, the construction efficiency is improved by 40%, and the method is suitable for complex stratum shield tunnel engineering.

The invention relates to a coal mine underground coal face goaf void ratio prediction method, which mainly comprises the following steps of: firstly, constructing a section width mathematical model of a goaf behind a working face according to the stress state of each section of the goaf behind the working face; secondly, according to the stress state of each subarea of the goaf behind the working face, constructing a void ratio mathematical model of the goaf; and finally, obtaining a void ratio distribution rule of the goaf behind the working face in combination with a laboratory simulation test result and an on-site actual condition. The method solves the problem of poor reliability of estimating the void ratio of the goaf behind the working face in the prior art, can greatly improve the prediction precision of the goaf air leakage rate, spontaneous combustion three zones, goaf filling and the like, and scientifically guides precise management and disaster prevention and control of a mine.

The invention belongs to the technical field of tailing pond design and calculation, and particularly provides a tailing sedimentary layer shear strength parameter conversion method which comprises the following specific steps: step 1, field investigation; step 2, sampling and parameter analysis; the particle size distribution curve, the dry density, the natural density, the maximum void ratio, the minimum void ratio, the permeability coefficient, the cohesive force and the internal friction angle parameter of the tailing sample are obtained; 3, determining in-situ test parameters and correction coefficients; the pore ratio and the standard penetration cohesive force of the in-situ tailing sedimentary body are specifically included; step 4, parameter conversion; converting the cohesive force of the tailings sedimentary layer and converting the internal friction angle of the tailings sedimentary layer. The complete method for calculating the cohesive force and the internal friction angle of the strength parameters of the on-site in-situ tailing sedimentary layer with clear mechanical significance is established, objective strength parameters are provided for stability design of the tailing pond dam, the design error of the tailing pond dam is reduced, and the safety of the tailing pond dam is improved.

The invention belongs to the technical field of concrete optimization, and discloses a gravel void ratio matching optimization method, device and equipment and a storage medium, and the method comprises the steps: building a training data set according to the obtained grading parameters of single-grade gravel, the obtained needle-sheet-shaped particle content index and the obtained historical void ratio data of the corresponding gravel; constructing an initial void ratio optimization model based on a convolutional neural network; inputting the grading parameters of the single-fraction broken stones and the content index of the needle-sheet-shaped particles into the void ratio optimization model to obtain a predicted void ratio; training the initial void ratio optimization model through the training data set until a target void ratio optimization model is obtained; the grading parameters and the needle-sheet-shaped indexes of the to-be-optimized broken stone are input into the target void ratio optimization model, the target void ratio predicted value is obtained, the use amount of the cementing material is optimized through the target void ratio predicted value, the association relation between the grading parameters, the needle-sheet-shaped particle content indexes and the void ratio is fused in the mode, and the matching optimization precision is improved.

This invention discloses a method for predicting the melting settlement of ice-rich permafrost, relating to the fields of geotechnical engineering and disaster prevention and mitigation in cold regions. The method includes: constructing a layered parameter model of the permafrost; vectorizing the temperature field based on Fourier's law and the sensible heat capacity method; and automatically identifying the soil type based on an initial void ratio threshold. For ordinary permafrost, a large-strain consolidation model is used to calculate settlement; for ice-rich layers, a volumetric collapse model is used to directly convert the melted ice volume into settlement. The method combines Lagrange dynamic mesh technology to update node coordinates and physical parameters in real time, achieving bidirectional coupling of thermodynamic parameters, and introduces adaptive time step control to improve computational efficiency. This invention, through the coupling of consolidation and collapse mechanisms, solves the problems of inaccurate settlement prediction and low computational efficiency in traditional methods for high-ice-content permafrost. It can accurately simulate the settlement deformation of complex strata such as ice wedges and ice lenses under long-term thermal action, and is suitable for stability assessment and disaster prevention in cold region engineering.

The invention discloses a method for determining the consolidation degree of a soft soil foundation reinforced by a composite pile by considering the anisotropy of soft soil, and relates to the field of soil mechanics. Obtaining a yield function combining a dimension hardening rule and a rotation hardening rule; a calculation formula for describing the nonlinear seepage behavior of soft soil around the composite pile is obtained; the calculation formula of the nonlinear seepage behavior is used for representing the nonlinear relationship between the void ratio and the permeability coefficient; the yield function, a calculation formula for describing the nonlinear seepage behavior and a calculation formula for the average consolidation degree are combined, and the average consolidation degree of the composite pile reinforced soft soil foundation under different loading modes is solved; the calculation formula of the average consolidation degree is constructed based on the influence of the anisotropic behavior, the nonlinear seepage behavior and the disturbance on the horizontal permeability of the smearing belt. According to the method, the determination precision of the average consolidation degree of the composite pile reinforced soft soil foundation is improved.

This invention discloses a method for gradation design of drainage asphalt mixtures based on a target void ratio, relating to the field of road engineering technology. The method includes: determining the target void ratio; initially proposing a skeleton-void type gradation curve and determining the passing rate of the boundary sieve; obtaining gradation parameters, including coarse aggregate void ratio, coarse aggregate compacted density, fine aggregate compacted density, and asphalt density; calculating the fine aggregate content at the target void ratio based on the gradation parameters; adjusting the fine aggregate content according to the difference between the fine aggregate content and the passing rate of the boundary sieve; testing the void ratio of the drainage asphalt mixture; and completing the gradation design when the void ratio is within the allowable error range of the target void ratio. This invention calculates the fine aggregate content using a theoretical formula based on the target void ratio, allowing the void ratio to directly participate in the gradation design process, ensuring that the designed drainage asphalt mixture achieves the preset target void ratio; it can quickly achieve drainage asphalt mixtures meeting the target void ratio, reducing experimental workload and improving gradation design efficiency.