853 results about "Subgrade" patented technology

The invention relates to the field of construction engineering, in particular to a roadbed construction slope displacement monitoring system based on cloud computing. A sensor network is used for collecting roadbed construction data in a roadbed, wavelet transform is used for denoising the data, a dynamic time warping algorithm in a cloud computing unit is used for aligning time sequence data in the initial roadbed construction data, and the weight of each sensor data is dynamically distributed based on an entropy weight method. A hybrid prediction model is established based on an LSTM long short-term memory network and FEA finite element analysis, a slope stress field result simulated by FEA is used as a physical constraint layer of the LSTM, an attention layer is embedded in the physical constraint layer, hyper-parameters of the initial hybrid prediction model are optimized by using a Cs-Ant improved cuckoo-ant colony combinatorial algorithm, and a slope stress field is obtained. And inputting the feature roadbed construction data into the target Cs-FEA-LSTM hybrid prediction model for prediction. The manual analysis cost is effectively reduced, and the level of roadbed engineering full-period monitoring is improved.

The invention discloses a fiber foamed concrete and a preparation method thereof. The fiber foamed concrete comprises the following raw materials in parts by weight: 5290 parts of cement, 4965 parts of water, 1.361 part of foaming solution, 1.2964 part of fly ash and 10 parts of fiber. The preparation method comprises the following steps: proportionally weighing the components; sequentially adding the cement and fly ash into a stirrer, proportionally weighing the water, uniformly stirring the mixture by the stirrer, and adding the fiber; preparing and adding the foaming solution; gradually adding the foam into the mixture, and continuously stirring until all the components are uniformly mixed; pouring the mixture into a mold on which lubricating oil is brushed, and curing in a curing chamber; after 24 hours, removing the mold; and respectively curing for 3 days, 7 days and 28 days for experimental detection. The fiber foamed concrete has the advantages of favorable thermal insulation property, favorable compression resistance and favorable bending resistance, and is applicable to a railway bed strengthening layer.

The invention discloses a subgrade graded filling construction settlement prediction method and system, and relates to the technical field of subgrade construction.The subgrade graded filling construction settlement prediction system comprises a data sensing module, an edge calculation module, a central processor, an emergency decision module and a digital twinborn platform; non-linear working condition classification is carried out through an edge calculation module, complex working conditions are effectively identified, and the accuracy of working condition classification is improved; a mechanism that environmental factors indirectly influence settlement is disclosed through a central processor, the synergistic effect of environmental and geological factors is captured, then a hybrid prediction model is established to achieve quantitative evaluation of the roadbed filling state, and the adaptability to complex working conditions is improved; and then dynamic balance of settlement control and resource allocation is realized through an emergency decision module, visual support is provided for construction management through digital twinning and 3D modeling, decision efficiency and transparency are improved, and the method has important engineering application value and technical leading.

The invention relates to an intelligent compaction monitoring method and system for a highway subgrade pavement. The method comprises the following steps: collecting construction site data of the highway subgrade pavement; wherein the construction site data comprises soil mass density, water content and temperature; inputting the construction site data into a compactness prediction model to obtain the compactness of the roadbed and the pavement; wherein the compaction degree prediction model is constructed based on a quantitative relation between construction site data and radar signals; and carrying out early warning on the compaction degree. According to the invention, intelligent and precise monitoring of the compaction degree of the roadbed and the pavement can be realized, the accuracy and the reliability of compaction quality evaluation are improved, data support is provided for optimization of a compaction construction process, and the roadbed and pavement engineering quality is effectively guaranteed.

The invention belongs to the technical field of roadbed engineering, and particularly relates to a construction uniformity evaluation method for a clay improved copper tailing roadbed. The method comprises the following specific steps: S1, determining the proportion of the clay improved copper tailing roadbed filler; s2, applying the blended clay improved copper tailings to roadbed construction; and S3, carrying out construction detection on the clay-improved copper tailing roadbed, calculating a mixing uniformity coefficient, and comparing the mixing uniformity coefficient with a uniformity coefficient in a laboratory to evaluate the construction uniformity of the clay-improved copper tailing roadbed. According to the method, after roadbed construction is completed, a working project of measuring the compactness through a field sand filling method is combined, the mixing uniformity coefficient is calculated with the deviation between the composition proportion of roadbed filler sampled through the sand filling method and a proportion design result as a parameter, and the construction quality can be effectively evaluated conveniently.

The invention discloses a road foundation bearing characteristic analysis method and system, relates to the technical field of road foundation analysis, and realizes a fundamental breakthrough for the problems of high misjudgment rate, poor climate adaptability and the like caused by a traditional fixed threshold by constructing a dynamic self-adaptive risk judgment threshold mechanism. According to the mechanism, when a dynamic threshold value Tdy is calculated, spatial statistical characteristics of current foundation response strength are fully fused, and a comprehensive environment disturbance characteristic, namely a collapsible environment index, is combined, so that a dynamic judgment standard with environment sensitivity adjustment capability is formed. The system can automatically adjust the risk identification threshold value according to the actual rainwater infiltration intensity and the underground water dynamic jump condition, so that the system can actively reduce the risk tolerance boundary and identify and respond to an abnormal area in advance under the extreme working conditions of heavy rainfall, rapid underground water rising and the like, and moderately relaxes in a dry or stable period, so that the risk identification accuracy is improved. And the real-time performance and adaptability of risk identification are obviously improved.

The invention discloses a high-speed railway roadbed structure design method based on dynamic stability. The method comprises the following steps: starting a design process: clearly designing load and control conditions; constructing a lumped parameter dynamic coupling model of the high-speed railway vehicle-track-roadbed layered structure; setting parameter input and verification are carried out on the model based on the design parameter system; solving a roadbed layered dynamic response result through the dynamic coupling model; judging critical conditions of the first design threshold and the second design threshold; various design parameters meeting the first design control threshold value and the second design control threshold value are substituted into the dynamic coupling model for recalculation, it is verified that various dynamic response rules meet design requirements, and finally the design target is completed. According to a typical high-speed railway subgrade structure subgrade bed surface layer graded broken stone and subgrade bed bottom layer coarse-grained soil filler type, a high-speed railway subgrade filler dynamic stability critical state judgment standard is established in combination with a long-term deformation development rule and hysteresis energy characteristics of different fillers under the action of train power; and the support is provided for the stability design of the high-speed railway roadbed structure.

The invention discloses a roadbed continuous compaction degree real-time monitoring method based on artificial intelligence, and relates to the technical field of roadbed construction control, and the method comprises the following steps: constructing a multi-modal fitting model based on the correlation between roadbed compaction factors and the compaction degree; the roadbed type before compaction construction and detection data in the compaction construction process are collected and input into the multi-modal fitting model, and the real-time compaction degree of the roadbed in the current construction process is analyzed and calculated; setting a compaction qualification index based on the normative standard of the current construction area, and judging whether the current road roller meets a compaction ending condition or not; and when the compaction degree of all the compaction areas reaches a compaction qualified parameter, controlling the road roller to finish compaction. According to the method, the convergence calculation speed is accelerated by using the artificial intelligence algorithm to reach a real-time evaluation level, conditions are created for establishment of continuous compaction of the roadbed and real-time evaluation of the compaction degree, timeliness and accuracy are achieved, and the manual detection cost is greatly reduced.

The invention discloses a roadbed pavement test and data acquisition system under the action of moving load, which comprises the following steps of: acquiring high-precision pavement unevenness data, decomposing features through a space-time convolution variational self-encoding network and inhibiting noise; based on the normal stiffness and the morphological gradient, the density of the sensor is adjusted by adopting dynamic grid division, and multi-modal data is fused by utilizing Bayesian weight. And adaptively extracting signal details by applying multi-scale transformation, and designing a filter to enhance the damage signal and optimize the structure entropy. And constructing a multi-field coupling grid control equation to realize dynamic topological optimization reconstruction. And establishing a damage evolution state space, and training the prediction model through a multi-stage reinforcement learning framework in combination with experience playback. And constructing a digital twin mapping model, integrating Bayesian optimization and reinforcement learning, and establishing a virtual-real feedback channel to realize dynamic decision optimization. According to the invention, innovative improvement on a traditional test method and a data acquisition system is provided, and meanwhile, complex nonlinear dynamic behaviors can be accurately simulated and analyzed.

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 frozen earth region highway subgrade thaw collapse measurement method and system, and relates to the technical field of data measurement management, and the method comprises the steps: obtaining a to-be-measured subgrade region, obtaining a plurality of measurement directions, forming a node sequence of each measurement direction, and obtaining a blank measurement region; acquiring a first moment and a second moment, acquiring a first roadbed height sequence at the first moment, acquiring a second roadbed height sequence at the second moment, and acquiring a current roadbed height sequence; obtaining a current trend value, obtaining a first historical trend value, obtaining a second historical trend value, obtaining a first difference value, and obtaining a second difference value; and if the first difference value and the second difference value are both smaller than a preset threshold value, obtaining a measurement result of each blank measurement area according to the current roadbed height sequence of each node sequence. The method has the advantages of accurate prediction, high-precision measurement and adaptive measurement.

The invention relates to the field of building construction, in particular to a roadbed stability dynamic analysis method based on a building information model and finite difference, through dynamic updating of a BIM model and visual analysis result feedback, constructors can be guided to accurately control the compactness and layering thickness of filling materials, so that the construction quality is improved, and the construction period is shortened. And the quality problem caused by uneven filling or weak foundation is reduced. Through bidirectional association of BIM and FLAC3D, a closed-loop process of construction data, numerical analysis and result feedback is formed, and the time from monitoring to analysis is greatly shortened. In the construction process, the construction technology can be rapidly adjusted according to field data, reworking and delay are avoided, and the construction efficiency is improved. FLAC3D analysis results, such as a settlement curve, a safety coefficient distribution diagram and a stress distribution diagram, are visually displayed by adopting a three-dimensional cloud picture, so that constructors and managers can quickly understand the analysis results, the technical threshold is reduced, and meanwhile, a more scientific basis is provided for construction decision making.

The invention relates to the technical field of road engineering, in particular to a new highway subgrade stability evaluation method and system based on data analysis, and the method comprises the steps: obtaining underground goaf data of a target engineering region, new highway subgrade design data and highway network data of an existing highway; carrying out underground goaf modeling, new highway subgrade modeling and highway network modeling by utilizing a three-dimensional modeling technology, and constructing a space coupling three-dimensional model; evaluating the stability of the underground goaf under the coupling influence of the existing highway; evaluating the stability of the newly-built highway subgrade according to an underground goaf stability evaluation result in combination with the space coupling three-dimensional model; newly-built highway subgrade stability early warning is conducted according to the newly-built highway subgrade stability evaluation result. According to the method, the stability influence of the existing highway on the underground goaf and the space-time coupling effect of the underground goaf on the newly-built highway subgrade are quantified, so that the accuracy and reliability of stability evaluation of the newly-built highway subgrade are effectively improved.

The invention discloses a roadbed internal depth displacement prediction method fusing a multi-physics field coupling mechanism and an LSTM time sequence prediction model. The method comprises the steps of obtaining initial conditions of a temperature field, a moisture field and a stress field in a to-be-predicted region; constructing a roadbed internal depth displacement prediction model, inputting the initial condition into the roadbed internal depth displacement prediction model for prediction, and obtaining a displacement prediction result; wherein the roadbed internal depth displacement prediction model is a physical constraint LSTM model and comprises a plurality of independent sub-networks, features of temperature, moisture and stress are extracted through the independent sub-networks, the features are fused, and a displacement prediction result is output. The method provides a theoretical basis and technical support for the disaster prediction of the loess low embankment in the seasonal frozen region, effectively reduces the roadbed disease repair cost, and guarantees the road service safety and economic sustainability.

A detection method and device for predicting railway mud swells and mud leaks, comprising: step 1, obtaining a railway subgrade filling coefficient, a cyclic loading coefficient, and a radar detection coefficient; step 2, calculating a railway mud swell and mud leak risk value based on the subgrade filling coefficient, the cyclic loading coefficient, and the radar detection coefficient; and step 3, setting a risk value threshold, comparing the mud swell and mud leak risk value with the risk value threshold, and predicting the occurrence of mud swell and mud leaks when the mud swell and mud leak risk value is greater than or equal to the threshold. The present invention not only improves the accuracy of subgrade geological radar detection but also comprehensively considers subgrade filling and cyclic loading. Compared to existing technologies, the present invention comprehensively considers the three necessary conditions for mud swell and mud leaks, quantitatively and comprehensively predicting railway subgrade mud swell and mud leaks, meeting the requirements of resource conservation and quality and safety engineering construction.

The present invention discloses a system and method for preventing and controlling frost heave damage in railway subgrades adapted to severe cold climates. This system belongs to the field of seasonal frozen soil engineering technology. The prevention and control system includes several ground-source heat pump devices consisting of heating units, heating pipes, heat collecting pipes, and a detection assembly. Several heating units are arranged at the foot of the subgrade slope along the length of the railway. The heating pipes are laid in the frost heave development layer of the subgrade, and the heat collecting pipes are installed in the stable layers of the foundation on both sides of the subgrade. A heat carrier circulates through the pipeline consisting of the heating pipes, heating units, and heat collecting pipes. Temperature sensors, pressure sensors, and displacement sensors are used to monitor the subgrade freezing temperature, heat carrier temperature, compressor intake and exhaust pressures, and track deformation, respectively. A control assembly receives signals from the detection assembly and controls the operating mode of the heating units. The present invention ensures rapid compressor superheat establishment during startup in severe cold environments and rationally controls the compressor exhaust temperature range and operating mode during normal operation.

The invention discloses a railway roadbed frost heaving disease prevention and control system and method adapting to severe cold climate, and belongs to the technical field of seasonal frozen soil engineering.The prevention and control system comprises a plurality of ground source heat pump devices composed of heating units, heat supply pipes, heat collection pipes and detection assemblies, and the heating units are arranged at the slope toe position of a roadbed in the length direction of a railway; the heat supply pipe is laid on a frost heaving development layer of a roadbed, the heat collecting pipes are arranged on stable layers of the roadbed on the two sides of the roadbed, and the heat-carrying agent circularly flows in a pipeline composed of the heat supply pipe, the heating unit and the heat collecting pipes. A temperature sensor, a pressure sensor and a displacement sensor are used for monitoring the roadbed freezing temperature, the heat-carrying agent temperature, the suction and exhaust pressure of a compressor and the deformation amount of a track; and the control assembly receives a signal of the detection assembly and controls the operation mode of the heating unit. According to the method, rapid establishment of the superheat degree of the compressor in the starting stage in the severe cold environment and reasonable control over the exhaust temperature range and the operation mode of the compressor in the normal operation stage can be guaranteed.

The invention belongs to the technical field of settlement observation, and particularly relates to an expressway roadbed settlement observation device which comprises a bottom plate, a top plate and vertical plates arranged at the two ends of the top plate, the bottom plate is arranged on a foundation, the bottoms of the vertical plates are fixedly installed on the bottom plate, the vertical plates and the bottom plate are arranged in a roadbed, side plates are arranged on the two sides of the vertical plates, and the side plates are arranged on the top plate. Observation mechanisms are arranged on the two sides of the center line of the top plate, a leveling mechanism is further arranged on the bottom plate, and the leveling mechanism is matched with the second rack. According to the subgrade settlement observation device, settlement observation can be carried out on different positions of a subgrade, when the subgrade where the first rack is located settles, the first rack moves downwards to drive the gear to rotate, the gear rotates to drive the second rack to move outwards, and when the subgrade where the connecting piece is located settles, the connecting piece settles to drive the second rack to rotate around the rotating shaft; and when the subgrade at different positions settles, the state of the second rack is different, so that the subgrade settlement observation accuracy is improved.

The invention discloses a roadbed settlement and landslide hidden danger identification method and system along a traffic corridor, and the method comprises the steps: obtaining a time sequence satellite-borne data set of a target region, and carrying out the format conversion of the data format of the time sequence satellite-borne data set; generating an interference pair network based on the time baseline threshold; generating a filtered differential interference image set; performing differential interference phase unwrapping processing on the filtered differential interference image set to obtain an unwrapped differential interference image set; performing atmospheric delay phase correction on the unwrapped differential interference image set to obtain an unwrapped interference image set after atmospheric correction; calculating to obtain the annual average settlement rate of the linear traffic corridor area and a time sequence accumulated deformation result; based on the annual average settlement rate of the linear traffic corridor area, the spatial settlement gradient field information of the linear traffic corridor area is extracted, the settlement rate and the spatial settlement gradient field information meeting the hidden danger judgment standard are output, the roadbed settlement and landslide hidden danger extraction and recognition result of the target area is obtained, and the road area detection efficiency is improved.

The invention belongs to the technical field of road engineering roadbed nondestructive testing, discloses a roadbed humidity nondestructive testing method based on wireless radio frequency signal multi-parameter inversion, and aims to solve the problems that a traditional roadbed humidity testing method is destructive, low in efficiency and discontinuous in monitoring or detection parameters are easily interfered. The method specifically comprises the following steps of: firstly, embedding an RFID tag and acquiring an on-site received signal strength indication value; then establishing a relation model of the received signal strength indication value and the roadbed moisture content, and extracting characteristic parameters only influenced by the moisture content; then, constructing a neural network model, taking the extracted characteristic parameters as input, and utilizing field data to train the model to invert the roadbed moisture content; and finally, the spatial distribution of the moisture content of the roadbed is obtained by combining the distribution of the test points and the roadbed structure information, so that the efficient, non-contact and continuous monitoring of the humidity state of the roadbed is realized.

The invention discloses a roadbed settlement prediction method and system under an intermittent load effect. The method comprises the following steps: constructing a state evolution model of a roadbed under the action of intermittent load; cyclic stress parameters of the roadbed in the preset load period are determined, wherein the cyclic stress parameters comprise the dynamic stress amplitude, the number of cycles of the load and the initial stress value; a softening index corresponding to the roadbed is determined based on the cyclic stress parameter, a relational expression between the softening index and the load vibration frequency is established, and a modulus softening prediction model of the roadbed is determined based on the relational expression; and coupling the modulus softening prediction model with the state evolution model, and determining a roadbed cumulative strain prediction model based on a coupling result, so as to determine the settlement evolution state of the roadbed under the intermittent load based on the roadbed cumulative strain prediction model. According to the invention, the finally obtained roadbed accumulated strain prediction model can reflect the actual settlement state of the roadbed under the intermittent load more truly.

The invention discloses an expansive soil roadbed drainage anti-seepage structure and a construction method, and relates to the technical field of expansive soil roadbed construction.The expansive soil roadbed drainage anti-seepage structure comprises a roadbed body and geotechnical cloth and further comprises a laying mechanism arranged on a moving vehicle and used for laying the geotechnical cloth, and the laying mechanism comprises an L-shaped plate slidably connected to the moving vehicle; the end, away from the moving trolley, of the L-shaped plate is connected with a U-shaped frame, the U-shaped frame is rotationally connected with a rotating shaft, the geotechnical cloth is wound around the rotating shaft, and a first motor used for driving the rotating shaft to rotate is arranged on one side of the U-shaped frame. According to the expansive soil roadbed drainage anti-seepage structure and the construction method, through the arrangement of the laying mechanism, an operator does not need to conduct manual laying operation on the inclined side wall of the side ditch, then the safety of geotechnical cloth laying is improved, and meanwhile under the cooperation effect of the pressing assembly and the driving assembly, the anti-seepage performance of the side ditch is improved.

The invention discloses a municipal road subgrade protection engineering construction technology, and relates to the technical field of municipal road construction, and the municipal road subgrade protection engineering construction technology comprises the following steps: S1, geological investigation and evaluation; s2, roadbed design and optimization; s3, drainage system design and water conservancy project; s4, roadbed reinforcement treatment; s5, roadbed material selection and quality control; s6, roadbed construction and compaction; s7, protecting and reinforcing the side slope; s8, roadbed monitoring and maintenance; and S9, implementing environmental protection and energy saving measures and performing construction safety management. By implementing detailed geological investigation and evaluation, scientific design and optimization, targeted reinforcement treatment, strict quality control and a comprehensive monitoring and maintenance system and integrating environmental protection and energy saving concepts, the stability and durability of the municipal road subgrade are improved, geological and environmental risks are effectively avoided, and the safety and reliability of the municipal road subgrade are improved. The rationality and safety of the road structure are ensured, meanwhile, resource saving and environment protection are promoted, and a solid foundation is laid for smoothness and safety of urban traffic.

The utility model relates to a two-stage road pavement structure for an unstable roadbed, which is particularly suitable for an unstable area easy to settle and comprises a first-stage pavement structure and a second-stage pavement structure positioned behind the first-stage pavement structure for construction, wherein the first-stage pavement structure is provided with a pre-sedimentation pavement base layer and a prefabricated high-strength concrete interlocking block surface layer, the prefabricated high-strength concrete interlocking block surface layer is arranged on the pre-sedimentation pavement base layer, the second-stage pavement structure comprises a leveling layer and an asphalt surface layer, the leveling layer is located on the prefabricated high-strength concrete interlocking block surface layer, and the asphalt surface layer is located on the leveling layer. And the asphalt surface layer is positioned on the leveling layer. The utility model has the advantages of low manufacturing cost, high bearing capacity, good durability, convenience in construction, easiness in maintenance and replacement and strong adaptability to settlement deformation, and can fully ensure the use of the whole life cycle of the road; subgrade settlement is accelerated; construction is completed in a short time, and the influence on current traffic is small; dismounting and reconstruction are not needed, and resources are saved.

The invention discloses a powder spraying pile composite roadbed deformation prediction method, and particularly relates to the field of roadbed settlement prediction, comprising the following steps: in an edge calculation node, respectively constructing an underground water level change event, a construction stage event, a soil consolidation stage event and a traffic load cycle event into independent event time chains; the event time chain is recorded by taking the occurrence moment of the event, the duration of the event and the interval duration between the events as a time step unit; and performing splitting operation on the time step units of each event time chain, and forming a time granularity matrix according to the duration difference between the time step units. A plurality of types of discrete events such as water level, construction, consolidation, traffic load and the like are uniformly disassembled into time step length units, and a time granularity matrix and a time dislocation vector are constructed, so that the rhythm difference and dislocation relationship of the events on different time scales can be quantitatively expressed; and solving the transition of the settlement stage by taking the result as the observation input of the variational Markov model.

The invention relates to a crack detection method and system for expressway construction. The method comprises the following steps: acquiring a multi-modal sensing data set containing multispectral, three-dimensional point cloud and polarized light data on the surface of a highway to be detected, generating a multi-dimensional fusion image, and classifying to obtain a detection scene type; obtaining interference judgment parameters in combination with a preset scene-threshold mapping model; then layering and filtering interference to obtain an effective fusion image; geometric and thermodynamic parameters of the crack are extracted, working condition background data such as historical detection, environment and traffic are combined, a complete-cycle comprehensive risk value and roadbed residual bearing capacity are obtained, and finally a grading detection report is generated. By adopting the method, the crack risk and the roadbed bearing capacity can be quantified, and the reliability of complex scene detection and the scientificity of maintenance decision are improved.

The invention provides a high fill roadbed settlement prediction method, and belongs to the technical field of engineering construction.The method comprises the steps that firstly, a large test box interface test system is established, and a 4 * 4 sensor monitoring network is arranged on the interface of filler and a foundation soil layer; the influence of different parameter combinations on interface mechanical properties is researched through a parameter change experiment system, and a parameter database is established; obtaining actual measurement data of typical engineering and determining a calibration coefficient; establishing an interface element model, and obtaining an interface friction angle, cohesion and rigidity parameters; calculating the deformation of each layer by adopting a layered accumulation method; introducing a time effect correction factor to consider consolidation characteristics; the slip influence is evaluated through an interface slip test, and the prediction deviation caused by neglecting the interface effect in a traditional method is corrected; and finally, constructing a deep learning prediction model, and verifying prediction precision and reliability through actually measured data.

The invention discloses a highway subgrade compactness detection method, and belongs to the technical field of subgrade detection. The invention discloses a highway subgrade compactness detection method. The method comprises the following steps: S1, moving soil sampling equipment to a specified subgrade position; s2, drilling and soil sampling are conducted on the designated roadbed position through soil sampling equipment; s3, the soil taking equipment is moved out of the drilling position after drilling is completed, and the taken soil is automatically weighed; s4, then the substrate with the through holes is placed at the drilling positions, and the through holes of the substrate are aligned with the drilling positions; s5, the sand filling cylinder is placed in the middle of the base plate, and sand in the sand filling cylinder flows into the through hole through the opening in the bottom and finally falls into the drill hole till the sand in the sand filling cylinder does not flow downwards; by arranging the soil taking assembly, the regularity of a deep pit is ensured while pit digging and soil taking are performed, so that the detection precision is improved, meanwhile, workers can conveniently and automatically collect and weigh the dug soil, and the roadbed compaction detection efficiency is improved.

The invention relates to the technical field of permafrost region subgrade protection, and discloses a subgrade moisture accumulation prevention method and structure and a heating temperature calculation method.The heating temperature calculation comprises the steps that the sum of evaporation power and precipitation difference values of months with the monthly average temperature larger than 0 DEG C is obtained; obtaining a first daily water seepage amount; calculating to obtain surface evaporation loss according to the month with the monthly average temperature greater than 0 DEG C, the sum of the difference values of the evaporation power and the precipitation, the first daily water seepage amount and parameters of the moisture accumulation prevention structure, and calculating to obtain saturated vapor pressure for heating the surface of the drainage ditch in the moisture accumulation prevention structure according to the surface evaporation loss; and calculating the heating temperature by using the saturated vapor pressure. By collecting, blocking and evaporating freeze-thaw water on the mountainside or the slope side, the water accumulation prevention structure relieves the problem of serious water accumulation on the roadside, guarantees the road stability, prevents roadbed diseases, prolongs the service life of the road, and assists high-quality construction of road engineering in cold regions.

The invention discloses a fluid-state curing regenerated mixture, a preparation method and application of the fluid-state curing regenerated mixture in rapid repair of highway subgrade water damage, and relates to the technical field of building materials, the fluid-state curing regenerated mixture comprises the following raw materials by weight: 12%-20% of a cementing material, 20%-40% of redundant soil, and 40%-60% of graded aggregate; the preparation method comprises the following steps: firstly, carrying out processes of sorting, impurity removal, crushing, screening and the like on the building solid wastes to respectively obtain graded aggregates and redundant soil with different particle sizes; then blending the crushed graded aggregate and redundant soil according to a proportion, and carrying out primary mixing to obtain a mixture; and finally, blending the mixture with a cementing material in proportion, adding water, and carrying out secondary mixing, so as to obtain the flow-state cured regenerated mixture. According to the flow-state curing regenerated mixture, building solid waste is used as regenerated aggregate, waste concrete, tiles and the like are converted into high-performance engineering materials through scientific proportioning and a curing process, and the resource utilization rate of the building waste is maximized.