677 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 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 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 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 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 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 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.

The invention relates to the technical field of railway subgrade engineering, and discloses a long-term settlement prediction method and system for a ballastless track subgrade of a high-speed railway, and the method comprises the steps: determining the relational data of the cumulative plastic strain of subgrade filler and the cyclic dynamic load action frequency; establishing a cumulative plastic strain prediction empirical model; carrying out numerical simulation on long-term settlement of a target roadbed by enabling the cyclic load action times to be equivalent to a time measurement unit and enabling accumulated plastic strain to be equivalent to static creep, and constructing a track-roadbed finite element model and a train-track multi-body dynamic model; carrying out joint simulation by utilizing iterative calculation to establish a train-track-roadbed coupling dynamics numerical simulation model; the train speed, the operation time, the initial moisture content of the roadbed and the number of times of humidification are substituted into the train-rail-roadbed coupling dynamics numerical simulation model to calculate the vertical deformation of the top face of the roadbed, and the long-term settlement evolution law of the target roadbed is predicted based on the vertical deformation of the top face of the roadbed.

The invention discloses a highway roadbed construction quality early warning method and system based on multi-modal data, and belongs to the field of construction quality control, and the method comprises the steps: obtaining multi-modal construction data, and carrying out the time-space alignment and feature fusion processing, generating a spatio-temporal data tensor representing the states of the plurality of discrete grid units under the continuous time step length; inputting the spatio-temporal data tensor into a preset deep learning prediction model, wherein the deep learning prediction model comprises a spatial feature extraction module and a time-dependent modeling module which are connected in series; extracting a convolutional neural network through a spatial feature extraction module; processing a time sequence of the local spatial correlation characteristics through a recurrent neural network of a time-dependent modeling module; predicting and outputting a future quality index for at least one target grid unit in the plurality of discrete grid units; and an instruction for performing process control on subsequent construction is generated. According to the invention, refined guidance of the construction process is realized.

The invention relates to a seepage-erosion-induced high-speed rail roadbed subsidence simulation test system and method. The system comprises a test module, a loading module, a water supply module and a measurement module. The test module comprises a model box and a roadbed layered structure, and the roadbed layered structure is laid in the model box; the water supply module is used for providing a water source for the roadbed layered structure, adjusting water pressure and collecting lost particles of the roadbed layered structure; the loading module comprises a high-frequency actuator and is used for applying a vibration load to the roadbed layered structure; the measuring module is arranged in the roadbed layered structure and used for monitoring test parameters of the roadbed layered structure. Compared with the prior art, the device realizes roadbed internal change analysis under high-frequency load and seepage coupling, and has the advantages of high test accuracy, high authenticity and the like.

The invention is a system and method for repairing, improving, and stabilizing subgrade and subsoil / natural ground layers of a rail bed generally consisting of softer soils. One embodiment includes a method of installing subsurface inclusions and ballast fills comprising injected slurry mixtures of stabilizing material such as cement grout mixed with in situ soil. Another embodiment includes a system of installed ground inclusions and ballast fills. Another embodiment includes an integrated system of equipment for emplacing the system of inclusions and ballast fills.

The invention provides a grouting diffusion three-dimensional monitoring system and method and a medium, and relates to the technical field of railway roadbeds, and the system comprises an acquisition module and a data processing module; the acquisition module is used for acquiring apparent resistivity corresponding to a grouting diffusion area in a railway roadbed in parallel; and the data processing module is connected with the acquisition module and is used for performing forward modeling and inversion according to a preset geoelectric model and the apparent resistivity to obtain a three-dimensional apparent resistivity map representing the grouting diffusion range. Thus, on one hand, the collection efficiency of apparent resistivity is improved, on the other hand, a three-dimensional apparent resistivity map can be obtained, three-dimensional real-time monitoring of the slurry flow path, the flow range, the spatial and temporal distribution and the occurrence state in the grouting process is achieved, the slurry diffusion condition is accurately and visually reflected, and the grouting quality is improved. And a basis is provided for grouting reinforcement mechanism research, technical development and scheme optimization.

A subgrade compaction pit soil-sampling device, comprising a frame (1) for providing support, upper and lower ends of the frame (1) being each provided with a cover plate (7), and a through hole being formed in the middle of each cover plate (7); a plurality of guide rails (4) arranged in the frame (1), two ends of each guide rail (4) being respectively connected to the upper and lower cover plates (7); a frame bucket (2) arranged at the bottom of the frame (1) and enclosing the bottom of the frame (1), the frame bucket (2) engaging with the lower cover plate (7) to form a cavity for accommodating subgrade soil extracted by a soil-sampling device; and the soil-sampling device (3) mounted on a guide rail plate (5), the guide rail plate (5) being cooperatively connected to the plurality of guide rails (4). A mechanical rotary drilling method is used to perform deep pit drilling of the subgrade, achieving high drilling efficiency, and after the drilling is finished, the soil can be extracted by reverse drilling, providing a convenient soil-sampling method.

The invention relates to the technical field of building construction, and provides a foam light soil construction method and a roadbed structure, the construction method comprises the following steps: excavating a foundation pit, cutting a slope at an old road slope on one side of an original roadbed, and digging steps and a base; a baffle is vertically arranged, a baffle foundation is poured on the other side, opposite to the steps, of the foundation pit, the baffle is vertically arranged, and a filling area is defined; and layered filling is conducted, specifically, after the baffles are erected, foam light soil is filled into the filling area in a layered mode based on the height of each filling layer. Through the arrangement, the vertical additional stress of high fill construction on a foundation can be remarkably reduced, the post-construction settlement problem caused by overlarge self weight of a traditional material is effectively relieved, meanwhile, due to the characteristics that the foam light soil is high in flowability and can be used for pumping construction, the operation process is simplified, dependence on large-scale compaction equipment is reduced, the construction period is shortened, and the construction cost is reduced. The environmental influence and the cost caused by excavation and transportation of earthwork are reduced, and the reliability and the economical efficiency of roadbed widening engineering are realized.

The invention discloses a railway roadbed settlement prediction method and system, and belongs to the technical field of railway engineering. According to the method, basic data such as a roadbed structure, filler parameters, geological conditions and historical monitoring data are collected, a differential prediction model is matched according to roadbed strength grades, risk grading and monitoring resource dynamic allocation are carried out after parameter optimization and multi-index precision evaluation, and iterative optimization is realized based on an empirical database. The system comprises a data acquisition module, a model matching module, a settlement simulation module, a precision evaluation module, a post-processing module and a data storage module, and all the modules cooperate to achieve full-process automation. According to the method and the system, the problem of insufficient adaptability of a traditional single model is solved through accurate model adaptation, the prediction efficiency and the data reliability are improved by means of automatic processing, the safety and the cost are balanced through risk hierarchical management and control, and the adaptability of the system to complex working conditions is continuously enhanced through an iteration mechanism.

The invention discloses a reconstruction and extension subgrade settlement analysis method and system, and the method comprises the steps: obtaining the subgrade height data of each monitoring point at an initial moment, carrying out the road division according to a preset height threshold value, and obtaining a plurality of reconstruction and extension subgrade sections; clustering is carried out according to the lengths of the sub-road sections, and a first target reconstruction and extension sub-roadbed section and a second target reconstruction and extension sub-roadbed section which are farthest from each other are selected in a set; acquiring first settlement data and second settlement data of each monitoring point position in the first target reconstruction and extension subgrade section at the current moment; determining a settlement variable quantity between the first settlement data sequence and the second settlement data sequence, and judging whether the settlement variable quantity is greater than a dynamic preset threshold value or not; and if the settlement data is not greater than the dynamic preset threshold value, acquiring other settlement data of each monitoring point position in other target reconstructed and expanded subgrade sections at the current moment. According to the invention, the accuracy, reliability and efficiency of settlement analysis are improved, and intelligent risk assessment is realized.