1068 results about "Model test" patented technology

The invention relates to the technical field of dredge pump performance analysis, and discloses a numerical simulation and model test-based dredge pump performance analysis method, which comprises the following steps of: planning an analysis process, and determining numerical simulation (dredge pump internal flow field simulation) and model test contents (actually measured performance data under different working conditions); determining working condition types according to design parameters and working conditions; generating a performance analysis process set and determining an execution sequence; generating a simulation parameter setting list and a test scheme list of each working condition; and associating the data to generate an overall scheme. The method further relates to working condition analysis boundary determination, working condition type subdivision, dynamic adjustment of the process, test rule optimization, database construction and the like. According to the method, comprehensive and accurate analysis of the dredge pump performance is achieved through multi-dimensional data integration and a dynamic mechanism, the analysis efficiency and reliability are improved, and the method is suitable for evaluation and optimization of the dredge pump performance.

The invention relates to the technical field of underground engineering groove wall stability physical simulation, and discloses a model test device and method for stratum excavation and grouting reinforcement, and the model test device comprises a grooving construction module, a grouting support module and a dynamic monitoring module. The device adopts a pressing plate method to simulate a grooving excavation process, so that the device conforms to an actual excavation working condition from top to bottom; a servo motor drives a power lead screw to drive a model groove to move downwards, so that a free face is formed in a sand layer, and the actual excavation working condition is simulated; a water tank for storing fresh slurry is pressurized by using an air compressor, so that the slurry overflows from the hollow model groove section, and the permeation and invasion process of the slurry is simulated; and a water and soil pressure gauge and a matched acquisition device are arranged in the sand layer, and a soil displacement field is obtained by utilizing a particle image velocity measurement system, so that the visualization of the whole process of excavation-grouting-invasion is realized. It is ensured that simulation results are highly matched with actual working conditions, and accuracy and reliability are improved.

The invention discloses a method and a system for predicting the lumpiness of open-air throwing blasting, and relates to the technical field of rock blasting engineering. The invention discloses a new calculation relation about a lumpiness similarity proportion, relates to the technical field of open-air loose blasting mining, and can predict blasting lumpiness of projects such as mines, tunnels and the like by scaling a lumpiness distribution proportion. The method comprises the following steps: firstly, acquiring a rock sample from a blasting site, measuring parameters such as rock density and fracture toughness, and acquiring blasting parameter information of a to-be-blasted area; and then, a numerical simulation model under an open-air throwing blasting similar material is constructed by using a numerical simulation method, the change rule of blasting fragmentation lumpiness along with explosive unit consumption in a scale model test is studied, and the blasting lumpiness in a field blasting area is predicted according to the blasting lumpiness similarity ratio. According to the method, the change rule along with the unit consumption of the explosive is analyzed, the utilization rate of crushing energy of the explosive in surface blasting engineering is improved, reference is provided for blasting lumpiness control, and prediction of field blasting lumpiness before blasting is achieved.

A large-scale underground shield docking model test platform and a test method using the same are provided. The test platform includes a test soil tank, a partition wall, a shield docking model, and a freezing system. The test soil tank is of an underground foundation pit structure, the partition wall is disposed in the test soil tank to separate the test soil tank into a filling area and a non-filling area. The shield docking model is disposed in the filling area and is a reduced-scale test model. The shield docking model is provided with the freezing system, including a refrigeration system, a coolant circulation system, and freezing pipes. The freezing pipes are arranged on the shield docking model and are connected to the refrigeration system through the coolant circulation system. The refrigeration system is placed on a laminate in the non-filling area of the test soil tank.

The invention discloses a multivariate monitoring data fusion method and system for a slope tunnel model test, particularly relates to the technical field of geotechnical engineering physical model test, and aims to solve the problem that dynamic stress waves in an existing model test integrating static and dynamic measurement cause static monitoring signal distortion and further influence the model state evaluation accuracy. Coupling interference in static signals is identified by synchronously collecting dynamic excitation and static response signals; obtaining signal samples before and after a model state sudden change event to perform frequency domain comparative analysis, identifying characteristic frequency components related to sudden change, and evaluating a coupling interference dominant frequency band; separating an effective static response component from the original static signal based on the frequency band; and finally, fusing the effective component with a soil dynamic parameter derived from dynamic excitation to generate comprehensive stability evaluation data. Dynamic interference is effectively suppressed, the authenticity of static signals is improved, and the reliability of model stability state evaluation is improved.

The invention provides a tunnel surrounding rock time sequence deformation monitoring data anomaly detection method and device combined with an LSTM and an auto-encoder, and a medium. The tunnel surrounding rock time sequence deformation monitoring data anomaly detection method combining the LSTM and the auto-encoder comprises the following steps: step 1, cleaning original monitoring data; 2, constructing a data set; step 3, constructing a self-encoding LSTM neural network model; 4, model training; 5, performing model testing and performance evaluation; and 6, deploying the model. According to the tunnel surrounding rock time sequence deformation monitoring data anomaly detection method and device combined with the LSTM and the auto-encoder and the medium, the problem that in existing tunnel automatic monitoring, due to the fact that the data quality is poor and noise is large, traditional threshold value early warning is low in reliability can be solved, the efficient deep learning model is constructed, and the reliability of the tunnel surrounding rock time sequence deformation monitoring data anomaly detection is improved. And automatic and accurate anomaly detection of tunnel surrounding rock monitoring data is realized, so that reliable guarantee is provided for tunnel construction safety.

The embodiment of the invention discloses a model training method and device applied to direct current arc discharge detection. The method comprises the steps of performing at least two times of data processing on first time sequence data and second time sequence data and forming a sample set; selecting an initial neural network model obtained by training the initial sample set as a current detection model, taking the initial sample set as a current test set, and testing the current detection model by using the current test set to obtain a current test output result; and determining a next sample set based on the current test output result, taking a next neural network model obtained by training the next sample set as a current detection model, and taking the next sample set as a current test set for model test until the current test output result meets a preset requirement. According to the technical scheme, the precision and the accuracy of the output model can be improved, so that the accurate detection of the direct current arc discharge of the photovoltaic system is realized, and the safe and stable operation of the photovoltaic power generation system is ensured.

The invention relates to a hydraulic pump motor degradation evaluation method and system based on an LSTM neural network and similarity calculation. The hydraulic pump motor degradation evaluation method comprises the steps that key indexes representing hydraulic pump motor degradation and input parameters influencing hydraulic pump motor working conditions are extracted from test data in different working conditions; selecting and dividing the obtained original test data into a training data set and a test data set; performing normalization and data screening on samples in the training data set to obtain data enhancement samples for model training; samples in the test data set are only subjected to normalization processing and are used for model testing; setting model parameters based on data features, obtaining a volumetric efficiency calculation result, and calculating a root-mean-square error; determining operation conditions of the hydraulic pump motor in the test data, and analyzing change trends of degradation index parameters of the hydraulic pump motor in different time periods; the similarity of the degradation index parameters of the hydraulic pump motor in different time periods is calculated, and the degradation degree is obtained; and respectively multiplying a prediction result of the neural network and a similarity calculation result by a weight coefficient of 0.5 to realize degradation evaluation of the hydraulic pump motor.

The invention discloses an active anti-floating drainage model test device and test method considering saturation change, and belongs to the technical field of active anti-floating of buildings. The test device comprises a boundary model box, a building model box, a plurality of pore pressure sensors, a plurality of dielectric constant sensors, a pressure limiting drainage pipe for simulating active anti-floating equipment in an actual building, a water head control device and a rainfall simulation device, and can simulate a seepage field of an underground space under the condition of active anti-floating measures during rainfall. The drainage condition of the underground space under the condition is reproduced; the pore pressure sensor and the dielectric constant sensor monitor the saturation change of the soil body in real time, the vacancy of the existing test device in the saturation change factor of the soil body is filled up, the drainage condition of the active anti-floating measure and the seepage law of the soil body in the unsaturated-saturated transition process of the soil body under different rainfall and different stratum conditions can be demonstrated, and the test device has a wide application prospect. Scientific basis and data support are provided for optimization application of active anti-floating measures under different saturation working conditions.

The invention relates to a hydraulic tunnel model test device, and belongs to the technical field of pressure test devices in hydroelectric and hydraulic engineering. Multi-directional ground stress is applied through external oil cylinders, wherein the external oil cylinder on the upper portion applies vertical stress to a rock mass similar material layer; horizontal stress is applied through external oil cylinders on the left side and the right side; a clay layer is laid at the bottom, plastic deformation is generated under the action of vertical stress to form bottom ground stress from bottom to top, and full stress field simulation is achieved. The loading process is divided into two stages: firstly, ground stress loading is carried out, vertical stress and horizontal stress are sequentially applied, and a clay layer deforms to ensure bottom stress; and then internal and external water pressure loading is carried out, the external pressure controller simulates surrounding rock water pressure through the external loading membrane bag, and the internal pressure controller simulates water pressure in the tunnel through the internal loading membrane bag. According to the device, the complex stress environment of the deep-buried tunnel is truly simulated by accurately controlling the multidirectional ground stress and the internal and external water pressure, and a reliable test platform is provided for studying the stability of a lining structure.

The invention relates to the technical field of lightning current measurement, in particular to a wireless measurement method for a high tower wave impedance real-model test. According to the technical scheme, the method comprises the steps that a three-dimensional model with the size proportion of 1: 1 to an actual tower is established in simulation software based on structural parameters of the actual tower, and the model is segmented; and applying a standard lightning current signal to the tower top of the three-dimensional model in simulation to obtain a simulation voltage value of each section of tower. A traditional potential line is replaced by the wireless measurement module, coupling interference is eliminated, and the wave impedance measurement precision is remarkably improved; the trigger voltage is pre-judged by adopting sectional type wireless networking and simulation, so that field wiring is simplified, and the test period is shortened; the system is suitable for high-rise towers of different heights and structures, stable data transmission in a complex environment is ensured in combination with a wireless transmission system deployed in a layered mode, meanwhile, the electrical characteristics of the towers under transient lightning current are accurately captured, and a reliable basis is provided for lightning protection design and electromagnetic compatibility optimization.

The invention provides a method and device for an intelligent computing center cloud platform to adjust model training parameters according to computing power operation states, and relates to the technical field of intelligent computing centers, intelligent computing centers and computing power infrastructures. The first working component is a component deployed in a node in the intelligent computing center cloud platform, the target link comprises a data preparation link, a model training link, a model evaluation link and / or a model test link in the first working component, and the target link performs data processing or model training based on preset hyper-parameters; s2, calculating target correction parameters corresponding to the operation related parameters in a preset period based on a preset regulation and control model; and S3, adjusting the preset hyper-parameter based on the target correction parameter to obtain a target hyper-parameter. The computing power utilization rate of the intelligent computing center cloud platform can be greatly improved, and then the model training efficiency is greatly improved.

The method comprises the following steps: obtaining training data of a voice data construction model, preprocessing the obtained training data to obtain original waveform features and multi-scale fundamental frequency features, inputting the features into the model to carry out model training, and obtaining an attention enhancement model; in the training process of the detection model, hyper-parameters of the detection model are set, a loss function is continuously reduced, the trained detection model is obtained when the set training frequency is reached, test data of the voice data construction model are obtained, and preprocessing is carried out to obtain original waveform features and multi-scale fundamental frequency features; the original waveform features and the multi-scale fundamental frequency features are input into a trained model for model testing, in the testing process, a voice authenticity classification result is obtained, the performance of the model is evaluated, and the performance of the detection model can be effectively improved.

The invention discloses a wave-current combined simulation system and method in a low-pressure environment, and relates to the technical field of underwater vehicle hydrodynamic model tests. The defects that in the prior art, sealing and strength are difficult to guarantee in a low-air-pressure environment, and accurate flow velocity and shear gradient control of a multi-layer flow channel cannot be achieved are overcome. According to the technical scheme, the device comprises a low-pressure pool, a plurality of layers of layered water inlet galleries, a plurality of layers of layered water outlet galleries, a rectifying wall, a rectifying baffle, a flow guide grid, a wave absorbing bank, an in-cabin rocking plate type wave maker, a plurality of bottom flow making pump flow making systems, an electric butterfly valve, a high-voltage frequency conversion cabinet, a three-phase asynchronous motor, a gear box, an impeller shaft system and the like. All the devices work cooperatively, and accurate coupling simulation of a multi-layer flow field and high sea condition waves under low air pressure is achieved. The device is suitable for wave-current combined hydrodynamic characteristic simulation and test research of deep-sea navigation bodies and ocean engineering equipment in a low-pressure environment.

The invention relates to the technical field of diffusion testing, in particular to a water-rich sand layer permeation grouting diffusion effective distance formula determination method, which comprises the following steps: building a water-rich sand layer grouting model test platform, carrying out an orthogonal model test by virtue of the test platform, obtaining test data, and determining the effective distance of permeation grouting diffusion of a water-rich sand layer according to a dimensional analysis theory in combination with the test data of the orthogonal model test. Deriving a calculation formula of the permeation grouting diffusion distance of the water-rich sand layer, drilling holes at different diffusion distances of a stone body formed in the grouting test platform to obtain a stone body rock core, and constructing a relational expression between the slurry filling rate and the actual diffusion distance of the corresponding slurry according to the slurry filling rate in the drilled core at different positions; and the corresponding diffusion distance is obtained through the relational expression of the grout filling rate and the corresponding diffusion distance, the corresponding diffusion distance is compared with the actual diffusion distance of the grout to obtain a reduction coefficient, and the reduction coefficient is substituted into the calculation formula of the permeation grouting diffusion distance of the water-rich sand layer to obtain the calculation formula of the effective permeation grouting diffusion distance of the water-rich sand layer.

The invention discloses a hydrothermal coupling model test system and a hydrothermal coupling model test method for simulating a liquid nitrogen frozen stratum in different seepage environments. The system and the method are used for experimental research of a multi-physical field coupling effect of a test object in a large-seepage liquid nitrogen frozen stratum. The model test system comprises a liquid nitrogen freezing system, a flowing water seepage circulation system and a monitoring system, the liquid nitrogen freezing system is used for controlling the temperature of a liquid nitrogen freezing pipe embedded in a sand layer by changing the liquid nitrogen flow, so that the test sand layer is quickly frozen; the flowing water seepage circulation system simulates different underground water seepage speeds through a pressure pump, and the temperature of test water is kept constant through a heating rod. The monitoring system is used for recording the change trend of the temperature field and the seepage field in the liquid nitrogen stratum freezing process. According to the device, the ultra-low temperature effect of the liquid nitrogen is utilized to perform top-speed freezing on the sand layer under the high-flow-speed seepage environment, so that the freezing curtain can be effectively closed, and the evolution law of a large-seepage-flow stratum liquid nitrogen artificial freezing temperature field and a seepage field is obtained by simulating the liquid nitrogen stratum freezing process under different seepage environments; and a basis is provided for manual liquid nitrogen freezing construction of the large-seepage stratum.

The invention discloses a multi-parameter distortion compensation method for a fractured rock mass seepage similar model test, and relates to the technical field of rock mass engineering physical model tests. The method comprises the following steps of: firstly, determining two constraint conditions that the fluid property is invariable and the gravitational acceleration is invariable, correspondingly selecting a basic physical quantity and extracting a core criterion; then analyzing three types of distortion sources of geometric dimensions, dielectric materials and boundary conditions, and establishing a distortion function according to result parameters of seepage flow velocity, seepage flow and seepage pressure; secondly, parameters difficult to control are selected as distortion items, parameters easy to regulate and control are selected as compensation items, the distortion items are substituted into a distortion function to obtain a distortion ratio, the optimal distortion ratio of the compensation items is solved based on a compensation balance formula, and the parameters are adjusted; and finally verifying the interval range of the actually measured distortion ratio. According to the method, the multi-source distortion coupling influence is accurately quantified, the compensation pertinence and precision are improved, operation is easy and convenient, universality is high, and reliable support is provided for underground engineering seepage research.

The invention relates to a locomotive energy consumption prediction model training method and device. The method comprises the following steps: performing correlation analysis on a plurality of locomotive energy consumption influence indexes and sample locomotive energy consumption data, and constructing an acquired sample data sequence based on a correlation analysis result; the method comprises the following steps: performing data preprocessing on an acquired sample data sequence to obtain a model training data set and a model test data set; the whale optimization algorithm is adopted to optimize the initial model for locomotive energy consumption prediction, an optimized model is obtained, the optimized model is trained according to the model training data set, and a locomotive energy consumption prediction model is obtained; the initial model is constructed by combining a bidirectional long-short-term memory network of an attention mechanism; and obtaining an output prediction result based on the model test data set and the locomotive energy consumption prediction model, and carrying out reverse normalization processing on the output prediction result to obtain a test prediction result so as to verify the effectiveness of the locomotive energy consumption prediction model. By adopting the method, the accuracy and effectiveness of the locomotive energy consumption prediction model can be effectively improved.

The present invention relates to a method and system for predicting non - linear wave loads in ship structure design. When constructing the non - linear wave load prediction model STLN, a WLIP network model based on a neural network is constructed by using a numerical calculation data set of the ship to be designed; taking the model test regular wave data set as the target domain, knowledge transfer learning of non - linear wave loads is carried out to obtain a short - term prediction model FTLN for regular waves; for the short - term prediction model FTLN of regular waves, taking the model test irregular wave data set as the target domain, knowledge is transferred again for non - linear wave loads to obtain the non - linear wave load prediction model STLN; when predicting non - linear wave loads, for an irregular wave condition of the ship, the non - linear wave load prediction model STLN is used to obtain the wave load corresponding to the irregular wave condition. The present invention can quickly and accurately predict non - linear wave loads and meet the requirements in the ship structure design stage.

The invention provides a WaveNet-BiLSTM-ATA oil well yield prediction method based on PSO optimization, and the method is characterized in that the method comprises the following steps: 1) collecting oil well time sequence characteristic data; 2) data cleaning and preprocessing; 3) executing data formatting and standardization operation to adapt to model test requirements; 4) dividing a training set and a test set according to oil well models; 5) screening important features of the oil well by adopting an isolated forest and a Pearson's correlation coefficient method, and constructing a daily oil production data set; 6) sequentially inputting the oil well characteristics in the step 5) into a WaveNet module and a BiLSTM module, introducing an ATA mechanism at the same time, and building a prediction model; 7) optimizing model hyper-parameters by using a PSO algorithm; and 8) carrying out grouping performance verification by adopting an independent test, completing model evaluation by calculating MAE, RMSE and MAPE indexes, and outputting a prediction result at the same time. According to the method, the WaveNet local feature extraction capability, the BiISTM bidirectional time sequence modeling advantage and the PSO efficient parameter optimization characteristic are fused, so that a relatively good prediction effect is obtained in a specific oil well test.

The invention discloses a boundary layer cushion block leveling method suitable for a wind tunnel half-mode test, relates to the field of experimental aerodynamics, and aims to reduce interference of wind tunnel wallboards in the half-mode test and improve assembly efficiency. The method comprises the following steps: S1, measuring corresponding data according to an established three-dimensional model of a boundary layer cushion block and a balance adapter; s2, based on the data in the step S1, the sizes of the first tool, the second tool, the third tool and the fourth tool are determined; s3, a corresponding first tool, a second tool, a third tool and a fourth tool are manufactured; s4, a balance adapter is installed in the wind tunnel test section, and a balance is measured; and S5, a leveling tool is used for assisting in leveling of the boundary layer cushion block. By adopting the method, the leveling tool is simple and convenient to apply, measurement parameters are few, and the mounting and leveling operation of the boundary layer base plate is effectively simplified; meanwhile, the leveling precision is high enough, the requirement for the installation precision of the boundary layer cushion block of the half-mold test can be met, and labyrinth groove collision is avoided.

The invention discloses a material point method-based open pile soil plug effect numerical model construction method, which comprises the following steps: carrying out an indoor semi-model tank test by adopting standard sandy soil, and recording data of friction resistance of the inner side and the outer side of a pile, soil stress, soil plug height and a displacement field in a pile sinking process; a geometric model is established based on an indoor model test, numerical simulation is performed by adopting a two-dimensional axisymmetric substance point method in combination with a grid encryption strategy, and data of friction resistance of the inner side and the outer side of a pile, a soil stress field, the soil plug height and a displacement field are obtained; performing comparative analysis on the indoor test data and the numerical simulation result, and if an error meets a preset requirement, confirming the validity of the numerical model; and if the comparison result does not meet the requirement, optimizing the numerical model. The soil plug effect in the pile sinking process can be effectively simulated, the response of the open pile to a stress field and a displacement field of a surrounding soil body can be deeply researched, and a more accurate basis can be provided for structural design and bearing capacity calculation of the open pile.

The utility model provides a test support device mass balancing driving system and a flow field test system. The test support device mass balancing driving system comprises an oil transportation header pipe, two oil transportation branch pipes and an oil return header pipe, each oil conveying branch pipe is connected with the oil conveying main pipe through a first stop valve, and a second energy accumulator is connected to each oil conveying branch pipe; outlets of the two oil conveying branch pipes are respectively communicated with two oil cavities of the hydraulic cylinder; one oil conveying branch pipe is connected with an overflow valve, the overflow valve is connected with the oil return header pipe through a first oil return branch pipe, the other oil conveying branch pipe is connected with the oil return header pipe through a second oil return branch pipe, and a second stop valve is arranged on the second oil return branch pipe. The balancing of the mass of the test model supporting part in the sinking and floating movement process of the flow field test can be realized, and the mass of the test model supporting part does not influence the model test. In addition, by adjusting the pressure of the balance energy accumulator, namely adjusting the pressure of the second energy accumulator, the frequency of balancing motion can be achieved, and broadband quality balancing from low frequency to high frequency can be achieved.

The invention provides a water-rich sand layer permeation grouting model test modeling analysis method, device and system, and belongs to the technical field of grouting model tests.The method comprises the steps that a water-rich sand layer permeation grouting visual simulation device is built; obtaining three-dimensional structure information in the simulation device in the water-rich sand layer permeation grouting test process, and generating time sequence voxel data; extracting features in the voxel data by using a convolutional neural network, and reconstructing a three-dimensional model for the voxel data of each time sequence according to the extracted features; and based on the three-dimensional model of each time sequence, performing quantitative analysis on the slurry diffusion process, and calculating test parameters.

The present invention relates to a thrust and torque measuring device for a model test of a ship. The purpose of the present invention is to provide a self-propelled dynamometer in the prior art in which a thrush and a torque generated on a single rotating shaft connected to a propeller are measured at the same time, resulting in an interference effect occurring between the thrush and the torque, and to provide a self-propelled dynamometer in which the thrush and the torque are measured at the same time, and to provide a self-propelled dynamometer in which the thrush and the torque are measured at the same time, and to provide a self-propelled dynamometer in which the thrush and the torque are measured at the same time. A thrust bearing for rotating while transmitting thrust applied to a shaft to a force cell and a coupling for determining whether or not the alignment state between shafts is abnormal are disposed between the force cell for thrust measurement and the force cell for torque measurement. The interference amount between thrust and torque data is corrected through a data processing board, and whether the shaft alignment state is abnormal or not is judged, so that the interference amount generated when thrust and torque are measured is corrected in a data post-processing mode, and the influence caused by the interference effect is reduced to the maximum extent. Therefore, the thrust and torque measuring device for ship model testing using data post-processing can improve the accuracy and precision of simultaneous measurement of thrust and torque.

The invention relates to a system for testing the spatial distribution state of upward-floating icebreaking loads of an underwater vehicle, and belongs to the technical field of ice pool model tests. Comprising a vertical limb, a horizontal limb, a rigid base and a force transducer, the lower end of the vertical limb is in bolted connection with one end of the horizontal limb, the other end of the horizontal limb is connected with the lower side of the middle of the rigid base, and the rigid base is connected with a model through the force transducer. The device is suitable for various ice pool jacking experiment tests for simulating the upward-floating icebreaking process of the underwater vehicle, the constraint rigidity of each model segment is guaranteed, and synchronous measurement of the upward-floating icebreaking total load and load distribution of the underwater vehicle structure can be achieved; and targeted adaptive design is carried out on different ice water pool environments, so that the sensor array can carry out dynamic measurement under low-temperature water for a long time, and the cost increase caused by overhigh selection standard is also avoided.

The invention discloses a tunnel surrounding rock comprehensive elastic modulus testing method and system based on a surface wave method, and relates to the technical field of tunnel surrounding rock elastic model testing, and the method comprises the steps: collecting surface wave signals through detectors in a plurality of detection holes preset in a tunnel wall on the premise of exciting a seismic source signal; performing signal conversion on each preprocessed surface wave signal to obtain a plurality of first signals of a frequency domain type; performing smooth summation processing on the first signals subjected to the linear dynamic correction processing to obtain an output result; obtaining corresponding surface wave energy data through the output result, and obtaining a corresponding surface wave frequency dispersion curve based on extraction of the surface wave energy data; according to the surface wave dispersion curve, surface wave velocities of different depths in the surrounding rock are obtained through inversion, and the comprehensive elastic modulus of the tunnel surrounding rock is obtained through calculation based on the surface wave velocities; testing is carried out based on a surface wave method, drilling and coring are not needed, and the method has the advantages of high testing efficiency, low cost, small disturbance to surrounding rock and the like.

The invention discloses a ground penetrating radar pipeline intelligent inversion method based on multi-scale deep learning, and belongs to the technical field of ground penetrating radar pipeline data inversion. The method aims at solving the problems that a traditional inversion method is low in resolution, high in calculation complexity, depends on prior information and the like. The method comprises the specific steps that underground simulation model data sets are constructed in batches; forward modeling calculation is carried out based on time domain finite difference, and a matching data pair of the radar B-scan image and dielectric constant distribution is generated; constructing a multi-scale deep neural network comprising a residual attention module, a dual-path space attention module, a multi-scale feature fusion module and a reconstruction module; through end-to-end training and model test optimization, an optimal model is finally stored to realize inversion output from original radar data to dielectric constant distribution. According to the method, through a multi-scale feature extraction and fusion mechanism, the recognition precision of pipelines of different sizes is effectively improved, the inversion efficiency is greatly improved, and an efficient and accurate technical scheme is provided for underground pipeline detection.

The invention relates to the technical field of fishways, in particular to a fishway local section model test method. The method comprises the following steps: S1, drawing up a preliminary design scheme of the vertical seam type fishway; s2, designing a fishway engineering local section physical model based on the preliminary design scheme; s3, carrying out a fishway local section model test, measuring and evaluating fishway parameters, and finding out standard exceeding fishway parameters and reasons for the standard exceeding of the fishway parameters; and S4, after the reasons in the S3 are improved, the steps S2 to S4 are repeated until all the fishway parameters meet the design requirements, and a pool chamber structure recommendation scheme is formed based on the fishway parameters. According to the fishway local section model test method, the fishway section model test is carried out, parameters exceeding the standard are found, then adjustment is carried out, a pool chamber structure recommendation scheme is formed, and a theoretical experiment basis is provided for enabling a pool chamber, located on the upper stream of an eel way, on a vertical seam type fishway to meet the migration requirements of eels and eriocheir hepuensis.

The invention belongs to the technical field of geotechnical engineering test equipment, and provides an energy wall model test device and method.The energy wall model test device comprises a test box, a continuous wall is placed in the test box, the test box is filled with soil, a heat exchange tube is arranged in the continuous wall, and a pressurizing assembly is arranged on one side of the test box and used for extruding the soil into the test box; the first seepage assembly comprises a water tank arranged in the test box, and the side wall, close to the continuous wall, of the water tank is communicated with a plurality of water outlet pieces used for seeping water into a soil body on the side edge of the continuous wall; the second seepage assembly comprises a plurality of sprinkling pipes arranged at the top of the test box, and the sprinkling pipes are used for seeping water into the soil body at the top of the continuous wall; the monitoring assembly comprises a plurality of second temperature sensors and a plurality of pressure sensors, and the second temperature sensors and the pressure sensors are evenly distributed on the side wall of the continuous wall. According to the invention, the influence of soil pressure and seepage working conditions under different burial depths on the thermal performance of the energy wall can be coupled and simulated.