9 results about "Experimental model" patented technology

This invention relates to the field of surface subsidence and deformation technology, and particularly to a method for predicting abnormal surface deformation responses under the coupling of faults and loose layers. This method solves the technical problem of accurately assessing the surface subsidence and deformation patterns caused by coal mining under different geological conditions in existing technologies. The technical solution includes: establishing a three-dimensional numerical model using a Mohr-Coulomb constitutive model and setting the fault zone thickness; establishing eight sets of control experimental models and using the controlled variable method to study the effects of fault dip angle and loose layer thickness; performing simulation calculations by excavating the working face in 13 steps, with each step having a spacing of 30m; and effectively revealing the characteristics of how increasing fault dip angle promotes an increase in the maximum surface subsidence value, and how increasing loose layer thickness leads to an increase in the subsidence value followed by stabilization. This method can effectively assess the abnormal response patterns of surface subsidence and deformation under complex geological conditions.

This invention discloses a modeling method for predicting cucumber photosynthetic rate using a BP (Backpropagation) model that integrates transpiration rate, relating to the fields of smart agriculture and machine learning. The method includes: continuously monitoring the photosynthetic physiology of cucumber plants in the fruiting stage under greenhouse cultivation conditions to obtain photosynthetic monitoring characteristic data; normalizing the photosynthetic monitoring data and dividing it into training and testing sets; constructing an initial BP neural network as an experimental model, using the coefficient of determination, adjusted coefficient of determination, and root mean square error as evaluation indicators to determine the optimal transfer function combination of the hidden and output layers of the experimental model; optimizing the experimental model using Bayesian optimization and five-fold cross-validation with the root mean square error as the optimization objective to determine the optimal hyperparameter combination of the experimental model; and remodeling the experimental model based on the optimal transfer function combination and the optimal hyperparameter combination to obtain a cucumber BP photosynthetic rate prediction model integrating transpiration rate.

This invention discloses a high-temperature and high-pressure micro-displacement method based on an isoporosity dual-pore microfluidic model. Addressing the issues of irreversible diagenesis and the difficulty in obtaining paired samples before and after evolution, a baseline model A and an experimental model B are constructed. Isoporosity constraints are used to eliminate interference from reservoir property differences, enabling a quantitative evaluation of the influence of dissolution pore structure on seepage patterns. The method includes: S1, extracting the primary intergranular pore skeleton and secondary dissolution pore characteristics from typical core thin sections of the same stratum; S2, constructing the baseline model A; S3, embedding dissolution pore units within its topological space and using an equivalent volume compensation algorithm to adaptively scale the intergranular channels to form model B; S4, verifying the porosity accuracy of the completed baseline model A and experimental model to ensure that the pore volume deviation between the two models does not exceed 5%; S5, conducting comparative displacement experiments under real high-temperature and high-pressure conditions.

This application discloses a method, apparatus, equipment, and medium for assessing the cumulative damage to transformer coil turn insulation strength, relating to the technical field of insulation degradation analysis. This application establishes a database of the correspondence between the compressive stress of transformer coil turn insulation and the number of damaged insulation paper layers based on a preset experimental model. The preset experimental model includes experimental models between conductors and between conductors and pads. The compressive stress of each coil coil section is calculated based on the transformer type when subjected to a short-circuit fault current impact. The database of the correspondence between the compressive stress of the transformer coil turn insulation and the number of damaged insulation paper layers is queried based on the compressive stress to obtain the cumulative total number of damaged insulation layers for each coil section. The cumulative damage state of the transformer coil turn insulation is assessed based on the cumulative total number of damaged insulation layers, achieving early warning and predictive defense against latent faults in transformer coil turn insulation, solving the problem of difficulty in early detection of inter-turn short circuits, and improving the reliability and safety of transformer operation.

The application discloses a kind of steel bridge deck pavement layer performance test methods considering bridge vibration, comprising: S1: the dynamics characteristic analysis is carried out to bridge prototype, obtains the inherent frequency of its first two orders with vertical bending deformation as main;S2: prepare deck pavement composite structure test piece according to the bridge to be researched;S3: establish double degree of freedom lumped mass-spring equivalent model, and define the coupling stiffness of equivalent model horizontal direction and vertical direction support stiffness;S4: with the frequency matching equation is established and is solved, determine the coupling stiffness and support stiffness of experimental model;S5: according to coupling stiffness and support stiffness build physical experimental model;S6: dynamic excitation is applied while synchronously collecting dynamic response data, and based on dynamic response data evaluates the dynamic response and performance under bridge vibration environment.The application solves the technical defects that traditional pavement paving experimental method is disjointed with bridge actual service condition, more truly simulates the response of pavement layer in whole bridge vibration.

The application discloses a kind of different scale model impact environment equivalent effect evaluation method and system, comprising: the similarity law of underwater explosion is derived by dimensional analysis, the relationship of shock wave pressure, energy impulse, energy density and charge mass and blast center distance is established.Based on Hopkinson similarity law, a scaled experimental model is designed, and nonlinear scaling optimization is carried out.The application has the advantages that: by dimensional analysis and similarity law, the relationship between the model and the actual environment is accurately established.Using Hopkinson similarity law and nonlinear scaling, the reliability of the model response is ensured.The technical obstacles of data integration and sharing of different scale models are effectively solved.Provide scientific and reliable technical support for engineering design and environmental assessment.

This invention provides a method for predicting the effective area of ​​natural ventilation in elevated waiting halls of railway stations. The method includes: extracting multiple spatial patterns of elevated waiting halls in railway stations; constructing a natural ventilation simulation experimental model; calculating the actual value of the effective area ratio of natural ventilation in the natural ventilation simulation experimental model; obtaining a dataset; the dataset represents the opening type expression corresponding to the natural ventilation simulation experimental model; constructing a natural ventilation prediction model; training and optimizing the model using a training set; inputting a test set into the final optimized model to obtain the predicted value of the effective area ratio of natural ventilation in the test set; and evaluating the model performance based on the predicted and actual values ​​of the effective area ratio of natural ventilation in the test set. This invention, with natural ventilation performance as its objective, establishes a natural ventilation prediction model suitable for elevated waiting halls, predicting the effective area ratio of natural ventilation in elevated waiting halls of railway stations under various opening types and location combinations, significantly improving prediction accuracy and efficiency.