72 results about "Fe model" patented technology

The invention relates to the technical field of project cost progress management control methods, in particular to a project cost progress management control method and system. Comprising a multi-dimensional data integration and simulation deduction module, an intelligent early warning and dynamic decision module and a block chain collaboration and knowledge evolution module. Through the unique coding rule, the engineering quantity list, the material price, the labor cost and the model component are dynamically associated, the construction progress plan is embedded in the BIM model, the 4D construction animation is automatically generated, the resource demand peak value of each time period is counted, the resource conflict is identified in advance, and the component coding integrity and the cost parameter logicality are automatically verified through the attribute checking tool. And the manual auditing time is reduced.

The invention discloses a cable-stayed bridge tension and compression support service life evaluation method and system under random traffic flow load, and belongs to the field of bridge engineering and structure health monitoring, and the method comprises the steps: carrying out the statistical analysis of traffic load data, building a random traffic flow load model, and generating a load spectrum; correcting stay cable force and modal frequency based on bridge monitoring data, and constructing a refined multi-scale finite element model; a unit fatigue vehicle load is applied to the model, a stress influence line is obtained, a rain flow counting method is adopted to calculate stress amplitude, cycle index and average stress, the stress amplitude, the cycle index and the average stress are converted into daily average equivalent stress amplitude and equivalent daily cycle index through a fatigue damage equivalence principle, and the fatigue life of the tension-compression support is evaluated by utilizing a Miner criterion. According to the method, the problem that the influence of three-way alternating stress on bolt fatigue damage cannot be accurately reflected in the prior art is solved, the service life prediction precision of the cable-stayed bridge tension and compression support is improved, the damage of the tension and compression support can be early warned in advance, and data support is provided for safe operation and maintenance of the cable-stayed bridge.

The invention provides a deep energy reservoir multi-scale heat-fluid-solid coupling simulation method and system, and belongs to the field of deep energy reservoir numerical simulation. Acquiring spatial distribution characteristics and physical property parameters of different lithologic reservoir media under a micro-scale, and constructing a digital structure model of the reservoir media; a micro-observation action mechanism and a flow mechanism are embedded in the model to obtain a micro-observation numerical model; establishing a mapping relation by solving model structure parameters and physical property parameters of the microscopic numerical model under different thermal-fluid-solid coupling conditions; and on the basis of the mapping relationship, in combination with the macrogeological and engineering data of the target reservoir, establishing a macroscale heat-fluid-solid multi-field coupling control equation and solving, and outputting the multi-physics field response of the target reservoir under the given working condition. According to the method, fine simulation of physical property parameter dynamic transmission and a multi-field coupling evolution process from a micro view to a macro view is realized, and the accuracy and reliability of deep complex reservoir engineering behavior prediction are remarkably improved.

The invention relates to a stress analysis method and system based on a small and medium span bridge steel-concrete composite structure, and belongs to the technical field of stress analysis, and the method comprises the following steps: S1, building a finite element parameterized model of a steel-concrete composite bridge; s2, constructing a slippage effect model of a steel-concrete interface based on the constitutive relationship of the steel-concrete composite bridge; s3, applying a moving load working condition, and dividing a load position of the steel-concrete composite bridge through a dynamic grid; s4, solving and correcting the structural stress of the steel-concrete composite bridge; s5, key section stress distribution of the steel-concrete composite bridge is output so as to identify the maximum tension and compression stress area; the method has the beneficial effects that the dynamic change of the load action can be accurately reflected in the model so as to reflect the stress state of the bridge under the actual traffic load; and an accurate structural stress solution is gradually approximated, and a reliable stress analysis result is obtained by comprehensively considering material characteristics, structural geometrical shapes and load distribution factors.

The invention discloses an urban planning design method based on a live-action three-dimensional simulation system, relates to the technical field of urban planning, and is used for solving the problem of insufficient technology fusion depth in an existing method. Firstly, an initial data set is formed by collecting multi-source city data; performing cross-modal feature extraction and alignment based on a deep learning model to generate a fusion feature vector; constructing a dynamic three-dimensional city model by using the fusion feature vector, and embedding a GIS spatial analysis module to perform preliminary layout simulation; vR interaction logic is injected into the model, user behavior feedback is simulated, and environment influence indexes are calculated; according to simulation results and index feedback optimization planning parameters, multi-technology collaborative decision making is achieved; outputting an optimization scheme and generating a visual report, and supporting real-time iterative updating; according to the method, the technology fusion depth is remarkably improved, the response delay is shortened to millisecond level, the planning precision is improved, the environmental influence evaluation deviation is reduced, and efficient and sustainable urban planning practice is realized.

The invention provides an annotation generation method for a multi-party collaborative design bridge model, a medium and equipment, and the method comprises the steps: obtaining annotation information inputted by an auditor, and the annotation information comprises the opinion content of a part of components in the bridge model; extracting a component number pointed by the opinion content from the annotation information, and determining a target component corresponding to the component number from the bridge model; calling an API (Application Program Interface), and generating an annotation containing corresponding opinion content at a target component in the bridge model; and determining a target designer responsible for the target component based on the component number of the target component, and generating task prompt information to prompt the target designer. According to the scheme, the annotation information of the auditor is automatically analyzed, the component number is identified, the target component is positioned in the model, the API is called to automatically generate the annotation, and the associated designer is determined by using the component number, so that the task prompting function is realized, and the working efficiency of multi-party collaborative design of the bridge model is effectively improved.

The invention discloses a method for setting and controlling a buckle cable adjustment threshold value in large-span arch bridge hoisting construction, which comprises the following steps of: acquiring construction parameters of a current buckle section, and acquiring a corresponding cable adjustment target value; constructing a structural mechanics finite element model of the target buckle cable based on the construction parameters, and introducing a buckle cable multi-harness nonlinear stress mechanism into the model to calculate upper and lower limit thresholds of cable force in the tensioning process; determining an elevation adjustment threshold according to the target axis, the target elevation, the accumulated deviation and the pre-deformation compensation amount in combination with a geometric linear control model; and generating an environmental influence correction coefficient by utilizing construction environmental parameters, and dynamically correcting the cable force and the elevation threshold value to realize real-time updating of the threshold value in the hoisting process. According to the method, the problems of nonlinearity of multiple wire harnesses of the large-span arch bridge buckle cable, high linear sensitivity of the arch rib, remarkable environmental influence and the like are solved, high-precision cooperation of cable force control and linear control is realized, and the safety, controllability and construction efficiency of hoisting construction are improved.

The invention discloses a slope protection drainage reinforcement management system based on cloud computing. Multi-source slope data is preprocessed and then transmitted to a cloud computing module; receiving the processed multi-source slope data, performing filtering processing on the multi-source slope data by using an LMS (least mean square) algorithm, establishing a Transform-XL slope space-time coupling prediction model, introducing a PINN physical information neural network into the model, and embedding physical constraints of finite element analysis into the model for training; inputting the initial multi-source slope data into a slope space-time coupling prediction model for risk assessment; slope protection digital twins are established based on the slope risk assessment state, sensor data and a BIM model are synchronized in real time, the effects of different reinforcement schemes are simulated through HPC cloud high-performance calculation, and a multi-target optimization scheme is generated. The scheme can be dynamically adjusted according to real-time monitoring data, and intelligent and precise management of slope protection drainage reinforcement engineering is achieved.

The invention relates to the field of engineering construction, in particular to a construction cost analysis system and method based on big data. The method comprises the following steps: acquiring multi-modal construction data in a system, sequentially performing data preprocessing and standardization on the multi-modal construction data, aligning texts and numerical values in the initial multi-modal construction data, constructing a knowledge graph by using aligned text numerical value data and image spatio-temporal data, and connecting an LSTM-GRU hybrid network with an HMM hidden Markov model. The method comprises the following steps: establishing a construction cost prediction model, adding a space-time attention mechanism in the model, inputting feature multi-modal construction data into the model for prediction, iterating model training through a PPO algorithm, and carrying out unified scheduling management on materials and manpower in a construction project based on a minimum cost path and a risk plan library. Key space-time regions can be dynamically focused, so that the spatial resolution of a prediction result is improved to a section level, and a basis is provided for accurate scheduling.

The invention provides a method and system for positioning equipment along a linear project, and belongs to the technical field of informatization management. According to plane design parameters and longitudinal section design parameters, a space curve of the linear project is drawn in a BIM model; importing a pile-by-pile coordinate parameter table generated by the space curve of the linear engineering into three-dimensional modeling software, establishing a three-dimensional coordinate system Sxyz in the three-dimensional modeling software, namely, establishing a dynamic coordinate, and realizing mileage data-three-dimensional coordinate conversion through the dynamic coordinate, so as to obtain the mileage data. And meanwhile, the transverse offset distance of the equipment along the line is determined according to the width control curve, and the point P is offset, so that the positioning process of the equipment along the line is more practical, and the positioning precision of the equipment along the line in linear engineering in three-dimensional modeling software is improved.

The application provides an electromigration reliability non-uniform discrete equivalent circuit modeling method and system, adopts an equivalent circuit-based method to analyze electromigration stress evolution of a general complex interconnection structure, fully considers a thermal field effect in a model, realizes stress analysis equivalent circuit modeling under multi-physical field coupling, and solves the problem of waste of computing resources in processing large-span interconnection structures by using a traditional uniform discrete method, avoids unnecessary transient simulation on an immortal interconnection tree, reduces the computing load of full-chip-level analysis, and realizes efficient and high-precision transient analysis of electromigration reliability of a large-scale interconnection network under multi-physical field coupling effects.

The invention relates to a large model compression method based on continuous layer pruning and endpoint tuning, and the method comprises the steps: firstly introducing a learnable continuous interval soft mask, and building a differentiable hierarchical mask mechanism in a model in cooperation with a residual bypass; secondly, by minimizing the KL divergence between output distributions before and after pruning, the optimal pruning starting point and length are automatically learned, and adaptive selection of continuous layer segments is achieved; then, executing physical layer deletion according to the optimized interval parameters, and reconnecting the network structures before and after pruning; and finally, implementing an endpoint tuning strategy, only carrying out all-parameter fine tuning on key layers on two sides of the sheared interval, and recovering the model performance at the lowest calculation overhead. According to the method, through combination of differential interval search and end point directional optimization, accurate compression and high-performance maintenance of the depth dimension of the large model are realized, model storage occupation and reasoning delay are remarkably reduced, the model output reliability in a key task scene is guaranteed, and the method is suitable for large-scale popularization and application. The method is particularly suitable for efficient deployment of the large language model in a resource-constrained environment.

The invention provides a BIM-based fabricated concrete building design method and system, and relates to the technical field of BIM, and the method comprises the steps: monitoring the internal micro-strain data of a concrete building corresponding to a target component in real time in a use stage of the target component; generating a dynamic strain distribution diagram by dynamically mapping the spatial distribution of the micro-strain data; based on historical strain data in a preset association database and real-time strain data in the dynamic strain distribution diagram, the deformation trend of the target component in the next N years is predicted in combination with a time sequence convolutional network, and N is larger than or equal to 3. And according to the deformation trend, adjusting attribute parameters between a target component and an adjacent component in a preset BIM model, and based on the adjusted attribute parameters, generating a reinforcement design scheme for the potential deformation risk in the BIM model. The early warning and prevention and control capability of the long-term deformation risk of the fabricated building node is improved.

The present application relates to the field of engineering construction, in particular to a construction cost analysis system and method based on big data. Through obtaining multi-modal construction data in the system, the multi-modal construction data is sequentially subjected to data preprocessing and standardization, the text and numerical value in the initial multi-modal construction data are aligned, the aligned text numerical value data and image space-time data are used to construct a knowledge graph, an LSTM-GRU hybrid network and an HMM hidden Markov model are connected, a construction cost prediction model is established, a space-time attention mechanism is added to the model, the characteristic multi-modal construction data is input into the model for prediction, the model is iteratively trained through a PPO algorithm, and the materials and manpower in the construction project are uniformly scheduled and managed based on the minimum cost path and the risk plan library. The key space-time area can be dynamically focused, the spatial resolution of the prediction result is improved to the bid section level, and a basis is provided for accurate scheduling.

Embodiments determine properties of a wellbore. One such embodiment obtains, in a memory, properties of a composite material. A wellbore includes the composite material. For each stage of a plurality of stages of a lifecycle of the wellbore, based on the obtained properties, a respective finite element (FE) model representing the wellbore at the stage is constructed. For each stage of the plurality of stages, a simulation is performed using the respective FE model constructed to determine at least one property of the wellbore at the stage.

The invention discloses a shear model box and a test method for simulating a cross-fault of an underground structure, and belongs to the technical field of underground engineering, the model box comprises a fixed foundation fixed on a vibration table, a movable foundation having a gap with the fixed foundation, and a plurality of layers of U-shaped frames stacked on the fixed foundation and the movable foundation, each layer of U-shaped frame is composed of a first U-shaped frame fixed to a fixed foundation and a second U-shaped frame fixed to a movable foundation. The relative position of the two U-shaped frames can be adjusted and locked through the angle adjusting mechanism connected between the two U-shaped frames on the same layer, so that a fault structure with a specific inclination angle is preset in the model. The displacement loading system integrated in the movable foundation can drive the movable foundation to synchronously generate horizontal and vertical displacements to simulate the spatial displacement of the fault. According to the technical scheme, through the synergistic effect of the structures, high-simulation boundary conditions and deformation environments can be provided for a cross-fault underground structure model test.

The invention relates to a gear steel hardenability prediction method based on a fusion model, and belongs to the technical field of gear steel quality control methods. According to the technical scheme, a physical empirical formula model and an XGBoost machine learning model are constructed respectively, and final output is obtained through weighted fusion of prediction results of the physical empirical formula model and the XGBoost machine learning model; performing polynomial feature expansion on the model, adding monotonicity constraint into the XGBoost model, and optimizing the performance of the model through parameter adjustment; and after model training is completed, optimizing and combining the physical formula and the result of the XGBoost model through a weighting parameter alpha. The fusion model formed by the invention not only can ensure the prediction precision, but also can retain the physical interpretation; customized adjustment can be performed according to a specific production environment and alloy components, and the accuracy of gear steel hardenability prediction is remarkably improved by combining priori knowledge of a physical model and the nonlinear modeling capability of a machine learning model.

The invention provides a matching automation and key structural member checking optimization method of a test bench. The method comprises the following steps: S1, carrying out structure module division on a test bench system; S2, constructing a parameter driving model deformation mechanism; S3, establishing an assembly body automatic generation mechanism; s4, naming a surface attribute and a body attribute of the model in the CAD model, wherein the surface attribute and the body attribute are used for identifying an applied load, a boundary condition and a material attribute; s5, constructing a simulation automation process; S6, identifying a weak area of the structure based on a simulation analysis result, and performing optimization; and S7, the optimization process is iterated until the structural strength, rigidity and assembly requirements are met, and a final rack adaptive structure scheme is output. According to the method, efficient design under the requirements of multiple working conditions can be achieved, the design precision and the stability and safety of key structural components are remarkably improved, powerful assistance is provided for design and manufacturing of a test bed, and technical progress and innovative development of related industries are promoted.

The invention relates to the technical field of building information models, and discloses an intelligent holing method and system based on BIM, and the method comprises the steps: presetting a dynamic external expansion value and a sectioning depth of each through-wall part, carrying out the calculation according to the position and size parameters of a wall or a floor, and related pipelines, and carrying out the calculation of a holing position in a BIM model, obtaining a size parameter of each through-wall part in the through-wall part combination, obtaining a hole family in the BIM model, setting the size of the hole family to be greater than the size of the through-wall part and a dynamic expansion value, shearing a wall body or a floor slab based on the hole family, forming a reserved hole in the wall body or the floor slab, generating a section cutting plane according to a preset section cutting depth and the reserved hole after shearing, and selecting and combining the reserved holes to obtain a final reserved hole position, and labeling the final reserved hole position in the BIM model. Intelligent, automatic and prefabricated building hole design is achieved, repeated chiseling and changing in the construction stage are fundamentally avoided, the construction quality and efficiency are improved, and the cost is reduced.

[Problem] To improve efficiency in managing construction progress. [Solution] An in-BIM-model horizontal construction diagram arrangement system for arranging a two-dimensional construction diagram in a three-dimensional BIM model: acquires, in regard to a building of interest, three-dimensional BIM data, attribute information, and a horizontal two-dimensional construction diagram that is a two-dimensional construction diagram in the horizontal direction of the building; aligns the horizontal coordinates, orientations, and scales of the three-dimensional BIM data and the horizontal two-dimensional construction diagram on the basis of the attribute information; and, on the basis of the result of alignment, horizontally arranges the horizontal two-dimensional construction diagram at a position aligned within a three-dimensional BIM model generated on the basis of the three-dimensional BIM data.

The present application relates to a kind of locking tongue modeling method, modeling equipment and readable storage medium.The locking tongue modeling method includes: S1, the model of ordinary tongue is built and is refined in grid;S2, increase simulation locking mechanism on model to generate locking tongue;S3, increase rigid body definition and rigid body conversion control logic in model;S4, import safety belt unit in model, and establish the relationship conversion control logic of contact relationship and bonding connection relationship;S5, implement the static tensile test of locking tongue, obtain locking force-slippage curve;S6, establish force sensor unit in model to activate locking mechanism;S7, build trolley model, verify model.The present application proposes a kind of locking tongue modeling method, modeling equipment and readable storage medium, for establishing locking tongue model, so that the locking force of locking tongue can be correctly reproduced.

This invention relates to a coupled structural loading method based on PepS model fusion. This method connects the pipeline model to be calculated with the main loop model using rigid elements. A dummy constraint point is set in the model to ensure that the geometric properties of the models used for merging remain consistent. By modifying the constraint stiffness of this dummy constraint point in different models, coupled analysis of the main loop dynamic analysis model and the connected pipeline model is achieved in PepS. This invention simplifies the analysis process for pipelines connected to the main loop, making the results of structural simulation analysis more consistent with engineering reality.

Embodiments determine properties of composite materials. One such embodiment obtains, in a memory, an image of a composite material. The obtained image is segmented to identify a plurality of phases in the composite material. Based on the obtained image and plurality of phases identified, at least one transformed image of the composite material is generated indicating change in the plurality of phases identified. For each generated at least one transformed image, a finite element (FE) model is constructed. A simulation of the composite material is performed using each FE model constructed to determine at least one property of the composite material.

The application relates to the technical field of mold design, and discloses a mold conformal runner intelligent optimization design method based on deep learning, which comprises the following steps: acquiring a mold three-dimensional model, extracting a glue position plane, a hollowed-out plane and thickness distribution data, obtaining processed point cloud data, inputting the processed point cloud data into a three-dimensional point cloud convolutional neural network to output a feature semantic graph, inputting the feature semantic graph and cooling parameters into a GNN model, performing mechanical constraint through Kangaroo2 in the GNN model to output a runner guide curve coordinate sequence, obtaining a runner layout based on the runner guide curve coordinate sequence, and analyzing temperature distribution and stress concentration areas in a simulation cooling process of the generated runner layout; and if the simulation result is substandard, dynamically adjusting runner parameters based on a PPO algorithm to output an optimized runner layout. The application significantly reduces the cost of manual intervention, comprehensively improves cooling performance, improves product qualification rate, and has self-adaptive capacity in complex scenes.

This invention provides a non-uniform discrete equivalent circuit modeling method and system for electromigration reliability. It employs an equivalent circuit-based approach to analyze the electromigration stress evolution of general complex interconnect structures, fully considering thermal field effects in the model. This achieves equivalent circuit modeling for stress analysis under multi-physics coupling. Furthermore, by using an adaptive mesh method with non-uniform spatial discretization and a steady-state / quasi-steady-state filtering mechanism, it solves the problem of wasted computational resources in traditional uniform discretization methods when dealing with large-span interconnect structures, and avoids unnecessary transient simulations of immortal interconnect trees, reducing the computational load of full-chip-level analysis. This enables efficient and high-precision transient analysis of the electromigration reliability of large-scale interconnect networks under multi-physics coupling effects.

The invention discloses a heterogeneous graph robust backdoor defense method based on relation perception disturbance, which comprises the following steps: acquiring original node data to construct a relation node type set, and converting the original node data into heterogeneous graph representation; setting an adaptive edge deletion probability for each relation type, generating a disturbance sub-graph and performing prediction, performing statistics on fluctuation conditions of node prediction distribution under multiple disturbances, comprehensively obtaining a node instability score, performing robust statistics, dividing normal nodes and high-risk nodes, constructing a heterogeneous GNN model, and performing robust consistency training by adopting the normal nodes; and performing identification defense on the nodes by adopting the trained heterogeneous GNN model. The invention provides a defense mechanism oriented to a heterogeneous graph multi-relation structure, information loss and detection capability reduction caused by simple'isomorphism 'are avoided, the disturbance intensity can be adaptively adjusted according to the importance and vulnerability of different relation types in the model, and targeted weakening of a potential malicious relation mode is realized.

This invention belongs to the field of metal smelting technology and relates to a method for predicting alloy element segregation in large-scale titanium alloy VAR ingots. The method includes: acquiring VAR furnace structure data; establishing a macroscopic FE model based on the VAR furnace structure data to calculate the ingot temperature field distribution; acquiring microscopic CA grids and state parameters; establishing a microscopic CA model using the CA grids and state parameters to calculate the microscopic solute concentration distribution; mapping the ingot temperature field distribution to the microscopic CA model for FE-CA cross-scale coupling to generate an FE-CA cross-scale coupled model for simulating the VAR process under different process parameter combinations, and generating an optimal process parameter combination with the objective that the maximum segregation degree of the target element should not be less than a preset threshold. This invention simulates the solidification process under different process conditions to predict the occurrence and development of compositional segregation in large-scale VAR titanium alloy ingots, thereby reducing segregation.

The present application belongs to the technical field of geotechnical engineering simulation test, and discloses a water inrush and sand collapse model test device and method containing prefabricated cracks, which comprises a model box and a model. The model is formed by filling and pressing simulation materials in the model box. The model box comprises a back plate, and an excavation simulation extraction plate is pluggably connected to the bottom of the back plate. The excavation simulation extraction plate is extracted to form a free surface at the bottom of the model. A plurality of through holes are formed in the middle of the back plate. A crack prefabricating assembly comprises a rotating disc, a crack extraction plate and a cover plate. The rotating disc is fixedly connected to the crack extraction plate, and the rotating disc is rotatably connected to the through holes. The crack extraction plate is extracted to form a crack cavity in the model. The crack cavity is filled with simulation materials to form a prefabricated crack. The cover plate is used to block the through holes. A plurality of mounting holes are formed in the back plate, and a pressure sensor or a water pipe joint is mounted on the mounting hole. The present application has the technical effect of simulating the crack collapse induced by excavation unloading and monitoring the pressure value change in the whole process of crack collapse.

Embodiments determine properties of a composite material. One such embodiment obtains an image of a composite material in a memory. The obtained image is segmented to identify a plurality of phases in the composite material. At least one transformed image of the composite material is generated that indicates a change in the identified plurality of phases based on the obtained image and the identified plurality of phases. For each generated at least one transformed image, a finite element (FE) model is constructed. A simulation of the composite material is performed using each constructed FE model to determine at least one property of the composite material.

This invention discloses a method and system for optimizing spatial collaborative bearing structure support in coal mine roadways, relating to the field of support parameter optimization technology. The method includes the following steps: collecting geomechanical parameters and constructing a three-dimensional initial geostress field numerical model; reconstructing, in the model, a first bearing structure formed by constrained concrete supports, a second bearing structure formed by high-strength UHPC spray coating, and a third bearing structure formed by grouting anchors and their reinforced surrounding rock, and defining their constitutive relations; applying tunneling disturbance and mining support pressure for simulation and extracting collaborative deformation response data; constructing a collaborative bearing capacity evaluation function to quantify the collaborative working performance of the structure; and optimizing the support parameters using an optimization algorithm, with the goal of maximizing the minimum value of the evaluation function, and outputting the optimal support parameters. This invention, through numerical reconstruction and dynamic collaborative coefficient inversion, achieves quantitative evaluation and parameter optimization of the bearing capacity of the triple structure, improving the stability of roadways in fractured soft rock.