16 results about "Finite element stress analysis" patented technology

The invention provides an air-jet loom rack structure optimization method based on a BESO method, and relates to the field of air-jet loom design, and the method comprises the following steps: S1, building a three-dimensional model of an air-jet loom rack, and setting material parameters, grid division, load application and boundary conditions; s2, setting an objective function, BESO parameters and volume constraints; s3, finite element stress analysis is carried out, and a weak area of the air jet loom rack structure is found; s4, constructing a weight distribution model, and dividing an optimization region; s5, performing BESO optimization iteration according to the weight distribution model; s6, when the preset optimization target and constraint conditions are met, the optimization process is stopped, and a final air jet loom rack optimization model is obtained. According to the method, the rigidity priority in the specific direction is strengthened by building a directional flexibility objective function, different optimization areas are divided in combination with a weight distribution model, efficient lightweight and dynamic stability collaborative optimization of the air jet loom rack structure is achieved, the rigidity of the air jet loom rack is improved, the weight of the rack is reduced, and the stability is improved.

The invention belongs to the technical field of bridge maintenance, and discloses a machine vision and digital twinning combined remote repair welding repair method and system for a cracked steel bridge structure. A transmission steel bridge maintenance method mainly depends on manual detection and field repair, and has many limitations in practical application and is difficult to meet bridge maintenance requirements. The method comprises the following steps: acquiring steel bridge data through a detection robot to identify a steel bridge crack, generating a three-dimensional model of the steel bridge crack based on the steel bridge crack data, performing finite element stress analysis, generating a crack welding strategy, and issuing the crack welding strategy to a welding robot to execute a welding action; further dynamically mapping the welding information to the three-dimensional model of the crack, fusing the three-dimensional dynamic model of crack repair into a VR operation interface, and monitoring the welding process of the welding robot through the VR operation interface; and finally, the welding robot detects the repair integrity of the steel bridge crack, and the repair integrity information is updated to the three-dimensional dynamic model of steel bridge crack repair.

The invention relates to the technical field of data processing, and discloses an ocean net cage structure determination method based on simulation optimization. The method comprises the steps that ocean current, wave and water depth data are collected through an ocean environment sensor, and a standardized parameter set is obtained through preprocessing; constructing a net cage load calculation model, and carrying out finite element stress analysis; calculating a stability index based on stress distribution, and establishing a constraint condition; establishing a multi-objective optimization function, and considering cost and strength parameters; performing global optimization by adopting a genetic algorithm to generate a candidate scheme library; and optimal parameters meeting the bearing capacity and economical efficiency requirements are screened, and a final net cage structure configuration scheme is determined. According to the method, global multi-objective optimization of the net cage structure parameters under the complex marine environment condition is realized, so that the optimal net cage structure configuration scheme meeting the requirements of structure safety, economy and engineering practicability at the same time is obtained.

The invention discloses a strike-slip fault zone activity ability evaluation method based on a finite element method, and the method comprises the steps: determining the three-dimensional space distribution characteristics of a strike-slip fault zone, determining the evaluation range of the activity ability of the strike-slip fault zone, determining the ground stress state of a research region, carrying out the finite element stress analysis, and carrying out the simulation data of the ground stress distribution, thereby achieving the evaluation of the activity ability of the strike-slip fault zone. The method comprises the following steps: calculating the acting force of different parts of a strike-slip fault zone, calculating two parameters for evaluating the activity capability of the strike-slip fault zone, optimizing the data distribution range of the two parameters according to the strike-slip fault zone activity capability evaluation threshold values of the two parameters, and screening the data capable of being used for evaluating the activity capability of the strike-slip fault zone by utilizing a cumulative multiplication method, so as to evaluate the activity capability of the strike-slip fault zone. The invention relates to a method for finely evaluating active parts of strike-slip fault zones and activity of different parts. According to the method, the activity capability difference of different parts of the strike-slip fault zone can be quantitatively judged, and an effective scheme is provided for professional technicians for researching activity capability evaluation of the strike-slip fault zone and well location deployment.

The invention discloses a power control cable core straightening construction method, a medium and equipment. The method comprises the following steps: S1, collecting data; s2, optimizing a path; s3, multi-axis linkage control is carried out; s4, closed-loop feedback is carried out; according to the invention, full-dimensional real-time monitoring of the spatial attitude, strain distribution and vibration frequency of the wire core is realized through the multi-dimensional sensing array; generating a straightening track with optimal stress constraint and energy consumption based on a dynamic programming algorithm; the Jacobian matrix inverse solution is used for driving a multi-axis execution mechanism to complete high-precision self-adaptive loading; process parameters are dynamically corrected in combination with fuzzy PID control, and finally, the straightening precision of the cable core can be improved, the energy consumption is reduced, and the material damage rate is reduced; and a prediction model, fractal defect quantification, eddy current impedance detection, finite element stress analysis and a game scheduling model are further integrated to form a sensing-decision-execution-verification full-closed-loop intelligent straightening system, so that the adaptivity and reliability of the process are remarkably improved.

This application provides a structural optimization method and system for slicing materials specifically designed for 3D-printed eyeglass frames. The method includes: performing finite element stress analysis and extracting continuous stress field data and principal stress directions; calculating dimensionless stress parameters using the continuous stress field data to divide the model's interior into different stress zones and match them with different unit cell types; adjusting the rotation angle and aspect ratio of the unit cells in real time based on the principal stress directions and stress ratios to generate a stress-adaptive internal lattice structure; performing differential geometry analysis on the surface of the 3D eyeglass frame model to construct a comprehensive curvature threshold function and generate a support structure; searching for optimal structural parameters through Pareto front analysis; and integrating the internal lattice structure, support structure, and structural parameters to generate slicing data and plan the printing path. This application optimizes the load-bearing efficiency of the eyeglass frame structure and improves the specific strength of the material.

The invention discloses a finite element stress analysis and prediction method and system, and relates to the technical field of finite element modeling of buildings, and the method comprises the following steps: generating a stress analysis calculation model and a stress prediction model of a structure through ABAQUS software, and exporting a corresponding odb file; outputting a stress analysis AVI video file of each time stage through a Python program; synchronously inputting the stress data and the environmental parameters into a stress prediction calculation model; outputting a prediction result picture in a tiff format, converting the prediction result picture into a prediction result picture in a jpg format through an ImageMagick tool, and storing the prediction result picture in a server; the stress analysis AVI video file and the prediction result picture in the jpg format on the server are inquired through the platform, and are visually presented on a display page; according to the invention, the health degree of the current building structure safety can be visually known, hidden danger problems can be conveniently checked, the manpower monitoring cost is reduced, and the efficiency of building maintenance work is improved.

The invention relates to the medical field of 3D printing. The invention aims to provide a skull protective cap preparation method based on finite element stress analysis. The skull protective cap preparation method comprises the following steps: S1, acquiring preoperative and postoperative skull three-dimensional models of a patient; s2, generating a corresponding NURBS curved surface model; s3, cutting the protective cap model; s4, aligning the cut protective cap model to the postoperative cranial three-dimensional model; s5, generating a cushion model according to the form of the annular gap; s6, performing finite element stress analysis on the three-dimensional model set of the skull pad cap; and S7, forming is conducted in a 3D printing mode. According to the method, the protective cap structure better matched with the physiological parameters of the patient can be constructed in a model reconstruction mode relying on the data of the patient, and precise customization is achieved. By performing finite element analysis on the model, whether a cushion needs to be added under the protective cap or not and parameters of the cushion need to be added are scientifically and accurately determined, and a foundation is laid for subsequent scientific decision making.

The application discloses a method for evaluating damage tolerance and residual life of a track element at a non-wheel-rail contact position of a turnout area, obtains a sample material of a non-wheel-rail rolling contact area of a turnout track element, and obtains crack propagation data of the sample material through testing to fit Paris formula parameters. Then, finite element stress analysis of the turnout track element is carried out, the result file is imported into crack analysis software, and a crack is inserted at the non-wheel-rail rolling contact position of the track element to obtain a crack analysis model of the non-wheel-rail contact position part of the turnout track element. Finally, crack propagation simulation is carried out, the formula parameters are imported into the crack analysis software, and crack propagation simulation is carried out to obtain a calculated life. Indoor full-scale model verification is carried out, the calculated life is compared with an actual life, and it is confirmed whether the parameters and the model are accurate. If the parameters and the model are accurate, residual life of the turnout track element at the non-wheel-rail contact area is evaluated according to the model and the parameters. The application can save maintenance costs based on damage tolerance and residual life, and better guarantee the safety of railway operation.

The present invention proposes a method for optimizing the frame structure of an air jet loom based on the BESO method, which relates to the field of air jet loom design and includes the following steps: S1. Establishing a three-dimensional model of the air jet loom frame, setting material parameters, meshing, applying loads, and boundary conditions; S2. Setting the objective function, BESO parameters, and volume constraints; S3. Performing finite element stress analysis to identify weak areas in the air jet loom frame structure; S4. Constructing a weight distribution model to divide the optimization regions; S5. Iterating BESO optimization based on the weight distribution model; S6. When the preset optimization objectives and constraints are met, the optimization process stops, resulting in the final air jet loom frame optimization model. By constructing a directional flexibility objective function to prioritize stiffness in a specific direction and combining the weight distribution model to divide the optimization regions, the method achieves coordinated optimization of the air jet loom frame structure's efficient lightweighting and dynamic stability, thereby improving the stiffness, weight, and stability of the air jet loom frame.

The invention discloses a three-dimensional reconstruction method fusing multi-dimensional physical space information, and belongs to the technical field of three-dimensional reconstruction in computer vision. According to the method, through cooperative work of six modules including a multi-view data preprocessing module, a semantic mask denoising module, a multi-modal feature extraction and coding module, a physical space matching module, a finite element stress analysis module and a visual interaction module, the process from multi-view data preprocessing to multi-dimensional physical space information reconstruction and visualization in three-dimensional modeling is achieved. The method comprises the following steps: firstly, generating an initial point cloud by using a multi-angle image, and extracting semantic masks of a main body and an accessory component through semantic segmentation and mask denoising; then, features such as materials and pH values extracted by a visual language model (VLM) and stress information obtained through finite element analysis are fused, a 32-dimensional feature vector with multi-dimensional physical space information is constructed and embedded into a Gaussian point set, and finally a three-dimensional reconstruction model with the multi-dimensional physical space information is achieved. According to the method, unified coding and visual display of multi-dimensional physical space attributes are realized in the 3D-GS model for the first time, and the method has high efficiency, expandability and good visual interaction capability and is suitable for the fields of digital twinning, smart industry and the like.

The present invention belongs to the technical field of computer-aided design, and provides a design method and system for a lifting and moving device. The method comprises the following steps: performing finite element stress analysis on the lifting and moving device; calculating weak stress areas in each stress sub-area; marking weak stress areas on a three-dimensional model of the lifting and moving device as areas to be reinforced, and obtaining an optimized design three-dimensional model of the lifting and moving device with areas to be reinforced marked; intelligently marking weak stress areas on the lifting and moving device that include stress points that can balance stress in the horizontal direction, and strengthening the weak stress areas in subsequent manufacturing to enable the lifting and moving device to balance stress in the horizontal direction, thereby avoiding deformation of the lifting and moving device during operation, and enabling the hoisted building truss structure to be accurately positioned.

The invention provides an intelligent self-adaptive freezing pipeline pre-integration system, and relates to the technical field of building environment and energy application engineering. The intelligent self-adaptive freezing pipeline pre-integration system comprises the following modules: a structure design module, a fluid simulation module, a material optimization module, an intelligent alignment module, an energy recovery module, a heat management module and a prefabricated integration module. And the structure design module is used for optimizing the geometric parameters of the ripple compensation structure by adopting a multi-target genetic algorithm based on the pipeline installation error statistical data, analyzing and verifying the structural strength through finite element stress, and generating a three-dimensional ripple structure parameter set. A multi-target genetic algorithm is combined with finite element stress analysis to optimize ripple geometric parameters, the axial compensation amount is improved to + / -20mm on the premise of ensuring the structural strength, the compensation capability is improved by 40% compared with that of a traditional empirical design method, a k-omega SST turbulence model and a particle image velocity measurement technology are adopted for collaborative verification, the flow field simulation precision is improved to 92%, and the flow field simulation precision is improved to 92%. And the pressure drop calculation error is controlled within + / -3%.

This invention provides a 3D-printed concrete retaining wall based on an automatic feedback mechanism, comprising: a layered printing structure formed by stacking multiple layers of concrete material, each layer being 8-15 mm thick; a retaining wall base, wherein the retaining wall base is a C30 concrete base; an optimized irregular path, a printing trajectory generated based on finite element stress analysis to maximize the stress concentration factor inside the retaining wall; a composite material protective layer, disposed on the surface of the layered printing structure, the composite material protective layer containing uniformly distributed fiber reinforcement material, the fiber composite material being added to the 3D-printed concrete at a ratio of 0.5%-1%; drainage pipes, disposed in the layered printing structure and the composite material protective layer; and an embedded sensor network, distributed in key stress areas within the retaining wall, to monitor stress, temperature, and humidity data in real time. This invention dynamically adjusts the printing path based on feedback during the printing process, reducing the cracking rate, minimizing material waste, and improving construction efficiency by reducing manual intervention through automated control.

The present application relates to the technical field of aero-engine probability damage tolerance evaluation, and particularly relates to a triangular quadrilateral two-dimensional hybrid grid stress partitioning method for aero-engine wheel disc, comprising the following steps: obtaining finite element stress analysis result data of the wheel disc component, preprocessing, and obtaining preprocessed input data; obtaining a convex hull boundary formed by all nodes by using the Graham method, and obtaining a graph boundary based on the convex hull boundary; obtaining stress pre-grouping and element type pre-grouping of each grid element; establishing an element adjacency graph based on the adjacent relationship of each grid element; searching the element adjacency graph by using a breadth-first search algorithm, and dividing grid elements with the same stress pre-grouping and the same element type pre-grouping into the same partition; and finally obtaining partition numbers of each grid element as the wheel disc stress partitioning result; the present application can improve the calculation accuracy and efficiency of the wheel disc stress partitioning.

The application provides a robot head appearance digital adaptive customization generation method and system, the system is based on robot head three-dimensional data, designs data pretreatment, feature recognition, parameterized modeling, multi-constraint optimization, structure reinforcement, interface generation, standardized whole-process automation link of production output, each function module of the modular system is uniformly scheduled by a processor unified scheduling module, the core of the method realizes micron-level accurate adaptation of the appearance model and the head surface through multi-constraint surface adaptive iterative optimization, the durability of the appearance part is improved through finite element stress analysis and targeted structure reinforcement, the fusion of individualization and scaling is realized through whole-process standardization and parameterized modeling, and the technical problems of insufficient accurate adaptation of the appearance of the robot head and the head surface, lack of automatic customization process and poor structure reliability of the appearance part are solved.