13 results about "Uniaxial tension" patented technology

The present application relates to the technical field of metal matrix composites, and provides a high-throughput modeling and calculation method for metal matrix composites, comprising the following steps: S1: determining the parameters of particles and matrix in different particle reinforced metal matrix composites; S2: establishing brick masonry configuration, multi-core structure and Belytschko configuration based on the parameters of particles and matrix; S3: establishing gradient distribution configuration based on the parameters of particles and matrix, including surface layer hard structure and core layer hard structure and cobweb structure; S4: establishing honeycomb structure, micro-tube structure and uniform structure based on the parameters of particles and matrix; S5: batch setting of boundary conditions required for each model in uniaxial tension, creating and gradually submitting jobs, and automatically extracting parameters including stress-strain curve, stress nephogram and energy release rate at any moment of uniaxial tension. The present application solves the problem of reducing the cost required for exploring high-performance materials in high-throughput modeling and calculation of particle reinforced metal matrix composites.

The invention provides a discrete ballastless track tension-compression fatigue damage rapid calculation method, which comprises the following steps of: uniformly measuring a complex stress state and a simple stress state through a damage energy release rate, and decomposing tension-compression effective stress by utilizing a fourth-order projection tensor, so that the tension-compression effective stress value is equivalent to a uniaxial tension-compression stress value under a uniaxial loading condition; constructing a hyperbolic function with a natural constant as a base and a damage variable as an index on the basis of the damage energy release rate and in combination with three-stage damage characteristics of high-cycle fatigue of the material; carrying out integration on fatigue loading times through tension and compression damage, and deducing to obtain a discrete transcendental differential function of the damage related to the loading times; function variables are defined, an initial value is set, an iteration format is established, the discrete transcendental differential function is solved through a numerical integration method, and a calculation result graph is drawn. The model is simplified, and the calculation efficiency is improved; a high-order tensor stress updating algorithm does not need to be constructed, redundant calculation is reduced, and the data processing efficiency and the calculation speed during parameter analysis are greatly improved.

This invention relates to a method for uniaxial tensile testing using a biaxial tensile testing machine, belonging to the fields of simulation and material forming technology. The method includes: adding a tensile mode to the biaxial testing machine control model, shielding the Y-axis tensile setting to achieve independent X-axis tensile testing; designing the tensile specimen as a dumbbell-shaped specimen with a length of 320 mm, a shoulder width of 63 mm on both sides, and a center width of 50 mm; applying five strain points to the dumbbell-shaped specimen—one in the center and four on the outer edges—arranged in a cross pattern; placing the dumbbell-shaped specimen on the biaxial testing machine to perform a tensile test and plotting the yield surface. This invention uses a biaxial tensile testing machine to achieve uniaxial tensile testing, enabling all basic measurements for yield surface calculation to be completed on a single device, eliminating systematic errors, and improving measurement efficiency and accuracy.

The invention discloses a fiber reinforced composite material out-of-plane uniaxial tension and fatigue test clamping device, and belongs to the technical field of material mechanical property testing equipment.The device comprises a fixing assembly connected with a testing machine and a self-centering assembly connected with a test piece, and the fixing assembly is movably connected with the self-centering assembly; the self-centering device is used for self-centering of direct loading of the test piece. By adopting the clamping device for the out-of-plane uniaxial tension and fatigue test of the fiber reinforced composite material, self-centering of direct loading of a test piece is realized, the accuracy and reliability of a test result are improved, and the test cost is reduced.

The invention provides an in-situ measurement device for hydrogen permeability of a composite material under uniaxial tension. The in-situ measurement device comprises a test stand; the fixed tensile fixture is mounted on the test stand, the fixed tensile fixture comprises a first clamping assembly and a second clamping assembly, and the first clamping assembly and the second clamping assembly are used for clamping the two ends of the to-be-tested sample in the axial direction respectively; the measuring module is mounted on the test stand, the measuring module comprises a first contact assembly and a second contact assembly, the first contact assembly and the second contact assembly are used for being in contact with the two side surfaces of the to-be-tested sample in the horizontal direction respectively, each of the first contact assembly and the second contact assembly comprises a permeation chamber facing the to-be-tested sample, and the permeation chambers are suitable for being filled with hydrogen; the measurement module is configured in a way that after the to-be-tested sample is stretched at a preset temperature, the first contact assembly and the second contact assembly respectively clamp the to-be-tested sample from two sides for sealing, so that a penetration test is carried out. According to the invention, on the basis of in-situ measurement, the accuracy of hydrogen permeability testing can be improved.

The application discloses an elasto-plastic constitutive parameter calculation method, comprising the following steps: S1, performing uniaxial tension experiment, obtaining a true stress-true strain curve of the experiment, and performing intercept processing near the maximum stress to obtain an intercepted curve; S2, based on the intercepted curve, extracting data points according to an equal arc length method, and performing data compression; S3, through a selected elastic model and a plastic model, performing nonlinear analysis on each data point, obtaining the proportion of elasticity and plasticity in the strain increment at each data point, and calculating the true stress-true strain curve of the model. According to the application, data points are extracted according to the arc length, the operation speed is improved under the condition that appropriate data points are selected, the elasto-plasticity of the data points is decomposed, the rationality of the mechanical calculation is ensured, the global optimization of the elasto-viscoplastic constitutive parameter is performed by constructing an optimization objective function, the coordination of the elastic and plastic constitutive parameters is ensured, and the calculation precision is improved.

The application provides a lattice material which expands or shrinks simultaneously under tension and compression, first, the structural response form is converted with the direction of external force by designing the contact mode in the structure, then the stiffness difference between the S-shaped rib plate and the straight rib plate forms two types of lattice materials which can expand or shrink in the transverse direction under uniaxial tension or compression in a specific direction, and the two types of lattice materials can also shrink or expand simultaneously in the orthogonal direction, showing the characteristics of opposite deformation. The structure and material of the application can be used as a specific functional material, and have application prospects in the fields of sensing, energy absorption and shock absorption, wave propagation and mechanical logic control.

The application discloses a micro-magnetic detection method for predicting uniaxial tensile stress and strain based on a convolutional neural network, and relates to the technical field of micro-magnetic detection, which comprises the following steps: vertically attaching a micro-magnetic sensor to the surface of a standard tensile test piece; in the process of a tensile experiment, acquiring micro-magnetic signals of the standard tensile test piece in different states, and simultaneously measuring stress and strain data at corresponding times; processing the micro-magnetic signals to obtain various micro-magnetic characteristic parameters; merging the micro-magnetic parameters and the stress and strain states by aligning the standard tensile experiment of classical mechanics and the time of the micro-magnetic signals to form a multi-micro-magnetic signal data set; based on the multi-micro-magnetic signal data set, adopting a strategy of reducing a learning rate and multiple loss to train a one-dimensional convolutional neural network, and then predicting the corresponding stress and strain of the structure. Therefore, the micro-magnetic detection method for predicting uniaxial tensile stress and strain based on the convolutional neural network can be used to predict the stress and strain curve of a steel structure component subjected to uniaxial tension and containing an elastic segment and a plastic segment.

The application discloses a method for predicting tensile yield strength of magnesium alloy extruded rods in different orientations, and mainly comprises the following steps: establishing a yield strength distribution equation model, testing yield strength in any two orientations, calculating the yield strength distribution equation in a yield space, further calculating the change of the yield strength along the loading direction, and predicting the yield strength. The yield strength distribution equation can be obtained through twice uniaxial tensile tests, and the yield strength of the magnesium alloy extruded rod in different orientations during uniaxial tension can be obtained through further calculation, so that the yield strength of the magnesium alloy extruded rod with strong basal plane texture can be accurately predicted.

The invention relates to the technical field of road engineering asphalt pavement material performance detection, in particular to an asphalt cement anti-cracking performance evaluation method based on asphalt-aggregate constraint simulation, which comprises the following steps: preparing a cylindrical asphalt test piece completely bonded with circular bonding surfaces of a top die and a bottom die; placing the test piece at a preset temperature, and keeping the temperature constant until the temperature is uniform and stable; mounting the test piece subjected to heat preservation on a tensile testing machine, performing uniaxial stretching on the test piece in a preset loading mode in a constant-temperature environment consistent with S2 until the test piece is completely snapped, and continuously collecting real-time load and displacement in the whole stretching process; calculating an anti-cracking index based on the collected load and displacement, and evaluating the anti-cracking performance of the asphalt cement; a rigid constraint interface is constructed through a standardized test piece preparation process, a multi-dimensional constraint stress state and a real cracking mechanism of asphalt among aggregates are reproduced in a uniaxial stretching process, and a whole-process standardized system from test piece preparation, constant-temperature loading to data evaluation is constructed.

This invention relates to a method for simulating the uniaxial tensile behavior of a liquid lead-bismuth environment. The method involves conducting uniaxial tensile tests on metallic material specimens in an air environment to obtain stress-strain curves; establishing a two-scale finite element model of the metallic material specimen using ABAQUS finite element software and simulating the uniaxial tension of the two-scale finite element model in the air environment; conducting fracture toughness tests and uniaxial tensile tests on the metallic material in a liquid lead-bismuth environment to obtain stress-strain curves; and simulating the uniaxial tension of the two-scale finite element model in the liquid lead-bismuth environment using ABAQUS finite element software. This invention establishes a finite element model and uses ABAQUS finite element software for calculation, allowing for intuitive observation of the damage behavior of metallic materials during tensile processes in both air and liquid lead-bismuth environments. The established model and parameters can predict different structures and boundary conditions, offering advantages such as accurate results, high efficiency, and low cost. The established two-scale finite element model effectively reduces computational costs.

The invention discloses a method and a system for predicting crystal plasticity constitutive parameters of a single crystal based on nanoindentation data driving, and belongs to the technical field of crossing of material computational mechanics and artificial intelligence. The method comprises the following steps: generating a nanoindentation simulation data set and a uniaxial tension simulation data set by using a crystal plasticity finite element, and constructing a hierarchical mapping relation of nanoindentation curve-stress-strain curve-crystal plasticity constitutive parameter by using a multilayer sensor. According to the method, a staged hierarchical neural network prediction framework based on single crystal nanoindentation data driving is constructed, and efficient and accurate prediction of crystal plasticity constitutive parameters is realized.

A method for performing parameter identification on a hyperelastic constitutive model by using brain tissue non-uniaxial tension and compression test results relates to the technical field of injury biomechanics, and comprises the following steps: processing test data to obtain a pseudo-true stress-elongation curve; temporary hyperelastic constitutive parameters are obtained; establishing a non-uniaxial stretching and compression finite element model; acquiring a conversion relationship between the real stress and the engineering stress under the non-uniaxial tension and non-uniaxial compression conditions; establishing a uniaxial stretching and compression working condition finite element model; establishing a real stress conversion relation in a single-axis stress state and a non-single-axis stress state; processing test data by utilizing the conversion relation; and carrying out constitutive model parameter identification by utilizing the processed test data and obtaining constitutive model parameters. According to the method, non-ideal test data is converted into standard uniaxial stress state data through finite element simulation in the non-uniaxial stress state and the uniaxial stress state and building of the multistage conversion relation, and the method has the advantages that test data errors are reduced, and brain tissue mechanical behaviors are accurately represented.