9 results about "Transverse strain" patented technology

The invention provides a bidirectional tension control withdrawal and straightening method for loose edge defects of a cold-rolled 2B plate, which comprises the following steps of: S1, acquiring transverse strain distribution data of the plate in real time through a distributed optical fiber strain sensor array at the sampling frequency of more than or equal to 10kHz; s2, inputting the strain data and the process parameters into a physical-data hybrid drive prediction model, and generating an optimized combination matrix of longitudinal tension sigma long and transverse tension sigma trans by the model through a neural network constrained by an embedded Hollomon elastic-plastic equation; s3, the magnetic field intensity of the magnetorheological fluid clamping roller is dynamically adjusted according to the optimization matrix, so that the transverse tension is continuously adjustable within the range of 0.1-50 N / mm < 2 >; s4, a multi-target reinforcement learning algorithm is adopted, model parameters are updated on line based on real-time defect detection data, and the loose edge elimination rate and the energy consumption index are balanced. The method has the advantages that longitudinal and transverse tension coordinated regulation and control are realized, the loose edge defect elimination precision is improved, and the real-time adaptability of the model is enhanced.

The utility model discloses a novel three-dimensional force sensor, which comprises an elastic sensor main body with a cylindrical structure, the upper part of the elastic sensor main body is provided with a first annular groove, the lower part of the elastic sensor main body is provided with a second annular groove, and four mounting positions are arranged in the second annular groove; an axial strain gauge is attached to the first annular groove, and three of the four installation positions are each provided with a transverse strain gauge. Thus, axial pressure information is received through the axial strain gauge in the first annular groove, transverse pressure information is received through the three transverse strain gauges, and the application scene of the sensor is improved.

The invention provides a system and a method for calibrating a resistance strain gauge in an extreme low-temperature environment. The system for calibrating the resistance strain gauge in the extreme low-temperature environment comprises a flat-plate-shaped approximately-rectangular test tensile standard part, a low-temperature strain calibration module, a strain measurement module, a strain acquisition module and an extensometer acquisition module. Through the combination of the vertical strain gauges and the transverse strain gauges and the step-by-step verification of room temperature, extreme low temperature and multi-gradient low temperature environments, the deformation measurement precision is greatly improved.

The application discloses a light cable net film airship main gas bag and a manufacturing method. The steps for simulating and analyzing set two-dimensional generatrix and determining the arrangement position of the circumferential reinforcing rib include: starting from the quality point of the fixed maximum cross section circumferential position, obtaining the shape after deformation, and then obtaining the quality point with the maximum transverse strain, which is the obtained arc length position of the circumferential reinforcing rib; the quality point is fixed in the next calculation to continue segmentation until the positions of the set number of circumferential reinforcing ribs are completed. The steps for determining the bulge shape after being jointly constrained by the meridian reinforcing rib and the circumferential reinforcing rib include: according to the reinforcing rib position, the reinforcing rib elastic modulus and the spherical membrane elastic modulus, simulating and calculating the spherical membrane surface, and under the condition that the airship internal and external pressure difference is a set value, the three-dimensional shape of each small bulge. The application solves the problem that it is difficult to design a polyethylene film airship main gas bag.

The utility model discloses a vibration sensor for monitoring rock mass fracture, which relates to the field of monitoring equipment, is convenient to couple with rock mass and has a good monitoring effect on fracture signals. The vibration sensor comprises a deformable body, an optical fiber, a vibration conduction assembly and a rock mass coupling part. Through the rock mass coupling component mainly composed of the coupling base and the coupling connecting piece, the vibration sensor is convenient to install and arrange; the deformable body deforms when sensing a fracture signal, so that the first optical fiber coil and the second optical fiber coil deform; the first optical fiber coil spirally wound on the deformable body can monitor longitudinal and transverse strain perpendicular to the axial direction of the deformable body caused by vibration, and the second optical fiber coil with two or more linear segments arranged in the axial direction of the deformable body can monitor strain in the axial direction of the deformable body caused by vibration. Therefore, the vibration sensor has a good monitoring effect on the fracture signal.

The present disclosure relates to a bridge sensor optimization layout and response reconstruction method, system and medium, relating to the field of bridges. The method comprises: establishing a finite element model of the bridge; deleting measurement points in the initial sensor layout scheme; calculating load transverse influence lines using the bridge finite element model, reconstructing strain response data of the deleted transverse strain measurement points; reconstructing displacement data of the deleted displacement measurement points and / or acceleration data of the acceleration measurement points based on the relationship between displacement and acceleration; reconstructing strain response data of the deleted longitudinal strain measurement points based on the relationship between strain and displacement, using sensor data of the retained longitudinal strain measurement points and using data of the longitudinal displacement measurement points; constructing the architecture of the BiLSTM neural network model; all sensor data and all reconstructed data are input into the network model, and the network model is used to predict the data of the deleted measurement points. The present disclosure realizes the optimization of the sensor layout while improving the reconstruction accuracy.

The invention provides a multi-dimensional strain field distribution reconstruction method based on a fiber bragg grating, and the method comprises the steps: obtaining original reflection spectrum data generated by the fiber bragg grating under the action of a complex load, and obtaining a smoothed first reflection spectrum through Gaussian filtering and baseline correction processing; extracting a main peak center wavelength drift distance, a secondary peak occurrence number and a spectral width broadening degree from the peak value parameter set to form a spectral shape feature vector reflecting a distortion degree; inputting the spectral shape feature vector into a pre-trained neural network model, and obtaining an axial strain estimation value and a transverse strain estimation value after preliminary separation through model output; matching the principal component score vector with a pre-established strain-space mapping relation, and determining a spatial distribution weight coefficient corresponding to each principal component; and performing linear combination reconstruction on the strain components at all positions according to the spatial distribution weight coefficient to obtain a multi-dimensional strain field distribution result along the length direction of the optical fiber.

The invention provides a hyperelastic material strain-related Poisson's ratio measurement method and electronic equipment, and belongs to the field of mechanical property testing of hyperelastic materials. The Poisson's ratio measurement method comprises the following steps: acquiring engineering transverse strain and engineering longitudinal strain in a deformation process of a sample to be measured; converting the engineering transverse strain and the engineering longitudinal strain into transverse true strain and longitudinal true strain; performing function relation fitting based on the transverse true strain and the longitudinal true strain to obtain a fitting function; and obtaining a Poisson's ratio measurement result based on the fitting function. According to the method, errors caused by the large deformation characteristic of the hyperelastic material are reduced, and when the Poisson's ratio of the hyperelastic material is calculated, the real change trend of the Poisson's ratio of the material in the large deformation state can be accurately reflected.

The present application relates to the technical field of internal deformation and failure monitoring of slope, and discloses a simulation device for monitoring internal deformation and failure characteristics of an arched slope under excavation conditions, which integrates a digital camera, a high-speed camera, an FBG optical fiber grating strain sensor, an optical fiber grating demodulator and other sensors and monitoring technologies, analyzes deformation characteristics in the excavation process by using a particle image velocimetry (PIV) method, can clearly observe an arched large deformation zone, an upper small deformation zone and two non-yielding zones, and considers the characteristics related to the deformation of the arched slope and the arch effect; in the arched failure, the optical fiber grating demodulator is used to obtain internal transverse strain of the slope and calculate internal shear stress of the slope. The device can not only monitor internal deformation and failure characteristics of the arched slope under the excavation conditions, but also provide important data support for slope stability analysis and disaster prevention.