3 results about "Transverse strain" patented technology

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 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.