SYSTEM FOR NON-DESTRUCTIVE TESTING OF COMPOSITES

    公开(公告)号:US20240361280A1

    公开(公告)日:2024-10-31

    申请号:US18764878

    申请日:2024-07-05

    摘要: Embodiments are disclosed for characterizing and quantifying composite laminate structures. The embodiments take a composite laminate of unknown ply stack composition and sequence and determine various information about the individual plies, such as ply stack, orientation, microstructure, and type. The embodiments distinguish between weave types that exhibit similar planar stiffness behaviors, but produce different failure mechanisms. Individual ply information is then used to derive the laminate bulk properties from externally provided constitutive properties of the fiber and matrix, including extensional stiffness, bending-extension coupling stiffness, bending stiffness, and the like. The laminate bulk properties are then used to generate a probabilistic failure envelope for the composite laminate. In some embodiments, ply stack type and sequence are also determined for a curved composite laminate using the disclosed embodiments by adding a rotational stage.

    ELASTIC WAVE RADAR DETECTION DEVICE AND METHOD

    公开(公告)号:US20240077454A1

    公开(公告)日:2024-03-07

    申请号:US18457885

    申请日:2023-08-29

    IPC分类号: G01N29/04 G01N29/46

    摘要: Provided are an elastic wave radar detection device and method. The device includes a vibration excitation device, a first sensor, a second sensor, and a controller. The first sensor is arranged on the vibration excitation device, and the second sensor is arranged on a detected object. The first sensor is used to collect vibration excitation information, namely, an incident signal, and the second sensor is used to collect information of the detected object, namely, a vibration signal. Both the first sensor and the second sensor are connected to the controller. The elastic wave radar detection device and method provided by the present disclosure can receive vibration excitation information and introduce a standard incident signal, so as to achieve the uniformity of signals and improve the detection accuracy.

    METHOD FOR EXTRACTING FEATURE PATH SIGNALS OF PIPELINE ULTRASONIC HELICAL GUIDED WAVES

    公开(公告)号:US20240003855A1

    公开(公告)日:2024-01-04

    申请号:US18176432

    申请日:2023-02-28

    IPC分类号: G01N29/46 G01N29/04

    摘要: The present disclosure belongs to the technical field of ultrasonic non-destructive testing, and discloses a method for extracting feature path signals of pipeline ultrasonic helical guided waves. The method includes: transforming a nonlinear wave number relationship of a pipe wall into a linear form by first order Taylor expansion, the approximation being reasonable under narrow band excitation; on this basis, establishing multimodal and multipath guided wave propagation over-complete data sets, and obtaining a modal weight factor and a path weight factor through a single-layer neural network algorithm; and multiplying the modal weight factor by the multimodal data set to separate a plurality of groups of unimodal signals from a whole signal, and multiplying the path weight factor by the multipath data set to extract unimodal feature path signals. The present disclosure can effectively extract unimodal unipath guided wave feature signals and improve the signal identification, and has broad prospects.