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Ultrasonic guided waves offer a convenient and practical approach to structural health monitoring and non-destructive evaluation. A key property of guided waves is the fully-defined relationship between central frequency and propagation…

The use of ultrasonic guided waves to probe the materials/structures for damage continues to increase in popularity for non-destructive evaluation (NDE) and structural health monitoring (SHM). The use of high-frequency waves such as these…

Ultrasonic guided waves are commonly used to localize structural damage in infrastructures such as buildings, airplanes, bridges. Damage localization can be viewed as an inverse problem. Physical model based techniques are popular for…

机器学习 · 计算机科学 2019-11-11 Ishan D. Khurjekar , Joel B. Harley

In the field of structural health monitoring (SHM), the acquisition of acoustic emissions to localise damage sources has emerged as a popular approach. Despite recent advances, the task of locating damage within composite materials and…

机器学习 · 计算机科学 2020-12-22 Matthew R. Jones , Tim J. Rogers , Keith Worden , Elizabeth J. Cross

In this work, a novel approach for the detection and localisation of nonlinear guided waves often associated with the presence of damage in structural components is proposed. The method is active and consists of a piezoelectric transducer…

应用物理 · 物理学 2024-06-26 Paweł Kudela , Maciej Radzienski , Marco Miniaci , Piotr Fiborek , Wieslaw Ostachowicz

Laser ultrasonic non-destructive testing is widely used for the inspection of mechanical structures. This method uses the propagation of ultrasonic guided waves (UGW) in the media. For this purpose, it has been demonstrated that the…

Structural health monitoring (SHM) systems use the non-destructive testing principle for damage identification. As part of SHM, the propagation of ultrasonic guided waves (UGWs) is tracked and analyzed for the changes in the associated wave…

信号处理 · 电气工程与系统科学 2024-01-15 Subhayan De , Bhuiyan Shameem Mahmood Ebna Hai , Alireza Doostan , Markus Bause

Recently, guided waves-based techniques have garnered increased attention from researchers in the field of Structural Health Monitoring (SHM) for damage detection and quantification. Extracting features that are sensitive to changes in…

信号处理 · 电气工程与系统科学 2024-10-08 Yiming Fan , Fotis Kopsaftopoulos

In non-destructive evaluation guided wave inspections, the elastic structure to be inspected is often embedded within other elastic media and the ensuing leaky waves are complex and non-trivial to compute; we consider the canonical example…

数值分析 · 数学 2024-07-04 Evripides Georgiades , Michael J. S. Lowe , Richard V. Craster

Leaky waves are an important class of waves, particularly for guiding waves along structures embedded within another medium; a mismatch in wavespeeds often leads to leakage of energy from the waveguide, or interface, into the medium, which…

流体动力学 · 物理学 2024-01-30 Evripides Georgiades , Michael J. S. Lowe , Richard V. Craster

Traditional structural damage detection methods in aerospace applications face challenges in accuracy and sensitivity, often necessitating multiple sensors to evaluate various measurement paths between the reference and defective states.…

应用物理 · 物理学 2025-06-25 Bo Hu , Tribikram Kundu , Pierre A. Deymier , Keith Runge

Guided ultrasonic wave localization uses spatially distributed multistatic sensor arrays and generalized beamforming strategies to detect and locate damage across a structure. The propagation channel is often very complex. Methods can…

信号处理 · 电气工程与系统科学 2024-10-30 Ishan D. Khurjekar , Joel B. Harley

This study presents an experimental investigation of the recently established generalized linear sampling method (GLSM) for non-destructive evaluation of damage in elastic materials. To this end, ultrasonic shear waves are generated in a…

应用物理 · 物理学 2021-05-26 Fatemeh Pourahmadian , Hao Yue

We present a novel, general-purpose method for deconvolving and denoising images from gridded radio interferometric visibilities using Bayesian inference based on a Gaussian process model. The method automatically takes into account…

Ultrasound imaging plays a critical role in the early detection of breast cancer. Accurate identification and segmentation of lesions are essential steps in clinical practice, requiring methods to assist physicians in lesion segmentation.…

计算机视觉与模式识别 · 计算机科学 2024-05-24 Xin Yue , Xiaoling Liu , Qing Zhao , Jianqiang Li , Changwei Song , Suqin Liu , Zhikai Yang , Guanghui Fu

Shear wave elastography involves applying a non-invasive acoustic radiation force to the tissue and imaging the induced deformation to infer its mechanical properties. This work investigates the use of convolutional neural networks to…

图像与视频处理 · 电气工程与系统科学 2024-04-29 Remi Delaunay , Yipeng Hu , Tom Vercauteren

In non-destructive and biomedical imaging, spatial patterns inside a sample are imaged without destroying it. Therefore, propagating waves, including electromagnetic or ultrasonic signals, or even diffuse heat are generated or modified by…

应用物理 · 物理学 2025-07-09 Peter Burgholzer , Lukas Gahleitner , Guenther Mayr

With the introduction of damage tolerance-based design philosophies, the demand for reliable and robust structural health monitoring (SHM) procedures for aerospace composite structures is increasing rapidly. The performance of supervised…

信号处理 · 电气工程与系统科学 2022-04-22 Mahindra Rautela , J. Senthilnath , Ernesto Monaco , S. Gopalakrishnan

In vivo measurement of the mechanical properties of thin-walled soft tissues (e.g., mitral valve, artery and bladder) and in situ mechanical characterization of thin-walled artificial soft biomaterials in service are of great challenge and…

软凝聚态物质 · 物理学 2020-09-02 Guo-Yang Li , Qiong He , Robert Mangan , Guoqiang Xu , Chi Mo , Jianwen Luo , Michel Destrade , Yanping Cao

The global trends in the construction of modern structures require the integration of sensors together with data recording and analysis modules so that their integrity can be continuously monitored for safe-life, economic and ecological…

信号处理 · 电气工程与系统科学 2025-04-08 M-A Torres-Arredondo , Julián Sierra-Pérez , Guénaël Cabanes
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