DeepAI AI Chat
Log In Sign Up

A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves

09/08/2022
by   Marcus Haywood-Alexander, et al.
The University of Sheffield
0

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 characteristics (phase velocity, group velocity and wavenumber) – which is described using dispersion curves. For many guided wave-based strategies, accurate dispersion curve information is invaluable, such as group velocity for localisation. From experimental observations of dispersion curves, a system identification procedure can be used to determine the governing material properties. As well as returning an estimated value, it is useful to determine the distribution of these properties based on measured data. A method of simulating samples from these distributions is to use the iterative Markov-Chain Monte Carlo procedure, which allows for freedom in the shape of the posterior. In this work, a scanning-laser doppler vibrometer is used to record the propagation of Lamb waves in a unidirectional-glass-fibre composite plate, and dispersion curve data for various propagation angles are extracted. Using these measured dispersion curve data, the MCMC sampling procedure is performed to provide a Bayesian approach to determining the dispersion curve information for an arbitrary plate.

READ FULL TEXT

page 8

page 12

page 13

page 14

06/14/2022

Experimental determination of Lamb wave dispersion diagrams over large frequency ranges in fiber metal laminates

Fiber metal laminates (FML) are of high interest for lightweight structu...
05/24/2022

Informative Bayesian Tools for Damage Localisation by Decomposition of Lamb Wave Signals

Ultrasonic guided waves offer a convenient and practical approach to str...
01/05/2021

Structured Machine Learning Tools for Modelling Characteristics of Guided Waves

The use of ultrasonic guided waves to probe the materials/structures for...
06/05/2023

Experimental validation of an inverse method for defect reconstruction in a 2D waveguide model

Defect reconstruction is essential in non-destructive testing and struct...
07/19/2013

Automated Defect Localization via Low Rank Plus Outlier Modeling of Propagating Wavefield Data

This work proposes an agnostic inference strategy for material diagnosti...
05/20/2019

Physics-informed transfer path analysis with parameter estimation using Gaussian processes

Gaussian processes regression is applied to augment experimental data of...
10/24/2020

Lightning-Fast Gravitational Wave Parameter Inference through Neural Amortization

Gravitational waves from compact binaries measured by the LIGO and Virgo...