Abstract

Structural health monitoring (SHM) usually requires several stages of information, starting from damage detection, localisation, and identification. Ultrasonic guided waves can travel long distances with relatively low attenuation, which enables them to interact with any potential damage present in the structure. This paper focuses on the use of a novel ultrasonic guided wave propagation model in order to provide both damage localisation and identification. The wave propagation model used here is a state of the art method for transient simulation of ultrasonic guided waves in one dimensional structures both isotropic and anisotropic. This is embedded in a framework for generating excitation signals and capturing scattered signals from damage at any point in the structure. The methodology computes the complete transient response at a fraction of computational cost of full finite element (FE) method. Two kind of damages are modelled: (1) a transverse crack and (2) a delamination in composite beams. To address damage identification and quantification, a model based Bayesian inverse problem is formulated so that both damage scenarios are identifiable. The proposed methodology is exemplified in a beam using the case study of a simulated delamination between two layers. The results show that the proposed framework classify and localise the damage accurately.

Highlights

  • Ultrasonic guided waves have been demonstrated to be suitable for Structural health monitoring (SHM) in thin structures [1]

  • The damage identification problem can be addressed by the model-based inverse approaches which can reconstruct the response through model updating

  • Different methodologies have been developed to overcome this issue, such as the semi-analytical finite element method (SAFE) [5, 6], scaled boundary finite element method (SBFEM) [7], and direct solution of Rayleigh-Lamb wave equations [8]. One such methodology is the hybrid wave and finite element (WFE) method [9], which is used in this paper

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Summary

INTRODUCTION

SHM framework, this can be used to evaluate the structure by comparing the signal with a database of possible responses [4]. Different methodologies have been developed to overcome this issue, such as the semi-analytical finite element method (SAFE) [5, 6], scaled boundary finite element method (SBFEM) [7], and direct solution of Rayleigh-Lamb wave equations [8] One such methodology is the hybrid wave and finite element (WFE) method [9], which is used in this paper. The fast and efficient approach can be integrated within a probabilistic SHM framework for damage identification and localisation. The principal novelty introduced in this paper is the stochastic embedding of a WFE based guided wave simulation model in a hierarchical Bayesian framework for damage identification and localisation. The WFE model for guided wave simulation is presented followed by the section on Bayesian approach for damage identification. A numerical case study is presented followed by concluding remarks

GUIDED WAVE SIMULATION MODEL
Coupling section
BAYESIAN APPROACH FOR DAMAGE IDENTIFICATION
NUMERICAL EXAMPLE
Model class Crack Delamination
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