Guided wave damage characterisation in beams utilising probabilistic optimisation

Ng, Ching‐Tai; Veidt, Martin; Lam, Heung-Fai

doi:10.1016/j.engstruct.2009.07.009

Cited by 40 publications

(47 citation statements)

References 26 publications

(34 reference statements)

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“…Different techniques [5][6][7][8] have been developed to ensure the safety and reduce maintenance costs of structures. Guided waves (GWs) have demonstrated great potential for damage detection in a wide range of structural elements, including beams [9], pipes [10], metallic plates [11], and, more recently, composite laminates [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Analytical and finite element prediction of Lamb wave scattering at delaminations in quasi-isotropic composite laminates

Ng¹,

Veidt²,

Rose³

et al. 2012

Journal of Sound and Vibration

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Section: Introductionmentioning

confidence: 99%

Analytical and finite element prediction of Lamb wave scattering at delaminations in quasi-isotropic composite laminates

Ng¹,

Veidt²,

Rose³

et al. 2012

Journal of Sound and Vibration

Self Cite

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“…This is, however, a highly nonlinear optimization problem. The direct use of guided wave signals in the measure-of-fit function J (θ) results a large number of local optimums in the parameter space S(θ) 32,34 . The current study used the signal envelopes as the data in order to minimize the number of local optimal points in the optimization.…”

Section: Signal Envelope and Hybrid Optimization Strategymentioning

confidence: 99%

Bayesian model updating approach for experimental identification of damage in beams using guided waves

2014

Structural Health Monitoring

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A Bayesian approach is proposed to quantitatively identify damages in beam-like structures using experimentally measured guided wave signals. The proposed methodology treats the damage location, length and depth as unknown parameters. Damage identification is achieved by solving an optimization problem, in which a hybrid particle swarm optimization (PSO) algorithm is applied to maximize the probability density function (PDF) of a damage scenario conditional on the measured guided wave signals. Signal envelopes extracted by the Hilbert transform are proposed to minimize the complexity of the optimization problem in order to enhance the robustness and computational efficiency of the damage identification. One of the advantages of the proposed methodology is that instead of only pinpointing the multivariate damage characteristics, the uncertainty associated with the damage identification results is also quantified. This outcome provides essential information for making decisions about the remedial work necessary to repair structural damage. The experimental data consists of guided wave signals measured at a single location of the beams. A number of experimental case studies considering damages of different scenarios are used to demonstrate the success of the proposed Bayesian approach in identifying the damages. The results show that the proposed approach is able to accurately identify damages, even when the extent of the damage is small. KeywordsBayesian approach, guided waves, beam, damage identification, probability density function IntroductionInfrastructure plays an important role in our daily life. It enhances access to public services and both physical and service sector resources (e.g., bridges, buildings, aerospace, pipeline, wind energy generation as well as land and water transport infrastructure). The aging and deterioration of engineered infrastructure across the developed world have therefore become a universal challenge for governments and industries. Thus, monitoring structural integrity to enhance the sustainability and reliability of both new and old structures, and the reduction of their life cycle costs have become increasingly important.Accumulation of damage over the lifespan of a structure without adequate and timely inspection can lead to catastrophic failure. Various damage detection techniques have been developed over many years. These are typified by conventional ultrasonic, acoustic emission, eddy-current, vibration-based and guided wave techniques [1][2][3][4][5][6][7] . Vibration-based and guided wave techniques in particular have attracted much attention. Vibration-based techniques detect damages using the dynamic characteristics of structures have been extensively studied in the last two decades 8-12 but detection of damage mainly depends on successfully recognising changes in the vibration characteristics of the structures being tested. Guided wave techniques, on the other hand, use mechanical stress waves propagated at ultrasonic frequencies along natural boundaries in t...

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“…(5) The factors W F , W D and W M n Equation (5) are the so-called weighting factors of each of the previously defined three parts of the objective function, Equations (2), (3) and (4). The second proposed form of objective function for the application of SA method, includes slight modifications of the objective function form used in [5], Equation (6).…”

Section: (4)mentioning

confidence: 99%

“…Nondestructive testing techniques are generally used to investigate critical changes in structural parameters, thus preventing any unexpected failure. These techniques are included in the so-called Structural Health Monitoring -(SHM) system, which is the art of instructing information about the existence, location, and extent of damage in a structure using non-destructive methods, [2][3][4][5]. One possible approach is to monitor and interpret changes in structural dynamic properties extracted from measurements during experimental modal analyses, or ambient vibration measurements and appropriate signal-processing techniques [6].…”

Section: Introductionmentioning

confidence: 99%

“…Afterwards, the temperature slowly decreases, until the material solidifies. If the temperature decreases sufficiently slowly, the annealing process always guarantees that the alloy will reach its global minimum energy state [4,11]. The TS and SA methods are tested in this study because of their quick convergence performances [10,11] and proven ability to avoid any existing local minimums in searching space with variation of objective function as the main part of each optimization method.…”

Section: Introductionmentioning

confidence: 99%

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Testiranje heurističkih metoda optimizacije za detekciju oštećenja na bazi vibracija

2016

JCE

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Testing heuristic optimisation methods for vibration-based detection of damageConsiderable efforts have been made in recent years for the development of nondestructive techniques for detection of structural damage based on changes of dynamic parameters of structures. The tests are made on a model of a simple beam with cantilevers. Two heuristic optimisation techniques are used in the proposed procedure for detecting the location and level of damage: taboo search and simulated annealing. The results show that both proposes procedures, with appropriate target functions and weight factors, are highly efficient for detecting the location and level of damage. Testiranje heurističkih metoda optimizacije za detekciju oštećenja na bazi vibracija Proteklih je godina značajan napor usmjeren na razvoj nedestruktivnih tehnika detekcije oštećenja u konstrukcijama na osnovi promjena njihovih dinamičkih parametara. Istraživanja su provedena na modelu proste slobodno oslonjene grede s prepustima. Predložene procedure za detekciju lokacije i nivoa oštećenja primjenjuju dvije heurističke tehnike optimizacije: tabu pretraživanje i simulirano kaljenje. Rezultati pokazuju da su obje predložene procedure, s odgovarajućim funkcijama cilja i težinskim faktorima, vrlo efikasne u detekciji lokacije i ozbiljnosti oštećenja.

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Guided wave damage characterisation in beams utilising probabilistic optimisation

Cited by 40 publications

References 26 publications

Analytical and finite element prediction of Lamb wave scattering at delaminations in quasi-isotropic composite laminates

Analytical and finite element prediction of Lamb wave scattering at delaminations in quasi-isotropic composite laminates

Bayesian model updating approach for experimental identification of damage in beams using guided waves

Testiranje heurističkih metoda optimizacije za detekciju oštećenja na bazi vibracija

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