Application of Bayesian estimation to structural health monitoring of fatigue cracks in welded steel pipe

Shamsudin, Mohd Fairuz; Mares, Cristinel; Johnston, Carol; Lage, Yoann; Edwards, Graham; Gan, Tat-Hean

doi:10.1016/j.ymssp.2018.11.004

Cited by 23 publications

(8 citation statements)

References 22 publications

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“…Alternatively, Bayesian approximation techniques have been studied [6,7] due to their capabilities to locate damage [8]. They have been applied, for example, to real-time fatigue crack growth monitoring and characterization [9,10]. While promising, nonlinearities and non-Gaussian distributions of the probability density of the states may limit the application of these techniques.…”

Section: Introductionmentioning

confidence: 99%

Online parameter estimation under non-persistent excitations for high-rate dynamic systems

Jin

Laflamme

Hong

et al. 2021

Mechanical Systems and Signal Processing

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High-rate dynamic systems are defined as systems experiencing dynamic events of typical amplitudes higher than 100 g n for a duration of less than 100 ms. They are characterized by 1) large uncertainties on the external loads; 2) high levels of nonstationarity and heavy disturbance; and 3) generation of unmodeled dynamics from changes in mechanical configuration. To fully enable these systems, feedback capabilities must be developed. This includes computationally fast software and low latency hardware. This paper presents a pure time-based online parameter estimation algorithm for high-rate dynamic systems with real-time applicability. The algorithm is based on a model reference adaptive system architecture consisting of a reference system and an adaptive model. The adaptive model is built on a reduced order physical representation of the system and uncertainties are linearized. Uncertain coefficients are adapted leveraging instantaneous measurements and historical input-output data sets, termed history stack data, based on concurrent learning theory for coping with the lack of persistent excitation. The history stack is sequentially modified based on a singular value maximizing algorithm to accelerate convergence. The algorithm is numerically verified and experimentally validated on a testbed consisting of a cantilever beam with a moving cart. Numerical verifications show that the algorithm provides fast and accurate convergence when concurrent learning is used. Experimental validations show that the algorithm can successfully identify static positions of the cart, and can also track its movement relatively well, with large chattering and overshoots during travel time. The average computation speed of the algorithm per sample step, implemented in MATLAB, is 93 ls. It is envisioned that the implementation of the algorithm on an FPGA, along with refined coding, will greatly reduce computation time.

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Section: Introductionmentioning

confidence: 99%

Online parameter estimation under non-persistent excitations for high-rate dynamic systems

Jin

Laflamme

Hong

et al. 2021

Mechanical Systems and Signal Processing

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“…Due to its sensitivity to microstructure parameters, the AE method of application makes it possible to detect violations of the structural composition in the material [17][18][19]. In a number of experimental research studies [20][21][22][23][24][25], it was found that the AE method If such dissimilar welded joints are operated for a long time at high temperatures, the diffusion processes will proceed intensively, and as a result the interlayers will increase in size. The presence of such interlayers negatively affects the mechanical properties of the welded joint [7].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Features of Acoustic Emission in Tensile Testing of Dissimilar Welded Joints of Pearlitic and Austenitic Steels

et al. 2021

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This paper presents a study of acoustic emission (AE) during the deformation of dissimilar welded joints of austenitic steel to pearlitic steel. One of the specific problems in these welded joints is the presence of decarburized and carbide diffusion interlayers, which intensively increase in width during long-term high-temperature operation. The presence of wide interlayers negatively affects the mechanical properties of welded joints. Moreover, welded defects are difficult to diagnose in welded joints containing interlayers: due to the high structural heterogeneity, interlayers create structural noises that can hinder the detection of defects such as cracks, pores, or a lack of penetration. The AE method may become a complex decision for diagnosing dissimilar welded joints due to applicability to the testing of heterogenic materials with a complex microstructure. Specimens cut from dissimilar welded joints of austenitic steel to pearlitic steel were tested by tension to rupture, with parallel AE data registration. According to the research results, the characteristic features of the AE were revealed for specimens containing defects in the form of lack of penetration as well as for specimens with diffusion interlayers. The results obtained show that the AE method can be used to test both typical welding defects and diffusion interlayers in welded joints of steels of different structural classes.

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“…Accurate fatigue analysis and the evaluation of structural degradation depend on the proper setup of SHM system and suitable data processing techniques, which remain open research areas [30][31][32][33][34]. SHM mainly focuses on load identification, damage diagnostics, and damage prognosis in structural and mechanical systems by analyzing field measurements [35,36].…”

Section: Introductionmentioning

confidence: 99%

Fatigue Life Estimation of Structures under Statistically and Spectrally Similar Variable Amplitude Loading

Li,

Chelidze

2021

Preprint

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A new fatigue life prediction framework provides an improved life prediction under statistically and spectrally similar irregular variable-amplitude loading for a notched beam model. It enables the cumulative damage rule to account for the load sequence effects by modifying the probability density function of the stress-amplitude history through (1) identification of overloads based on the rainflow-counting algorithm; (2) analytical characterization of the overload retardation effects; and (3) correction to the damage rule using overload amplitude rate characterization. The fatigue lives estimated from experimentally acquired and synthetically generated load-time histories are compared to the ones generated from simulations that qualitatively reproduce the fatigue lives in physical experiments. The notable improvement in prediction accuracy outperforms the Palmgren-Miner's rule and power-spectrum-based life estimation. The demonstrated application to the field acceleration data substantiates its use for in-service structural health monitoring and damage prognosis. This framework does not require a priory knowledge of the applied load, and it can be applied to other engineered structures with known structural and defect properties.

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Application of Bayesian estimation to structural health monitoring of fatigue cracks in welded steel pipe

Cited by 23 publications

References 22 publications

Online parameter estimation under non-persistent excitations for high-rate dynamic systems

Online parameter estimation under non-persistent excitations for high-rate dynamic systems

Features of Acoustic Emission in Tensile Testing of Dissimilar Welded Joints of Pearlitic and Austenitic Steels

Fatigue Life Estimation of Structures under Statistically and Spectrally Similar Variable Amplitude Loading

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