Direct model optimisation for data inversion. Application to ultrasonic characterisation of heterogeneous welds

Gueudré, Cécile; Marrec, Loïc Le; Moysan, Joseph; Chassignole, Bertrand

doi:10.1016/j.ndteint.2008.07.003

Cited by 25 publications

(25 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The inversion process is illustrated in Figure 9. This is similar to the approach that was applied in the work by Gueudre et al [7], which iteratively compares the echo dynamic curve obtained from a Finite Element simulation [24] and a simulated experiment. However there is a significant difference in that our approach is based on the arrival time at chosen locations whereas the approach by Gueudre et al uses the profile of the signal amplitude across the receiver locations.…”

Section: Inversion Technique Based On a Genetic Algorithmmentioning

confidence: 90%

“…There is also an influence of the orientation of the component while the weld is being made, when gravitational forces can skew the alignment of the solidifying material; this has a particularly large effect when the weld is vertical. Nevertheless this simplifying assumption of material symmetry has been shown to be approximately correct from macrograph and Electron Back Scattering Diffraction (EBSD) measurements [10], and has been adopted widely [5,6,3,7,8,11].…”

Section: Modeling Of Weld Mapsmentioning

confidence: 99%

“…Gueudre et al [7] demonstrated a modeling procedure able to identify the parameters in the MINA model, from comparing the echo-dynamic curve of the signals received along a length on the base face of the weld; this is the amplitude profile across the receiver locations. This approach was validated by a simulated experiment.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Nonintrusive estimation of anisotropic stiffness maps of heterogeneous steel welds for the improvement of ultrasonic array inspection

Fan

Mark

Lowe

et al. 2015

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

View full text Add to dashboard Cite

It is challenging to inspect austenitic welds non-destructively using ultrasonic waves because the spatially varying elastic anisotropy of weld microstructures can lead to the deviation of ultrasound. Models have already been developed to predict the propagation of ultrasound in such welds once the weld stiffness heterogeneity is known. Consequently, it would be desirable to have a means of measuring the variation in elastic anisotropy experimentally so as to be able to cor-

show abstract

Section: Inversion Technique Based On a Genetic Algorithmmentioning

confidence: 90%

Section: Modeling Of Weld Mapsmentioning

confidence: 99%

See 1 more Smart Citation

Nonintrusive estimation of anisotropic stiffness maps of heterogeneous steel welds for the improvement of ultrasonic array inspection

Fan

Mark

Lowe

et al. 2015

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

View full text Add to dashboard Cite

show abstract

“…As such, the ability to model beam-steering and its impact upon ultrasonic imaging allows a qualitative and quantitative assessment of the impact of anisotropy of a particular weld upon a given ultrasonic inspection, and more importantly, the potential to optimise the inspection through parametric analysis or an optimisation framework e.g. simulated annealing or genetic algorithms [3,4,5,6].…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic array imaging through an anisotropic austenitic steel weld using an efficient ray-tracing algorithm

Nowers

Duxbury

Drinkwater³

2016

NDT & E International

View full text Add to dashboard Cite

Ultrasonic inspection of austenitic welds is challenging due to their highly anisotropic and heterogeneous microstructure. The weld anisotropy causes a steering of the ultrasonic beam leading to a number of adverse effects upon ultrasonic array imagery, including defect mislocation and aberration of the defect response. A semi-analytical model to simulate degraded ultrasonic images due to propagation through an anisotropic austenitic weld is developed. Ray-tracing is performed using the A* path-finding algorithm and integrated into a semi-analytical beam-simulation and imaging routine to observe the impact of weld anisotropy on ultrasonic imaging. Representative anisotropy weld-maps are supplied by the MINA model of the welding process. A number of parametric studies are considered, including the magnitude and behaviour of defect mislocation and amplitude as the position of a fusion-face defect and the anisotropy distribution of a weld is varied, respectively. Furthermore, the use of the model to efficiently simulate and evaluate ultrasonic image degradation due to anisotropic austenitic welds during an inspection development process is discussed.

show abstract

“…Rapid increases in both computing power and storage capacities, and corresponding decreases in cost have paved the way for the development of improved modelling capabilities and imaging algorithms, with notable contributions from [1][2][3] .…”

Section: Introductionmentioning

confidence: 99%

Correction of ultrasonic array images to improve reflector sizing and location in inhomogeneous materials using a ray-tracing model

Connolly

Lowe²,

Temple³

et al. 2010

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

show abstract

Direct model optimisation for data inversion. Application to ultrasonic characterisation of heterogeneous welds

Cited by 25 publications

References 9 publications

Nonintrusive estimation of anisotropic stiffness maps of heterogeneous steel welds for the improvement of ultrasonic array inspection

Nonintrusive estimation of anisotropic stiffness maps of heterogeneous steel welds for the improvement of ultrasonic array inspection

Ultrasonic array imaging through an anisotropic austenitic steel weld using an efficient ray-tracing algorithm

Correction of ultrasonic array images to improve reflector sizing and location in inhomogeneous materials using a ray-tracing model

Contact Info

Product

Resources

About