POD as a function of flaw location in component

Jonne Haapalainen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

The probability of detection (POD) curves are often used to estimate the capability of a non-destructive testing (NDT) method to find flaws. However, the POD information typically requires very many expensive measurements, so much effort can be spared by obtaining comparable data from computer simulations. In this study CIVA ultrasound simulation software was used to generate 150 simulations from ultrasonic inspection of a nozzle. The results were used for training of neural networks that were then used to generate POD-curves. The results of POD-calculation where presented as a function of flaw characteristics and location in the component. The results show that the smallest detectable flaw size can be very different in different parts of the component. The smallest and largest detectable flaws differ by more than an order of magnitude depending of the flaw location. The benefits and limitations are discussed with respect to the used methodology that combines ultrasound simulations with metamodeling and POD-calculations.
Original languageEnglish
Title of host publicationBaltica X
Subtitle of host publicationInternational Conference on Life Management and Maintenance for Power Plants
EditorsPertti Auerkari
Place of PublicationEspoo
PublisherVTT Technical Research Centre of Finland
Number of pages7
ISBN (Electronic)978-951-38-8436-9, 978-951-38-8435-2
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
EventBALTICA X - International Conference on Life Management and Maintenance for Power Plants - Cruise, Helsinki-Stockholm, Finland
Duration: 7 Jun 20169 Jun 2016

Publication series

SeriesVTT Technology
Volume261

Conference

ConferenceBALTICA X - International Conference on Life Management and Maintenance for Power Plants
Abbreviated titleBaltica X
CountryFinland
CityHelsinki-Stockholm
Period7/06/169/06/16

Fingerprint

Defects
Ultrasonics
Nondestructive examination
Nozzles
Inspection
Neural networks
Computer simulation

Cite this

Haapalainen, J. (2016). POD as a function of flaw location in component. In P. Auerkari (Ed.), Baltica X: International Conference on Life Management and Maintenance for Power Plants Espoo: VTT Technical Research Centre of Finland. VTT Technology, Vol.. 261
Haapalainen, Jonne. / POD as a function of flaw location in component. Baltica X: International Conference on Life Management and Maintenance for Power Plants. editor / Pertti Auerkari. Espoo : VTT Technical Research Centre of Finland, 2016. (VTT Technology, Vol. 261).
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Haapalainen, J 2016, POD as a function of flaw location in component. in P Auerkari (ed.), Baltica X: International Conference on Life Management and Maintenance for Power Plants. VTT Technical Research Centre of Finland, Espoo, VTT Technology, vol. 261, BALTICA X - International Conference on Life Management and Maintenance for Power Plants, Helsinki-Stockholm, Finland, 7/06/16.

POD as a function of flaw location in component. / Haapalainen, Jonne.

Baltica X: International Conference on Life Management and Maintenance for Power Plants. ed. / Pertti Auerkari. Espoo : VTT Technical Research Centre of Finland, 2016. (VTT Technology, Vol. 261).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AB - The probability of detection (POD) curves are often used to estimate the capability of a non-destructive testing (NDT) method to find flaws. However, the POD information typically requires very many expensive measurements, so much effort can be spared by obtaining comparable data from computer simulations. In this study CIVA ultrasound simulation software was used to generate 150 simulations from ultrasonic inspection of a nozzle. The results were used for training of neural networks that were then used to generate POD-curves. The results of POD-calculation where presented as a function of flaw characteristics and location in the component. The results show that the smallest detectable flaw size can be very different in different parts of the component. The smallest and largest detectable flaws differ by more than an order of magnitude depending of the flaw location. The benefits and limitations are discussed with respect to the used methodology that combines ultrasound simulations with metamodeling and POD-calculations.

M3 - Conference article in proceedings

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Haapalainen J. POD as a function of flaw location in component. In Auerkari P, editor, Baltica X: International Conference on Life Management and Maintenance for Power Plants. Espoo: VTT Technical Research Centre of Finland. 2016. (VTT Technology, Vol. 261).