DC FieldValueLanguage
dc.contributor.authorBerg, Thomas-
dc.contributor.authorEnde, Sven von-
dc.contributor.authorLammering, Rolf-
dc.date.accessioned2019-10-17T07:01:33Z-
dc.date.available2019-10-17T07:01:33Z-
dc.date.issued2018-
dc.description.abstractThe direct current potential drop method is a widespread non-destructive testing and evaluation technique utilised especially in shipbuilding and aerospace industry. Even without feasibility of optical assessment it allows for the accurate health monitoring of electrically conductive components and structures. At anticipated damage locations, the drop of the electric potential of an injected electrical current is measured and subsequently used to determine the respective damage extent on the basis of a specific calibration curve. Though knowledge on this specimen-bound relation between potential drop and damage extent is crucial, the experimental calibration approaches either entail considerable efforts and limitations in the test setup or ensue only afterwards. As opposed to this, FEM-based numerical calibration allows for a real-time damage extent monitoring, however only in a generalised form since no actual measurement data are incorporated into the process. Recent studies propose a new calibration methodology by means of Bayesian filtering where the damage extent is inferred probabilistically from potential drop measurements for fatigue loading conditions. The present work aims to provide a comparison of the aforementioned numerical approaches and their benefits and drawbacks. © 2018 NDT.net. All rights reserved.-
dc.description.sponsorshipMechanik-
dc.language.isoeng-
dc.publisherNDT.net-
dc.subjectAerospace Industry-
dc.subjectElectric Potential-
dc.subjectFinite Element Method-
dc.titleNumerical calibration of direct current potential drop measuring: A comparison of FEM- and Bayesian filtering-based approaches-
dc.typeConference Object-
dc.relation.conference9th European Workshop on Structural Health Monitoring, EWSHM 2018-
local.submission.typeonly-metadata-
dc.type.conferenceObjectConference Paper-
item.grantfulltextnone-
item.languageiso639-1en-
item.fulltext_sNo Fulltext-
item.openairetypeConference Object-
item.fulltextNo Fulltext-
Appears in Collections:3 - Publication references (without fulltext)
Show simple item record

CORE Recommender

Google ScholarTM

Check


Items in openHSU are protected by copyright, with all rights reserved, unless otherwise indicated.