Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Failure risk assessment by integration of probabilistic fracture mechanics and quantitative non-destructive inspection - a structural health monitoring view

: Cioclov, Dimitru Dragos

Volltext urn:nbn:de:0011-n-2592824 (911 KByte PDF)
MD5 Fingerprint: a50ed0745fd0883fca7c74c1d31c0ce4
Erstellt am: 18.9.2013

Boller, Christian (Ed.); Janocha, Hartmut (Ed.) ; Univ. des Saarlandes, Saarbrücken; Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren -IZFP-, Saarbrücken:
New trends in smart technologies : 5th ECCOMAS Thematic Conference on Smart Structures and Materials held in Saarbrücken/Germany in the summer of 2011
Stuttgart: Fraunhofer Verlag, 2013
ISBN: 3-8396-0577-6
ISBN: 978-3-8396-0577-6
Thematic Conference on Smart Structures and Materials (SMART) <5, 2011, Saarbrücken>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IZFP ()

Intermittent non-destructive inspection has been used since long time for checking the integrity of load-carrying structures and mechanical components. With the tremendous contemporary development of sensor technology, in conjunction with advanced wireless communications and the support of the massive computation facilities, continuous monitoring of structural damage during operation and time-continuously assessment of structural integrity, for the prediction of structural remaining life, in conditions of reliable and optimized costs of operation, is, nowadays, a vigorous endeavour for the next years to come. The article addresses the scientific and engineering bases of Structural Health Monitoring (SHM) comparatively with the traditional approach to structural inspection and reliability assessment, outlining that beyond the new sensing sophisticated technology, much of the well-established methods based on models derived from fracture mechanics, quantitative non-destructive testing evaluation in probabilistic quantitative terms, are naturally integrated in SHM technology. The article is focused on civil aircraft structures outlining how the conjoint construct of Probabilistic Fracture Mechanics (PFM) and methods of quantitative non-destructive inspection (NDI) is implemented in SHM evaluations with the aid of massive computer simulations. Probabilistic substantiated of the warning time at the attainment of various levels of fatigue crack extension in the skin of a fuselage structure is assessed having as support a virtual SHM system which simulates acquired data processing performed onboard or in remote stations by wireless data transmission. A comparison of failure risk prediction is presented when aircraft operate under risk management applying intermittent NDI at scheduled inspection time (when the aircraft is grounded) on the one hand and continuous in time by SHM, on the other hand. The reported results are intended to demonstrate that by integration of existing assessment methodologies of PFM coupled with quantitative NDI can parallel SHM by massive computer simulation having as a result refined prognostics and management of failure risks and optimization of operational costs.