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Damage Detection in Structures – Examples
University of Zagreb, Croatia.
University of Zagreb, Croatia.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Byggkonstruktion och brand.ORCID-id: 0000-0003-3731-7901
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Matematiska vetenskaper.ORCID-id: 0000-0001-7620-9386
Vise andre og tillknytning
2019 (engelsk)Inngår i: IABSE Symposium 2019: Towards a Resilent Built Environment - Risk and Asset Management, 2019Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Damage assessment of structures includes estimation of location and severity of damage. Quite often it is done by using changes of dynamic properties, such as natural frequencies, mode shapes and damping ratios, determined on undamaged and damaged structures. The basic principle is to use dynamic properties of a structure as indicators of any change of its stiffness and/or mass. In this paper, two new methods for damage detection are presented and compared. The first method is based on comparison of normalised modal shape vectors determined before and after damage. The second method uses so-called 𝑙1-norm regularized finite element model updating. Some important properties of these methods are demonstrated using simulations on a Kirchhoff plate. The pros and cons of the two methods are discussed. Unique aspects of the methods are highlighted.

sted, utgiver, år, opplag, sider
2019.
Emneord [en]
mode shape damage detection, finite element model updating, 𝑙1-norm regularization
HSV kategori
Forskningsprogram
Matematik; Byggkonstruktion
Identifikatorer
URN: urn:nbn:se:ltu:diva-73334OAI: oai:DiVA.org:ltu-73334DiVA, id: diva2:1299735
Konferanse
IABSE Symposium 2019, Towards a Resilient Built Environment - Risk and Asset Management, March 27-29, 2019, Guimarães, Portugal
Tilgjengelig fra: 2019-03-28 Laget: 2019-03-28 Sist oppdatert: 2019-04-15bibliografisk kontrollert

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