Possibilistic Approach for Damage Detection in Structural Health Monitoring

This article suggests the process of structural health monitoring (SHM) in the context of a nonstatistical damage detection paradigm. We particularly focus on applying the theory of possibility to the damage detection problem. The basic idea behind the proposed approach is that the application of possibility theory does not require probabilistic knowledge or assumptions on the damage feature and thus encompasses aleatoric and epistemic types of uncertainties. The approach is not damage feature dependent and thus is generic for use in many SHM systems. Additionally, two new damage metrics are introduced. These metrics extract information concerning damage evidence from observations performed at unknown health states of structures. Damage detection with the aid of the proposed approach is demonstrated by means of a case study.

Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/07339445
Supplemental Notes:
- Abstract reprinted with permission from the American Society of Civil Engineers
Authors:
- Altunok, E
- Taha, Mahmoud M Reda
- Ross, T J
Publication Date: 2007-9

Language

English

Media Info

Media Type: Print
Features: Figures; References; Tables;
Pagination: pp 1247-1256
Serial:
- Journal of Structural Engineering
- Volume: 133
- Issue Number: 9
- Publisher: American Society of Civil Engineers
- ISSN: 0733-9445
- Serial URL: http://ascelibrary.org/loi/jsendh

Subject/Index Terms

TRT Terms: Case studies; Structural health monitoring; Structures; Theory; Uncertainty
Uncontrolled Terms: Attributes (Features); Damage detection; Damages; Dependence; Paradigm; Possibilistic methods
Subject Areas: Bridges and other structures; Design; Highways; I24: Design of Bridges and Retaining Walls; I25: Design of Tunnels;

Filing Info

Accession Number: 01076526
Record Type: Publication
Files: TRIS
Created Date: Sep 5 2007 2:36PM