Application of frequency domain ARX models and extreme value statistics to damage detection

2003 ◽  
Author(s):  
Timothy R. Fasel ◽  
Hoon Sohn ◽  
Charles R. Farrar
Keyword(s):  
Damage Detection ◽  
Frequency Domain ◽  
Extreme Value ◽  
Extreme Value Statistics

Application of Frequency Domain ARX Models and Extreme Value Statistics to Impedance-Based Damage Detection

Aerospace ◽  
2003 ◽  
Author(s):  
Timothy R. Fasel ◽  
Hoon Sohn ◽  
Gyuhae Park ◽  
Charles R. Farrar
Keyword(s):  
Damage Detection ◽  
Frequency Domain ◽  
Extreme Value ◽  
Superior Performance ◽  
Extreme Value Statistics ◽  
Arx Model ◽  
Building Model ◽  
System Input ◽  
Auto Regressive ◽  
Non Gaussian

In this paper, the applicability of an auto-regressive model with exogenous inputs (ARX) in the frequency domain to structural health monitoring (SHM) is established. Damage sensitive features that explicitly consider nonlinear system input/output relationships are extracted from the ARX model. Furthermore, because of the non-Gaussian nature of the extracted features, Extreme Value Statistics (EVS) is employed to develop a robust damage classifier. EVS provides superior performance to standard statistical methods because the data of interest are in the tails (extremes) of the damage sensitive feature distribution. The suitability of the ARX model, combined with EVS, to nonlinear damage detection is demonstrated with an impedance-based method that uses piezoelectric (PZT) material as both actuators and sensors. The analyzed data is obtained from a laboratory experiment of a three-story building model.

Damage detection in mechanical structures using extreme value statistics

2002 ◽  
Author(s):  
Keith Worden ◽  
David W. Allen ◽  
Hoon Sohn ◽  
Charles R. Farrar
Keyword(s):  
Damage Detection ◽  
Extreme Value ◽  
Extreme Value Statistics

Active sensing using impedance-based ARX models and extreme value statistics for damage detection

2005 ◽  
Vol 34 (7) ◽  
pp. 763-785 ◽  
Author(s):  
Timothy R. Fasel ◽  
Hoon Sohn ◽  
Gyuhae Park ◽  
Charles R. Farrar
Keyword(s):  
Damage Detection ◽  
Extreme Value ◽  
Extreme Value Statistics ◽  
Active Sensing

scholarly journals A frequency‐domain approach for damage detection in welded structures

2021 ◽  
Author(s):  
Camilla Ronchei ◽  
Sabrina Vantadori ◽  
Andrea Carpinteri ◽  
Ignacio Iturrioz ◽  
Roberto Issopo Rodrigues ◽  
...  
Keyword(s):  
Damage Detection ◽  
Frequency Domain ◽  
Welded Structures ◽  
Frequency Domain Approach

On the spectral shape of SEP events: An extreme value statistics approach

2013 ◽  
Author(s):  
M. Laurenza ◽  
G. Consolini ◽  
M. Storini ◽  
A. Damiani
Keyword(s):  
Extreme Value ◽  
Spectral Shape ◽  
Extreme Value Statistics

scholarly journals Use of Time- and Frequency-Domain Approaches for Damage Detection in Civil Engineering Structures

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
V. H. Nguyen ◽  
J. Mahowald ◽  
S. Maas ◽  
J.-C. Golinval
Keyword(s):  
Damage Detection ◽  
Frequency Domain ◽  
Prestressed Concrete ◽  
Civil Engineering ◽  
Damage Identification ◽  
Real Life ◽  
Hankel Matrix ◽  
Principal Component ◽  
Engineering Structures ◽  
Civil Engineering Structures

The aim of this paper is to apply both time- and frequency-domain-based approaches on real-life civil engineering structures and to assess their capability for damage detection. The methodology is based on Principal Component Analysis of the Hankel matrix built from output-only measurements and of Frequency Response Functions. Damage detection is performed using the concept of subspace angles between a current (possibly damaged state) and a reference (undamaged) state. The first structure is the Champangshiehl Bridge located in Luxembourg. Several damage levels were intentionally created by cutting a growing number of prestressed tendons and vibration data were acquired by the University of Luxembourg for each damaged state. The second example consists in reinforced and prestressed concrete panels. Successive damages were introduced in the panels by loading heavy weights and by cutting steel wires. The illustrations show different consequences in damage identification by the considered techniques.

scholarly journals Bestimmung seltener Starkniederschläge kurzer Dauer - Fallbeispiele im Vergleich mit den schweizerischen Starkniederschlagskarten | Determination of Rare Rainfall Intensities of Short-Duration - Case Studies Compared with Maps of Intense Rainfall in Switzerland

1999 ◽  
Vol 150 (6) ◽  
pp. 209-218 ◽  
Author(s):  
Felix Forster ◽  
Walter Baumgartner
Keyword(s):  
Case Studies ◽  
Short Duration ◽  
Extreme Value ◽  
Extreme Value Statistics ◽  
Intense Rainfall

The two maps of intense rainfall in the Hydrological Atlas of Switzerland (1992, 1997) are compared to data of an evaluation of extreme value statistics. The results are transferred to recommendations for practioners.

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