Identification of building damage using ARMAX model: A parametric study
| 1 | Department of Civil, Environmental and Natural Resources Engineering, Division of Structural and Construction Engineering, Lulea University of Technology, Lulea, Sweden |
| 2 | University of Mosul, College of Engineering, Department of Civil Engineering, Iraq, |
| 3 | Department of Computer Science,
Electrical and Space Engineering, Division of Systems and Interaction, Lulea University of Technology, Lulea, Sweden, |
CORRESPONDING AUTHOR
Tarek Edrees Alqado
Department of Civil, Environmental and Natural Resources Engineering, Division of Structural and Construction Engineering, Lulea University of Technology, Lulea, Sweden, Porson, 97344 Lulea, Sweden
Department of Civil, Environmental and Natural Resources Engineering, Division of Structural and Construction Engineering, Lulea University of Technology, Lulea, Sweden, Porson, 97344 Lulea, Sweden
Submission date: 2016-07-06
Final revision date: 2016-09-09
Acceptance date: 2016-09-14
Publication date: 2016-09-19
Diagnostyka 2016;17(3):3–14
KEYWORDS
TOPICS
ABSTRACT
The Structural Identi fication approach is used
to identify and localize the existence of damage for
a steel frame. The black box linear parametric model
called Auto-Regressive Moving Average with eXternal
input (ARMAX) was utilized for the construction of
the Frequency Response Functions, based on simulation
results. The Singular Value Decomposition method
was adopted to identify how many signi ficant eigenvalues
exist and plot the Complex Mode Indicator Function
for the complete frame. Three damage indices were
adopted to evaluate the state of damage in the frame.
The results indicated that the ARMAX is a robust
scheme for structural damage detection.
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