Structural health monitoring usingwavelet transformnumerically and experimentally
Joint Authors
Silmi, Sarah
Dasuqi, Ahmad
Bakri, Atif
Murad, Sharif
Source
Journal of al Azhar University : Engineering Sector
Issue
Vol. 14, Issue 50 (31 Jan. 2019)19 p.
Publisher
al-Azhar University Faculty of Engineering
Publication Date
2019-01-31
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract EN
Monitoring structure condition and detecting structural damage at the earliest possible stage have
been a focus research recently.
In this paper, a procedure for damage detection using wavelet
analysis is presented.
Damage identification in beams includes two steps.
The first step is to detect
the damage location, and the second step is to calculate the damage severity.
A numerical simulation
by Matlab is created to calculate the beam mode shapes.
The damage location could be obtained by
analyzing the fundamental mode shape by wavelet analysis.
Effects of noise on detecting the damage
are analyzed.
Experimental tests are done to validate this technique in detecting damage location and
damage severity.
Two wavelet transforms (continuous, discrete) are used to analyze both the
calculated and measured fundamental mode shape.
Detailed parametric studies were conducted by
changing damage location, intensity and wavelet families.
These studies showed that the proposed
technique could accurately predict the damage location and its severity.
American Psychological Association (APA)
Silmi, Sarah& Dasuqi, Ahmad& Murad, Sharif& Bakri, Atif. 2019. Structural health monitoring usingwavelet transformnumerically and experimentally. Journal of al Azhar University : Engineering Sector،Vol. 14, no. 50.
https://search.emarefa.net/detail/BIM-1065669
Modern Language Association (MLA)
Murad, Sharif…[et al.]. Structural health monitoring usingwavelet transformnumerically and experimentally. Journal of al Azhar University : Engineering Sector Vol. 14, no. 50 (Jan. 2019).
https://search.emarefa.net/detail/BIM-1065669
American Medical Association (AMA)
Silmi, Sarah& Dasuqi, Ahmad& Murad, Sharif& Bakri, Atif. Structural health monitoring usingwavelet transformnumerically and experimentally. Journal of al Azhar University : Engineering Sector. 2019. Vol. 14, no. 50.
https://search.emarefa.net/detail/BIM-1065669
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1065669