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Consideration of uncertainty in damage detection using interval analysis wavelet without baseline data

The effectiveness of vibration-based damage detection (VBDD) method has been demonstrated by researchers to provide reliable results. However, the existence of uncertainties in measurement and modelling data hinders the accuracy of results obtained from VBDD. Researches have yielded favourable resul...

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Main Authors:	Abdulkareem, M., Bakhary, N., Ganiyu, A., Nathaniel, O., Jassam, T. M., Mansob, R. A. A.
Format:	Article
Published:	Taylor and Francis Ltd. 2021
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/94625/ http://dx.doi.org/10.1080/24705314.2020.1862969
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id	my.utm.94625
record_format	eprints
spelling	my.utm.946252022-03-31T15:12:43Z http://eprints.utm.my/id/eprint/94625/ Consideration of uncertainty in damage detection using interval analysis wavelet without baseline data Abdulkareem, M. Bakhary, N. Ganiyu, A. Nathaniel, O. Jassam, T. M. Mansob, R. A. A. TA Engineering (General). Civil engineering (General) The effectiveness of vibration-based damage detection (VBDD) method has been demonstrated by researchers to provide reliable results. However, the existence of uncertainties in measurement and modelling data hinders the accuracy of results obtained from VBDD. Researches have yielded favourable results by integrating probabilistic method. Despite these successes, the probabilistic method faces the problem of obtaining an unbiased probabilistic distribution of uncertainties. Furthermore, the probabilistic method involves long and complex computations. In dealing with these problems, the nonprobabilistic method that requires no assumptions of the uncertainties distribution was proposed. It involves estimating only the upper and lower bounds of the uncertain parameter. However, the success of the nonprobabilistic method is shortened by its reliance on baseline (undamaged) data that is often not available for existing structures. In this study, a nonprobabilistic interval analysis wavelet (NIAW) method to consider uncertainties in damage identification without using baseline healthy data is proposed. The proposed method is demonstrated by using a plate structure and applying the symmetrical properties of the plate structure. The wavelet coefficient of the plate mode shape is divided along the line of symmetry to obtain wavelet coefficients WL and WR, and the bounds (upper and lower) of WL and WR are estimated. The PoDE and wavelet coefficient increment factor (WCIF) are estimated to obtain damage identity by using the bounds of WL and WR. The product of PoDE and WCIF provides the value of DMI which indicates the level of damage severity. This method is demonstrated using numerical models of a steel plate. The results show that the proposed method accurately identifies damage when noise-contaminated mode shape data is applied. Taylor and Francis Ltd. 2021 Article PeerReviewed Abdulkareem, M. and Bakhary, N. and Ganiyu, A. and Nathaniel, O. and Jassam, T. M. and Mansob, R. A. A. (2021) Consideration of uncertainty in damage detection using interval analysis wavelet without baseline data. Journal of Structural Integrity and Maintenance, 6 (2). pp. 99-109. ISSN 2470-5314 http://dx.doi.org/10.1080/24705314.2020.1862969 DOI: 10.1080/24705314.2020.1862969
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Abdulkareem, M. Bakhary, N. Ganiyu, A. Nathaniel, O. Jassam, T. M. Mansob, R. A. A. Consideration of uncertainty in damage detection using interval analysis wavelet without baseline data
description	The effectiveness of vibration-based damage detection (VBDD) method has been demonstrated by researchers to provide reliable results. However, the existence of uncertainties in measurement and modelling data hinders the accuracy of results obtained from VBDD. Researches have yielded favourable results by integrating probabilistic method. Despite these successes, the probabilistic method faces the problem of obtaining an unbiased probabilistic distribution of uncertainties. Furthermore, the probabilistic method involves long and complex computations. In dealing with these problems, the nonprobabilistic method that requires no assumptions of the uncertainties distribution was proposed. It involves estimating only the upper and lower bounds of the uncertain parameter. However, the success of the nonprobabilistic method is shortened by its reliance on baseline (undamaged) data that is often not available for existing structures. In this study, a nonprobabilistic interval analysis wavelet (NIAW) method to consider uncertainties in damage identification without using baseline healthy data is proposed. The proposed method is demonstrated by using a plate structure and applying the symmetrical properties of the plate structure. The wavelet coefficient of the plate mode shape is divided along the line of symmetry to obtain wavelet coefficients WL and WR, and the bounds (upper and lower) of WL and WR are estimated. The PoDE and wavelet coefficient increment factor (WCIF) are estimated to obtain damage identity by using the bounds of WL and WR. The product of PoDE and WCIF provides the value of DMI which indicates the level of damage severity. This method is demonstrated using numerical models of a steel plate. The results show that the proposed method accurately identifies damage when noise-contaminated mode shape data is applied.
format	Article
author	Abdulkareem, M. Bakhary, N. Ganiyu, A. Nathaniel, O. Jassam, T. M. Mansob, R. A. A.
author_facet	Abdulkareem, M. Bakhary, N. Ganiyu, A. Nathaniel, O. Jassam, T. M. Mansob, R. A. A.
author_sort	Abdulkareem, M.
title	Consideration of uncertainty in damage detection using interval analysis wavelet without baseline data
title_short	Consideration of uncertainty in damage detection using interval analysis wavelet without baseline data
title_full	Consideration of uncertainty in damage detection using interval analysis wavelet without baseline data
title_fullStr	Consideration of uncertainty in damage detection using interval analysis wavelet without baseline data
title_full_unstemmed	Consideration of uncertainty in damage detection using interval analysis wavelet without baseline data
title_sort	consideration of uncertainty in damage detection using interval analysis wavelet without baseline data
publisher	Taylor and Francis Ltd.
publishDate	2021
url	http://eprints.utm.my/id/eprint/94625/ http://dx.doi.org/10.1080/24705314.2020.1862969
_version_	1729703198621433856
score	13.211869

Consideration of uncertainty in damage detection using interval analysis wavelet without baseline data

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