Structural damage detection using the Wiener filter

Madhuka Jayawardhana; Xinqun Zhu; Ranjith Liyanapathirana

Structural damage detection using the Wiener filter

Madhuka Jayawardhana, Xinqun Zhu, Ranjith Liyanapathirana

School of Engineering, Design & Built Environment

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

Damage detection and localization algorithms play a key role in any structural health monitoring system because the identification of damage in the underlying structure is the most important goal of such a system. This paper presents a novel decentralized structural damage detection and localization method using the Wiener filter. Identification of damage is carried out in each sensor independently and localization is carried out by pairing off the responses of neighbouring sensors. Verification of the accuracy of this method was done using response data from a series of tests carried out on a reinforced concrete structure. The method has shown promising results in structural damage detection and localization.

Original language	English
Title of host publication	From Materials to Structures: Advancement through Innovation: Proceedings of the 22nd Australasian Conference on the Mechanics of Structures and Materials, ACMSM, Sydney, Sydney, Australia, 11-14 December 2012
Publisher	CRC
Pages	915-920
Number of pages	6
ISBN (Print)	9780415633185
Publication status	Published - 2013
Event	Australasian Conference on the Mechanics of Structures and Materials - Duration: 11 Dec 2012 → …

Conference

Conference	Australasian Conference on the Mechanics of Structures and Materials
Period	11/12/12 → …

Keywords

structural health monitoring
wireless sensor networks
algorithms

Cite this

@inproceedings{1c8be28b7cc14de68db5489743c6b331,

title = "Structural damage detection using the Wiener filter",

abstract = "Damage detection and localization algorithms play a key role in any structural health monitoring system because the identification of damage in the underlying structure is the most important goal of such a system. This paper presents a novel decentralized structural damage detection and localization method using the Wiener filter. Identification of damage is carried out in each sensor independently and localization is carried out by pairing off the responses of neighbouring sensors. Verification of the accuracy of this method was done using response data from a series of tests carried out on a reinforced concrete structure. The method has shown promising results in structural damage detection and localization.",

keywords = "structural health monitoring, wireless sensor networks, algorithms",

author = "Madhuka Jayawardhana and Xinqun Zhu and Ranjith Liyanapathirana",

year = "2013",

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pages = "915--920",

booktitle = "From Materials to Structures: Advancement through Innovation: Proceedings of the 22nd Australasian Conference on the Mechanics of Structures and Materials, ACMSM, Sydney, Sydney, Australia, 11-14 December 2012",

publisher = "CRC",

note = "Australasian Conference on the Mechanics of Structures and Materials ; Conference date: 11-12-2012",

}

Jayawardhana, M, Zhu, X & Liyanapathirana, R 2013, Structural damage detection using the Wiener filter. in From Materials to Structures: Advancement through Innovation: Proceedings of the 22nd Australasian Conference on the Mechanics of Structures and Materials, ACMSM, Sydney, Sydney, Australia, 11-14 December 2012. CRC, pp. 915-920, Australasian Conference on the Mechanics of Structures and Materials, 11/12/12.

Structural damage detection using the Wiener filter. / Jayawardhana, Madhuka; Zhu, Xinqun; Liyanapathirana, Ranjith.
From Materials to Structures: Advancement through Innovation: Proceedings of the 22nd Australasian Conference on the Mechanics of Structures and Materials, ACMSM, Sydney, Sydney, Australia, 11-14 December 2012. CRC, 2013. p. 915-920.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Structural damage detection using the Wiener filter

AU - Jayawardhana, Madhuka

AU - Zhu, Xinqun

AU - Liyanapathirana, Ranjith

PY - 2013

Y1 - 2013

N2 - Damage detection and localization algorithms play a key role in any structural health monitoring system because the identification of damage in the underlying structure is the most important goal of such a system. This paper presents a novel decentralized structural damage detection and localization method using the Wiener filter. Identification of damage is carried out in each sensor independently and localization is carried out by pairing off the responses of neighbouring sensors. Verification of the accuracy of this method was done using response data from a series of tests carried out on a reinforced concrete structure. The method has shown promising results in structural damage detection and localization.

AB - Damage detection and localization algorithms play a key role in any structural health monitoring system because the identification of damage in the underlying structure is the most important goal of such a system. This paper presents a novel decentralized structural damage detection and localization method using the Wiener filter. Identification of damage is carried out in each sensor independently and localization is carried out by pairing off the responses of neighbouring sensors. Verification of the accuracy of this method was done using response data from a series of tests carried out on a reinforced concrete structure. The method has shown promising results in structural damage detection and localization.

KW - structural health monitoring

KW - wireless sensor networks

KW - algorithms

UR - http://handle.uws.edu.au:8081/1959.7/519699

M3 - Conference Paper

SN - 9780415633185

SP - 915

EP - 920

BT - From Materials to Structures: Advancement through Innovation: Proceedings of the 22nd Australasian Conference on the Mechanics of Structures and Materials, ACMSM, Sydney, Sydney, Australia, 11-14 December 2012

PB - CRC

T2 - Australasian Conference on the Mechanics of Structures and Materials

Y2 - 11 December 2012

ER -

Structural damage detection using the Wiener filter

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