Damage Identification of Offshore Jacket Structure via a Kalman Filter Based Nonlinear State Estimation

Luigi Caglio; Amirali Sadeqi; Henrik Stang; Jesper Tychsen; Jørgen Svejgaard Nielsen; Evangelos Katsanos

Damage Identification of Offshore Jacket Structure via a Kalman Filter Based Nonlinear State Estimation

Luigi Caglio, Amirali Sadeqi, Henrik Stang, Jesper Tychsen, Jørgen Svejgaard Nielsen, Evangelos Katsanos

TotalEnergies EP

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

Abstract

Offshore structures, functioning in harsh and extreme environmental conditions, may experience structural damages that can be challenging to reliably identify with conventional methods, especially if the damages do not correspond to a permanent change in the modal properties. In this study, a state-of-the-art Kalman Filter (KF) framework aided by a Finite Element (FE) analysis is employed for nonlinear state estimation and, consequently, structural damage identification of an offshore steel jacket structure subjected to unknown extreme wave loads. The outcome of this approach enables the estimation of the nonlinear structural response that, in turn, allows the localization and quantification of the damage.

Original language	English
Title of host publication	Proceedings of the 33rd (2023) International Ocean and Polar Engineering Conference
Publisher	International Society of Offshore and Polar Engineers (ISOPE)
Publication date	2023
Pages	3289-3295
ISBN (Electronic)	978-1-880653-80-7
Publication status	Published - 2023
Event	33^rd International Ocean and Polar Engineering Conference - Ottawa, Canada Duration: 19 Jun 2023 → 23 Jun 2023 https://www.isope.org/

Conference

Conference	33^rd International Ocean and Polar Engineering Conference
Country/Territory	Canada
City	Ottawa
Period	19/06/2023 → 23/06/2023
Internet address	https://www.isope.org/

Series	Proceedings of the International Offshore and Polar Engineering Conference
ISSN	1098-6189

Keywords

Damage identification
Kalman Filter
Nonlinear finite element model
Nonlinear system
State estimation
Structural Health Monitoring
Unknown input

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Caglio, L., Sadeqi, A., Stang, H., Tychsen, J., Nielsen, J. S., & Katsanos, E. (2023). Damage Identification of Offshore Jacket Structure via a Kalman Filter Based Nonlinear State Estimation. In Proceedings of the 33rd (2023) International Ocean and Polar Engineering Conference (pp. 3289-3295). International Society of Offshore and Polar Engineers (ISOPE).

Caglio, Luigi ; Sadeqi, Amirali ; Stang, Henrik et al. / Damage Identification of Offshore Jacket Structure via a Kalman Filter Based Nonlinear State Estimation. Proceedings of the 33rd (2023) International Ocean and Polar Engineering Conference. International Society of Offshore and Polar Engineers (ISOPE), 2023. pp. 3289-3295 (Proceedings of the International Offshore and Polar Engineering Conference).

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abstract = "Offshore structures, functioning in harsh and extreme environmental conditions, may experience structural damages that can be challenging to reliably identify with conventional methods, especially if the damages do not correspond to a permanent change in the modal properties. In this study, a state-of-the-art Kalman Filter (KF) framework aided by a Finite Element (FE) analysis is employed for nonlinear state estimation and, consequently, structural damage identification of an offshore steel jacket structure subjected to unknown extreme wave loads. The outcome of this approach enables the estimation of the nonlinear structural response that, in turn, allows the localization and quantification of the damage. ",

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series = "Proceedings of the International Offshore and Polar Engineering Conference",

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booktitle = "Proceedings of the 33rd (2023) International Ocean and Polar Engineering Conference",

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Caglio, L , Sadeqi, A , Stang, H, Tychsen, J, Nielsen, JS & Katsanos, E 2023, Damage Identification of Offshore Jacket Structure via a Kalman Filter Based Nonlinear State Estimation. in Proceedings of the 33rd (2023) International Ocean and Polar Engineering Conference. International Society of Offshore and Polar Engineers (ISOPE), Proceedings of the International Offshore and Polar Engineering Conference, pp. 3289-3295, 33^rd International Ocean and Polar Engineering Conference, Ottawa, Ontario, Canada, 19/06/2023.

Damage Identification of Offshore Jacket Structure via a Kalman Filter Based Nonlinear State Estimation. / Caglio, Luigi ; Sadeqi, Amirali ; Stang, Henrik et al.
Proceedings of the 33rd (2023) International Ocean and Polar Engineering Conference. International Society of Offshore and Polar Engineers (ISOPE), 2023. p. 3289-3295 (Proceedings of the International Offshore and Polar Engineering Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

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T1 - Damage Identification of Offshore Jacket Structure via a Kalman Filter Based Nonlinear State Estimation

AU - Caglio, Luigi

AU - Sadeqi, Amirali

AU - Stang, Henrik

AU - Tychsen, Jesper

AU - Nielsen, Jørgen Svejgaard

AU - Katsanos, Evangelos

PY - 2023

Y1 - 2023

N2 - Offshore structures, functioning in harsh and extreme environmental conditions, may experience structural damages that can be challenging to reliably identify with conventional methods, especially if the damages do not correspond to a permanent change in the modal properties. In this study, a state-of-the-art Kalman Filter (KF) framework aided by a Finite Element (FE) analysis is employed for nonlinear state estimation and, consequently, structural damage identification of an offshore steel jacket structure subjected to unknown extreme wave loads. The outcome of this approach enables the estimation of the nonlinear structural response that, in turn, allows the localization and quantification of the damage.

AB - Offshore structures, functioning in harsh and extreme environmental conditions, may experience structural damages that can be challenging to reliably identify with conventional methods, especially if the damages do not correspond to a permanent change in the modal properties. In this study, a state-of-the-art Kalman Filter (KF) framework aided by a Finite Element (FE) analysis is employed for nonlinear state estimation and, consequently, structural damage identification of an offshore steel jacket structure subjected to unknown extreme wave loads. The outcome of this approach enables the estimation of the nonlinear structural response that, in turn, allows the localization and quantification of the damage.

KW - Damage identification

KW - Kalman Filter

KW - Nonlinear finite element model

KW - Nonlinear system

KW - State estimation

KW - Structural Health Monitoring

KW - Unknown input

M3 - Conference abstract in proceedings

T3 - Proceedings of the International Offshore and Polar Engineering Conference

SP - 3289

EP - 3295

BT - Proceedings of the 33rd (2023) International Ocean and Polar Engineering Conference

PB - International Society of Offshore and Polar Engineers (ISOPE)

T2 - 33<sup>rd</sup> International Ocean and Polar Engineering Conference

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ER -

Caglio L , Sadeqi A , Stang H, Tychsen J, Nielsen JS, Katsanos E. Damage Identification of Offshore Jacket Structure via a Kalman Filter Based Nonlinear State Estimation. In Proceedings of the 33rd (2023) International Ocean and Polar Engineering Conference. International Society of Offshore and Polar Engineers (ISOPE). 2023. p. 3289-3295. (Proceedings of the International Offshore and Polar Engineering Conference).

Damage Identification of Offshore Jacket Structure via a Kalman Filter Based Nonlinear State Estimation

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