Sensor network for dynamic ice-force identification: The Hanko-1 channel marker case study

Torodd S. Nord; Ole Oiseth; O.W. Petersen; Eliz-Mari Lourens

Sensor network for dynamic ice-force identification: The Hanko-1 channel marker case study

Torodd S. Nord, Ole Oiseth, O.W. Petersen, Eliz-Mari Lourens

Offshore Engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

A measurement campaign at the Hanko-1 channel marker in the Gulf of Finland is planned in order to monitor the forces leading to ice-induced vibrations by means of force identification. It is planned to identify the ice forces using a joint input-state estimation algorithm in conjunction with a modally reduced order model. The methodology is presented together with a finite element model and a detailed analysis that determines the optimal sensor network. The novel approach used to determine the optimal response measurement types and locations ensures the identifiability of the dynamic ice forces from only a limited number of sensors and a selection of vibration modes. The optimal sensor locations are discussed in view of specific challenges posed by the arctic environment.
INTRODUCTION

Original language	English
Title of host publication	Proceedings of the 23rd international conference on port and ocean engineering under arctic conditions, POAC15
Editors	K Hoyland, E Kim, R Lubbad, W Lu
Place of Publication	Trondheim
Publisher	Lulea University of Technology
Number of pages	11
ISBN (Print)	9781510809192
Publication status	Published - 2015
Event	23rd International conference on port and ocean engineering under arctic conditions, POAC15, Trondheim, Norway - Trondheim, Trondheim, Norway Duration: 14 Jun 2015 → 18 Jun 2015

Publication series

Name
Publisher	Lulea University of Technology

Conference

Conference	23rd International conference on port and ocean engineering under arctic conditions, POAC15, Trondheim, Norway
Abbreviated title	POAC 15
Country/Territory	Norway
City	Trondheim
Period	14/06/15 → 18/06/15

Bibliographical note

paper niet opgenomen in de repository

Cite this

@inproceedings{fa460d4e82f449b0a2a80de8268f550f,

title = "Sensor network for dynamic ice-force identification: The Hanko-1 channel marker case study",

abstract = "A measurement campaign at the Hanko-1 channel marker in the Gulf of Finland is planned in order to monitor the forces leading to ice-induced vibrations by means of force identification. It is planned to identify the ice forces using a joint input-state estimation algorithm in conjunction with a modally reduced order model. The methodology is presented together with a finite element model and a detailed analysis that determines the optimal sensor network. The novel approach used to determine the optimal response measurement types and locations ensures the identifiability of the dynamic ice forces from only a limited number of sensors and a selection of vibration modes. The optimal sensor locations are discussed in view of specific challenges posed by the arctic environment.INTRODUCTION",

author = "Nord, {Torodd S.} and Ole Oiseth and O.W. Petersen and Eliz-Mari Lourens",

note = "paper niet opgenomen in de repository; 23rd International conference on port and ocean engineering under arctic conditions, POAC15, Trondheim, Norway, POAC 15 ; Conference date: 14-06-2015 Through 18-06-2015",

year = "2015",

language = "English",

isbn = "9781510809192",

publisher = "Lulea University of Technology",

editor = "K Hoyland and E Kim and R Lubbad and W Lu",

booktitle = "Proceedings of the 23rd international conference on port and ocean engineering under arctic conditions, POAC15",

}

Nord, TS, Oiseth, O, Petersen, OW & Lourens, E-M 2015, Sensor network for dynamic ice-force identification: The Hanko-1 channel marker case study. in K Hoyland, E Kim, R Lubbad & W Lu (eds), Proceedings of the 23rd international conference on port and ocean engineering under arctic conditions, POAC15. Lulea University of Technology, Trondheim, 23rd International conference on port and ocean engineering under arctic conditions, POAC15, Trondheim, Norway, Trondheim, Norway, 14/06/15.

Sensor network for dynamic ice-force identification: The Hanko-1 channel marker case study. / Nord, Torodd S.; Oiseth, Ole; Petersen, O.W. et al.
Proceedings of the 23rd international conference on port and ocean engineering under arctic conditions, POAC15. ed. / K Hoyland; E Kim; R Lubbad; W Lu. Trondheim: Lulea University of Technology, 2015.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Sensor network for dynamic ice-force identification

T2 - 23rd International conference on port and ocean engineering under arctic conditions, POAC15, Trondheim, Norway

AU - Nord, Torodd S.

AU - Oiseth, Ole

AU - Petersen, O.W.

AU - Lourens, Eliz-Mari

N1 - paper niet opgenomen in de repository

PY - 2015

Y1 - 2015

N2 - A measurement campaign at the Hanko-1 channel marker in the Gulf of Finland is planned in order to monitor the forces leading to ice-induced vibrations by means of force identification. It is planned to identify the ice forces using a joint input-state estimation algorithm in conjunction with a modally reduced order model. The methodology is presented together with a finite element model and a detailed analysis that determines the optimal sensor network. The novel approach used to determine the optimal response measurement types and locations ensures the identifiability of the dynamic ice forces from only a limited number of sensors and a selection of vibration modes. The optimal sensor locations are discussed in view of specific challenges posed by the arctic environment.INTRODUCTION

AB - A measurement campaign at the Hanko-1 channel marker in the Gulf of Finland is planned in order to monitor the forces leading to ice-induced vibrations by means of force identification. It is planned to identify the ice forces using a joint input-state estimation algorithm in conjunction with a modally reduced order model. The methodology is presented together with a finite element model and a detailed analysis that determines the optimal sensor network. The novel approach used to determine the optimal response measurement types and locations ensures the identifiability of the dynamic ice forces from only a limited number of sensors and a selection of vibration modes. The optimal sensor locations are discussed in view of specific challenges posed by the arctic environment.INTRODUCTION

M3 - Conference contribution

SN - 9781510809192

BT - Proceedings of the 23rd international conference on port and ocean engineering under arctic conditions, POAC15

A2 - Hoyland, K

A2 - Kim, E

A2 - Lubbad, R

A2 - Lu, W

PB - Lulea University of Technology

CY - Trondheim

Y2 - 14 June 2015 through 18 June 2015

ER -

Sensor network for dynamic ice-force identification: The Hanko-1 channel marker case study

Abstract

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Conference

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