Verification of Joint Input-State Estimation by In Situ Measurements on a Footbridge

K Maes; Eliz-Mari Lourens; K van Nimmen; P van den Broeck; P Guillaume; G de Roeck; G Lombaert

Verification of Joint Input-State Estimation by In Situ Measurements on a Footbridge

K Maes, Eliz-Mari Lourens, K van Nimmen, P van den Broeck, P Guillaume, G de Roeck, G Lombaert

Offshore Engineering

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

6 Citations (Scopus)

109 Downloads (Pure)

Abstract

An existing joint input-state estimation algorithm is extended for applications in
structural dynamics. The estimation of the input and the system states is performed in a minimum-variance unbiased way, based on a limited number of response
measurements and a system model. The noise statistics are estimated, as they are
essential for the joint input-state estimation and can be used to quantify the uncertainty on the estimated forces and system states. The methodology is illustrated using data from an in situ experiment on a footbridge.

Original language	English
Title of host publication	Proceedings of the IWSHM 2013
Editors	F-K Chang, A Guemes
Place of Publication	Stanford, California, USA
Publisher	DEStech publications, Inc.
Pages	343-350
Publication status	Published - 2013
Event	9th International Workshop on Structural Health Monitoring 2013 - Stanford, California, USA, Stanford, United States Duration: 10 Sept 2013 → 12 Sept 2013

Publication series

Name
Publisher	DEStech Publications, Inc.

Conference

Conference	9th International Workshop on Structural Health Monitoring 2013
Abbreviated title	IWHSM 2013
Country/Territory	United States
City	Stanford
Period	10/09/13 → 12/09/13

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ip-iwshm-maes-13aAccepted author manuscript, 750 KB

Cite this

@inproceedings{b32d9df697e8461c848a0f2052d4a4fa,

title = "Verification of Joint Input-State Estimation by In Situ Measurements on a Footbridge",

abstract = "An existing joint input-state estimation algorithm is extended for applications instructural dynamics. The estimation of the input and the system states is performed in a minimum-variance unbiased way, based on a limited number of responsemeasurements and a system model. The noise statistics are estimated, as they areessential for the joint input-state estimation and can be used to quantify the uncertainty on the estimated forces and system states. The methodology is illustrated using data from an in situ experiment on a footbridge.",

author = "K Maes and Eliz-Mari Lourens and {van Nimmen}, K and {van den Broeck}, P and P Guillaume and {de Roeck}, G and G Lombaert",

year = "2013",

language = "English",

publisher = "DEStech publications, Inc.",

pages = "343--350",

editor = "F-K Chang and A Guemes",

booktitle = "Proceedings of the IWSHM 2013",

note = "9th International Workshop on Structural Health Monitoring 2013, IWHSM 2013 ; Conference date: 10-09-2013 Through 12-09-2013",

}

Maes, K, Lourens, E-M, van Nimmen, K, van den Broeck, P, Guillaume, P, de Roeck, G & Lombaert, G 2013, Verification of Joint Input-State Estimation by In Situ Measurements on a Footbridge. in F-K Chang & A Guemes (eds), Proceedings of the IWSHM 2013. DEStech publications, Inc., Stanford, California, USA, pp. 343-350, 9th International Workshop on Structural Health Monitoring 2013, Stanford, United States, 10/09/13.

Verification of Joint Input-State Estimation by In Situ Measurements on a Footbridge. / Maes, K; Lourens, Eliz-Mari; van Nimmen, K et al.
Proceedings of the IWSHM 2013. ed. / F-K Chang; A Guemes. Stanford, California, USA: DEStech publications, Inc., 2013. p. 343-350.

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

TY - GEN

T1 - Verification of Joint Input-State Estimation by In Situ Measurements on a Footbridge

AU - Maes, K

AU - Lourens, Eliz-Mari

AU - van Nimmen, K

AU - van den Broeck, P

AU - Guillaume, P

AU - de Roeck, G

AU - Lombaert, G

PY - 2013

Y1 - 2013

N2 - An existing joint input-state estimation algorithm is extended for applications instructural dynamics. The estimation of the input and the system states is performed in a minimum-variance unbiased way, based on a limited number of responsemeasurements and a system model. The noise statistics are estimated, as they areessential for the joint input-state estimation and can be used to quantify the uncertainty on the estimated forces and system states. The methodology is illustrated using data from an in situ experiment on a footbridge.

AB - An existing joint input-state estimation algorithm is extended for applications instructural dynamics. The estimation of the input and the system states is performed in a minimum-variance unbiased way, based on a limited number of responsemeasurements and a system model. The noise statistics are estimated, as they areessential for the joint input-state estimation and can be used to quantify the uncertainty on the estimated forces and system states. The methodology is illustrated using data from an in situ experiment on a footbridge.

UR - http://resolver.tudelft.nl/uuid:b32d9df6-97e8-461c-848a-0f2052d4a4fa

M3 - Conference contribution

SP - 343

EP - 350

BT - Proceedings of the IWSHM 2013

A2 - Chang, F-K

A2 - Guemes, A

PB - DEStech publications, Inc.

CY - Stanford, California, USA

T2 - 9th International Workshop on Structural Health Monitoring 2013

Y2 - 10 September 2013 through 12 September 2013

ER -

Verification of Joint Input-State Estimation by In Situ Measurements on a Footbridge

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