An Inverse Model Reduction Method for Finite Element Model Updating in Structural Health Monitoring

Publikation: KonferenzbeitragVortragsfolienForschung

Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
PublikationsstatusVeröffentlicht - 24 Sept. 2019
VeranstaltungWind Energy Science Conference 2019 - Cork, Irland
Dauer: 17 Juni 201920 Juni 2019

Konferenz

KonferenzWind Energy Science Conference 2019
KurztitelWESC 2019
Land/GebietIrland
OrtCork
Zeitraum17 Juni 201920 Juni 2019

Abstract

Model-based structural health monitoring using an updating scheme can detect, localise and quantify
damage. The model updating is achieved by means of numerical optimisation, which requires a large
number of finite element simulations to achieve convergence. The computational cost of this process can
be lowered by reducing complex finite element models to numerically more efficient representations.
In wind energy, slender shell structures like the tower structure and the wind turbine rotor blades are
reduced to beam models for structural mechanics computations. The usual way to obtain distributed beam
properties is to extract axial stiffness parameters as well as moments of inertia for several cross-sections
along the length of the considered structure. This can be achieved analytically or by two-dimensional finite
element calculations. In case of widely varying cross-sectional properties, the discretisation along the
longitudinal axis of the structure has to be very fine in order to accurately represent its global behaviour.

Zitieren

An Inverse Model Reduction Method for Finite Element Model Updating in Structural Health Monitoring. / Hofmeister, Benedikt; Bruns, Marlene Theresa; Grießmann, Tanja et al.
2019. Wind Energy Science Conference 2019, Cork, Irland.

Publikation: KonferenzbeitragVortragsfolienForschung

Hofmeister B, Bruns MT, Grießmann T, Rolfes R. An Inverse Model Reduction Method for Finite Element Model Updating in Structural Health Monitoring. 2019. Wind Energy Science Conference 2019, Cork, Irland. doi: 10.5281/zenodo.3459166
Download
@conference{921258f76d904c05964c65fb581103de,
title = "An Inverse Model Reduction Method for Finite Element Model Updating in Structural Health Monitoring",
abstract = "Model-based structural health monitoring using an updating scheme can detect, localise and quantifydamage. The model updating is achieved by means of numerical optimisation, which requires a largenumber of finite element simulations to achieve convergence. The computational cost of this process canbe lowered by reducing complex finite element models to numerically more efficient representations.In wind energy, slender shell structures like the tower structure and the wind turbine rotor blades arereduced to beam models for structural mechanics computations. The usual way to obtain distributed beamproperties is to extract axial stiffness parameters as well as moments of inertia for several cross-sectionsalong the length of the considered structure. This can be achieved analytically or by two-dimensional finiteelement calculations. In case of widely varying cross-sectional properties, the discretisation along thelongitudinal axis of the structure has to be very fine in order to accurately represent its global behaviour.",
author = "Benedikt Hofmeister and Bruns, {Marlene Theresa} and Tanja Grie{\ss}mann and Raimund Rolfes",
year = "2019",
month = sep,
day = "24",
doi = "10.5281/zenodo.3459166",
language = "English",
note = "Wind Energy Science Conference 2019 ; Conference date: 17-06-2019 Through 20-06-2019",

}

Download

TY - CONF

T1 - An Inverse Model Reduction Method for Finite Element Model Updating in Structural Health Monitoring

AU - Hofmeister, Benedikt

AU - Bruns, Marlene Theresa

AU - Grießmann, Tanja

AU - Rolfes, Raimund

PY - 2019/9/24

Y1 - 2019/9/24

N2 - Model-based structural health monitoring using an updating scheme can detect, localise and quantifydamage. The model updating is achieved by means of numerical optimisation, which requires a largenumber of finite element simulations to achieve convergence. The computational cost of this process canbe lowered by reducing complex finite element models to numerically more efficient representations.In wind energy, slender shell structures like the tower structure and the wind turbine rotor blades arereduced to beam models for structural mechanics computations. The usual way to obtain distributed beamproperties is to extract axial stiffness parameters as well as moments of inertia for several cross-sectionsalong the length of the considered structure. This can be achieved analytically or by two-dimensional finiteelement calculations. In case of widely varying cross-sectional properties, the discretisation along thelongitudinal axis of the structure has to be very fine in order to accurately represent its global behaviour.

AB - Model-based structural health monitoring using an updating scheme can detect, localise and quantifydamage. The model updating is achieved by means of numerical optimisation, which requires a largenumber of finite element simulations to achieve convergence. The computational cost of this process canbe lowered by reducing complex finite element models to numerically more efficient representations.In wind energy, slender shell structures like the tower structure and the wind turbine rotor blades arereduced to beam models for structural mechanics computations. The usual way to obtain distributed beamproperties is to extract axial stiffness parameters as well as moments of inertia for several cross-sectionsalong the length of the considered structure. This can be achieved analytically or by two-dimensional finiteelement calculations. In case of widely varying cross-sectional properties, the discretisation along thelongitudinal axis of the structure has to be very fine in order to accurately represent its global behaviour.

U2 - 10.5281/zenodo.3459166

DO - 10.5281/zenodo.3459166

M3 - Slides to presentation

T2 - Wind Energy Science Conference 2019

Y2 - 17 June 2019 through 20 June 2019

ER -

Von denselben Autoren