Influence of Environmental Conditions and Damage on Closely Spaced Modes

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Details

Original languageEnglish
Title of host publicationEuropean Workshop on Structural Health Monitoring
EditorsPiervincenzo Rizzo, Alberto Milazzo
Pages902-911
Number of pages10
Volume3
Publication statusPublished - 22 Jun 2022

Publication series

NameLecture Notes in Civil Engineering
Volume270 LNCE
ISSN (Print)2366-2557
ISSN (electronic)2366-2565

Abstract

In this work, the influence of environmental conditions and damage on structures with closely spaced modes is investigated. Closely spaced bending modes are typical for symmetrical structures, such as towers. When monitoring such structures, identifying the mode shapes in particular is a challenge. In addition to environmental effects, the identification uncertainty is elevated for closely spaced modes, which leads to higher scatter in the identified mode shapes. In order to be able to investigate and quantify the influences, data from a structure with repairable damage is used. In particular, the investigation is carried out on long-term measurement data of the Leibniz University Test Structure for Monitoring (LUMO). LUMO enables the examination of different damage positions under ambient excitation and environmental conditions. For the identification, Bayesian Operational Modal Analysis (BAYOMA) is used. By considering the uncertainty of the modal parameters, especially for the mode shapes, a better understanding of the influence of damage and environmental conditions on the structure can be obtained. This is helpful for further monitoring stages, such as damage localisation using modal updating.

Keywords

    Closely spaced modes, Damage detection, Environmental effects

ASJC Scopus subject areas

Cite this

Influence of Environmental Conditions and Damage on Closely Spaced Modes. / Jonscher, Clemens; Hofmeister, Benedikt; Grießmann, Tanja et al.
European Workshop on Structural Health Monitoring. ed. / Piervincenzo Rizzo; Alberto Milazzo. Vol. 3 2022. p. 902-911 (Lecture Notes in Civil Engineering; Vol. 270 LNCE).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Jonscher, C, Hofmeister, B, Grießmann, T & Rolfes, R 2022, Influence of Environmental Conditions and Damage on Closely Spaced Modes. in P Rizzo & A Milazzo (eds), European Workshop on Structural Health Monitoring. vol. 3, Lecture Notes in Civil Engineering, vol. 270 LNCE, pp. 902-911. https://doi.org/10.1007/978-3-031-07322-9_91
Jonscher, C., Hofmeister, B., Grießmann, T., & Rolfes, R. (2022). Influence of Environmental Conditions and Damage on Closely Spaced Modes. In P. Rizzo, & A. Milazzo (Eds.), European Workshop on Structural Health Monitoring (Vol. 3, pp. 902-911). (Lecture Notes in Civil Engineering; Vol. 270 LNCE). https://doi.org/10.1007/978-3-031-07322-9_91
Jonscher C, Hofmeister B, Grießmann T, Rolfes R. Influence of Environmental Conditions and Damage on Closely Spaced Modes. In Rizzo P, Milazzo A, editors, European Workshop on Structural Health Monitoring. Vol. 3. 2022. p. 902-911. (Lecture Notes in Civil Engineering). doi: 10.1007/978-3-031-07322-9_91
Jonscher, Clemens ; Hofmeister, Benedikt ; Grießmann, Tanja et al. / Influence of Environmental Conditions and Damage on Closely Spaced Modes. European Workshop on Structural Health Monitoring. editor / Piervincenzo Rizzo ; Alberto Milazzo. Vol. 3 2022. pp. 902-911 (Lecture Notes in Civil Engineering).
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abstract = "In this work, the influence of environmental conditions and damage on structures with closely spaced modes is investigated. Closely spaced bending modes are typical for symmetrical structures, such as towers. When monitoring such structures, identifying the mode shapes in particular is a challenge. In addition to environmental effects, the identification uncertainty is elevated for closely spaced modes, which leads to higher scatter in the identified mode shapes. In order to be able to investigate and quantify the influences, data from a structure with repairable damage is used. In particular, the investigation is carried out on long-term measurement data of the Leibniz University Test Structure for Monitoring (LUMO). LUMO enables the examination of different damage positions under ambient excitation and environmental conditions. For the identification, Bayesian Operational Modal Analysis (BAYOMA) is used. By considering the uncertainty of the modal parameters, especially for the mode shapes, a better understanding of the influence of damage and environmental conditions on the structure can be obtained. This is helpful for further monitoring stages, such as damage localisation using modal updating.",
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