Performance of an H estimation based damage localization approach in the context of automated structural health monitoring

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OriginalspracheEnglisch
PublikationsstatusVeröffentlicht - 2018
Veranstaltung9th European Workshop on Structural Health Monitoring, EWSHM 2018 - Manchester, Großbritannien / Vereinigtes Königreich
Dauer: 10 Juli 201813 Juli 2018

Konferenz

Konferenz9th European Workshop on Structural Health Monitoring, EWSHM 2018
Land/GebietGroßbritannien / Vereinigtes Königreich
OrtManchester
Zeitraum10 Juli 201813 Juli 2018

Abstract

A major step in Structural Health Monitoring is the extraction of damage sensitive features that indicate the state of an observed structure in terms of structural alterations. Research often concentrates on the localization of structural changes directly based on modal residues. Another approach is the examination of updated Finite Elements Models which represent the dynamic behavior of the monitored system. Those procedures rely on dynamic structural measurements such as accelerations, velocities or strains. Especially for the monitoring of large structures, the determination of damages or generally speaking positions of structural changes is still strongly desired. Therefore approaches are favourable which are solely based on dynamic measurements, robust calculations and independent from the extraction of modal parameters. This article deals with an existing method for damage detection and localization based on H estimation theory and state projections (SP2E) (1). It is tested on measured acceleration data, gathered on a benchmark structure at the Los Alamos National Laboratories.This procedure is applied to the measurement data, representing either the healthy reference state or several damage states. A final step of the damage analysis is the execution of hypothesis tests. Special attention is paid to the robustness and stability of the method with respect to automatic applications. The presented contribution represents a benchmark comparison of a novel and rather unknown damage localization procedure which gives a baseline to compare other methodologies.

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Performance of an H estimation based damage localization approach in the context of automated structural health monitoring. / Wernitz, Stefan; Pache, Dorian; Grießmann, Tanja et al.
2018. Beitrag in 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, Großbritannien / Vereinigtes Königreich.

Publikation: KonferenzbeitragPaperForschungPeer-Review

Wernitz, S, Pache, D, Grießmann, T & Rolfes, R 2018, 'Performance of an H estimation based damage localization approach in the context of automated structural health monitoring', Beitrag in 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, Großbritannien / Vereinigtes Königreich, 10 Juli 2018 - 13 Juli 2018.
Wernitz, S., Pache, D., Grießmann, T., & Rolfes, R. (2018). Performance of an H estimation based damage localization approach in the context of automated structural health monitoring. Beitrag in 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, Großbritannien / Vereinigtes Königreich.
Wernitz S, Pache D, Grießmann T, Rolfes R. Performance of an H estimation based damage localization approach in the context of automated structural health monitoring. 2018. Beitrag in 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, Großbritannien / Vereinigtes Königreich.
Wernitz, Stefan ; Pache, Dorian ; Grießmann, Tanja et al. / Performance of an H estimation based damage localization approach in the context of automated structural health monitoring. Beitrag in 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, Großbritannien / Vereinigtes Königreich.
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abstract = "A major step in Structural Health Monitoring is the extraction of damage sensitive features that indicate the state of an observed structure in terms of structural alterations. Research often concentrates on the localization of structural changes directly based on modal residues. Another approach is the examination of updated Finite Elements Models which represent the dynamic behavior of the monitored system. Those procedures rely on dynamic structural measurements such as accelerations, velocities or strains. Especially for the monitoring of large structures, the determination of damages or generally speaking positions of structural changes is still strongly desired. Therefore approaches are favourable which are solely based on dynamic measurements, robust calculations and independent from the extraction of modal parameters. This article deals with an existing method for damage detection and localization based on H∞ estimation theory and state projections (SP2E) (1). It is tested on measured acceleration data, gathered on a benchmark structure at the Los Alamos National Laboratories.This procedure is applied to the measurement data, representing either the healthy reference state or several damage states. A final step of the damage analysis is the execution of hypothesis tests. Special attention is paid to the robustness and stability of the method with respect to automatic applications. The presented contribution represents a benchmark comparison of a novel and rather unknown damage localization procedure which gives a baseline to compare other methodologies.",
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AU - Pache, Dorian

AU - Grießmann, Tanja

AU - Rolfes, Raimund

N1 - Funding information: The authors like to thank the LANL for providing the open-source measurement data.

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N2 - A major step in Structural Health Monitoring is the extraction of damage sensitive features that indicate the state of an observed structure in terms of structural alterations. Research often concentrates on the localization of structural changes directly based on modal residues. Another approach is the examination of updated Finite Elements Models which represent the dynamic behavior of the monitored system. Those procedures rely on dynamic structural measurements such as accelerations, velocities or strains. Especially for the monitoring of large structures, the determination of damages or generally speaking positions of structural changes is still strongly desired. Therefore approaches are favourable which are solely based on dynamic measurements, robust calculations and independent from the extraction of modal parameters. This article deals with an existing method for damage detection and localization based on H∞ estimation theory and state projections (SP2E) (1). It is tested on measured acceleration data, gathered on a benchmark structure at the Los Alamos National Laboratories.This procedure is applied to the measurement data, representing either the healthy reference state or several damage states. A final step of the damage analysis is the execution of hypothesis tests. Special attention is paid to the robustness and stability of the method with respect to automatic applications. The presented contribution represents a benchmark comparison of a novel and rather unknown damage localization procedure which gives a baseline to compare other methodologies.

AB - A major step in Structural Health Monitoring is the extraction of damage sensitive features that indicate the state of an observed structure in terms of structural alterations. Research often concentrates on the localization of structural changes directly based on modal residues. Another approach is the examination of updated Finite Elements Models which represent the dynamic behavior of the monitored system. Those procedures rely on dynamic structural measurements such as accelerations, velocities or strains. Especially for the monitoring of large structures, the determination of damages or generally speaking positions of structural changes is still strongly desired. Therefore approaches are favourable which are solely based on dynamic measurements, robust calculations and independent from the extraction of modal parameters. This article deals with an existing method for damage detection and localization based on H∞ estimation theory and state projections (SP2E) (1). It is tested on measured acceleration data, gathered on a benchmark structure at the Los Alamos National Laboratories.This procedure is applied to the measurement data, representing either the healthy reference state or several damage states. A final step of the damage analysis is the execution of hypothesis tests. Special attention is paid to the robustness and stability of the method with respect to automatic applications. The presented contribution represents a benchmark comparison of a novel and rather unknown damage localization procedure which gives a baseline to compare other methodologies.

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