Identification of bridge mode shapes using Short Time Frequency Domain Decomposition of the responses measured in a passing vehicle

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Title: Identification of bridge mode shapes using Short Time Frequency Domain Decomposition of the responses measured in a passing vehicle
Authors: Malekjafarian, AbdollahO'Brien, Eugene J.
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Date: 15-Dec-2014
Online since: 2015-09-08T15:43:37Z
Abstract: This paper processes the signals from accelerometers mounted on a vehicle travelling over a bridge. Short Time Frequency Domain Decomposition (STFDD) is used to estimate bridge mode shapes from the dynamic response of the vehicle. In Frequency Domain Decomposition (FDD), several segments are defined on the bridge and the measurement is performed using two instrumented axles. Here, the FDD method is employed in a multi-stage procedure applied to the bridge segments in sequence. A rescaling process is used to construct the global mode shape vector. The performance of the proposed method is validated using numerical case studies. In other indirect bridge identification methods, the road profile may excite the vehicle, making it difficult to detect the bridge modes. This is addressed using two concepts: applying external excitation to the bridge and subtracting signals in the axles of successive trailers towed by the vehicle. The results obtained from the numerical investigation demonstrate that the proposed method can estimate the bridge mode shapes with acceptable accuracy. Sensitivity of the method to added white noise is also investigated.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Elsevier
Journal: Engineering Structures
Volume: 81
Start page: 386
End page: 397
Copyright (published version): 2014 Elsevier Ltd
Keywords: Vehicle bridge interactionFrequency Domain DecompositionBridgeMode shapeIndirectIdentificationSHMDamage detectionFDDVBI
DOI: 10.1016/j.engstruct.2014.10.007
Language: en
Status of Item: Peer reviewed
Appears in Collections:Civil Engineering Research Collection

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