Extraction of dynamic features from short acceleration data bursts: a review
Files in This Item:
|Casero_etal_2018_Extraction of dynamic features from short acceleration data bursts_a review.pdf||201.58 kB||Adobe PDF||Download|
|Title:||Extraction of dynamic features from short acceleration data bursts: a review||Authors:||Casero, Miguel
|Permanent link:||http://hdl.handle.net/10197/10089||Date:||3-Aug-2018||Online since:||2019-04-23T13:17:24Z||Abstract:||It is well known that structural damage can lead to changes in dynamic features such as frequencies, mode shapes, damping, vibration intensity, etc. Signal processing tools available to extract these features include Wavelet analysis, Fourier and Hilbert-Huang transforms. Acceleration data is typically used as input to these tools, given that it is a type of response with a relatively high dynamic component (i.e., oscillations in the response due to inertial forces of the structure) in relation to the static component (i.e., derived from time-varying static deflections as a result of time/spatial-varying loads). Almost all traditional signal processing approaches require access to long-time data sets. For instance, long periods of acceleration and multiple measurement points allow engineers to accurately define the mode shapes of a structure. In this paper, a scenario is envisioned where drones are used to charge sensors placed on bridges as well as to acquire the data recorded by the sensors for processing. The novelty is the challenge of monitoring structural condition in the context of acquiring limited quantities of data. The latter requires being able to deal with a very significant impact of edge effects and the loss of resolution due to the short duration of the signal. This paper reviews attempts to obtain bridge dynamic features overcoming these limitations, i.e., via multi-stage measurements as in the case of the Short Time Frequency Domain Decomposition method.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||Canadian Society for Civil Engineering||Keywords:||Structural damage; Drones; Structural condition; Compressive Sensing||Other versions:||http://smsb-2018.ca/||Language:||en||Status of Item:||Not peer reviewed||Conference Details:||The 10th International Conference on Short and Medium Span Bridges, Quebec City, Canada, 31 July - 3 August 2018|
|Appears in Collections:||Civil Engineering Research Collection|
Show full item record
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.