Numerical analysis of techniques to extract bridge dynamic features from short records of acceleration.

Arturo González; Kun Feng; Miguel Casero

doi:10.2749/guimaraes.2019.1148

Numerical analysis of techniques to extract bridge dynamic features from short records of acceleration.

Arturo González
, Kun Feng^*
, Miguel Casero

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

The use of drones in structural health monitoring to charge sensors mounted on a bridge and download their data has gained an increasing interest over recent years. In contrast to traditional approaches relying on long records to assess the condition of a structure, the scenario envisioned here may only have access to short amounts of data. The treatment of undesired edge effects, which become more significant as the signal duration decreases, is a key aspect in the analysis of short data bursts. Hence, this paper tests the suitability of the synchrosqueezed wavelet transform to extract the frequency from the acceleration response of a simply supported beam with a very good road profile due to the crossing of a quarter-car model. Relatively short signals of 1 s in forced vibration and 1 s in free vibration are considered without and with noise. The focus is placed upon the effectiveness of several padding techniques in mitigating edge effects.

Original language	English
Title of host publication	Proceedings of IABSE Symposium Guimaraes 2019: Towards a Resilient Built Environment Risk and Asset Management
Publisher	International Association for Bridge and Structural Engineering (IABSE)
Pages	1148-1155
Number of pages	8
ISBN (Electronic)	9783857481635
DOIs	https://doi.org/10.2749/guimaraes.2019.1148
Publication status	Published - 2019
Externally published	Yes
Event	IABSE Symposium 2019 Guimaraes: Towards a Resilient Built Environment - Risk and Asset Management - Guimaraes, Portugal Duration: 27 Mar 2019 → 29 Mar 2019

Publication series

Name	IABSE Reports
Number	114

Conference

Conference	IABSE Symposium 2019 Guimaraes: Towards a Resilient Built Environment - Risk and Asset Management
Country/Territory	Portugal
City	Guimaraes
Period	27/03/2019 → 29/03/2019

Bibliographical note

Funding Information:
This research has received funding from Science Foundation Ireland ?SFI ? ?s US ?Ireland partnership programme under the proposal id ? ? ? ?US ?I ? ? ? ? titled MARS ?Fly ?

Publisher Copyright:
© 2019 IABSE. All rights reserved.

Keywords

Bridge bynamic
Edge effect
Short data burst
Signal padding
Structural health monitoring
Synchrosqueezed wavelet transform
Vehicle-Bridge interaction

ASJC Scopus subject areas

Civil and Structural Engineering
Building and Construction

Access to Document

10.2749/guimaraes.2019.1148Licence: Unspecified

Cite this

González, A., Feng, K., & Casero, M. (2019). Numerical analysis of techniques to extract bridge dynamic features from short records of acceleration. In Proceedings of IABSE Symposium Guimaraes 2019: Towards a Resilient Built Environment Risk and Asset Management (pp. 1148-1155). (IABSE Reports; No. 114). International Association for Bridge and Structural Engineering (IABSE). https://doi.org/10.2749/guimaraes.2019.1148

González, Arturo ; Feng, Kun ; Casero, Miguel. / Numerical analysis of techniques to extract bridge dynamic features from short records of acceleration. Proceedings of IABSE Symposium Guimaraes 2019: Towards a Resilient Built Environment Risk and Asset Management. International Association for Bridge and Structural Engineering (IABSE), 2019. pp. 1148-1155 (IABSE Reports; 114).

@inproceedings{bffcbde5f0b1474e990d58cf19c76b1c,

title = "Numerical analysis of techniques to extract bridge dynamic features from short records of acceleration.",

abstract = "The use of drones in structural health monitoring to charge sensors mounted on a bridge and download their data has gained an increasing interest over recent years. In contrast to traditional approaches relying on long records to assess the condition of a structure, the scenario envisioned here may only have access to short amounts of data. The treatment of undesired edge effects, which become more significant as the signal duration decreases, is a key aspect in the analysis of short data bursts. Hence, this paper tests the suitability of the synchrosqueezed wavelet transform to extract the frequency from the acceleration response of a simply supported beam with a very good road profile due to the crossing of a quarter-car model. Relatively short signals of 1 s in forced vibration and 1 s in free vibration are considered without and with noise. The focus is placed upon the effectiveness of several padding techniques in mitigating edge effects.",

keywords = "Bridge bynamic, Edge effect, Short data burst, Signal padding, Structural health monitoring, Synchrosqueezed wavelet transform, Vehicle-Bridge interaction",

author = "Arturo Gonz{\'a}lez and Kun Feng and Miguel Casero",

note = "Funding Information: This research has received funding from Science Foundation Ireland ?SFI ? ?s US ?Ireland partnership programme under the proposal id ? ? ? ?US ?I ? ? ? ? titled MARS ?Fly ? Publisher Copyright: {\textcopyright} 2019 IABSE. All rights reserved.; IABSE Symposium 2019 Guimaraes: Towards a Resilient Built Environment - Risk and Asset Management ; Conference date: 27-03-2019 Through 29-03-2019",

year = "2019",

doi = "10.2749/guimaraes.2019.1148",

language = "English",

series = "IABSE Reports",

publisher = "International Association for Bridge and Structural Engineering (IABSE)",

number = "114",

pages = "1148--1155",

booktitle = "Proceedings of IABSE Symposium Guimaraes 2019: Towards a Resilient Built Environment Risk and Asset Management",

}

González, A, Feng, K & Casero, M 2019, Numerical analysis of techniques to extract bridge dynamic features from short records of acceleration. in Proceedings of IABSE Symposium Guimaraes 2019: Towards a Resilient Built Environment Risk and Asset Management. IABSE Reports, no. 114, International Association for Bridge and Structural Engineering (IABSE), pp. 1148-1155, IABSE Symposium 2019 Guimaraes: Towards a Resilient Built Environment - Risk and Asset Management, Guimaraes, Portugal, 27/03/2019. https://doi.org/10.2749/guimaraes.2019.1148

Numerical analysis of techniques to extract bridge dynamic features from short records of acceleration. / González, Arturo; Feng, Kun; Casero, Miguel.
Proceedings of IABSE Symposium Guimaraes 2019: Towards a Resilient Built Environment Risk and Asset Management. International Association for Bridge and Structural Engineering (IABSE), 2019. p. 1148-1155 (IABSE Reports; No. 114).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - González, Arturo

AU - Feng, Kun

AU - Casero, Miguel

N1 - Funding Information: This research has received funding from Science Foundation Ireland ?SFI ? ?s US ?Ireland partnership programme under the proposal id ? ? ? ?US ?I ? ? ? ? titled MARS ?Fly ? Publisher Copyright: © 2019 IABSE. All rights reserved.

PY - 2019

Y1 - 2019

N2 - The use of drones in structural health monitoring to charge sensors mounted on a bridge and download their data has gained an increasing interest over recent years. In contrast to traditional approaches relying on long records to assess the condition of a structure, the scenario envisioned here may only have access to short amounts of data. The treatment of undesired edge effects, which become more significant as the signal duration decreases, is a key aspect in the analysis of short data bursts. Hence, this paper tests the suitability of the synchrosqueezed wavelet transform to extract the frequency from the acceleration response of a simply supported beam with a very good road profile due to the crossing of a quarter-car model. Relatively short signals of 1 s in forced vibration and 1 s in free vibration are considered without and with noise. The focus is placed upon the effectiveness of several padding techniques in mitigating edge effects.

AB - The use of drones in structural health monitoring to charge sensors mounted on a bridge and download their data has gained an increasing interest over recent years. In contrast to traditional approaches relying on long records to assess the condition of a structure, the scenario envisioned here may only have access to short amounts of data. The treatment of undesired edge effects, which become more significant as the signal duration decreases, is a key aspect in the analysis of short data bursts. Hence, this paper tests the suitability of the synchrosqueezed wavelet transform to extract the frequency from the acceleration response of a simply supported beam with a very good road profile due to the crossing of a quarter-car model. Relatively short signals of 1 s in forced vibration and 1 s in free vibration are considered without and with noise. The focus is placed upon the effectiveness of several padding techniques in mitigating edge effects.

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KW - Vehicle-Bridge interaction

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BT - Proceedings of IABSE Symposium Guimaraes 2019: Towards a Resilient Built Environment Risk and Asset Management

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Y2 - 27 March 2019 through 29 March 2019

ER -

González A, Feng K, Casero M. Numerical analysis of techniques to extract bridge dynamic features from short records of acceleration. In Proceedings of IABSE Symposium Guimaraes 2019: Towards a Resilient Built Environment Risk and Asset Management. International Association for Bridge and Structural Engineering (IABSE). 2019. p. 1148-1155. (IABSE Reports; 114). doi: 10.2749/guimaraes.2019.1148

Numerical analysis of techniques to extract bridge dynamic features from short records of acceleration.

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this