Feasibility of Applying Mel-Frequency Cepstral Coefficients in a Drive-by Damage Detection Methodology for High-Speed Railway Bridges

Edson Florentino de Souza (), Túlio Nogueira Bittencourt, Diogo Ribeiro and Hermes Carvalho
Additional contact information
Edson Florentino de Souza: Department of Civil Engineering (COECI), Federal University of Technology—Parana (UTFPR), Guarapuava 85053-525, Brazil
Túlio Nogueira Bittencourt: Department of Structural Engineering and Geotechnical (PEF), University of São Paulo (USP), São Paulo 05508-900, Brazil
Diogo Ribeiro: Institute of R&D in Structures and Construction (CONSTRUCT), School of Engineering, Polytechnic of Porto, 4200-072 Porto, Portugal
Hermes Carvalho: Department of Structural Engineering, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Brazil

Sustainability, 2022, vol. 14, issue 20, 1-26

Abstract: In this paper, a drive-by damage detection methodology for high-speed railway (HSR) bridges is addressed, to appraise the application of Mel-frequency cepstral coefficients (MFCC) to extract the Damage Index (DI). A finite element (FEM) 2D VTBI model that incorporates the train, ballasted track and bridge behavior is presented. The formulation includes track irregularities and a damaged condition induced in a specified structure region. The feasibility of applying cepstrum analysis components to the indirect damage detection in HSR by on-board sensors is evaluated by numerical simulations, in which dynamic analyses are performed through a code implemented in MATLAB. Different damage scenarios are simulated, as well as external excitations such as measurement noises and different levels of track irregularities. The results show that MFCC-based DI are highly sensitive regarding damage detection, and robust to the noise. Bridge stiffness can be recognized satisfactorily at high speeds and under different levels of track irregularities. Moreover, the magnitude of DI extracted from MFCC is related to the relative severity of the damage. The results presented in this study should be seen as a first attempt to link cepstrum-based features in an HSR drive-by damage detection approach.

Keywords: structural health monitoring; drive-by damage detection; high-speed railway bridges; mel-frequency cepstral coefficients; vehicle-bridge interaction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/20/13290/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/20/13290/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:20:p:13290-:d:943713

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().