Detecting mechanical property anomalies along railway earthworks by Bayesian appraisal of MASW data
The techniques traditionally used to estimate the mechanical properties of railway earthworks (RE) are costly and of low performance. There is a great need for the development of non-destructive methods, which would allow a fast and efficient diagnosis of RE. Seismic surface-wave (SW) methods, also...
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| Published in: | Construction & building materials Vol. 404; p. 133224 |
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| Main Authors: | , , , , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
10-11-2023
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| Abstract | The techniques traditionally used to estimate the mechanical properties of railway earthworks (RE) are costly and of low performance. There is a great need for the development of non-destructive methods, which would allow a fast and efficient diagnosis of RE. Seismic surface-wave (SW) methods, also known as multi-channel analysis of surface waves (MASW), were rescaled here for there systematic implementation on RE. A test site was chosen along the North European High Speed Line (HSL) for its well-known correspondence between discontinuity in mechanical properties and anomalous maintenance forces. With the proposed acquisition and processing strategy, a contrast in SW propagation velocity was correlated with the change in shear modulus of the soil layers beneath the track, previously evaluated in the laboratory. Bayesian inversion of the SW data also allowed to integrate the strong a priori knowledge available on these HSL lines and to provide quantitative results with a confidence index to help end-users in their decisions.
•Designing non-destructive tools allowing efficient diagnosis of railway earthworks.•Geotechnical and geophysical study of a test site along an High Speed Line.•Surface-wave seismic acquisition to delineate shear-wave velocity variations.•Correlation between shear-wave velocity decrease and abnormal maintenance efforts.•Shear moduli profile presented in probability to provide a decision support tool. |
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| AbstractList | The techniques traditionally used to estimate the mechanical properties of railway earthworks (RE) are costly and of low performance. There is a great need for the development of non-destructive methods, which would allow a fast and efficient diagnosis of RE. Seismic surface-wave (SW) methods, also known as multi-channel analysis of surface waves (MASW), were rescaled here for there systematic implementation on RE. A test site was chosen along the North European High Speed Line (HSL) for its well-known correspondence between discontinuity in mechanical properties and anomalous maintenance forces. With the proposed acquisition and processing strategy, a contrast in SW propagation velocity was correlated with the change in shear modulus of the soil layers beneath the track, previously evaluated in the laboratory. Bayesian inversion of the SW data also allowed to integrate the strong a priori knowledge available on these HSL lines and to provide quantitative results with a confidence index to help end-users in their decisions.
•Designing non-destructive tools allowing efficient diagnosis of railway earthworks.•Geotechnical and geophysical study of a test site along an High Speed Line.•Surface-wave seismic acquisition to delineate shear-wave velocity variations.•Correlation between shear-wave velocity decrease and abnormal maintenance efforts.•Shear moduli profile presented in probability to provide a decision support tool. |
| ArticleNumber | 133224 |
| Author | Dhemaied, A. Cui, Y.J. Burzawa, A. Dangeard, M. Bodet, L. Vitale, Q. Pasquet, S. Boisson-Gaboriau, J. |
| Author_xml | – sequence: 1 givenname: A. orcidid: 0000-0003-4926-2207 surname: Burzawa fullname: Burzawa, A. email: audrey.burzawa@sorbonne-universite.fr organization: Sorbonne Université, CNRS, EPHE, UMR 7619 METIS, 4 place Jussieu, 75252 Paris 05, France – sequence: 2 givenname: L. orcidid: 0000-0003-2271-3223 surname: Bodet fullname: Bodet, L. organization: Sorbonne Université, CNRS, EPHE, UMR 7619 METIS, 4 place Jussieu, 75252 Paris 05, France – sequence: 3 givenname: A. surname: Dhemaied fullname: Dhemaied, A. organization: SNCF Réseau, 6 avenue François Mitterand 93210 Saint-Denis, France – sequence: 4 givenname: M. surname: Dangeard fullname: Dangeard, M. organization: SNCF Réseau, 6 avenue François Mitterand 93210 Saint-Denis, France – sequence: 5 givenname: S. orcidid: 0000-0002-3625-9212 surname: Pasquet fullname: Pasquet, S. organization: Sorbonne Université, CNRS, EPHE, UMR 7619 METIS, 4 place Jussieu, 75252 Paris 05, France – sequence: 6 givenname: Q. surname: Vitale fullname: Vitale, Q. organization: Éveha International, 161 avenue de Verdun, 94200 Ivry-sur-Seine, France – sequence: 7 givenname: J. surname: Boisson-Gaboriau fullname: Boisson-Gaboriau, J. organization: SNCF Réseau, 6 avenue François Mitterand 93210 Saint-Denis, France – sequence: 8 givenname: Y.J. surname: Cui fullname: Cui, Y.J. organization: Ecole des Ponts, ParisTech, France |
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| Keywords | Mechanical properties Seismic methods Surface waves Bayesian inversion Railway earthwork |
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| Title | Detecting mechanical property anomalies along railway earthworks by Bayesian appraisal of MASW data |
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