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A. Burzawa, L. Bodet, A. Dhemaied, M. Dangeard, "Bayesian inversion of MASW data for the characterization of railway embankments", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 8.12, 2022, doi:10.4203/ccc.1.8.12

Keywords: high speed line, railway embankment, surface wave methods, Bayesian inversion.

Abstract

The renewal of railway embankments (RE) requires the characterization of their mechanical properties. Techniques classically used to study RE are mainly local, destructive, expensive and of low yields (geotechnical in situ tests, core-drillings). There is a great need in the development and deployment of non-destructive methods, allowing quick and efficient diagnosis of the RE state. Surface wave method has been deployed in a test site to determine the shear modulus along the line. The development of a surface-wave dispersion inversion algorithm according to a probabilistic approach, enables to switch from qualitative to quantitative results. Such Bayesian implementation should help the results interpretation and constrain end-users decisions.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 1 PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 8.12 Bayesian inversion of MASW data for the characterization of railway embankments A. Burzawa^1,2 L. Bodet², A. Dhemaied¹ and M. Dangeard¹ ¹SNCF Reseau, Saint-Denis,France ²Sorbonne Universite, Paris, France doi:10.4203/ccc.1.8.12 Full Bibliographic Reference for this paper A. Burzawa, L. Bodet, A. Dhemaied, M. Dangeard, "Bayesian inversion of MASW data for the characterization of railway embankments", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 8.12, 2022, doi:10.4203/ccc.1.8.12 Keywords: high speed line, railway embankment, surface wave methods, Bayesian inversion. Abstract The renewal of railway embankments (RE) requires the characterization of their mechanical properties. Techniques classically used to study RE are mainly local, destructive, expensive and of low yields (geotechnical in situ tests, core-drillings). There is a great need in the development and deployment of non-destructive methods, allowing quick and efficient diagnosis of the RE state. Surface wave method has been deployed in a test site to determine the shear modulus along the line. The development of a surface-wave dispersion inversion algorithm according to a probabilistic approach, enables to switch from qualitative to quantitative results. Such Bayesian implementation should help the results interpretation and constrain end-users decisions. download the full-text of this paper (PDF, 5 pages, 281 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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