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Application of Data Fusion to Determine the Geotechnical Model of the Substructure

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Authors
Jorge Rojas Vivanco
Pierre Breul
Aurélie Talon
Miguel Benz-Navarrete
Sébastien Barbier
Fabien Ranvier
Published in
Proceedings of the 5th International Conference on Transportation Geotechnics (ICTG) 2024, Volume 1
Publisher
Springer Nature Singapore

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Abstract

This chapter delves into the critical role of geotechnical layers in railway infrastructure stability and the challenges posed by inadequate layer thicknesses. It introduces data fusion as a solution to enhance the accuracy of geotechnical models, focusing on the integration of Ground Penetrating Radar (GPR) and Pandoscope data. The chapter discusses the measurement principles of these technologies and the process of data fusion using the belief mass method. It presents a case study on a 28 km railway track, comparing different data fusion methods and highlighting the effectiveness of the PCR6 method in managing conflicts and improving model accuracy. The chapter concludes with perspectives on future improvements, emphasizing the importance of statistical analysis and consideration of material properties to enhance the model's applicability and accuracy.
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previous chapter The Evaluation of a Commercial Back-Analysis Package in Condition Assessment of Railways
next chapter Retrofitting of Existing Railway Tracks Using Micropiles as a Ground Improvement Technique: Finite-Element and Genetic Programming Approach
Title
Application of Data Fusion to Determine the Geotechnical Model of the Substructure
Authors
Jorge Rojas Vivanco
Pierre Breul
Aurélie Talon
Miguel Benz-Navarrete
Sébastien Barbier
Fabien Ranvier
Copyright Year
2025
Publisher
Springer Nature Singapore
Book
Proceedings of the 5th International Conference on Transportation Geotechnics (ICTG) 2024, Volume 1

Print ISBN: 978-981-9782-12-3

Electronic ISBN: 978-981-9782-13-0

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-981-97-8213-0_22
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