Active MASW for railway ballast characterization in a metro tunnel
A field study in the Milano Metro Line
Valerio Maugeri (Politecnico di Milano)
Luca Martinelli (Politecnico di Milano)
Marco Acquati (MM S.p.A.)
Cristina Jommi (TU Delft - Civil Engineering & Geosciences, Politecnico di Milano)
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Abstract
Reliable estimates of the small-strain stiffness of railway ballast are essential for modeling train-induced vibration transmission and supporting condition assessment in underground railways. This paper presents a Multichannel Analysis of Surface Waves campaign performed inside a tunnel of Milan Metro Line M1, using a controlled impact source, a setting not yet discussed in the literature. A short, densely sampled receiver array was installed along the track, Rayleigh-wave dispersion was obtained in the frequency-phase velocity domain using a phase-shift approach, and a 1-D layered shear-wave velocity Vs profile was obtained by inversion. A key methodological insight derives from repeating the survey under two track boundary conditions: fastened and unfastened rails. Comparison of dispersion images and inverted profiles shows that the fastened configuration yields higher phase velocities and Vs values, consistent with stronger rail-sleeper coupling and rail-guided energy, which can bias interpretation of ballast properties. Conversely, unfastening the rails suppresses these effects and produces lower misfits and Vs profiles more representative of the ballast-invert-subgrade system. Three progressively constrained inversion parameterizations were tested to address non-uniqueness and robustness of the obtained profiles. The results confirm that Rayleigh-wave dispersion is primarily controlled by Vs, whereas other characteristics remain weakly correlated. Finally, in-situ stiffness trends of ballast are benchmarked against a laboratory dataset on comparable materials, supporting the plausibility of the velocity profiles obtained. Overall, the study demonstrates the feasibility of active MASW in a tunnel environment and delivers an operational workflow to obtain ballast-scale Vs profiles, while highlighting the importance of controlling track boundary conditions.