Smart geotechnical monitoring for Landslide risk management along the Naples Bari Railway Line, Italia

As part of the construction of the Naples Bari high-capacity railway line, SOCOTEC Italia developed an advanced geotechnical investigation and monitoring system along the Telese San Lorenzo Vitulano section.

The project addressed one of the most complex challenges in infrastructure engineering: managing risk in an area affected by a dormant landslide, potentially reactivated by the excavation of a tunnel approximately 80 meters deep.

Through an integrated, data-driven approach, SOCOTEC transformed the subsoil into a monitored, analyzable, and interpretable system in real time, supporting both design and operational decision-making.

Key information

  • Project Name: Smart Geotechnical Monitoring for Landslide Risk Management along the Naples–Bari Railway Line
  • Date: 2021
  • Client: Telese Scarl (on behalf of Rete Ferroviaria Italiana)
  • Location: Benevento (Italy)
background dark blue

Talk to our experts

Lorenzo MEROLA

Geotechnical & Drilling Manager, SOCOTEC Italia

Geotechnical & Drilling Manager, SOCOTEC Italia

gare.av@socotec.com
donato_fiore

Donato FIORE

Geophysical Division Senior Manager, SOCOTEC Italia

Geophysical Division Senior Manager, SOCOTEC Italia

donato.fiore@socotec.com

Project details

The new Naples–Bari railway line, promoted by Rete Ferroviaria Italiana, represents a strategic infrastructure for enhancing mobility in Southern Italy.

Along the Telese San Lorenzo Vitulano section, the alignment crosses a complex geomorphological context characterized by slope instability and mapped landslides. In the municipality of Ponte (BN), in particular, a dormant landslide area was identified, whose equilibrium could be affected by underground construction works.

The construction of the railway tunnel, planned at a depth of approximately 80 meters, introduces a critical variable: the interaction between excavation activities and ground behavior.

The challenge

The project required answering a key question :

How can the behavior of an unstable slope be monitored and predicted in relation to a deep underground structure?

This was not only about data acquisition, but about:

decorative yellow quote

1#

Building a reliable geological-geotechnical model.

decorative yellow quote

2#

Extending point-based knowledge to a volumetric scale.

decorative yellow quote

3#

Continuously monitoring deep ground deformations.

decorative yellow quote

4#

Transforming data into actionable information for risk management.

In other words, shifting from a static understanding of the subsoil to a dynamic and predictive interpretation.

The SOCOTEC Approach

To address this complexity, SOCOTEC Italia developed an integrated system based on three pillars

Deep boreholes, in-situ tests, and laboratory analyses were carried out to define the physical and mechanical properties of the soils.
These activities enabled the development of a detailed stratigraphic model, supported by structured data production and technical reporting.

Geophysical techniques allowed overcoming the limitations of point investigations, extending knowledge to the entire investigated volume.

This made it possible to:

  • identify discontinuities and weak zones;
  • improve 3D reconstruction of the subsoil;
  • reduce interpretative uncertainties.

A distinctive element of the project was the implementation of a hybrid geotechnical monitoring system integrating:

  • traditional sensors for point measurements;
  • distributed fiber optic sensing using Brillouin technology for continuous measurements.

This system transformed the borehole into a distributed sensor, capable of detecting deformation and curvature variations along its entire depth.

This enabled:

  • high-resolution detection of deep deformations;
  • identification of slip surface activation;
  • reconstruction of landslide geometry.

Advanced technologies for monitoring landslide movements

From data to decision

The value of the project lies in the ability to integrate data from multiple sources into a single interpretative system.

The adopted approach made it possible to:

  • correlate ground deformations with excavation activities;
  • continuously monitor the evolution of the landslide phenomenon;
  • support timely and informed decision-making;
  • reduce geotechnical risk during construction.

In this perspective, monitoring is no longer just a control tool, but becomes an active component of project management.

background dark blue

Risk management

Towards predictive monitoring

This project represents a concrete step towards risk management models based on data integration and advanced technologies.

The combined use of distributed sensors, geophysical investigations, and geotechnical modeling lays the foundation for predictive monitoring systems, where data is used not only to describe current conditions, but also to anticipate future scenarios.

Thanks to the adopted approach, it was possible to:

  • increase the level of subsoil knowledge;
  • improve the reliability of the geotechnical model;
  • ensure continuous control of deep deformations;
  • reduce risks associated with tunnel construction;
  • contribute to the safety and sustainability of the infrastructure.

This project represents a concrete step towards risk management models based on data integration and advanced technologies.

The combined use of distributed sensors, geophysical investigations, and geotechnical modeling lays the foundation for predictive monitoring systems, where data is used not only to describe current conditions, but also to anticipate future scenarios.

Thanks to the adopted approach, it was possible to:

  • increase the level of subsoil knowledge;
  • improve the reliability of the geotechnical model;
  • ensure continuous control of deep deformations;
  • reduce risks associated with tunnel construction;
  • contribute to the safety and sustainability of the infrastructure.

A new paradigm for infrastructure

In complex contexts such as the Naples Bari railway line, geotechnical risk management requires a paradigm shift: from static approaches to dynamic, integrated, and intelligent systems.

This project demonstrates how the integration of engineering, advanced sensing technologies, and data management can transform the subsoil into a system that is observable, interpretable, and governable.

Want to know more about our services in Italia?