Metadata
Title
Microwave Sensing, Signals and Systems
Category
general
UUID
0d290190407a4a36ae9e4b85d285cc4b
Source URL
https://radar.tudelft.nl/Research/project.php?id=70
Parent URL
https://radar.tudelft.nl/Research/theme.php?id=17
Crawl Time
2026-03-11T05:27:34+00:00
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Microwave Sensing, Signals and Systems

Source: https://radar.tudelft.nl/Research/project.php?id=70 Parent: https://radar.tudelft.nl/Research/theme.php?id=17

Microwave Sensing, Signals and Systems

Department of Microelectronics

Tunnel Boring Radar (NeTTUN)

Themes: Radar technology

Antenna design and imaging of the ground in front of a tunnel boring machine

Currently the construction of tunnels is heavily reliant on time and cost expensive experts, brought in outside of the awarded contractor's team, to analyse data provided by existing ground prediction systems. These outputs are insufficient and result in tunnelling projects working in practically continuous "moderate risk" warning scenarios that operators tend to ignore after a number of weeks of apparently safe progress, resulting in relatively frequent geotechnical accidents. Most existing ground prediction methods require stopping the excavation for several hours, which relegate them to a once per week activity and at best performed during planned maintenance operations. Overall this by far exceeds the available nominal idle time corresponding to the construction of a ring in a segmental lined tunnel.

Radar can offer high quality imaging of the ground ahead over a relatively short distance, which is well adapted to tunnelling in a built environment. The work performed on the NeTTUN radar subsystem starts with the development of specific antennas and signal processing algorithms. A special design is required in order to achieve high performance although the system is embedded in an unfavourable environment (metallic structure, vibrations, etc.). Advanced electromagnetic simulations on modelled geotechnical configurations have been used to optimise the antenna design.

For more information, see the project homepage.

Project data

Researchers: Olexander Yarovoy, Jianping Wang
Starting date: September 2012
Closing date: September 2016
Sponsor: EU FP7
Partners: Consortium of 21 Industrial, Research & Development laboratories and SME organisations
Contact: Olexander Yarovoy