Optimized Reuse of Tunnel and Excavation Materials in Civil Engineering and Tunnel Construction using AI-supported Sensor Technologies
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Abstract
Large-scale projects such as the expansion of
the Trans European Transport Network (TEN-T) corridors,
constructing the Future Circular Collider (FCC), and the
Einstein Telescope generate millions of m 3 of excavated
material, creating a major sustainability challenge. Our
approach develops innovative solutions for reusing exca-
vated materials by combining chemical-mineralogical and
geotechnical analyses, AI-based classification, and a dedi-
cated database. The aim is to give a high-quality purpose
to the material without extensive temporary stored exca-
vation on construction sites, reduce landfill use, conserve
resources, and ultimately establish an EU-wide directive to
end the waste status of excavated materials.
the Trans European Transport Network (TEN-T) corridors,
constructing the Future Circular Collider (FCC), and the
Einstein Telescope generate millions of m 3 of excavated
material, creating a major sustainability challenge. Our
approach develops innovative solutions for reusing exca-
vated materials by combining chemical-mineralogical and
geotechnical analyses, AI-based classification, and a dedi-
cated database. The aim is to give a high-quality purpose
to the material without extensive temporary stored exca-
vation on construction sites, reduce landfill use, conserve
resources, and ultimately establish an EU-wide directive to
end the waste status of excavated materials.
Details
Original language | English |
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Pages (from-to) | ??? Stand: 27. März 2025 |
Number of pages | 6 |
Journal | Berg- und hüttenmännische Monatshefte : BHM |
Volume | ??? Stand: 27. März 2025 |
Issue number | ??? Stand: 27. März 2025 |
DOIs | |
Publication status | Published - 25 Mar 2025 |