Optimized Reuse of Tunnel and Excavation Materials in Civil Engineering and Tunnel Construction using AI-supported Sensor Technologies
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung
Autoren
Organisationseinheiten
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
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | ??? Stand: 27. März 2025 |
Seitenumfang | 6 |
Fachzeitschrift | Berg- und hüttenmännische Monatshefte : BHM |
Jahrgang | ??? Stand: 27. März 2025 |
Ausgabenummer | ??? Stand: 27. März 2025 |
DOIs | |
Status | Veröffentlicht - 25 März 2025 |