SUSTAINABLE USE OF TUNNEL AND EXCAVATION MATERIAL WITH SENSOR BASED CLASSIFICATION

Martin Johannes Findl; Iye Szin Ang; Mostafa Elsadek; Elisabeth Hauzinger; Daniel Schneider; Elmar Rückert; Florian Mittermayr; Robert Galler; Klaus Philipp Sedlazeck

SUSTAINABLE USE OF TUNNEL AND EXCAVATION MATERIAL WITH SENSOR BASED CLASSIFICATION

Martin Johannes Findl
, Iye Szin Ang
, Mostafa Elsadek
, Elisabeth Hauzinger
, Daniel Schneider
, Elmar Rückert
, Florian Mittermayr
, Robert Galler
, Klaus Philipp Sedlazeck

Universität Innsbruck

Publikation: Konferenzbeitrag › Abstract/Zusammenfassung

Abstract

Das NNATT-Projekt stellt eine zukunftsweisende Entwicklung im Umgang mit Tunnel- und Aushubmaterialien dar. Das Projekt bietet innovative Lösungen zur Wiederverwendung von Tunnel- und Aushubmaterialien und trägt somit zur primären Ressourcenschonung, Minimierung von Deponieauslastungen, Verkürzung von Transportwegen und Nachhaltigkeit im Bauwesen bei. Dies wird durch die Kombination von chemisch-mineralogischen und geotechnischen Analysen, einer eigens erstellten Datenbank, KI-gestützter Materialklassifikation und Datenerfassung in einer Pilotanlage sowie nachhaltiger Praktiken zur Entwicklung alternativer Baustoffe und Bodenadditive in der Landwirtschaft erreicht.

Originalsprache	Englisch
Seiten	211-212
Publikationsstatus	Veröffentlicht - 12 Juni 2025
Veranstaltung	International Conference on Solid Wastes 2025: Waste Management for Carbon Neutrality and Circular Economy - Royal Garden Hotel, Dongguan, China Dauer: 9 Juni 2025 → 11 Juni 2025 https://www.icswdg.cn/

Konferenz

Konferenz	International Conference on Solid Wastes 2025
Kurztitel	ICSWDG2025
Land/Gebiet	China
Ort	Dongguan
Zeitraum	9/06/25 → 11/06/25
Internetadresse	https://www.icswdg.cn/

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 9 – Industrie, Innovation und Infrastruktur
SDG 12 – Verantwortungsvoller Konsum und Produktion
SDG 13 – Klimaschutzmaßnahmen

Andere Dateien und Links

Conference Paper

Event

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abstract = "The NNATT (sustainable use of tunnel and excavation material with sensor based classification) project represents a progressive approach to dealing with tunnel and excavation materials. It offers innovative solutions for the reuse of these materials, thereby contributing to the conservation of primary resources, reduction of landfill usage, shortening of transport routes, and overall sustainability in the construction sector. This is achieved through a combination of chemical-mineralogical and geotechnical analyses, spectral data acquisition in a pilot facility, a customized database and AI-supported material classification, as well as sustainable practices for the development of construction materials and soil additives for agricultural use.",

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author = "Findl, \{Martin Johannes\} and Ang, \{Iye Szin\} and Mostafa Elsadek and Elisabeth Hauzinger and Daniel Schneider and Elmar R{\"u}ckert and Florian Mittermayr and Robert Galler and Sedlazeck, \{Klaus Philipp\}",

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T1 - SUSTAINABLE USE OF TUNNEL AND EXCAVATION MATERIAL WITH SENSOR BASED CLASSIFICATION

AU - Findl, Martin Johannes

AU - Ang, Iye Szin

AU - Elsadek, Mostafa

AU - Hauzinger, Elisabeth

AU - Schneider, Daniel

AU - Rückert, Elmar

AU - Mittermayr, Florian

AU - Galler, Robert

AU - Sedlazeck, Klaus Philipp

PY - 2025/6/12

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N2 - The NNATT (sustainable use of tunnel and excavation material with sensor based classification) project represents a progressive approach to dealing with tunnel and excavation materials. It offers innovative solutions for the reuse of these materials, thereby contributing to the conservation of primary resources, reduction of landfill usage, shortening of transport routes, and overall sustainability in the construction sector. This is achieved through a combination of chemical-mineralogical and geotechnical analyses, spectral data acquisition in a pilot facility, a customized database and AI-supported material classification, as well as sustainable practices for the development of construction materials and soil additives for agricultural use.

AB - The NNATT (sustainable use of tunnel and excavation material with sensor based classification) project represents a progressive approach to dealing with tunnel and excavation materials. It offers innovative solutions for the reuse of these materials, thereby contributing to the conservation of primary resources, reduction of landfill usage, shortening of transport routes, and overall sustainability in the construction sector. This is achieved through a combination of chemical-mineralogical and geotechnical analyses, spectral data acquisition in a pilot facility, a customized database and AI-supported material classification, as well as sustainable practices for the development of construction materials and soil additives for agricultural use.

KW - mineralische Abfälle

KW - Aushubmaterial

KW - Spektral sensor gestützte Klassifizierung

KW - KI

KW - Deep learning

KW - Mineral waste

KW - Excavation

KW - Spectral sensor-based classification

KW - AI

KW - Deep learning

UR - https://www.icswdg.cn/?m=home&c=Lists&a=index&tid=5

M3 - Abstract

SP - 211

EP - 212

T2 - International Conference on Solid Wastes 2025

Y2 - 9 June 2025 through 11 June 2025

ER -

SUSTAINABLE USE OF TUNNEL AND EXCAVATION MATERIAL WITH SENSOR BASED CLASSIFICATION

Abstract

Konferenz

UN SDGs

Schlagwörter

Andere Dateien und Links

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