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

University of Innsbruck

Research output: Contribution to conference › Abstract

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.

Original language	English
Pages	211-212
Publication status	Published - 12 Jun 2025
Event	International Conference on Solid Wastes 2025: Waste Management for Carbon Neutrality and Circular Economy - Royal Garden Hotel, Dongguan, China Duration: 9 Jun 2025 → 11 Jun 2025 https://www.icswdg.cn/

Conference

Conference	International Conference on Solid Wastes 2025
Abbreviated title	ICSWDG2025
Country/Territory	China
City	Dongguan
Period	9/06/25 → 11/06/25
Internet address	https://www.icswdg.cn/

Keywords

Mineral waste
Excavation
Spectral sensor-based classification
AI
Deep learning

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "SUSTAINABLE USE OF TUNNEL AND EXCAVATION MATERIAL WITH SENSOR BASED CLASSIFICATION",

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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month = jun,

day = "12",

language = "English",

pages = "211--212",

note = "International Conference on Solid Wastes 2025 ; Conference date: 09-06-2025 Through 11-06-2025",

url = "https://www.icswdg.cn/",

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TY - CONF

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

Y1 - 2025/6/12

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

Conference

Keywords

UN SDGs

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