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<p>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<sup>3</sup> of excavated material, creating a&#xa0;major sustainability challenge. Our approach develops innovative solutions for reusing excavated materials by combining chemical-mineralogical and geotechnical analyses, AI-based classification, and a&#xa0;dedicated database. The aim is to give a&#xa0;high-quality purpose to the material without extensive temporary stored excavation on construction sites, reduce landfill use, conserve resources, and ultimately establish an EU-wide directive to end the waste status of excavated materials.</p>

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Optimized Reuse of Tunnel and Excavation Materials in Civil Engineering and Tunnel Construction using AI-supported Sensor Technologies

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月25日

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  • Elisabeth Hauzinger,
  • Daniel Schneider,
  • Martin Johannes Findl,
  • Klaus Philipp Sedlazeck,
  • Robert Galler

摘要

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 m3 of excavated material, creating a major sustainability challenge. Our approach develops innovative solutions for reusing excavated materials by combining chemical-mineralogical and geotechnical analyses, AI-based classification, and a dedicated database. The aim is to give a high-quality purpose to the material without extensive temporary stored excavation on construction sites, reduce landfill use, conserve resources, and ultimately establish an EU-wide directive to end the waste status of excavated materials.