G.H. Erharter

Research output

Research output per year 2017 2019 2021 2022 2023 2024

• 18 Article
• 5 Conference paper
• 1 Chapter
• 1 Poster
• 2 More
  • 1 Comment/debate
  • 1 Conference article

Research output per year

Research output per year

Search results

• 2024

  Rock Mass Structure Characterization Considering Finite and Folded Discontinuities: A Parametric Study

  Erharter, G. H., 2024, (Accepted/In press) In: Rock Mechanics and Rock Engineering.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Parametric Study 100%
  • Rock Mass 100%
  • Development 33%
  • Rock Mass Characterization 33%
  • Rock Engineering 33%
• 2023

  A 2023 perspective on Rock Mass Classification Systems

  Erharter, G. H., Hansen, T. F., Qi, S., Bar, N. & Marcher, T., 1 Oct 2023, Proceedings of the 15th International ISRM Congress 2023 & 72nd Geomechanics Colloquium: Challenges in Rock Mechanics and Rock Engineering. Salzburg, p. 758-763 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Rock 100%
  • Q System 25%

• A WGAN Approach to Synthetic TBM Data Generation

  Unterlaß, P. J., Erharter, G. H., Sapronova, A. & Marcher, T., 2023, Trends on Construction in the Digital Era - Proceedings of ISIC 2022. Gomes Correia, A., Azenha, M., Cruz, P. J. S., Novais, P. & Pereira, P. (eds.). Springer, Cham, Vol. 306. p. 3-19 17 p. (Lecture Notes in Civil Engineering; vol. 306 LNCE).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Approach 100%
  • TBM 100%
  • Tunnel Boring Machine 100%
  • Show 60%
  • Models 60%

• Building information modelling based ground modelling for tunnel projects – Tunnel Angath/Austria

  Erharter, G. H., Weil, J., Bacher, L., Heil, F. & Kompolschek, P., May 2023, In: Tunnelling and Underground Space Technology. 135, 105039.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Project 100%
  • Information 100%
  • Building 100%
  • Model 40%
  • Industry 10%

• Discussion on the paper “Success and challenges in predicting TBM penetration rate using recurrent neural networks” by Feng Shan, Xuzhen He, Danial Jahed Armaghani, Pin Zhang, Daichao Sheng

  Erharter, G. H. & Marcher, T., May 2023, In: Tunnelling and Underground Space Technology. 135, 105063.

  Research output: Contribution to journal › Comment/debate › peer-review

• On the Effect of Shield Friction in Hard Rock TBM Excavation

  Erharter, G. H., Goliasch, R. & Marcher, T., Apr 2023, In: Rock Mechanics and Rock Engineering. 56, 4, p. 3077-3092 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Friction 100%
  • Excavation 100%
  • Tunnel Boring Machine 100%
  • Tunnels 33%
  • Friction Coefficient 33%
• 2022

  Identifying Rock Loads on TBM Shields During Standstills (Non-Advance-Periods)

  Unterlaß, P. J., Erharter, G. H. & Marcher, T., 21 Aug 2022, (E-pub ahead of print) In: Geotechnical and Geological Engineering.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Load Variation 100%
  • Pressure Sensor 74%

• Improving face decisions in tunnelling by machine learning-based MWD analysis

  Hansen, T. F., Erharter, G. H., Marcher, T., Liu, Z. & Tørresen, J., Apr 2022, In: Geomechanics and Tunnelling . 15, 2, p. 222-231 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Learning System 100%
  • Measurements While Drilling 100%
  • Neural Network 50%
  • Drilling Parameter 12%
  • Drill and Blast 10%

• Machine learning - An approach for consistent rock glacier mapping and inventorying - Example of Austria

  Erharter, G. H., Wagner, T., Winkler, G. & Marcher, T., Dec 2022, In: Applied Computing and Geosciences. 16, 100093.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Cartography 100%
  • Approach 100%
  • Rock Glacier 100%
  • Inventory 50%
  • Map 30%

• Potential applications of machine learning for BIM in tunnelling

  Erharter, G. H., Weil, J., Tschuchnigg, F. & Marcher, T., Apr 2022, In: Geomechanics and Tunnelling . 15, 2, p. 216-221 6 p.

  Research output: Contribution to journal › Article › peer-review

  • Learning System 100%
  • Closed Circuit 25%
  • Artificial Intelligence 20%
  • Information Modeling System 20%
  • Computational Process 20%

• Practical recommendations for machine learning in underground rock engineering – On algorithm development, data balancing, and input variable selection

  Morgenroth, J., Unterlaß, P. J., Sapronova, A., Khan, U., Perras, M., Erharter, G. H. & Marcher, T., 4 Oct 2022, In: Geomechanics and Tunnelling . 15, 5, p. 650-657 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Algorithm 100%
  • Development 100%
  • Rock Engineering 100%
  • Machine Learning Algorithm 100%
  • Complexity 28%
• 2021

  A new parameter for TBM data analysis based on the experience of the Brenner Base Tunnel excavation

  Heikal, G., Erharter, G. H. & Marcher, T., 6 Sept 2021, In: IOP Conference Series: Earth and Environmental Science. 833, 1, 012158.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Tunnel Excavation 100%
  • Tunnel Boring Machine 100%
  • Tunnels 33%
  • Operational Data 33%
  • Energy Engineering 16%

• Capabilities and Challenges Using Machine Learning in Tunnelling

  Marcher, T., Erharter, G. H. & Unterlaß, P. J., 21 May 2021, (E-pub ahead of print) Theory and Practice on Tunnel Engineering. IntechOpen

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  Open Access

  • Rock Mass Classification 100%

• Cone penetration test dataset Premstaller Geotechnik

  Oberhollenzer, S., Premstaller, M., Marte, R., Tschuchnigg, F., Erharter, G. H. & Marcher, T., 2021, In: Data in Brief . 34, p. 1-11 106618.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Data Set 100%
  • Approach 25%
  • Behavior 25%
  • Parameter 25%
  • Software 25%

• Learning decision boundaries for cone penetration test classification

  Erharter, G. H., Oberhollenzer, S., Fankhauser, A., Marte, R. & Marcher, T., Apr 2021, In: Computer-Aided Civil and Infrastructure Engineering . 36, 4, p. 489-503 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Boundary 100%
  • Decision 100%
  • Decision Boundary 100%
  • Chart 60%
  • Investigation 20%

• On the pointlessness of machine learning based time delayed prediction of TBM operational data

  Erharter, G. H. & Marcher, T., Jan 2021, In: Automation in Construction. 121, 103443.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Prediction 100%
  • Models 100%
  • Tunnels 100%
  • Operational Data 100%
  • Fields 50%

• Reinforcement learning based process optimization and strategy development in conventional tunneling

  Erharter, G. H., Hansen, T. F., Liu, Z. & Marcher, T., Jul 2021, In: Automation in Construction. 127, 103701.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Optimization 100%
  • Development 100%
  • Reinforcement Learning 100%
  • Similarities 66%
  • Breakthrough 66%

• Stochastic 3D modelling of discrete sediment bodies for geotechnical applications

  Erharter, G. H., Tschuchnigg, F. & Poscher, G., Sept 2021, In: Applied Computing and Geosciences. 11, 100066.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Mesh 100%
  • Geotechnical Application 100%
  • Sediment 100%
  • Optical Instrument 100%
  • Models 66%
• 2020

  Machine Learning in tunnelling – Capabilities and challenges

  Marcher, T., Erharter, G. H. & Winkler, M., 1 Apr 2020, In: Geomechanics and Tunnelling . 13, 2, p. 191-198 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Science and Technology 100%
  • Engineering Geology 100%

• MSAC: Towards data driven system behavior classification for TBM tunneling

  Erharter, G. H. & Marcher, T., Sept 2020, In: Tunnelling and Underground Space Technology. 103, 103466.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Segmentation 100%
  • Torque 100%
  • Operational Data 50%
  • Multiple Step 50%
  • Computation 33%
• 2019

  Application of artificial neural networks for Underground construction – Chances and challenges: Insights from the BBT exploratory tunnel Ahrental Pfons

  Erharter, G. H., Marcher, T. & Reinhold, C., Oct 2019, In: Geomechanics and Tunnelling . 12, 5, p. 472-477 6 p.

  Research output: Contribution to journal › Article › peer-review

  • Tunnels 100%
  • Rock Mass 100%
  • Artificial Neural Network 100%
  • Underground Construction 100%
  • Tunnel Boring Machine 33%

• Artificial Neural Network Based Online Rockmass Behavior Classification of TBM Data

  Erharter, G. H., Marcher, T. & Reinhold, C., 2019, Information Technology in Geo-Engineering: Proceedings of the 3rd International Conference (ICITG), Guimarães, Portugal. Springer, (Geomechanics and Geoengineering).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Behavior 100%
  • TBM 100%
  • Ratio 40%
  • Accuracy 20%
  • Ability 20%

• Comparison of artificial neural networks for TBM data classification

  Erharter, G. H., Marcher, T. & Reinhold, C., 2019, Rock Mechanics for Natural Resources and Infrastructure Development: Full Papers: Proceedings of the 14th International Congress on Rock Mechanics and Rock Engineering (ISRM 2019). da Fontoura, S. A. B., Rocca, R. J. & Pavón Mendoza, J. (eds.). CRC Press

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Comparison 100%
  • TBM 100%
  • Behavior 66%
  • Self Organizing Systems 66%
  • Investigation 33%

• Geotechnical characteristics of soft rocks of the Inneralpine Molasse – Brenner Base Tunnel access route, Unterangerberg, Tyrol, Austria

  Erharter, G. H., Poscher, G., Sommer, P. & Sedlacek, C., Dec 2019, In: Geomechanics and Tunnelling . 12, 6, p. 716-720

  Research output: Contribution to journal › Article › peer-review

  • Molasse 100%
  • Claystone 50%
  • Hard Soil 50%
  • Weak Rock 33%
  • Glaciation 33%

• UAV-Based Discontinuity Analyses and Rock Fall Source Mapping in Alpine Terrain (Pletzachkogel/Tyrol/Austria)

  Erharter, G. H., Kieffer, D. S. & Prager, C., 2019, IAEG/AEG Annual Meeting Proceedings. Shakoor, A. & Cato, K. (eds.). Cham: Springer, Vol. 1. p. 317-323

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Cliff 100%
  • Rock Avalanche 49%
  • Safety Concern 37%
• 2018

  DiGeo: Introduction and a new tutorial to geological maps with QGIS 3.X

  Erharter, G. H. & Palzer-Khomenko, M., 1 Dec 2018, In: Austrian Journal of Earth Sciences. 111, 2, p. 223-224

  Research output: Contribution to journal › Article

  Open Access
• 2017

  Rockfall source area characterization using UAV-photogrammetry, digital mapping and Block Theory

  Kieffer, D. S., Erharter, G. H. & Kaspar, M., 12 Oct 2017.

  Research output: Contribution to conference › Poster