Articles | Volume 2
https://doi.org/10.5194/sand-2-79-2023
https://doi.org/10.5194/sand-2-79-2023
Conference Abstract
 | 
06 Sep 2023
Conference Abstract |  | 06 Sep 2023

No data instead of big data – a novel approach to stress modelling

Moritz O. Ziegler, Oliver Heidbach, and Mojtaba Rajabi

Viewed

Total article views: 230 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
139 64 27 230 24 21 25
  • HTML: 139
  • PDF: 64
  • XML: 27
  • Total: 230
  • Supplement: 24
  • BibTeX: 21
  • EndNote: 25
Views and downloads (calculated since 06 Sep 2023)
Cumulative views and downloads (calculated since 06 Sep 2023)

Cited

Latest update: 13 Dec 2024
Download
Short summary
The subsurface is subject to constant stress. With increasing depth, more rock overlies an area, thereby increasing the stress. There is also constant stress from the sides. Knowledge of this stress is fundamental to build lasting and safe underground structures. Very few data on the stress state are available; thus, computer models are used to predict this parameter. We present a method to improve the quality of the computer models, even if no direct data on the stress state are available.