Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Buchkapitel |
| DOI | 10.3233/978-1-61499-580-7-880 |
| Titel (primär) | Approaches towards a probabilistic assessment of geotechnical parameter distributions relying on geophysical imaging |
| Titel (sekundär) | Geotechnical safety and risk V |
| Autor | Paasche, H. |
| Herausgeber | Schweckendiek, T.; Van Tol, A.F.; Pereboom, D.; Van Staveren, A.; Cools, P.M.C.B.M. |
| Erscheinungsjahr | 2015 |
| Department | MET |
| Seite von | 880 |
| Seite bis | 885 |
| Sprache | englisch |
| Keywords | Self-organizing inversion; ambiguity; cone penetration test; crosshole tomography; cluster analysis; prediction; probabilistic; sleeve friction |
| UFZ Querschnittsthemen | RU5; |
| Abstract | Geophysical imaging techniques, such as seismic crosshole tomographic methods, provide spatially continuous information about physical parameter variations in the ground. This physical parameter information, e.g., distribution of seismic velocities, is frequently used to estimate spatial distributions of geotechnical target parameters that could only be calibrated by sparse measurements in boreholes. The employed geophysical model generation procedure is usually deterministic, which does not allow for transducing the ambiguity inherent to the geophysical imaging procedure into the prediction of spatial geotechnical target parameter distributions. Here, we review self-organizing geophysical inversion of tomographic data allowing for datadriven ambiguity assessment of geophysical models. Opposite to deterministic geophysical imaging resulting in a single geophysical model this approach delivers ensembles of different but equally plausible geophysical models. We use this probabilistic information about geophysical model uncertainty and employ fuzzy cluster analysis for propagating the geophysical model generation uncertainty into probabilistic inference of spatial geotechnical parameter distributions exemplary illustrated by generating 2D scenarios of sleeve friction distribution. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=16676 |
| Paasche, H. (2015): Approaches towards a probabilistic assessment of geotechnical parameter distributions relying on geophysical imaging In: Schweckendiek, T., Van Tol, A.F., Pereboom, D., Van Staveren, A., Cools, P.M.C.B.M. (eds.) Geotechnical safety and risk V IOS Press, Amsterdam, p. 880 - 885 10.3233/978-1-61499-580-7-880 |
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