Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...

Details

Autor(en) / Beteiligte
Titel
Determining of the Joint Roughness Coefficient (JRC) of Rock Discontinuities Based on the Theory of Random Fields
Ist Teil von
  • Geosciences (Basel), 2019-07, Vol.9 (7), p.295
Ort / Verlag
Basel: MDPI AG
Erscheinungsjahr
2019
Link zum Volltext
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • This work intends to embed the estimation of the joint roughness coefficient (JRC) in the framework of random fields. The random field method is a probabilistic approach which involves modeling of the spatial variability of the pertinent physical quantities as a fundamental part of the (assumed) underlying probabilistic structure. Although this method is one of higher complexity in regard of the presumed background knowledge, it encodes naturally subtler information about the rock surface roughness. It is noted that, the proposed random field approach considers automatically the scale of the problem (no correction factor is needed), whilst the JRC estimates appear to be more stable (compared to those derived from Z2 or SF) in the sense that images of the same profile but of different quality give similar results for its roughness. The present work could also be useful in advanced probabilistic rock slope stability analysis based on random fields. In such a case, the required spatial correlation length θ can be obtained by the proposed θ = 145.5 σ/JRC relationship (σ = variance of the profile). The JRC can be obtained through tilt tests, push or pull tests, or matching roughness profiles, whilst σ can be obtained from inspection of the digitized profile.
Sprache
Englisch
Identifikatoren
ISSN: 2076-3263
eISSN: 2076-3263
DOI: 10.3390/geosciences9070295
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_8c7cf0cccff84101a2bebebc85692ec8

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX