A geostatistical inverse approach to characterize the spatial distribution of deformability and shear strength of rock mass around an unlined rock cavern

Xu Gao, E. Chuan Yan, Tian-Chyi J Yeh, Jing Sen Cai, Yue Liang, Min Wang

Research output: Contribution to journalArticle

Abstract

A geostatistical back analysis is developed, which can map spatially distributed Young's modulus (E), cohesion (c), and internal friction angle (ϕ) in a rock mass by fusion of the observed displacement data from the excavation of an unlined rock cavern. It is tested and validated using numerical experiments with a synthetic heterogeneous rock mass, created with field observed spatial variability. Results of the experiments show that this approach yields unbiased estimates of E, c, and ϕ fields and quantifies their uncertainty. Further, the estimated fields predict the plastic zone distribution and displacements of cavern periphery, which are nearly identical to those of the true field.

Original languageEnglish (US)
Pages (from-to)106-119
Number of pages14
JournalEngineering Geology
Volume245
DOIs
StatePublished - Nov 1 2018

Fingerprint

cavern
Formability
Shear strength
shear strength
Spatial distribution
Rocks
spatial distribution
rock
back analysis
Young modulus
Internal friction
Excavation
cohesion
excavation
Fusion reactions
friction
experiment
Elastic moduli
plastic
Experiments

Keywords

  • Displacement inversion
  • Heterogeneity
  • Shear strength
  • Successive linear estimator
  • Unlined rock cavern
  • Young's modulus

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geology

Cite this

A geostatistical inverse approach to characterize the spatial distribution of deformability and shear strength of rock mass around an unlined rock cavern. / Gao, Xu; Chuan Yan, E.; Yeh, Tian-Chyi J; Cai, Jing Sen; Liang, Yue; Wang, Min.

In: Engineering Geology, Vol. 245, 01.11.2018, p. 106-119.

Research output: Contribution to journalArticle

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AU - Liang, Yue

AU - Wang, Min

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