Published 2010 | Version v1
Miscellaneous

Benchmarking multi-dimensional large strain consolidation analyses

  • 1. Univ. of British Columbia, Vancouver, BC (Canada)
  • 2. SoilVision Systems Inc., Saskatoon, SK (Canada)

Description

Analyzing the consolidation of tailings slurries and dredged fills requires a more extensive formulation than is used for common (small strain) consolidation problems. Large strain consolidation theories have traditionally been limited to 1-D formulations. SoilVision Systems has developed the capacity to analyze large strain consolidation problems in 2 and 3-D. The benchmarking of such formulations is not a trivial task. This paper presents several examples of modeling large strain consolidation in the beta versions of the new software. These examples were taken from the literature and were used to benchmark the large strain formulation used by the new software. The benchmarks reported here are: a comparison to the consolidation software application CONDES0, Townsend's Scenario B and a multi-dimensional analysis of long-term column tests performed on oil sands tailings. All three of these benchmarks were attained using the SVOffice suite. (author)

Part of:
Uranium 2010: The Future is U. Proceedings Volume 1 and 2

Additional details

Publishing Information

Publisher
The Canadian Inst. of Mining, Metallurgy and Petroleum
Imprint Place
Westmount, Quebec (Canada)
ISBN
1-894475-97-6
Imprint Title
Uranium 2010: The Future is U. Proceedings Volume 1 and 2
Imprint Pagination
2 v.
Journal Page Range
(v.2) p. 277-288

Conference

Title
3. International Conference on Uranium; 40. Annual Hydrometallurgy Meeting
Acronym
Uranium 2010 The Future is U
Dates
15-18 Aug 2010
Place
Saskatoon, Saskatchewan (Canada)

INIS

Country of Publication
Canada
Country of Input or Organization
Canada
INIS RN
48061196
Subject category
S12: MANAGEMENT OF RADIOACTIVE WASTES, AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES;
Resource subtype / Literary indicator
Conference, Non-conventional Literature, Numerical Data
Descriptors DEI
EXPERIMENTAL DATA; MANY-DIMENSIONAL CALCULATIONS; SLURRIES; SOLID WASTES; TAILINGS
Descriptors DEC
DATA; DISPERSIONS; INFORMATION; MIXTURES; NUMERICAL DATA; SOLID WASTES; SUSPENSIONS; WASTES

Optional Information

Notes
9 refs., 13 figs.