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pro vyhledávání: '"P.K. Robertson"'
Autor:
P.K. Robertson
Publikováno v:
Canadian Geotechnical Journal. 59:1537-1537
Publikováno v:
Géotechnique. 51:577-585
An opportunity to re–examine the liquefaction potential of hydraulically placed tailings sand has been provided by the Canadian Liquefaction Experiment (CANLEX). As part of this experiment, undisturbed samples of tailings sand were recovered after
Publikováno v:
Canadian Geotechnical Journal. 32:848-858
Shear wave velocity (Vs) measurements were carried out in a triaxial testing program on three different cohesionless soils. The Vswas measured using bender elements during consolidation and at ultimate steady state. After consolidation the soil sampl
Autor:
P.K. Robertson, R.S. Ferreira
Publikováno v:
Canadian Geotechnical Journal. 31:71-78
Traditionally pressuremeter tests results are interpreted using only the loading pressure–expansion data. An interpretation method has been developed that makes use of both the loading and unloading portions of a pressuremeter test and incorporates
Autor:
P.K. Robertson, R.G. Campanella
Publikováno v:
Canadian Geotechnical Journal. 28:113-126
The flat dilatometer (DMT) test was introduced by Marchetti (1980) as a new in situ penetration test for soils. The equipment and test procedures are simple, and the test provides repeatable, nearly continuous data that has been empirically correlate
Autor:
P.K. Robertson, G. Vezina
Publikováno v:
[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation.
The authors show how a flexible resampling approach can be embedded within massively parallel implementations of multidimensional transformation algorithms based on one-dimensional resampling operations. They provide a consistent solution to the resa
Autor:
P.A. Fletcher, P.K. Robertson
Publikováno v:
Proceedings Visualization '93.
Autor:
J.M. Lilleyman, P.K. Robertson
Publikováno v:
Proceedings of the First International Conference on Massively Parallel Computing Systems (MPCS) The Challenges of General-Purpose and Special-Purpose Computing.
Massively parallel architectures are well suited to a class of SIMD image processing and visualisation algorithms based on separable transformations, for which multi-dimensional operations can be decomposed into independent one-dimensional operations
Publikováno v:
Proceeding Visualization '91.
Autor:
P.K. Robertson
Publikováno v:
Proceedings of the First IEEE Conference on Visualization: Visualization `90.