Andrew Squelch
Colorado School of Mines
43 Papers
156 Citations
Andrew Squelch is an academic researcher from Colorado School of Mines. The author has contributed to research in topics: Medicine & Aortic dissection. The author has an hindex of 12, co-authored 43 publications. Previous affiliations of Andrew Squelch include Pawsey Supercomputing Centre & Council of Scientific and Industrial Research.
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Papers
•Journal Article
Virtual reality for mine safety training in South Africa
TL;DR: The conclusion from this evaluation work is that virtual reality technology has the potential to provide effective training systems that are relevant to the South African mining industry.
79
Modelling of aortic aneurysm and aortic dissection through 3D printing.
TL;DR: If the complex anatomy of aneurysm and aortic dissection can be accurately reproduced from a contrast‐enhanced computed tomography (CT) scan into a three‐dimensional (3D) printed model is assessed.
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Improved estimates of percolation and anisotropic permeability from 3-D x-ray microtomography using stochastic analyses and visualization
Jie Liu,Klaus Regenauer-Lieb,Klaus Regenauer-Lieb,Chris Hines,Keyu Liu,Oliver Gaede,Andrew Squelch +6 more
TL;DR: In this paper, the authors developed a new approach to extract scale-dependent characteristics of porosity, percolation, and anisotropic permeability from 3D microstructural models of rocks.
Application of X-ray micro-computed tomography in (U-Th)/He thermochronology
Noreen J. Evans,Noreen J. Evans,Brent I.A. McInnes,Brent I.A. McInnes,Andrew Squelch,Peter Austin,Bradley J. McDonald,Bradley J. McDonald,Quianhong Wu +8 more
TL;DR: This paper used X-ray Micro-Computed Tomography (MicroCT) analysis to determine the correction factor (FHe) that accounts for potential helium loss due to alpha ejection during the decay of U and Th located in the outer 20µm of a mineral grain.
52
Automatic detection of anisotropic features on rock surfaces
TL;DR: In this article, an automatic technique to detect anisotropic features on rock faces based on fractal analysis has been developed, which has been applied to synthetic surfaces and to digitally mapped point clouds of natural rock surfaces shaped by weathering, fault wear, and mining.