A cautionary tale: How phase compensation during surface nuclear magnetic resonance inversion conceals forward modelling errors
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DOI: 10.1016/j.jappgeo.2019.103905
Abstract: Abstract Surface nuclear magnetic resonance (NMR) data are sensitive to key hydrogeological parameters including water content and pore size. The measured data are modelled as a complex sinusoidal exponential decay where the phase is a… read more here.
Keywords: modelling errors; phase; inversion; surface nuclear ... See more keywords
Insight into centrifuge modelling errors in predicting embedment depths of dynamically installed anchors
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DOI: 10.1139/cgj-2017-0380
Abstract: In centrifuge modelling of dynamic events, a common practice is to preserve the inertial effect. This will lead to a loss of similitude in the strain rate between model and prototype. For centrifug... read more here.
Keywords: centrifuge modelling; modelling errors; predicting embedment; errors predicting ... See more keywords