TY - GEN
T1 - Flow visualisation in a geotechnical centrifuge under controlled seepage conditions
AU - Beckett, Christopher
AU - Fourie, Andy B.
PY - 2018/7/17
Y1 - 2018/7/17
N2 - Image analysis is a powerful tool to obtain high-resolution displacement data from centrifuge models non-destructively. However, ‘invisible’ features, for example the phreatic surface, cannot be captured. Rather, analysis must rely on traditional measurement techniques, e.g. pressure transducers. Depending on the geotechnical complexity of the model, such discrete technologies might be insufficient. In this paper,we describe the processes used to inject a tracking fluid to visually identify flow patterns through a model slope. The merits of three tracing fluids were assessed: acrylic-resin ink (“artist’s ink”); food-grade dye; and a fluorescent, low viscosity dye (sodium fluorescein). Results showed that the developed injection technique was able to deliver the fluid without otherwise affecting seepage conditions. Depending on the fluid selected, the technique was equally able to examine the migration of a dense contaminant, assess model homogeneity or identify hidden flaws.
AB - Image analysis is a powerful tool to obtain high-resolution displacement data from centrifuge models non-destructively. However, ‘invisible’ features, for example the phreatic surface, cannot be captured. Rather, analysis must rely on traditional measurement techniques, e.g. pressure transducers. Depending on the geotechnical complexity of the model, such discrete technologies might be insufficient. In this paper,we describe the processes used to inject a tracking fluid to visually identify flow patterns through a model slope. The merits of three tracing fluids were assessed: acrylic-resin ink (“artist’s ink”); food-grade dye; and a fluorescent, low viscosity dye (sodium fluorescein). Results showed that the developed injection technique was able to deliver the fluid without otherwise affecting seepage conditions. Depending on the fluid selected, the technique was equally able to examine the migration of a dense contaminant, assess model homogeneity or identify hidden flaws.
M3 - Conference contribution
SN - 978-1-138-34422-8
VL - 2
SP - 823
EP - 828
BT - Physical Modelling in Geotechnics
A2 - McNamara, Andrew
A2 - Divall, Sam
A2 - Goodey, Richard
A2 - Taylor, Neil
A2 - Stallebrass, Sarah
A2 - Panchal, Jignasha
PB - CRC PRESS-TAYLOR & FRANCIS GROUP
CY - UK
ER -