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Intelligent Engineering Systems through Artificial Neural Networks

Editor
Cihan H. Dagli
Cihan H. Dagli
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K. Mark Bryden
K. Mark Bryden
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Steven M. Corns
Steven M. Corns
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Mitsuo Gen
Mitsuo Gen
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Kagan Tumer
Kagan Tumer
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Gürsel Süer
Gürsel Süer
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ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009

Advances in the application of X-ray computed tomography (CT) for evaluation of soil porosity have added a new research tool for investigating porosity features. Objectives of this study were to evaluate CT scan porosity images using fractal dimension and lacunarity and to relate these fractal properties to bulk core properties of soil saturated hydraulic conductivity and macroporosity. Forty intact samples taken at four depths were scanned at 7 mm distances throughout each core to provide eight scans per sample. CT-measured density from samples equilibrated to three soil water potentials was found to be fractal at a scale from 0.2 to 76 mm. Fractal lacunarity of CT-measured density was found to be a quadratic function of soil depth while fractal dimension was not correlated with depth. Fractal lacunarity of CT-measured density was significantly correlated with log-transformed saturated hydraulic conductivity (r = 0.66) and macroporosity (r = 0.74). Lacunarity was found to be more sensitive than fractal dimension in differentiating effects of soil depth. This study illustrates how X-ray CT images from soil cores can be evaluated using fractal analysis techniques to obtain parameters which correlate with core-scale soil physical properties.

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