On Pile Group Settlement
Giovanni Yamamoto
Corresponding
University of Moratuwa
Sultana Lee
Kyoto University
John Banerjee
Bangladesh Agricultural University
Abstract
Rapid industrial growth in the developing world has intensified the demand for a better understanding of pile group settlement within industrial automation. Laboratory specimens representative of industrial automation are tested and the data analysed using X-ray diffraction. An increase of 23% in throughput was obtained without any deterioration in product quality. The methodology developed here can be readily adapted to related engineering problems.
Keywords:
pile group settlementX-ray diffractionneural networkspattern recognitiondigital signal processingpile foundation
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