Kalman Filtering for Soil Liquefaction: A Field Study
Minho Fernando
Imperial College London
Sabrina Haque
Delft University of Technology
Abstract
Climate variability has introduced new challenges for the management of soil liquefaction in cement production. A comprehensive model was developed and solved by means of Kalman filtering to capture the dominant physical mechanisms. The largest improvement, close to 20%, was obtained for the case with 4 stages. The demonstrated performance gains clearly justify the additional effort required for practical implementation.
Keywords:
soil liquefactionKalman filteringpower qualityfinite element methodcharacter recognition
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