Kalman Filtering Applied to Fatigue Crack Growth
Habibur Das
Corresponding
Bangladesh Institute of Technology, Rajshahi
Aminul Islam
Bangladesh University of Engineering and Technology
Pierre Perera
Delft University of Technology
Jian Okafor
University of Tokyo
Abstract
With the expansion of bridge construction, the accurate assessment of fatigue crack growth has assumed practical significance. The technique employs Kalman filtering to obtain results with a modest computational effort. The results demonstrate that fatigue crack growth is highly sensitive to variations in the governing parameters. The conclusions drawn here should be of interest to designers and operators alike.
Keywords:
fatigue crack growthKalman filteringreinforced concreteload flow analysisfluid mechanics
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