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An Approach for Ridge Load Determination in Probabilistic Design

Author(s): Tuomo Karna; Esa Nykanen

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Abstract: This paper addresses the methods of determining ice loads caused by first-year ice ridges in connection with a probabilistic analysis of the ice loads. A typical probabilistic analysis is done using the Monte Carlo simulation technique. While using this method, the ice loading formulas should not require extensive computations. Two solutions are proposed to evaluate the keel force component of the ridge load with a very small computational effort. First, an advanced ridge model is used to teach a neural network to provide the same results as the basic model. Second, the same advanced model is used to derive small modifications to the Dolgopolov's keel force model. After these modifications this model can be considered as a reliable method to provide an upper bound value for the keel load.

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Year: 2004

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