The Soft Rock Socketed Monopile with Creep Effects-A Reliability Approach based on Wavelet Neural Networks

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Abstract

In the present study the numerical model of the pile embedded in marl described by a time dependent model, based on laboratory tests, is proposed. The solutions complement the state of knowledge of the monopile loaded by horizontal force in its head with respect to its random variability values in time function. The investigated reliability problem is defined by the union of failure events defined by the excessive horizontal maximal displacement of the pile head in each periods of loads. Abaqus has been used for modeling of the presented task with a two layered viscoplastic model for marl. The mechanical parameters for both parts of model: plastic and rheological were calibrated based on the creep laboratory test results. The important aspect of the problem is reliability analysis of a monopile in complex environment under random sequences of loads which help understanding the role of viscosity in nature of rock basis constructions. Due to the lack of analytical solutions the computations were done by the method of response surface in conjunction with wavelet neural network as a method recommended for time sequences process and description of nonlinear phenomenon.

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Kozubal, J., Tomanovic, Z., & Zivaljevic, S. (2016). The Soft Rock Socketed Monopile with Creep Effects-A Reliability Approach based on Wavelet Neural Networks. Archives of Mining Sciences, 61(3), 571–585. https://doi.org/10.1515/amsc-2016-0041

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