Deep long short-term memory networks for nonlinear structural seismic response prediction

Mathematical analysis is an essential tool for the successful development and operation of wave energy converters (WECs). Mathematical models of moorings systems are therefore a requisite in the overall techno-economic design and operation of floating WECs. Mooring models (MMs) can be applied to a range of areas, such as WEC simulation, performance evaluation and optimisation, control design and implementation, extreme load calculation, mooring line fatigue life evaluation, mooring design, and array layout optimisation. The mathematical modelling of mooring systems is a venture from physics to numerics, and as such, there are a broad range of details to consider when applying MMs to WEC analysis. A large body of work exists on MMs, developed within other related ocean engineering fields, due to the common requirement of mooring floating bodies, such as vessels and offshore oil and gas platforms. This paper reviews the mathematical modelling of the mooring systems for WECs, detailing the relevant material developed in other offshore industries and presenting the published usage of MMs for WEC analysis.

Mathematical Modelling of Mooring Systems for Wave Energy Converters—A Review

A simplified method to predict fatigue damage of TTR subjected to short-term VIV using artificial neural network

ANN-based surrogate models for the analysis of mooring lines and risers

A dynamic model for the bed temperature prediction of circulating fluidized bed boilers based on least squares support vector machine with real operational data

R. Guarize

Papers

Neural networks in the dynamic response analysis of slender marine structures