Dynamic fluid loading is of major concern to the off shore industry. Impacted structures may exhibit accel- erated fatigue and even failure. Load monitoring has therefore become an integral part of structural health monitoring. Obtaining direct load measurements can be cumbersome, e.g. obtaining strain gauge or pres- sure taps measurements. In this work, an alternative indirect method is proposed. The method revolves around building a mapping between more easily accessible wake velocity measurements and the induced loads. Classical machine learning techniques are adopted and relatively compact models, able to be run in real-time, are obtained. The method is illustrated on vortex-induced loads on a submerged cylinder.
|Title of host publication||Proceedings of the International Conference on Noise and Vibration Engineering (ISMA)|
|Publication status||Published - 2020|
|Event||International Conference on Noise and Vibration Engineering 2020 - Leuven, Belgium|
Duration: 7 Sep 2020 → 9 Sep 2020
|Conference||International Conference on Noise and Vibration Engineering 2020|
|Period||7/09/20 → 9/09/20|