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Prediction of the initial Movement of Objects on the Sea Floor

机译:预测海底物体初始运动

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The presence of a huge amount unexploded ordnance devices (UXO) on the sea floor is one of the major problems during installation and maintenance of offshore wind farms and other offshore structures. To identify all targets, time and cost consuming campaigns are necessary. The clearance of UXO is often limited by time due to the idea that UXO can migrate on the sea floor. Therefore the UXO-measure has to be revisited in some cases before installation or repair. Thus it might be possible, that additional UXO-measures are necessary before starting any operations touching the seabed. Insofar a better understanding of the migration of objects on the sea floor may help to improve currently used methods of time-dependent clearance by more knowledge-based decisions. The aim of this study is to investigate the requirements of initial movement of objects on the sea floor. This has been done by the analysis of literature, previous investigation to scour and burial of such objects, wind-tunnel experiments as well as experiments in a water channel. Additionally, numerical simulations allowed comparisons, combinations and a generalization of experimental results. A new mathematical model developed and validated allows a prediction of the incident fluid velocity that is necessary for an inertial motion of defined cylindrical and spherical objects. This model allows a reliable prediction of the initial migration of objects on a sandy sea floor. It is based on physical parameters, which depend on predictable and measurable events like currents, tides and indirectly on the weather conditions.
机译:海底上的巨额未爆炸的军械设备(UXO)的存在是海上风电场和其他海上结构的安装和维护过程中的主要问题之一。要确定所有目标,需要时间和成本消耗的活动是必要的。由于UXO可以在海底迁移,因此UXO的许可往往受到限制。因此,在安装或修理之前必须在某些情况下重新审视UXO措施。因此,在开始触及海底的任何操作之前,可能需要额外的UXO措施。谨此了解对海底物体迁移的更好理解可能有助于通过更多基于知识的决策来改进目前使用的时间依赖性许可方法。本研究的目的是调查海底物体初始流动的要求。这是通过对文献的分析,以前调查的擦除和埋葬这些物体,风洞实验以及水通道的实验。此外,数值模拟允许比较,组合和实验结果的概括。开发和验证的新数学模型允许预测所限制的圆柱形和球形物体的惯性运动所需的入射流体速度。该模型允许在沙地海底上可靠地预测物体的初始迁移。它基于物理参数,这取决于可预测和可测量的事件,如电流,潮汐和间接地在天气条件下。

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