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Seafloor Burial of Surrogate Unexploded Ordnance by Wave-Induced Sediment Instability

机译:海底埋葬代理人的沉积物不稳定的替代沉积物

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摘要

Burial of munitions and other unexploded ordnance (UXO) on the seafloor complicates the detection and remediation of associated threats in coastal areas. We observed up to 0.6-m burial of surrogate UXO placed near the 8-m isobath during a series of winter storm events from late January to early March 2015 in Duck, NC, USA. We used time series from a pressure sensor located roughly 1 m above the bed during the experiment to apply an existing analytical solution for dynamic poroelastic wave-sediment interaction. The analytical solution yielded the spatial and temporal distributions of wave-induced pore pressures and effective stresses, which were used to evaluate five different criteria for wave-induced sediment instability. Four of the criteria have been applied previously considering different deterministic or stochastic wave types, whereas the fifth is novel and may be regarded as a generalization of the Sleath condition for plug flow. Using the estimated maximum depths of sediment instability (or bed failure) as predictors for observed surrogate UXO burial depths, we concluded that criteria based on vertical effective stress and the vertical distribution of pore pressures were most accurate. We believe that our data and the accompanying analysis are unique in the literature, where field observations of wave pressures were combined with a dynamic wave-seafloor interaction model to make predictions of sediment failure depths that were validated against actual observations of surrogate UXO burial depths.
机译:海底地区的弹药和其他未爆炸的军械(UXO)使沿海地区的相关威胁的检测和修复复杂化。我们在一系列冬季风暴事件中观察到靠近8米的冬季风暴事件,从1月下旬到2015年初在美国,NC,NC,USA。在实验期间,我们使用从床上大约1米的压力传感器的时间序列,以应用用于动态孔弹性波沉积物相互作用的现有分析解决方案。分析解决方案产生了波诱导的孔隙压力和有效应力的空间和时间分布,其用于评估五种不同的波引起的沉积物不稳定性标准。先前已经考虑了不同的确定性或随机波类型的四种标准,而第五是新颖的,并且可以被认为是塞流的斜面条件的概括。利用估计的沉积物不稳定(或床故障)作为观察到代理UXO埋藏深度的预测因子,我们得出结论,基于垂直有效应力和孔隙压力垂直分布的标准最准确。我们认为,我们的数据和随附的分析在文献中是独一无二的,其中波压的现场观察与动态波浪海底相互作用模型相结合,以便对替代UXO埋藏深度的实际观察进行验证的沉积物破坏深度的预测。

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