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A Novel Quasi-3D Landslide Dynamics Model: From Theory to Applications and Risk Assessment

机译:一种新型的准3D滑坡动力学模型:从理论到应用及风险评估

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Submarine landslides can pose a significant threat to offshore installations and coastal communities. They can strike installations far from their origin and generate destructive tsunamis. To assess and quantify this hazard, it is necessary to be able to model their dynamics in complex submarine environments with realistic rheological input parameters. Many submarine landslides involve cohesive visco-plastic soils, which can be described mathematically by rheological models such as the non-linear Herschel-Bulkley model. To model these events, accounting for complex bathymetry and rheological behavior, NGI has developed BingClaw. It incorporates buoyancy, hydrodynamic resistance and remolding, which are crucial for underwater landslide dynamics. BingClaw has been used to study the dynamics and tsunami generation of some of the largest and most complex submarine landslides in the world such as the Storegga Slide about 8000 years ago and the 1929 Grand Banks landslide and tsunami. In both cases, BingClaw provided a far more realistic description of both the landslide dynamics and the induced tsunami than other models. The link to the tsunami generation was used to better constrain the landslide dynamics. Here, we demonstrate how BingClaw is used for geohazard applications, including attempts to hindcast past landslides directly relevant to these applications, as often rheological data are sparse or not available from a given site. We first present benchmark results comparing the landslide model with results from laboratory experiments. Then, we show comparisons between simulations and observed landslide run-out for both offshore and onshore applications. The onshore application provides additional well-controlled field studies for validation, in soils with high sensitivity. We also used BingClaw in an offshoreearshore geohazard project, namely the Bjornafjorden project offshore western Norway. There, we linked the runout analysis directly to static and seismic slope stability evaluations, and the predicted run-out scenarios were used in the assessment of competing bridge concepts and their foundations in the deep fjord (around 560 m water depth). These studies illustrate that this novel method, applicable for onshore and offshore geohazard assessments, can reliably reproduce field observations using realistic rheological parameters, which is important when estimating the risk posed by submarine mass movements, particularly with respect to the potential impact on infrastructure.
机译:潜艇滑坡可能对海上设施和沿海社区构成重大威胁。他们可以击中远离原产地的安装并产生破坏性的海啸。为了评估和量化这一危险,有必要能够以逼真的流变输入参数在复杂的潜艇环境中模拟它们的动态。许多潜水艇滑坡涉及粘性粘塑料土壤,其可以通过流变模型如非线性HERSCHEL-BOLKLEY模型进行数学上描述。为了模拟这些事件,占复杂的沐浴和流变行为,NGI已经发展起来。它包含浮力,流体动力学和倒回,这对于水下滑坡动力学至关重要。 Bingclaw已被用来研究世界上一些最大和最复杂的潜水艇的动态和海啸生成,如店面山区大约8000年前,1929年的大银行Landslide和海啸。在这两种情况下,Bingclaw对滑坡动力学和诱导的海啸提供了更现实的描述而不是其他模型。海啸生成的链接用于更好地限制滑坡动力学。在这里,我们展示了Bingclaw如何用于地质血清应用,包括如何尝试与这些应用直接相关的山底鞋,因为流变数据是稀疏或从给定的网站获得的。我们首先将基准结果与实验室实验的结果进行比较。然后,我们在仿真和陆上应用程序中展示了模拟和观察到的滑坡射出的比较。陆上应用提供了额外的良好控制的现场研究,用于验证,在具有高灵敏度的土壤中。我们还在海上/近岸地质曲集项目中使用了Bingclaw,即挪威海上Bjornafjorden项目。在那里,我们将跳动分析直接与静态和地震斜坡稳定性评估进行了联系起来,预测的跑道情景用于评估竞争桥梁概念及其深峡湾(水深大约560米)的基础。这些研究表明,这种新的方法适用于陆上和海上地质曲集型评估,可以使用现实的流变参数可靠地再现现场观察,这在估算潜艇质量运动造成的风险时非常重要,特别是关于对基础设施的潜在影响。

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