SPH-based numerical modeling for the post-failure behavior of the landslides triggered by the 2016 Kumamoto earthquake
SPH-based numerical modeling for the post-failure behavior of the landslides triggered by the 2016 Kumamoto earthquake
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基于 SPH 的 2016 年熊本地震引发的滑坡破坏后行为数值模拟
DOI：
10.1186/s40677-016-0058-5
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发表时间：
2016-11
影响因子：
4.8
通讯作者：
Iio Akinori
中科院分区：
文献类型：
--
作者：
Dai Zi-li;Wang Fa-wu;Huang Yu;Song Kun;Iio Akinori
2016年熊本地震在日本九州地区引发了多次快速滑坡，造成了巨大的破坏，增加了震后救援的难度。地震诱发滑坡的失稳后行为分析对于确定危险区域和估计破坏程度具有重要意义。结果在实地调查的基础上，总结了熊本地震引发滑坡的特征，并对滑坡造成的破坏进行了描述。在此基础上，引入了光滑颗粒流体力学（SPH）方法，并基于Bingham流动模型和连续运动方程建立了三维数值模型。应用该模型对熊本地震带两个典型的快速滑坡进行了模拟。再现了它们的传播过程，得到了速度和跳动距离的时间历程。结论模拟的跳动距离与现场证据吻合，验证了SPH模型的计算精度。本文提出的基于sph的破坏后行为分析方法将有助于预防和缓解快速滑坡灾害。
BackgroundThe 2016 Kumamoto earthquake triggered many fast landslides in Kyushu Region, Japan, which caused great damages and increased difficulty of rescue after the earthquake. The post-failure behavior analysis of the earthquake-triggered landslides is of great importance to determine the hazardous areas and estimate the extent of damage.ResultsThe features of the landslides triggered by the Kumamoto earthquake were presented and the damages caused were described based on the field investigation. Then, a mesh-free particle method called smoothed particle hydrodynamics (SPH) was introduced and a 3D numerical model was established based on a Bingham flow model and the equations of continuity and motion. Applying this model, two typical fast landslides in the Kumamoto earthquake zone were simulated. Their propagations were reproduced and the time histories of the velocity and run-out distance were obtained.ConclusionsThe run-out distances simulated matched the in-situ evidences, thus verifying the calculation accuracy of the SPH model. The SPH-based approach presented in this work for the post-failure behavior analysis should contribute to the prevention and mitigation of fast landslide disaster.
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DOI：
10.1201/9781439833933.ch9
发表时间：
2005-12
期刊：
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影响因子：
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影响因子：
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DOI：
10.1080/19648189.2011.9695304
发表时间：
2011-01
影响因子：
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DOI：
10.1002/nag.705
发表时间：
2009-02
影响因子：
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