Runout evaluation of Oso landslide with the material point method

Оценка дальности выброса оползня Озо методом материальных точек
Kenichi Soga, Jonathan D. Bray, Alba Yerro
2018-12-04

Oso landslidelandslide runoutlarge deformationmaterial point methodsoil softening
Long runout landslides can cause significant damage and represent one of the most important problems in geotechnical engineering. Understanding the mechanics of the landslide runout process is important for risk assessment and is challenging due to its complexities. This work examines the runout of the 22 March 2014 Oso, Washington, landslide. The Oso landslide is one of the worst landslide disasters in USA history with 43 fatalities. It occurred in multiple failure stages, involving several failure surfaces and significant soil softening, and travelled over 1 km across the valley. It initiated after a period of wet weather in an area prone to landslide movements. The triggering causes of the landslide movement are still under investigation. In this paper, the material point method is used to simulate the runout of the Oso landslide. This numerical tool is capable of modeling large deformation problems. It is used to investigate several hypothetical scenarios to identify key factors that contributed to the Oso landslide long runout distance.
1
The Oso landslide involved multiple failure stages, several failure surfaces, substantial soil softening, and more than 1 km of valley travel.
2
The analysis addresses runout mechanics relevant to risk assessment, while recognizing that the landslide’s triggering causes remain under investigation.
3
The simulations investigate hypothetical scenarios to identify factors contributing to the landslide’s exceptionally long runout distance.
4
The study applies the material point method to simulate the large-deformation runout of the 22 March 2014 Oso landslide.

the runout of the 22 March 2014 Oso, Washington, landslide

key factors contributing to the landslide’s long runout distance under hypothetical failure scenarios

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2018-12-04
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Kenichi Soga
Jonathan D. Bray
Alba Yerro
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