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scienceJul 27, 202110:38pending

Learning the Complexities of Tsunami Debris-field Behavior

About this episode

Tsunami engineer Mike Motley discusses the data analysis work ahead for his team, which recently completed 410 individual tsunami-debris tests in the NHERI at Oregon State University large wave flume. They are working with thousands of time history plots: things like forces, pressures, velocities wave-heights — that all need to be associated with different debris configurations, accelerometer data (from debris pieces) as well as high-speed video data. They are looking for trends, with the goal of understanding what specific kinds of debris-loading looks like on structures. By identifying randomness with trends relating to mass, they hope to explain loading and damming patterns. Motley also discusses a coupled approach to debris-flow modeling, the next phase of the research. The plan is to join computational fluid dynamics (CFD) and material point method (MPM) models, which will enable the researchers to see how individual pieces of debris behave under specific fluid pressures.

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Learning the Complexities of Tsunami Debris-field Behavior

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