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Hyoungsu Park

Researcher at Oregon State University

Publications -  33
Citations -  883

Hyoungsu Park is an academic researcher from Oregon State University. The author has contributed to research in topics: Breaking wave & Debris. The author has an hindex of 12, co-authored 33 publications receiving 553 citations. Previous affiliations of Hyoungsu Park include Dole Food Company & University College of Engineering.

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An agent-based model of a multimodal near-field tsunami evacuation: Decision-making and life safety

TL;DR: In this article, the authors present a multimodal evacuation simulation for a near-field tsunami through an agent-based modeling framework in Netlogo, and investigate how the varying decisn time impacts the mortality rate, how the choice of different modes of transportation (i.e., walking and automobile), and how existence of vertical evacuation gates impacts the estimation of casualties.
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Tsunami inundation modeling in constructed environments: A physical and numerical comparison of free-surface elevation, velocity, and momentum flux

TL;DR: In this article, a laboratory benchmark test for tsunami inundation through an urban waterfront including free surface elevation, velocity, and specific momentum flux is presented and compared with a numerical model (COULWAVE).
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Experimental modeling of horizontal and vertical wave forces on an elevated coastal structure

TL;DR: A large-scale physical model was created in Oregon State University's Large Wave Flume to collect an extensive dataset measuring wave-induced horizontal and vertical forces on an idealized coastal structure as discussed by the authors.
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Probabilistic decision-support framework for community resilience: Incorporating multi-hazards, infrastructure interdependencies, and resilience goals in a Bayesian network

TL;DR: This framework is applied for resilience assessment of building, transportation, water, and electric power infrastructure systems in Seaside, Oregon, under combined earthquake ground shaking and tsunami inundation hazards corresponding to different return periods.
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Probabilistic assessment of near-field tsunami hazards: Inundation depth, velocity, momentum flux, arrival time, and duration applied to Seaside, Oregon

TL;DR: In this article, a new method is presented to characterize the randomness of the fault slip in terms of the moment magnitude, peak slip location, and a fault slip shape distribution parameterized as a Gaussian distribution.