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contributor authorSolomon C. Yim
contributor authorMichael J. Olsen
contributor authorKwok Fai Cheung
contributor authorMohsen Azadbakht
date accessioned2017-05-08T22:07:41Z
date available2017-05-08T22:07:41Z
date copyrightAugust 2014
date issued2014
identifier other30141001.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/71872
description abstractThis paper presents an integrated, interdisciplinary methodology incorporating multiphysics, multiscale numerical modeling and simulation from tsunami generation, propagation, and inundation to subsequent coupled structural response and associated fluid loads. This novel, cohesive approach performs these simulations across a large spectrum of scales, enabling structural engineers to take full advantage of the detail available in recent advances in tsunami modeling, geospatial data collection, and computational structural mechanics. Extensive seismic networks, geodetic instruments, and water-level stations provide unprecedented data sets, enabling one to model, simulate and reconstruct tsunami events with high fidelity. A number of coordinated, ground-based surveys also collect valuable, time-sensitive quantitative information to improve understanding of structural response to tsunami loading following events. Recently, some of these surveys include high-resolution LIDAR measurements, which provide critical geospatial information to link field observations, topographic mapping, and structural performance to create and validate numerical models, enabling quantification and understanding of structural response and failure modes resulting from tsunami forces. The presented methodology is demonstrated through a case study of a building component which structurally survived the 2011 Tohoku tsunami.
publisherAmerican Society of Civil Engineers
titleTsunami Modeling, Fluid Load Simulation, and Validation Using Geospatial Field Data
typeJournal Paper
journal volume140
journal issue8
journal titleJournal of Structural Engineering
identifier doi10.1061/(ASCE)ST.1943-541X.0000940
treeJournal of Structural Engineering:;2014:;Volume ( 140 ):;issue: 008
contenttypeFulltext


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