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Disaster Risk Management Through the Design Safe Cyberinfrastructure

International Journal of Disaster Risk Science 2020年第6期11卷 719-734页

作者： Jean-Paul Pinelli Maria Esteva Ellen M.Rathje David Roueche Scott J.Brandenberg Gilberto Mosqueda jamie padgett Frederick Haan Department of Mechanical and Civil Engineering Florida Institute of TechnologyMelbourneFL 32901USA Texas Advanced Computing Center University of Texas at AustinAustinTX 78712USA Department of Civil Engineering University of Texas at AustinAustinTX 78712USA Department of Civil Engineering Auburn UniversityAuburnAL 36849USA Department of Civil and Environmental Engineering University of California in Los AngelesLos AngelesCA 90095USA Department of Structural Engineering University of California in San DiegoLa JollaCA 92093USA Department of Civil and Environmental Engineering Rice UniversityHoustonTX 77005USA Engineering Department Calvin CollegeGrand RapidsMI 49546USA

Design Safe addresses the challenges of supporting integrative data-driven research in natural hazards *** is an end-to-end data management,communications,and analysis platform where users collect,generate,analyze,curate,and publish large data sets from a variety of sources,including experiments,simulations,field research,and post-disaster *** achieves key objectives through:(1)integration with high performance and cloud-computing resources to support the computational needs of the regional risk assessment community;(2)the possibility to curate and publish diverse data structures emphasizing relationships and understandability;and(3)facilitation of real time communications during natural hazards events and disasters for data and information *** resultant services and tools shorten data cycles for resiliency evaluation,risk modeling validation,and forensic *** article illustrates salient features of the *** summarizes its design principles,architecture,and *** focus is on case studies to show the impact of Design Safe on the disaster risk *** Next Generation Liquefaction project collects and standardizes case histories of earthquake-induced soil liquefaction into a relational database—Design Safe—to permit users to interact with the *** can correlate in Design Safe building dynamic characteristics based on data from building sensors,with observed damage based on ground motion *** groups upload,curate,and publish wind,seismic,and coastal damage data they gather during field reconnaissance missions,so these datasets are available shortly after a *** a part of the education and community outreach efforts of Design Safe,training materials and collaboration space are also offered to the disaster risk management community.

关键词： Cyberinfrastructure Design Safe Disaster risk management Natural hazard data management

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