Disaster Risk Management Through the DesignSafe Cyberinfrastructure
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ARTICLE
Disaster Risk Management Through the DesignSafe Cyberinfrastructure Jean-Paul Pinelli1 • Maria Esteva2 • Ellen M. Rathje3 • David Roueche4 • Scott J. Brandenberg5 • Gilberto Mosqueda6 • Jamie Padgett7 • Frederick Haan8
Accepted: 31 October 2020 / Published online: 26 November 2020 Ó The Author(s) 2020
Abstract DesignSafe addresses the challenges of supporting integrative data-driven research in natural hazards engineering. It 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 reconnaissance. DesignSafe 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
& Jean-Paul Pinelli [email protected] 1
Department of Mechanical and Civil Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA
2
Texas Advanced Computing Center, University of Texas at Austin, Austin, TX 78712, USA
3
Department of Civil Engineering, University of Texas at Austin, Austin, TX 78712, USA
4
Department of Civil Engineering, Auburn University, Auburn, AL 36849, USA
5
Department of Civil and Environmental Engineering, University of California in Los Angeles, Los Angeles, CA 90095, USA
6
Department of Structural Engineering, University of California in San Diego, La Jolla, CA 92093, USA
7
Department of Civil and Environmental Engineering, Rice University, Houston, TX 77005, USA
8
Engineering Department, Calvin College, Grand Rapids, MI 49546, USA
data and information sharing. The resultant services and tools shorten data cycles for resiliency evaluation, risk modeling validation, and forensic studies. This article illustrates salient features of the cyberinfrastructure. It summarizes its design principles, architecture, and functionalities. The focus is on case studies to show the impact of DesignSafe on the disaster risk community. The Next Generation Liquefaction project collects and standardizes case histories of earthquake-induced soil liquefaction into a relational database—DesignSafe—to permit users to interact with the data. Researchers can correlate in DesignSafe building dynamic characteristics based on data from building sensors, with observed damage based on ground motion measurements. Reconnaissance 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 disaster. As a part of the education and community outreach efforts of DesignSafe, training materials and collaboration space are also offered to the disaster risk management com
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