Disaster Risk Management Through the DesignSafe Cyberinfrastructure

Jean-Paul Pinelli; Maria Esteva; Ellen M. Rathje; David Roueche; Scott J. Brandenberg; Gilberto Mosqueda; Jamie Padgett; Frederick Haan

doi:10.1007/s13753-020-00320-8

Volume 11 Issue 6

Dec. 2021

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Article Navigation > International Journal of Disaster Risk Science > 2020 > 11(6): 719-734

Jean-Paul Pinelli, Maria Esteva, Ellen M. Rathje, David Roueche, Scott J. Brandenberg, Gilberto Mosqueda, Jamie Padgett, Frederick Haan. Disaster Risk Management Through the DesignSafe Cyberinfrastructure[J]. International Journal of Disaster Risk Science, 2020, 11(6): 719-734. doi: 10.1007/s13753-020-00320-8

Citation:

Jean-Paul Pinelli, Maria Esteva, Ellen M. Rathje, David Roueche, Scott J. Brandenberg, Gilberto Mosqueda, Jamie Padgett, Frederick Haan. Disaster Risk Management Through the DesignSafe Cyberinfrastructure[J]. International Journal of Disaster Risk Science, 2020, 11(6): 719-734. doi: 10.1007/s13753-020-00320-8

Citation:

Jean-Paul Pinelli, Maria Esteva, Ellen M. Rathje, David Roueche, Scott J. Brandenberg, Gilberto Mosqueda, Jamie Padgett, Frederick Haan. Disaster Risk Management Through the DesignSafe Cyberinfrastructure[J]. International Journal of Disaster Risk Science, 2020, 11(6): 719-734. doi: 10.1007/s13753-020-00320-8

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Disaster Risk Management Through the DesignSafe Cyberinfrastructure

doi: 10.1007/s13753-020-00320-8

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

Funds:

The National Science Foundation (NSF) financially supports the DesignSafe project under grant CMMI-1520817. The development of DesignSafe also leverages NSF grant ACI- 1134872 for high performance computing, and grants ACI-1127210 and ACI-1450459 for the development of the Agave API. This support is gratefully acknowledged.

Available Online: 2021-12-25
Publish Date: 2021-12-25

Abstract

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 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 community.
- Cyberinfrastructure,
- DesignSafe,
- Disaster risk management,
- Natural hazard data management

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References(40)

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