ASCE Hurricane Haiyan Disaster Investigation in the Philippines

Chen, Shen En; English, Jack; Kennedy, Andrew; Leeman, Mark E.; Masters, Forrest J.; Pinelli, Jean‐Paul; Pang, Weichiang; Rullan-Rodriguez, Jose A.; Calvo, Joseph; Briones, Ferdie A.

doi:10.1061/(asce)cf.1943-5509.0000707

Cited by 6 publications

(1 citation statement)

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“…To model the response of the structures to the hazard, they need to assess the capacities of the different components of the structures in the building and infrastructure inventory, through experiments, simulations, or a combination of both. After a disaster, in reconnaissance surveys, engineers and scientists survey the area and collect extensive data (Chen et al 2014(Chen et al , 2016Pinelli et al 2018). Finally, social scientists need to understand a community's response to a possible hazard, including how culture, demography, wealth, and a variety of different human factors can affect the preparedness and resilience of a community (Welton-Mitchell 2018).…”

Section: Introductionmentioning

confidence: 99%

Disaster Risk Management Through the DesignSafe Cyberinfrastructure

Pinelli

Esteva²,

Rathje

et al. 2020

Int J Disaster Risk Sci

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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.

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