SeisFinder: A web application for extraction of data from computationally-intensive earthquake resilience calculations (2017)
Type of ContentConference Contributions - Other
- QuakeCORE: Posters 
SeisFinder is an open-source web service developed by QuakeCoRE and the University of Canterbury, focused on enabling the extraction of output data from computationally intensive earthquake resilience calculations. Currently, SeisFinder allows users to select historical or future events and retrieve ground motion simulation outputs for requested geographical locations. This data can be used as input for other resilience calculations, such as dynamic response history analysis. SeisFinder was developed using Django, a high-level python web framework, and uses a postgreSQL database. Because our large-scale computationally-intensive numerical ground motion simulations produce big data, the actual data is stored in file systems, while the metadata is stored in the database.
ANZSRC Fields of Research40 - Engineering::4005 - Civil engineering::400506 - Earthquake engineering
46 - Information and computing sciences::4602 - Artificial intelligence::460207 - Modelling and simulation
08 - Information and Computing Sciences::0802 - Computation Theory and Mathematics::080205 - Numerical Computation
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