Exhibits, Demos & Posters
MAEviz: Bridging the Time-from-Discovery Gap between Seismic Research and Decision Making
Authors
- Shawn D. Hampton, National Center for Supercomputing Applications, University of Illinois
- Jong Sung Lee, National Center for Supercomputing Applications, University of Illinois
- Nathan L. Tolbert, National Center for Supercomputing Applications, University of Illinois
- Terrence M. McLaren, National Center for Supercomputing Applications, University of Illinois
- Christopher M. Navarro, National Center for Supercomputing Applications, University of Illinois
- James D. Myers, National Center for Supercomputing Applications, University of Illinois
- B. F. Spencer Jr., Department of Civil and Environmental Engineering, University of Illinois
- Amr S. Elnashai, Department of Civil and Environmental Engineering, University of Illinois
Abstract
MAEviz is an open-source project that helps reduce the time-fro- discovery gap that exists between researchers, practitioners, and decision makers by integrating the latest research findings, most accurate data, and new methodologies into a single software product. It was developed as a platform to perform seismic risk assessment based on the Mid-America Earthquake (MAE) Center research in the Consequence-based Risk Management (CRM) framework. MAEviz is built upon an open-source, extensible software platform developed at NCSA using the Eclipse Rich Client Platform (RCP).
The example shown in the poster is Network-Based Seismic Retrofit (NBSR) analysis. The analysis solves a typical problem faced by decision makers that, given a fixed budget, which combination of bridges and retrofit methods would minimize the societal cost of an earthquake. It clearly shows how new science can be put quickly into the hands of the decision makers, thus bridging the gap between research and practical application.
MAEviz is shown to be a powerful tool that can currently be used to assist decision makers in preparing for and mitigating the consequences of seismic hazards. Moreover, the extensible architecture of MAEviz allows it to be easily adapted to integrate newly discovered science and data, both in the area of seismic risk assessment, as well as other future research area.
