Architectural overview of MAEviz - Hazturk

Amr Elnashai, Shawn Hampton, Jong Sung Lee, Terry McLaren, James D. Myers, Chris Navarro, Bill Spencer, Nathan Tolbert

Research output: Contribution to journalArticle

32 Scopus citations

Abstract

MAEviz is a broadly extensible, open source platform for earthquake hazard risk management. MAEviz is a model cyberenvironment that provides practical capabilities for researchers through decision-makers to model earthquake events, develop risk reduction strategies, and implement mitigation plans to minimize the impact of earthquake disasters while also providing a pathway for researchers to quickly add new algorithms and data to assure that decisions are based on state-of-the-art engineering understanding. While MAEviz is capable of interacting with remote data and computational sources, it is also fully capable of running analyses locally so research scientists and decision-makers can generate information when a catastrophic event occurs and provide first-responders result information. This article describes MAEviz's overall layered architecture, its foundation in the widely used Eclipse Rich Client Platform (RCP), and use of open-source middleware and geographic information system (GIS) components. MAEviz's data management capabilities and workflow-oriented execution model are also discussed with an emphasis on detailing MAEviz's capability to incorporate new data types and new analysis modules.

Original languageEnglish (US)
Pages (from-to)92-99
Number of pages8
JournalJournal of Earthquake Engineering
Volume12
Issue numberSUPPL. 2
DOIs
StatePublished - Jul 24 2008

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Geotechnical Engineering and Engineering Geology

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  • Cite this

    Elnashai, A., Hampton, S., Lee, J. S., McLaren, T., Myers, J. D., Navarro, C., Spencer, B., & Tolbert, N. (2008). Architectural overview of MAEviz - Hazturk. Journal of Earthquake Engineering, 12(SUPPL. 2), 92-99. https://doi.org/10.1080/13632460802013610