Architectural Overview of MAEviz – HAZTURK

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

Journal of Earthquake Engineering · 2008 · 43 citations · 0 references

Concepts

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.