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

29 Citations (Scopus)

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

Fingerprint

Earthquakes
earthquake event
catastrophic event
data management
Risk management
Middleware
seismic hazard
Disasters
Information management
Geographic information systems
disaster
Hazards
mitigation
engineering
earthquake
decision
risk reduction
risk management
geographic information system
plan

All Science Journal Classification (ASJC) codes

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

Cite this

Elnashai, A., Hampton, S., Lee, J. S., McLaren, T., Myers, J. D., Navarro, C., ... Tolbert, N. (2008). Architectural overview of MAEviz - Hazturk. Journal of Earthquake Engineering, 12(SUPPL. 2), 92-99. https://doi.org/10.1080/13632460802013610
Elnashai, Amr ; Hampton, Shawn ; Lee, Jong Sung ; McLaren, Terry ; Myers, James D. ; Navarro, Chris ; Spencer, Bill ; Tolbert, Nathan. / Architectural overview of MAEviz - Hazturk. In: Journal of Earthquake Engineering. 2008 ; Vol. 12, No. SUPPL. 2. pp. 92-99.
@article{85ea8f59d52b4777a506467e40315659,
title = "Architectural overview of MAEviz - Hazturk",
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.",
author = "Amr Elnashai and Shawn Hampton and Lee, {Jong Sung} and Terry McLaren and Myers, {James D.} and Chris Navarro and Bill Spencer and Nathan Tolbert",
year = "2008",
month = "7",
day = "24",
doi = "10.1080/13632460802013610",
language = "English (US)",
volume = "12",
pages = "92--99",
journal = "Journal of Earthquake Engineering",
issn = "1363-2469",
publisher = "Taylor and Francis Ltd.",
number = "SUPPL. 2",

}

Elnashai, A, Hampton, S, Lee, JS, McLaren, T, Myers, JD, Navarro, C, Spencer, B & Tolbert, N 2008, 'Architectural overview of MAEviz - Hazturk', Journal of Earthquake Engineering, vol. 12, no. SUPPL. 2, pp. 92-99. https://doi.org/10.1080/13632460802013610

Architectural overview of MAEviz - Hazturk. / Elnashai, Amr; Hampton, Shawn; Lee, Jong Sung; McLaren, Terry; Myers, James D.; Navarro, Chris; Spencer, Bill; Tolbert, Nathan.

In: Journal of Earthquake Engineering, Vol. 12, No. SUPPL. 2, 24.07.2008, p. 92-99.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Architectural overview of MAEviz - Hazturk

AU - Elnashai, Amr

AU - Hampton, Shawn

AU - Lee, Jong Sung

AU - McLaren, Terry

AU - Myers, James D.

AU - Navarro, Chris

AU - Spencer, Bill

AU - Tolbert, Nathan

PY - 2008/7/24

Y1 - 2008/7/24

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=47549087163&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=47549087163&partnerID=8YFLogxK

U2 - 10.1080/13632460802013610

DO - 10.1080/13632460802013610

M3 - Article

AN - SCOPUS:47549087163

VL - 12

SP - 92

EP - 99

JO - Journal of Earthquake Engineering

JF - Journal of Earthquake Engineering

SN - 1363-2469

IS - SUPPL. 2

ER -

Elnashai A, Hampton S, Lee JS, McLaren T, Myers JD, Navarro C et al. Architectural overview of MAEviz - Hazturk. Journal of Earthquake Engineering. 2008 Jul 24;12(SUPPL. 2):92-99. https://doi.org/10.1080/13632460802013610