CyberEye: Development of integrated cyber-infrastructure to support rapid hurricane risk assessment

Kijewski-Correa, Tracy; Smith, Nathan Grant; Taflanidis, Alexandros A.; Kennedy, Andrew; Liu, Cheng; Krusche, Markus; Vardeman, Charles

doi:10.1016/j.jweia.2014.06.003

Cited by 14 publications

(8 citation statements)

References 18 publications

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“…It is worth noting that this Damage database is one of the first e-module developed for the VORTEX-Winds in 2009, thus rather old technology in view of current rapid developments in web-based technologies. For this reason, we are in the process of eventually retiring this module and transfer the existing data to newly developed "Data Intake and Discovery" module in CyberEye (Kijewski-Correa et al, 2014) in which authors are also involved. It is envisioned that this new module will be further enriched with the contribution of members over time.…”

Section: Damage Databasementioning

confidence: 99%

A Cyber-Based Data-Enabled Virtual Organization for Wind Load Effects on Civil Infrastructures: VORTEX-Winds

Kareem

Kwon

2017

Front. Built Environ.

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Despite many advances in the area of wind effects on structures in recent decades, research has been traditionally conducted within limited resources scattered geographically. With the trend toward increasingly complex designs of civil infrastructure combined with the escalating potential for losses by extreme wind events, a new culture of research needs to be established based on innovative and collaborative solutions for better management of the impact of extreme wind events. To address this change, this paper presents a new paradigm of a multiscale cyber-based laboratory framework for the analysis/ design, modeling, and simulation of wind load effects based on an ongoing collaborative cyberinfrastructure-based platform, Virtual Organization for Reducing the Toll of EXtreme Winds (VORTEX-Winds, https://vortex-winds.org), and discusses its current status since its inception in 2007 and ongoing developments. This collaborative framework as it evolves would enable a paradigm shift by offering advanced cyber-enabled modules (e-modules) for accelerating advances in research and education to achieve improved understanding and better modeling of wind effects on structures. Accordingly, it will enhance wind community's analysis and design capabilities to address next-gener ation challenges posed by wind. Through empowering those without computational or experimental resources, the e-modules will encompass a large set of subject areas and topics categorized as Database-enabled design, Full-scale/Field site data repository, Statistical/Stochastic toolboxes, Tele-experimentation, Uncertainty modeling, Damage assessment, and Computational platforms. This prototype will allow access to the individual e-module, while it is envisaged that next level of development in VORTEX-Winds will have the capability for an automated and integrated analysis/design through a nexus of e-modules. A highlight of the e-modules currently completed or in development is presented not only to show the efficacy of the framework to enhance and supplement the limitation of traditional off-line approaches but also to describe architecture and features of e-modules to promote additional cyber-enabled data-driven developments in the field.

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Section: Damage Databasementioning

confidence: 99%

A Cyber-Based Data-Enabled Virtual Organization for Wind Load Effects on Civil Infrastructures: VORTEX-Winds

Kareem

Kwon

2017

Front. Built Environ.

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“…The latter are particularly important for supporting the development of cyber-enabled platforms (Kijewski-Correa et al 2014) that can be deployed in real time, allowing emergency response managers to simultaneously perform different types of analyses.…”

Section: Dimension Reduction Through Principal Component Analysismentioning

confidence: 99%

“…Considering additionally the inverse of transformation in Eq. (4.15) to transform these predictions back to the original space, we have (Jia and Taflanidis 2013) that the kriging-based predictor for z follows a Gaussian distribution with mean (Taflanidis et al 2013a;Kijewski-Correa et al 2014;Jia and Taflanidis 2013) and recently for New Orleans . Results from the former are discussed briefly here.…”

Section: Dimension Reduction Through Principal Component Analysismentioning

confidence: 99%

“…These error statistics show that the kriging metamodel provides high-accuracy approximations to the hurricane response (small errors). This computational efficiency of the established metamodel can then be utilized to support the development of stand-alone tools (Taflanidis et al 2013a) or, perhaps more importantly, cyber-enabled portals supporting wide online dissemination and collaborative environments (Kijewski-Correa et al 2014). As indicated previously, these tools can be used to estimate the regional long-term risk or provide real-time predictions during landfalling events.…”

Section: Dimension Reduction Through Principal Component Analysismentioning

confidence: 99%

“…Similar efficiency has been reported for implementation to New Orleans region ). This efficiency has been exploited to develop cyber portals that offer enhanced visualization capabilities as well as a versatile online collaborative environment (Kijewski-Correa et al 2014). …”

Section: Dimension Reduction Through Principal Component Analysismentioning

confidence: 99%

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Natural Hazard Probabilistic Risk Assessment Through Surrogate Modeling

Taflanidis

Jia

Gidaris

2016

Multi-Hazard Approaches to Civil Infrastructure Engineering

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Assessment of risk under natural hazards is associated with a significant computational burden when comprehensive numerical models and simulation-based methodologies are involved. Despite recent advances in computer and computational science that have contributed in reducing this burden and have undoubtedly increased the popularity of simulation-based frameworks for quantifying/estimating risk in such settings, in many instances, such as for real-time risk estimation, this burden is still considered as prohibitive. This chapter discusses the use of kriging surrogate modeling for addressing this challenge. Kriging establishes a computationally inexpensive input/output relationship based on a database of observations obtained through the initial (expensive) simulation model. The upfront cost for obtaining this database is of course high, but once the surrogate model is established, all future evaluations require small computational effort. For illustration, two different applications are considered, involving two different hazards: seismic risk assessment utilizing stochastic ground motion modeling and real-time hurricane risk estimation. Various implementation issues are discussed, such as (a) advantages of kriging over other surrogate models, (b) approaches for obtaining high efficiency when the output under consideration is high dimensional through integration of principal component analysis, and (c) the incorporation of the prediction error associated with the metamodel into the risk assessment.

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Flexible Architectures for Full-Scale Performance Evaluation of Tall Buildings: Burj Khalifa and Beyond

Kijewski-Correa

Bartolini

2017

Lecture Notes in Civil Engineering

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CyberEye: Development of integrated cyber-infrastructure to support rapid hurricane risk assessment

Cited by 14 publications

References 18 publications

A Cyber-Based Data-Enabled Virtual Organization for Wind Load Effects on Civil Infrastructures: VORTEX-Winds

A Cyber-Based Data-Enabled Virtual Organization for Wind Load Effects on Civil Infrastructures: VORTEX-Winds

Natural Hazard Probabilistic Risk Assessment Through Surrogate Modeling

Flexible Architectures for Full-Scale Performance Evaluation of Tall Buildings: Burj Khalifa and Beyond

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