Restoration and functionality assessment of a community subjected to tornado hazard

Masoomi, Hassan; Lindt, John W. van de

doi:10.1080/15732479.2017.1354030

Cited by 50 publications

(11 citation statements)

References 14 publications

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“…An interdependent network is more vulnerable to natural hazard events with large geographic footprints in that a failure of key components may lead to the malfunction of several dependent networks. Recent disaster events have revealed unpredictable failure modes of interdependent systems and have pointed to the need to understand and model interdependent large systems accurately (Adachi & Ellingwood, ; Masoomi, ; Masoomi & van de Lindt, , ; McAllister, ). Providing for basic needs of populations in disaster‐affected regions, particularly vulnerable population groups, is one of the most challenging aspects of community resilience assessment.…”

Section: Introductionmentioning

confidence: 99%

Understanding Community Resilience from a PRA Perspective Using Binary Decision Diagrams

2019

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Probabilistic risk assessment (PRA) is a useful tool to assess complex interconnected systems. This article leverages the capabilities of PRA tools developed for industrial and nuclear risk analysis in community resilience evaluations by modeling the food security of a community in terms of its built environment as an integrated system. To this end, we model the performance of Gilroy, CA, a moderate-size town, with regard to disruptions in its food supply caused by a severe earthquake. The food retailers of Gilroy, along with the electrical power network, water network elements, and bridges are considered as components of a system. Fault and event trees are constructed to model the requirements for continuous food supply to community residents and are analyzed efficiently using binary decision diagrams (BDDs). The study also identifies shortcomings in approximate classical system analysis methods in assessing community resilience. Importance factors are utilized to rank the importance of various factors to the overall risk of food insecurity. Finally, the study considers the impact of various sources of uncertainties in the hazard modeling and performance of infrastructure on food security measures. The methodology can be applicable for any existing critical infrastructure system and has potential extensions to other hazards.

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Section: Introductionmentioning

confidence: 99%

Understanding Community Resilience from a PRA Perspective Using Binary Decision Diagrams

2019

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“…Some of the first steps towards this performance-based wind engineering approach have been developed through a number of computational frameworks and case studies to low-rise residential construction (e.g. Lee and Rosowsky, 2005;Lindt John and Dao Thang, 2009;Li et al, 2012b; Unnikrishnan and Barbato, 2016;Masoomi et al, 2018;Masoomi et al, 2019). Such studies have examined the capacity of these structures to resist wind-induced damages ranging from breaches in the building envelope, intrusion of water from wind-driven rain, excessive deformations on the component and sub assembly level (e.g.…”

Section: Performance-based Wind Engineeringmentioning

confidence: 99%

“…Only a few studies in recent years have attempted to exploit this performancebased approach for nonstationary windstorms and nearly all are exclusive for tornadic wind loads (Amini and Lindt, 2014;Koliou et al, 2017;Roueche et al, 2017;Bezabeh et al, 2018;Masoomi et al, 2018;Maloney et al, 2018;Memari et al, 2018;Wang et al, 2018c;Braik Abdullah et al, 2019). Furthermore, many of these studies, particularly the numerical ones that are not supplemented with wind tunnel experimentation, use traditional methods that inherently assume straight-line winds (ASCE, 2017) for computational efficiency and simplicity.…”

Section: Pbwe For Nonstationary Windsmentioning

confidence: 99%

“…The datasets provided by the SPC also include several entries with a path width of 0 m. As a simplistic means to incorporate these "missing" entries, the path widths of 0 m are replaced with an average quantity (Masoomi and Lindt, 2018) for the particular EF scale that is reported. For each year between 1973 and 2017, inclusive, the distribution of the radial length scales are modeled using the inverse Weibull distribution, shown in Eq.…”

Section: Radial Length Scalementioning

confidence: 99%

“…(9.3) (Jenkinson, 1955;Bali, 2003), which has been chosen over the typically used Weibull distribution (e.g. Brooks, 2004;Masoomi and Lindt, 2018) to adequately capture the large occurrence of lower values. The fitted parameters (k R , σ R , µ R ) collected over the 45-year span are then averaged and used to develop a representative annual hazard curve h R for radial length scale.…”

Section: Radial Length Scalementioning

confidence: 99%

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Performance-based wind engineering framework for vertical structures subjected to nonstationary wind loads

Le¹

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Regarded as a rational analytical approach that enables more risk-informed decision making, performance-based engineering (PBE) has been widely endorsed by the wind engineering community for the design and analysis of vibrationsensitive structures such as tall buildings. Accomplished through modular stages that delineate a structure's capacity to satisfy performance objectives, the uncertainties, error propagation, and random properties of the structural system, the environmental hazard, and the estimation of losses incurred from damages can be systematically examined with great detail. This multi-faceted, holistic approach vi Robert W. Bordewieck Endowed Engineering Fund provided by the College of Engineering of Northeastern University are gratefully acknowledged. Any opinions, findings and conclusions or recommendations are those of the Author and do not necessarily reflect the views of the NSF, MathWorks Inc.

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Risk-Based Management of Electric Power Distribution Systems Subjected to Hurricane and Tornado Hazards

Salman

Braik³

et al. 2021

Springer Tracts in Civil Engineering

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Extreme events, especially weather-related events, are the leading cause of power outages in many countries around the world. Hurricanes and tornadoes are especially destructive and have caused billions of dollars in direct losses due to damage to power systems and indirect losses due to power outages. There is, therefore, a need to implement risk management strategies to reduce such losses and ensure that power systems are reliable and resilient. This chapter presents a framework for risk management of electric power distribution systems subjected to hurricane and tornado hazards. Methods for hazard analysis and component-and system-level risk analysis are discussed. Two case studies are presented to demonstrate the application of the framework. Various risk mitigation strategies such as the use of alternative pole material, targeted hardening of systems, regular preventive maintenance, and enhancement of design are considered in the case studies. Risk and cost-benefit analysis methods are presented to evaluate the effectiveness of the various mitigation strategies. A methodology for optimizing the preventive and corrective maintenance of distribution poles to reduce risk and minimize cost is also presented.

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Restoration and functionality assessment of a community subjected to tornado hazard

Cited by 50 publications

References 14 publications

Understanding Community Resilience from a PRA Perspective Using Binary Decision Diagrams

Understanding Community Resilience from a PRA Perspective Using Binary Decision Diagrams

Performance-based wind engineering framework for vertical structures subjected to nonstationary wind loads

Risk-Based Management of Electric Power Distribution Systems Subjected to Hurricane and Tornado Hazards

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