Multihazard Interaction Effects on the Performance of Low-Rise Wood-Frame Housing in Hurricane-Prone Regions

Unnikrishnan, Vipin U.; Barbato, Michele

doi:10.1061/(asce)st.1943-541x.0001797

Cited by 22 publications

(12 citation statements)

References 36 publications

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“…The statistical model for max R was developed using the same approach and the same data sources used . Based on the results of a two-sided Kolmogorov-Smirnov test (Soong 2004), the truncated normal distribution with lower tail truncation max 0 R  provides the best fit to the collected data and is adopted here, consistently with other research works available in the literature (Bjarnadottir et al 2011;Unnikrishnan and Barbato 2017). A weak but not negligible inverse correlation between for max V and max R was also found, with a correlation coefficient max max 0.301…”

Section: Radius To Maximum Wind Speed Modelmentioning

confidence: 52%

“…This research proposes a predictive simulation approach to quantify the non-stationary effects of climate change on hurricane wind speeds along the US Gulf and Atlantic Coast. This simulation procedure innovatively uses a simple and efficient indirect statistics approach (Unnikrishnan and Barbato 2017), in which the statistics of the different IMs are indirectly obtained from site-specific statistics of fundamental hurricane parameters. The major contribution of this method is the lower computational cost when compared to full track approaches existing in the literature (Cui and Caracoglia 2016;Lee and Ellingwood 2017;Mudd et al 2014;Cha 2018, 2019), which can allow researchers and practicing engineers to consider a significantly higher number of scenarios at only a fraction of the computational cost of a single scenario for a full track approach.…”

Section: Research Significancementioning

confidence: 99%

“…A simulation approach based on a multi-layered Monte Carlo simulation (Barbato et al 2013;Unnikrishnan and Barbato 2017) is proposed here to develop the hurricane wind speed distributions at different locations as functions of climatological conditions described by changes in the SST. A flowchart of the simulation algorithm is provided in Fig.…”

Section: Development Of Hurricane Wind Speed Distributions For the Us Gulf And Atlantic Coast As Function Of Climatological Conditionsmentioning

confidence: 99%

“…Climate change affects all hazards associated with hurricane events, i.e., wind, windborne debris, storm surge, and rain hazards (Barbato et al 2013;Unnikrishnan and Barbato 2017). This paper focuses only on hurricane wind hazard.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Predictive Model for Hurricane Wind Hazard under Changing Climate Conditions

Esmaeili

Barbato

2021

Nat. Hazards Rev.

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Hurricanes are among the most destructive and costliest extreme weather events. The intensity of future hurricanes is generally expected to increase due to climate change effects. In this work, a simulation method based on a comprehensive statistical analysis of historical data is developed to account for the changes in climatological conditions and their effects on the frequency and intensity of hurricanes. This method is applied to simulate the hurricane wind speed distributions under different climatological conditions in the US Atlantic Basin from Texas to Maine, which is one of the most vulnerable regions of the world to hurricane hazards. To this end, regression models for several different hurricane parameters are fit to the historical hurricane data. The proposed model is validated by comparing its predicted hurricane-induced wind speeds with available historical data and other existing models based on physics-based hurricane path simulation. This new model is found to reproduce very well historical wind speed distributions, and to provide wind speed projection results that are consistent with those of more computationally expensive models based on the simulation of hurricane tracks. The statistical characteristics of future potential hurricanes are simulated using the proposed model along with the climate projections presented in the 5 th Assessment Report of the Intergovernmental Panel for Climate Change. The results of this study indicate that, by year 2060 and depending on the considered projection scenario, the design wind speeds along the US Gulf and Atlantic Coast corresponding to the different mean return intervals considered by ASCE 7 are expected to increase in average between 14% and 26%, which correspond to an average increase of the design wind-induced loads contained between 30% and 59%.

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Section: Radius To Maximum Wind Speed Modelmentioning

confidence: 52%

Section: Research Significancementioning

confidence: 99%

Section: Development Of Hurricane Wind Speed Distributions For the Us Gulf And Atlantic Coast As Function Of Climatological Conditionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Predictive Model for Hurricane Wind Hazard under Changing Climate Conditions

Esmaeili

Barbato

2021

Nat. Hazards Rev.

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“…Hurricane risk assessment strategies for building structures are focused on both storm surge and wind induced risk (Unnikrishnan and Barbato,2016a;Unnikrishnan and Barbato, 2017;Baradaranshoraka et al, 2017), but it is challenging to isolate the most effective mitigation approach under various scenarios of new and retrofit modeled structures. In recent years, several studies analyzed the cost effectiveness of various mitigation approaches for various structure models.…”

Section: Introductionmentioning

confidence: 99%

Generalized Cost-Effectiveness of Residential Wind Mitigation Strategies for Wood-Frame, Single Family House in the USA

Orooji

Friedland

Savio

et al. 2022

Front. Built Environ.

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Wind is one of the deadliest and most expensive hazards in the United States. Wind hazards cause significant damage to buildings and economic losses to homeowners. Economic losses average approximately $3.8 billion annually from hurricane winds and are not decreasing, even despite enhanced construction practices to reduce wind damage. Thus, the effectiveness of mitigation strategies should be evaluated in order to lower the cost incurred by this hazard. Several studies have suggested building code improvements to mitigate the wind hazard, this additional comprehensive research provides selecting economically beneficial mitigation strategies to consider in building code revisions. In a step toward addressing this need, the current study was conducted to determine the cost effectiveness of mitigation strategies for new and retrofit construction of a wood-framed, single-family, residential building case study. Net benefit, defined as the difference between the life-cycle wind loss before and after implementation of the mitigation strategy, was calculated for 15 wind mitigation strategies and their combinations, with new and retrofit construction costs ranging between $1,200 to $12,000 and a decision-making time horizon ranging between 5 and 30 years. Payback periods, defined as the number of years to recover the investment, were calculated for each mitigation strategy. Results were summarized by cost effectiveness for all ASCE 7 wind speed contour intervals. The results of this study serve as a starting point for further refinement of the economic justification needed to properly evaluate potential building code changes.

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Multi‐hazard typhoon and earthquake collapse fragility models for transmission towers: An active learning reliability approach using gradient boosting classifiers

Jeddi

Shafieezadeh

Hur

et al. 2022

Earthq Engng Struct Dyn

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Natural hazards such as earthquakes and typhoons pose a considerable threat to the power transmission grid. In regions prone to both hazards, the overhead transmission infrastructure may experience multi-hazard effects where two consecutive hazards can occur within an interval shorter than the time that would be needed to repair the system for damages occurred in the first event. This consequently increases the susceptibility to damage during the subsequent hazard.

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Multihazard Interaction Effects on the Performance of Low-Rise Wood-Frame Housing in Hurricane-Prone Regions

Cited by 22 publications

References 36 publications

Predictive Model for Hurricane Wind Hazard under Changing Climate Conditions

Predictive Model for Hurricane Wind Hazard under Changing Climate Conditions

Generalized Cost-Effectiveness of Residential Wind Mitigation Strategies for Wood-Frame, Single Family House in the USA

Multi‐hazard typhoon and earthquake collapse fragility models for transmission towers: An active learning reliability approach using gradient boosting classifiers

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