Risk Analysis for Structures Exposed to Several Multi-Hazard Sources

Jaimes, Miguel Á.; Reinoso, Eduardo; Esteva, Luis

doi:10.1080/13632469.2014.962673

Cited by 27 publications

(12 citation statements)

References 27 publications

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“…The simultaneous correlation of two large tropical cyclone events is also considered very low. This seems not only reasonable for large, infrequent events that have a very low probability of occurrence but also reasonable for frequent events with short duration …”

Section: Methodsmentioning

confidence: 99%

“…This seems not only reasonable for large, infrequent events that have a very low probability of occurrence but also reasonable for frequent events with short duration. 25 Besides probabilistic features, the wind hazard intensity must be quantified in terms of a relevant damage-related measure. A 3-second gust wind speed has been used before for tiny structures subjected to gustiness effects 26 ; maximum sustained (10-min mean) wind speed for turbine towers (eg, Rose et al 12 ) or 3-second gust wind speed at the hub height for turbine tower (eg, Hong and Möller 13 ) has been employed as well.…”

Section: Step 1: Probabilistic Characterization Of Wind Hazard Evenmentioning

confidence: 99%

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Probabilistic risk assessment on wind turbine towers subjected to cyclone‐induced wind loads

et al. 2019

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A probabilistic risk assessment to estimate the economic impact on wind turbine towers subjected to cyclone-induced wind loads is applied. An event-based probabilistic framework is used to assess the risk parameters for selected hazard events. The results are integrated considering all uncertainties related to each part of the process in a probabilistic formal way. The hazard is defined by a set of nonoverlapping stochastic events that exhaust the considered sample space, including the spatial distribution, the annual frequency, and the randomness of the hazard intensity. The vulnerability is defined in terms of the first and second statistical moments: the expected damage and its corresponding variance (or standard deviation) for a certain type of wind turbine towers. The vulnerability component of the model is an important contribution of the study; it uses a realistic modeling of the wind field, and instead of one (as in other studies), three failure modes are considered to characterize the vulnerability. The risk is expressed in economic terms, namely, the single-event expected loss, the average annual loss, the pure premium, and the loss exceedance curve. The approach is applied to a probabilistic tropical cyclone wind risk assessment on 3001 wind turbine towers from 65 wind farms in Mexico. It is concluded that the selected metrics are of especial importance for risk retention (financing), particularly if schemes or risk transfer instruments are to be defined, and therefore, they will be a very valuable contribution to further studies in defining strategies for financial protection of national infrastructure against wind disasters induced by cyclones.

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Section: Methodsmentioning

confidence: 99%

Section: Step 1: Probabilistic Characterization Of Wind Hazard Evenmentioning

confidence: 99%

Probabilistic risk assessment on wind turbine towers subjected to cyclone‐induced wind loads

et al. 2019

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“…From the above considerations, epicentre distances of 5, 10, and 15 km have been considered in order to maximize the expected impact. The attenuation relationship of seismic effects proposed by Esteva [32], as reported in Equation 6 (6) where Mw is the moment magnitude and D is the epicentre distance expressed in kilometres. The correlation obtained between moment magnitude, Mw, and macroseismic intensity, IEMS-98, for different epicentre distances are summarized in Table 2.…”

Section: Piana Campana Mw=5mentioning

confidence: 99%

The Influence of Geo-Hazard Effects on the Physical Vulnerability Assessment of the Built Heritage: An Application in a District of Naples

Chieffo

Formisano

2019

Buildings

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The proposed study aims at analysing a sub-urban sector in the historic centre of Qualiano, located in the province of Naples (Italy), in order to assess the seismic vulnerability of the main typology classes (masonry and reinforced concrete) in the study area and the consequent expected damage scenarios. The typological and structural characterisation of the investigated area is done through the CARTIS form developed by the PLINIVS research centre together with the Italian Civil Protection Department. Subsequently, the vulnerability simulation analysis is carried out by means of a quick methodology integrated into a GIS tool in order to identify the structural units (S.U.) most susceptible at damage under seismic events. Furthermore, in order to take into account the possible damage scenarios, a parametric analysis is performed using a seismic attenuation law in order to obtain the maximization of the expected urban losses. Finally, the site and topographical local conditions, which negatively influence the severity of the seismic damage on the structures, have been taken into account in order to more correctly foresee the expected damage of the inspected sub-urban sector to be used for appropriate seismic risk mitigation plans.

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“…Despite a growing body of literature focusing on exposure to hazards at different scales in China, few analyses have been conducted to estimate exposure to multiple hazards at the national scale. Many regions in China are subject to multiple hazards that potentially lead to greater damages and losses than a single type of hazard (Komendantova et al 2014;Jaimes et al 2015). For these regions, the investigation and analysis of exposure to multiple hazards is essential for achieving an effective reduction of hazard risks (Kappes et al 2012;Ming et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Changes of Population, Built-up Land, and Cropland Exposure to Natural Hazards in China from 1995 to 2015

Chen

Xie

2019

Int J Disaster Risk Sci

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By using the latest China population grid and land-use data, we assess the changing exposure of China's population and land uses to the hazards of storm surges, droughts, earthquakes, floods, and landslides from 1995 to 2015. We found that the single-hazard areas and the multihazard areas covered 43% and 26% of China's territory, respectively. Population grew faster in the hazard-prone areas than in the non-hazard areas. Built-up area expanded more rapidly in the areas prone to earthquakes and landslides. Cropland changed rapidly in many hazard-prone areas. The hazard-prone areas affected by floods featured the highest cropland loss rates, while the areas prone to earthquakes and landslides featured the highest cropland growth rates. We detected areas with significant exposure changes by using hot spot analysis. It was found that population and built-up land in the Pearl River Basin were increasingly exposed to storm surges, floods, and landslides. The Haihe River Basin and Huaihe River Basin also showed a consistent increase of population and built-up land exposure to droughts and earthquakes. These findings can provide a foundation for the design and implementation of protection and adaptation strategies to improve the resilience of Chinese society to natural hazards. Keywords China Á Exposure to natural hazards Á Population change Á Built-up land Á Cropland & Xiaocong Xu

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Risk Analysis for Structures Exposed to Several Multi-Hazard Sources

Cited by 27 publications

References 27 publications

Probabilistic risk assessment on wind turbine towers subjected to cyclone‐induced wind loads

Probabilistic risk assessment on wind turbine towers subjected to cyclone‐induced wind loads

The Influence of Geo-Hazard Effects on the Physical Vulnerability Assessment of the Built Heritage: An Application in a District of Naples

Changes of Population, Built-up Land, and Cropland Exposure to Natural Hazards in China from 1995 to 2015

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