Development of structural debris flow fragility curves (debris flow buildings resistance) using momentum flux rate as a hazard parameter

Prieto, Jorge A.; Journeay, Murray; Acevedo, Ana Beatriz; Arbeláez, Juan Felipe; Ulmi, M

doi:10.1016/j.enggeo.2018.03.014

Cited by 40 publications

(26 citation statements)

References 29 publications

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“…The production of robust landslide vulnerability curves is data intensive, requiring extensive data sets of damage‐intensity pairs for individual elements at risk (e.g., per building), making vulnerability curves rare and typically tied to a specific event and region (Papathoma‐Kohle et al, 2015; Totschnig & Fuchs, 2013). Many proxies for process intensity have been used in vulnerability curves for physical infrastructure, such as landslide area (Galli & Guzzetti, 2007), momentum flux (Prieto et al, 2018), impact pressure (Zhang et al, 2018), velocity (Kang & Kim, 2016), volume (Winter et al, 2013), and inundation depth (Quan Luna et al, 2011; Totschnig & Fuchs, 2013). We adopted inundation depth, as it is one of the most easily reconstructable landslide characteristics ex‐post‐facto and is relevant to a primary cause of death in landslides (suffocation due to burial).…”

Section: Methodsmentioning

confidence: 99%

Human Vulnerability to Landslides

Pollock

Wartman

2020

GeoHealth

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Landslides pose a devastating threat to human health, killing thousands of people annually. Human vulnerability is a crucial element of landslide risk reduction, yet up until now, all methods for estimating the human consequences of landslides rely on subjective, expert judgment. Furthermore, these methods do not explore the underlying causes of mortality or inform strategies to reduce landslide risk. In light of these issues, we develop a data-driven tool to estimate an individual's probability of death based on landslide intensity, which can be used directly in landslide risk assessment. We find that between inundation depths of approximately 1-6 m, human behavior is the primary driver of mortality. Landslide vulnerability is strongly correlated with the economic development of a region, but landslide losses are not stratified by gender and age to the degree of other natural hazards. We observe that relatively simple actions, such as moving to an upper floor or a prepared refuge space, increase the odds of survival by up to a factor of 12. Additionally, community-scale hazard awareness programs and training for citizen first responders offer a potent means to maximize survival rates in landslides. 2.2. Vulnerability Vulnerability is the potential to suffer harm from a human perspective. The natural sciences focus on physical vulnerability, which quantitatively describes the degree or probability of tangible damage, injuries, or deaths on a scale from zero (none) to one (complete). Physical vulnerability is a fundamental component of risk analysis (Fell et al., 2005). A recent emphasis on vulnerability-rather than hazard-as the primary driver

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Section: Methodsmentioning

confidence: 99%

Human Vulnerability to Landslides

Pollock

Wartman

2020

GeoHealth

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“…Each value that takes the limit state function is obtained for a certain hazard intensity measure, depending on the characteristics and severity of the natural phenomenon and its effects on the infrastructure (Pitilakis et al 2014). Most common intensity measures observed in literature for debris flows are the momentum flux (height by squared velocity) (Jakob et al 2012;Prieto et al 2018;Liang and Xiong 2019), debris flow volume (Winter et al 2014), and flow height (Quan Luna et al 2011;Totschnig et al 2011;Dag a et al 2018). The three demanding stresses defined in Table 1 are dependent of flow height, whereas, flow characteristics can be parametrized in terms of this variable.…”

Section: Limit State Functionmentioning

confidence: 99%

“…This phenomena are considered the third most lethal and destructive natural hazard, after earthquakes and floods (Thouret et al 2020). Prieto et al (2018) emphasize that these phenomena represent a significant part of the global economic losses generated by hydrological hazards, often affecting human settlements and infrastructure located at valley bottoms. The consequences of debris flows include loss of human lifes, destruction of homes and facilities, damage to railway lines, destruction and interruption of roads, among other indirect consequences such as loss of productivity and social impact (Jakob and Hungr 2005;Tacnet et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Development of fragility curves for road embankments exposed to perpendicular debris flows

Nieto

Chamorro

Echaveguren

et al. 2021

Geomatics, Natural Hazards and Risk

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Debris flows cause recurrent interruptions and permanent damages in rural road networks, representing significant economic losses. Embankments are road assets frequently exposed to debris flows, especially in mountainous areas. The potential risk of infrastructure exposed to debris flows can be assessed in terms of the probability of expected damage based on fragility curves. The aim of the study is to develop fragility curves for road embankments exposed to debris flows representative to the expected physical damage and capacity loss. Two conceptual models are proposed to describe the impact and erosion of debris flows that run perpendicularly to road embankments. Probabilistic models are then developed in terms of limit state functions and the simulation of potential scenarios. The resulting models are finally fit to log-normal distributions and compared to historical data. Headcut erosion has higher probabilities of occurrence compared to sliding failure caused by the impact of debris flow. Lower road embankments present higher probabilities of failure to the impact of debris flows, especially for dense flows. Whereas, longer interaction times of less dense flows increase the probability of headcut erosion. Two-lane roads may present 50% more probabilities of headcut erosion compared to multilane roads for similar debris flows intensity.

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“…It is obvious that the fragility curve carries more physical meaning than the vulnerability curve. However, limited literature on the fragility of buildings to debris flows can be found (e.g., Haugen and Kaynia 2008;Parisi and Sabella 2017;and Prieto et al 2018). In the existing studies, the uncertainty in landslide intensity is often not studied.…”

Section: Introductionmentioning

confidence: 99%

Reliability-based formulation of building vulnerability to debris flow impacts

Luo

Zhang

et al. 2022

Can. Geotech. J.

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Physical building vulnerability to debris flows is defined as the potential damage degree of buildings for a given debris-flow intensity. In this paper, the physical characteristics on both debris flow intensity and building response are considered. Uncertainties in building capacity and debris flow intensity are explicitly quantified to evaluate the damage probability of a typical reinforced concrete building subject to debris flow impact. Four damage states with clear failure mechanisms are defined using multi-source information from field observations, numerical simulation and expert experience. Two series of fragility models have been proposed based on practical debris-flow impact pressure models. Several debris flow intensity measures are investigated. A better indication can be provided using the intensity measure that represents specific failure mechanism, for example, impact force (hv2) for force-dominated failures or overturning moment (h2v2) for moment dominated failures, where h and v are debris flow depth and velocity, respectively. The corresponding fragility surfaces best express the potential building damage. The intensity thresholds in the proposed fragility curves are consistent with those in empirical vulnerability curves. The methodology presented in this paper promotes the vulnerability assessment using physics based modeling, leading to a more reliable evaluation of building damage caused by debris flows.

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Development of structural debris flow fragility curves (debris flow buildings resistance) using momentum flux rate as a hazard parameter

Cited by 40 publications

References 29 publications

Human Vulnerability to Landslides

Human Vulnerability to Landslides

Development of fragility curves for road embankments exposed to perpendicular debris flows

Reliability-based formulation of building vulnerability to debris flow impacts

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