Performance-Based Tsunami Engineering for Risk Assessment of Structures Subjected to Multi-Hazards: Tsunami following Earthquake

Attary, Navid; Lindt, John W. van de; Barbosa, André R.; Cox, Daniel T.; Unnikrishnan, Vipin U.

doi:10.1080/13632469.2019.1616335

Cited by 26 publications

(15 citation statements)

References 27 publications

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“…Several empirical fragility functions for the assessment of buildings (Koshimura et al, 2009;Mas et al, 2012;Suppasri et al, 2014;Charvet et al, 2015;Chock et al, 2016) and infrastructure (Eguchi et al, 2014;Hatayama, 2014) have been derived from observed damage in the 2004 Indian Ocean, 2009 Samoa, 2010 Chile, and 2011 Tohoku tsunamis. Recently, analytical fragility functions were derived from numerical simulations of building response under tsunami inundation (Petrone et al, 2017;Alam et al, 2018;Karafagka et al, 2018;Páez-Ramírez et al, 2020), and under sequential earthquake and tsunami impact (Park et al, 2012;Attary et al, 2019;Petrone et al, 2020). Only a few studies exist that move from fragility to vulnerability modeling .…”

Section: Gaps In Physical Vulnerabilitymentioning

confidence: 99%

“…An important gap related to risk assessment for tsunamis (and in general) is the lack of a streamlined and standard workflow for modeling the multi-hazard and multi-risk aspects. Currently, most studies consider the different hazards to be independent or "simultaneous" (e.g., earthquake and tsunami as independent events); whereas, few works consider interacting hazards such as coupled simulation of tsunami and earthquake (De Risi and Goda, 2016;Goda et al, 2017;Goda and De Risi, 2018;Ordaz et al, 2019;Park et al, 2019), the cumulation of tsunami and earthquake damages and losses (Ordaz, 2015;Attary et al, 2019;Park et al, 2019;Petrone et al, 2020), and interaction of tsunami and aging infrastructure (Akiyama et al, 2020).…”

Section: Assessing Tsunami Risk In a Multi-hazard And Multi-risk Framework (R5)mentioning

confidence: 99%

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Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps

et al. 2021

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Tsunamis are unpredictable and infrequent but potentially large impact natural disasters. To prepare, mitigate and prevent losses from tsunamis, probabilistic hazard and risk analysis methods have been developed and have proved useful. However, large gaps and uncertainties still exist and many steps in the assessment methods lack information, theoretical foundation, or commonly accepted methods. Moreover, applied methods have very different levels of maturity, from already advanced probabilistic tsunami hazard analysis for earthquake sources, to less mature probabilistic risk analysis. In this review we give an overview of the current state of probabilistic tsunami hazard and risk analysis. Identifying research gaps, we offer suggestions for future research directions. An extensive literature list allows for branching into diverse aspects of this scientific approach.

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Section: Gaps In Physical Vulnerabilitymentioning

confidence: 99%

Section: Assessing Tsunami Risk In a Multi-hazard And Multi-risk Framework (R5)mentioning

confidence: 99%

Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps

et al. 2021

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“…inundation depth, flow velocity and force) have been used in literature to estimate structural fragility to tsunami impacts. Past studies (Macabuag et al, 2016;Park et al, 2017;Attary et al, 2019) have shown that no single measure can fully characterise structural fragility to tsunami impacts as it is impossible to explain a complex phenomenon through a sole parameter. For the purpose of this study, observed maximum inundation depth was chosen as the representative intensity measure manifesting damage since depth is more easily estimated from field survey after tsunami events as compared to other flow values, which typically have to be simulated.…”

Section: Maximum Inundation Depthsmentioning

confidence: 99%

Tsunami damage to ports: cataloguing damage to create fragility functions from the 2011 Tohoku event

Chua

Switzer

Suppasri

et al. 2021

Nat. Hazards Earth Syst. Sci.

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Abstract. Modern tsunami events have highlighted the vulnerability of port structures to these high-impact but infrequent occurrences. However, port planning rarely includes adaptation measures to address tsunami hazards. The 2011 Tohoku tsunami presented us with an opportunity to characterise the vulnerability of port industries to tsunami impacts. Here, we provide a spatial assessment and photographic interpretation of freely available data sources. Approximately 5000 port structures were assessed for damage and stored in a database. Using the newly developed damage database, tsunami damage is quantified statistically for the first time, through the development of damage fragility functions for eight common port industries. In contrast to tsunami damage fragility functions produced for buildings from an existing damage database, our fragility functions showed higher prediction accuracies (up to 75 % accuracy). Pre-tsunami earthquake damage was also assessed in this study and was found to influence overall damage assessment. The damage database and fragility functions for port industries can inform structural improvements and mitigation plans for ports against future events.

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“…In general, performance-based engineering offers methods to quantify the uncertain structural response when exposed to a stressor in terms of performance levels and incurred damage states, followed by estimating the probability of exceeding a defined value of a decision variable DV (e.g., economic losses, sustainability index such as waste generation or embodied energy) in a reference time of analysis. The framework for performance-based engineering, originally proposed in the earthquake engineering community (Porter, 2003;Moehle and Deierlein, 2004;Günay and Mosalam, 2013), has been recently extended to other types of natural hazards such as wind (PBWE) (Ciampoli et al, 2011), hurricanes (PBHE) (Barbato et al, 2013), and tsunamis (PBTE) (Attary et al, 2017;Attary et al, 2019), to perform probabilistic risk assessment and/or design of structures. These methodologies posed key advances in the performance assessment of coastal structures by accounting for: 1) the effects of the interaction between the structure and its surroundings (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…These methodologies posed key advances in the performance assessment of coastal structures by accounting for: 1) the effects of the interaction between the structure and its surroundings (e.g. fluid-structure interaction, soil-structure interaction) (Ciampoli et al, 2011); 2) the intrinsic multi-hazard nature of coastal hazards (Barbato et al, 2013;Attary et al, 2019); and 3) successive damage to the structures (e.g. incoming and outcoming flows during tsunami events) (Attary et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Performance-Based Coastal Engineering Framework

González-Dueñas

Padgett

2021

Front. Built Environ.

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The changing dynamics of coastal regions and climate pose severe challenges to coastal communities around the world. Effective planning of engineering projects and resilience strategies in coastal regions must not only address current conditions but also take into consideration the expected changes in the exposure and multi-hazard risk in these areas. However, existing performance-based engineering frameworks generally neglect time-varying factors and miss the opportunity to leverage related evidence as it becomes available. This paper proposes a Performance-Based Coastal Engineering (PBCE) framework that is flexible enough to accommodate uncertain time-varying factors, multi-hazard conditions, and cascading-effects. Furthermore, using a dynamic Bayesian network approach, the framework can incorporate observed evidence into the model to update the prior conditional distribution of the analyzed variables. As a proof of concept, two case studies—a typical elevated residential structure and a two-frame system—are presented, considering the effects of cascading failure, the incorporation of time-varying factors, and the influence of emerging evidence. Results show that neglecting cascading effects significantly underestimates the losses and that the incorporation of evidence reduces the uncertainty under the assumed distribution of evidence. The resulting PBCE framework can support data collection efforts, optimization of retrofitting strategies, integration of experts and community interests by facilitating interactions and knowledge sharing, as well as the identification of vulnerable regions and critical components in coastal multi-hazard regions.

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Performance-Based Tsunami Engineering for Risk Assessment of Structures Subjected to Multi-Hazards: Tsunami following Earthquake

Cited by 26 publications

References 27 publications

Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps

Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps

Tsunami damage to ports: cataloguing damage to create fragility functions from the 2011 Tohoku event

Performance-Based Coastal Engineering Framework

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