Introduction

Pitilakis, Kyriazis; Franchin, Paolo

doi:10.1007/978-94-017-8835-9_1

Cited by 3 publications

(4 citation statements)

References 56 publications

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“…Slope fragility curves are calculated by a predictive model (e.g. Jafarian et al, 2019; Pitilakis et al, 2014; Rathje and He, 2022) or the direct inclusion of sliding displacement data, without adhering to a predefined regression expression (Jafarian et al, 2021).…”

Section: Seismic Performance Of the Damsmentioning

confidence: 99%

Displacement and damage analysis of earth dams during the 2023 Turkiye earthquake sequence

Lashgari,

Moss

2024

Earthquake Spectra

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The earthquake sequence that occurred on 6 February 2023 in Turkiye caused significant damage to various infrastructures including geostructures such as dams. A total of 17 earth dams within a 200-km radius of the earthquake epicenter experienced varying degrees of damage, ranging from minor (∼2 cm) to major (up to ∼150 cm) deformations. As study of these reveals that the damaged dams are located within the closest distance to the fault of less than 30 km, with an average value of ∼12 km. This study specifically focuses on the seismic displacement analysis of the 17 damaged dams, utilizing the sliding block methods. The recorded motion data was analyzed using the kriging technique to estimate the spectral response at the dam sites. Moreover, the recorded ground motions were scaled to the resonant period of the dam site to estimate acceleration time history. The findings reveal that the rigid block analysis can provide an average estimation of seismic displacement with a relative error of less than 44%. The results of the damage analysis indicate that seven dams reached the ultimate limit state and two dams experienced the serviceability limit state. Moreover, the univariate and multivariate fragility functions are developed to estimate seismic probabilistic analysis of earth dams based on the observed data and the limit states. The results show that the selection of a single intensity measure (IM) and a combination of IMs can affect the predicted probability of failure. The findings provide an insight into the resilience assessment of dams and other geosystems during this strong earthquake.

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Section: Seismic Performance Of the Damsmentioning

confidence: 99%

Displacement and damage analysis of earth dams during the 2023 Turkiye earthquake sequence

Lashgari,

Moss

2024

Earthquake Spectra

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“…One important study on this subject was the EU project for the assessment of lifeline risks (SYNER-G) in 2014, which conducted four stages of system analysis: vulnerability analysis (a breakdown of the potential of all elements), connectivity analysis (re-analysis after removal of links and nodes), capacity analysis (how to service the new demand) and fault-tree analysis (analysis of vital functions such as relief and rescue, which require several different simultaneous, error-free processes). In this study, the average travel speed calculation was based on the modified network and was considered the main parameter for assessing travel costs (Pitilakis and Franchin, 2014).…”

Section: Previous Studies and The Necessity Of Researchmentioning

confidence: 99%

“…Moreover, in terms of resiliency, the results of past studies have primarily focused on comparing two distinct states, before and during a disaster, whereas the mechanism which forms new network conditions during an earthquake and the transportation engineering improvement actions (which involve also the first three of the four classic travel demand analysis stages) has not yet been researched (Pitilakis and Franchin, 2014).…”

Section: Previous Studies and The Necessity Of Researchmentioning

confidence: 99%

Resiliency cube

Chavoshy

Hosseini

2018

IJDRBE

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Purpose This study aims to provide resiliency against earthquakes to the framework of an urban road network and to construct a comprehensive model with sufficient computational detail to assist metropolitan managers as a decision support tool in emergency situations via parametric analysis (model behaviour analysis with parameter changes) to quantify the consequences of decisions. Design/methodology/approach Performed stages are: developing existing resilience assessment frameworks for use against earthquakes in urban road networks, identifying earthquake scenarios and estimating the weight of components using AHP, including an example modelling of Tehran; and developing modelling software (using Matlab®). Findings This study produced a software that performs three-dimensional (3D) graphical modelling, resiliency index measurements and its parametric analyses for the road networks against earthquakes. Based on this model, a prioritized list of upgrades is also introduced. The developed tool also addresses issues regarding the allocation of limited resources between the network components. Research limitations/implications Because of the novelty of the study, there is limited literature on this topic. Practical implications The developed model provides urban managers with a comprehensive list of upgrades and empowering them to graphically and numerically evaluate the resiliency changes as they alter the parameters of these measures and balance their decisions based on available funding. Originality/value In contrast to previous studies, this study has focused on all of these three keywords: resiliency, earthquake and road networks, and not only two of them.

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“…Empirical methods rely on scaling the arrival rates of a hospital during a well-documented event to another hospital based on relating the earthquake intensity and hospital size (Malavisi et al 2015). Moreover, patient arrivals can also be estimated using the number of predicted injuries from building damage, which can be achieved by using a casualty model, such as Hazus [Federal Emergency Management Agency (FEMA) 2012a], SYNER-G (Pitilakis et al 2014), and PAGER (Jaiswal et al 2011). A Hazus casualty model has already been adapted for the city of Iquique (Aguirre et al 2017, 2018).…”

Section: Introductionmentioning

confidence: 99%

Seismic Risk Assessment of an Emergency Department of a Chilean Hospital Using a Patient-Oriented Performance Model

et al. 2019

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After an earthquake, hospital emergency departments need to provide continuous health care services to respond to the eventual sudden increase in injured people. The service performance of an emergency department is influenced by internal factors, such as physical damage and staff availability, and external factors, such as an increased patient arrival rate and disruptions in its supply chain. This research presents a quantification methodology for the performance of the emergency department. The novelty of the proposed approach lies in the explicit integration of the inelastic structural and nonstructural response of the building and damage with its loss of functionality, downtime, and emergency patient treatment rate. A discrete event simulation model is used to model the flow of patients within the different units of the emergency department. The seismic risk is expressed as return periods of exceeding different levels of patient waiting times. Results show that 1,000 and 30,000 accumulated waiting hours correspond to return periods of 100 and 1,000 years, respectively. It is concluded that this model may contribute to improving the risk management of critical emergency department infrastructure.

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Introduction

Cited by 3 publications

References 56 publications

Displacement and damage analysis of earth dams during the 2023 Turkiye earthquake sequence

Displacement and damage analysis of earth dams during the 2023 Turkiye earthquake sequence

Resiliency cube

Seismic Risk Assessment of an Emergency Department of a Chilean Hospital Using a Patient-Oriented Performance Model

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