Toward performance-driven seismic risk monitoring for geothermal platforms: development of ad hoc fragility curves

Megalooikonomou, Konstantinos G.; Parolai, Stefano; Pittore, Massimiliano

doi:10.1186/s40517-018-0094-3

Cited by 11 publications

(9 citation statements)

References 20 publications

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“…The surveys have been conducted by local engineers experienced in the local building practices using the Remote Rapid Visual Survey (RRVS) web-based platform (Megalooikonomou et al, 2018; Pittore et al, 2018). The platform allows different users to concurrently survey buildings through the analysis of panoramic images and input the observed features in terms of the GEM v2.0 buildings taxonomy (Brzev et al, 2013).…”

Section: Application and Resultsmentioning

confidence: 99%

Variable resolution probabilistic modeling of residential exposure and vulnerability for risk applications

2020

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In risk assessment, the exposure component describes the elements exposed to the natural hazards and susceptible to damage or loss, while the vulnerability component defines the likelihood to incur damage or loss conditional on a given level of hazard intensity. In this article, we propose a novel adaptive approach to exposure modeling which exploits Dirichlet-Multinomial Bayesian updating to implement the incremental assimilation of sparse in situ survey data into probabilistic models described by compositions (proportions). This methodology is complemented by the introduction of a custom spatial aggregation support based on variable-resolution Central Voronoidal Tessellations. The proposed methodology allows for a more consistent integration of empirical observations, typically from engineering surveys, into large-scale models that can also efficiently exploit expert-elicited knowledge. The resulting models are described in a probabilistic framework, and as such allow for a more thorough analysis of the underlying uncertainty. The proposed approach is applied and discussed in five countries in Central Asia.

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Section: Application and Resultsmentioning

confidence: 99%

Variable resolution probabilistic modeling of residential exposure and vulnerability for risk applications

2020

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“…A webbased platform (Haas et al, 2016) has been employed to survey residential areas in the considered test sites. The survey have been carried out by a structural engineer which analyzed a set of buildings by means of omnidirectional images and web GIS maps (Megalooikonomou et al, 2018). The buildings to inspect have been selected, with a random spatial sampling, from the OpenStreetMap database, which appeared to be rather complete in the considered region.…”

Section: Applicationmentioning

confidence: 99%

Risk-Oriented, Bottom-Up Modeling of Building Portfolios With Faceted Taxonomies

Pittore

Haas

Megalooikonomou

2018

Front. Built Environ.

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Earthquake exposure describes the assets that are exposed to seismic activity and are susceptible to be damaged. In seismic risk applications, it mostly refers to the residential and commercial building portfolios, although in general may also include transport infrastructure and lifelines. Providing an efficient description of a complex urban environment in terms of the structural characteristics of buildings related to their seismic vulnerability is challenging, considering the variety of building practices, materials and configurations. A common approach entails the use of pre-defined building typologies, but this may introduce a bias in the resulting models. Faceted taxonomies have been recently introduced to provide a standardized description of buildings using a rich set of basic attributes, but cannot be used directly for risk-related applications. We argue that a bottom-up approach to exposure modeling might prove instrumental in increasing the quality and reliability of risk assessment, and propose hereby a novel score-based methodology to define and assign building classes to unclassified buildings in a sound and transparent way. The approach can be adopted for standard building classifications as well as for original typologies that may be more efficient in capturing the specific features of the building stock. The proposed methodology efficiently decouples the collection of buildings observations, typical of surveying activities, from the assignment of risk-aimed building classes, and provides a useful tool to practitioners and engineers involved in large-scale earthquake risk assessment. The proposed methodology has been exemplified with a building portfolio collected in France near the geothermal plant of Soultz-sous-Fôrets, and is used to rapidly characterize the seismic exposure of a built environment for induced seismicity applications.

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“…In this study, some historical masonry buildings located in Alsace France, are considered, and the dynamic characteristics of these structures were estimated by the analysis of seismic noise recordings by sensors installed at each floor of the buildings under study [1], [2].…”

Section: Introductionmentioning

confidence: 99%

“…In the considered test site, the analysis of the collected exposure information indicates that traditional or historical masonry structures occur in large numbers near to the mostly rural areas close to the geothermal platforms in Alsace region in France [3]. Two general classes of structures, namely unreinforced masonry (URM) and timber-framed masonry (TFM) buildings, have been considered, and the simple performance assessment models [1], [2] have been adopted in order to carry out a preliminary vulnerability assessment for these classes of structures. The objective is to rapidly identify buildings and their non-structural components that are at greater risk in the event of an induced earthquake, and to model their non-structural fragility.…”

Section: Introductionmentioning

confidence: 99%

“…The fundamental period of these structures was verified by analyzing the ambient noise measured using the MPwise sensors [4], with one sensor installed outside of the buildings and the three others installed on each floor of the houses (basement, ground floor and first floor). The sensors were installed to record the ambient noise and to draw a vulnerability mode that allows the issuing of damage forecasts (Table 1, [1], [2] ). Finally, the main geometry required as input for the simplified vulnerability models was taken through field inspection of these buildings.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Non-Structural Vulnerability Assessment Methods for Historical Residential Masonry Buildings

Alogdianakis¹,

Megalooikonomou²,

Papavasileiou³

2021

Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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The determination of seismic risk is the foundation for risk mitigation decision-making and a key step in risk management. Large corporations and other enterprises (e.g., local governments) analyze their 'portfolio' of properties, to determine how to best allocate limited funds for structural strengthening of buildings, or other risk reduction measures such as emergency planning. When assessing the seismic vulnerability of buildings, it is essential to first establish the project objectives, before subsequently choosing the most appropriate strategy and tools necessary for building assessment and fulfillment of these objectives. It is also extremely important to understand the difference between the detailed approaches used for individual building assessment and those methods most efficient for larger scale analysis, pursued for city center assessment. While the latter results can be used as a general measure of seismic risk for different types of buildings, the actual seismic risk for any individual building may vary considerably and will depend upon its exact configuration and condition. In this study, some historical masonry buildings located in Alsace France are considered and the dynamic characteristics of these structures were estimated by the analysis of seismic noise recordings by sensors installed at each floor of the buildings under study. The estimated dynamic properties for small amplitude vibrations of these historical structures were used to derive fragility curves through vulnerability models with different level of complexity and accuracy. These fragility curves have been calculated using incremental dynamic analysis for the seismic demands generally imposed upon linear and slightly nonlinear models of single and multiple degrees of freedom, which is the case for the effects of induced seismicity. Considering the latter case of induced seismicity, the vulnerability assessment requires the expected damage to refer to non-structural components. The conclusions through comparison of the results of this study in terms of refinement of the verified structural models will prove useful for both local end-users and industrial stakeholders, with a clear perspective for a better understanding of the risk related to induced and triggered seismicity and its sound management.

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Toward performance-driven seismic risk monitoring for geothermal platforms: development of ad hoc fragility curves

Cited by 11 publications

References 20 publications

Variable resolution probabilistic modeling of residential exposure and vulnerability for risk applications

Variable resolution probabilistic modeling of residential exposure and vulnerability for risk applications

Risk-Oriented, Bottom-Up Modeling of Building Portfolios With Faceted Taxonomies

Comparative Non-Structural Vulnerability Assessment Methods for Historical Residential Masonry Buildings

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