ELER software – a new tool for urban earthquake loss assessment

Hancılar, Ufuk; Tüzün, Cüneyt; Yenidogan, Cem; Erdik, Mustafa

doi:10.5194/nhess-10-2677-2010

Cited by 77 publications

(35 citation statements)

References 17 publications

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“…Molina et al [2010] presented an overview of available risk and loss estimation software tools and their computation characteristics in terms of type of analysis and damage estimation. Strasser et al [2008] and Hancilar et al [2010] presented comparative studies for the assessment of earthquake losses in the Istanbul Metropolitan Area performed by different software packages.…”

Section: Introductionmentioning

confidence: 99%

Armagedom — A Tool for Seismic Risk Assessment Illustrated with Applications

Sedan¹,

Negulescu²,

Terrier³

et al. 2012

Journal of Earthquake Engineering

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Over recent years, many studies devoted to large-scale seismic risk analyses have been carried out in different regions and by various research teams. A wide variety of software is available to perform these analyses: they are more or less flexible and use different levels of precision to model ground motion and vulnerability of the built environment. All are based on risk calculation through the convolution of hazard and vulnerability. This paper presents a seismic risk analysis tool, Armagedom, implemented over the past five years on a variety of urban seismic contexts: Bouzareah (Algeria), four provinces in Iran, the French Departments lying along the French/Spanish border and Overseas Departments in the French Antilles. The objectives and requirements of these studies differed with respect to the level of precision that was sought and the surface areas examined. In 2 O. Sedan, C. Negulescu, M. Terrier, A. Roullé, Th. Winter, D. Bertil order to meet differing project targets, three levels of seismic risk assessment were defined based on the macroseismic and mechanical approaches for vulnerability and damage estimation presenting different levels of precision: Level N0 estimates seismic risk on a regional territorial scale based on the macroseismic approach and existing statistical data; Level N1 yields the seismic risk at a district level based on the macroseismic approach and on visual evaluation of the vulnerability of structures over an itinerary in the area to be analyzed; and Level N2 also establishes the seismic risk at a district level, but the hazard description is represented by a spectrum and vulnerability is estimated based on mechanical models. The software, with a modular design, was developed in order to optimize computation time and to automate execution of the three levels of analysis. In this paper, the software modules are illustrated by maps derived from the seismic risk analyses performed. We further use the available event information to test, validate and update the methods and the software presented in this paper.

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Section: Introductionmentioning

confidence: 99%

Armagedom — A Tool for Seismic Risk Assessment Illustrated with Applications

Sedan¹,

Negulescu²,

Terrier³

et al. 2012

Journal of Earthquake Engineering

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“…Fragility curves (functions), as being one of the key ingredients for earthquake loss assessment, represent the probability-based relation between the expected response and the performance limits in terms of the cumulative density function of the probability of exceeding of specific damage limit states (or being in certain damage states) for given measures of ground motion severity (Hancilar et al 2010). The generic procedures used for developing fragility functions can be grouped as empirical (or observational) and analytical (or predicted).…”

Section: Introductionmentioning

confidence: 99%

Fragility functions for code complying RC frames via best correlated IM–EDP pairs

Hancılar

Çaktı

2015

Bull Earthquake Eng

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This paper provides an investigation on the correlations between ground motion intensity measures (IMs) and engineering demand parameters (EDPs) through nonlinear dynamic analyses of MDOF systems under real earthquake recordings and then structural fragility curves are derived for the best correlated IM-EDP pairs. For this purpose, a parametric study on reinforced concrete (RC) buildings is carried out. Study buildings comprise 5-, 10-, 15-and 20-story, RC, code-complying, regular, moment-resisting frames designed for different strength reduction factors, e.g. R = 2, 4 and 6. The input ground motion dataset consists of 734 horizontal components of earthquake accelerograms. The best correlations between IMs and EDPs are computed by regression analysis. Sets of fragility curves in terms of maximum inter-story drift ratio, maximum plastic end rotation and maximum floor acceleration are derived based on log-normal distribution assumption. Fragility curves are presented not for a specific damage state such as slight, moderate etc. but for a range of damage thresholds on EDP.

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“…Elements at risk are the social and physical elements exposed to a hazard and usually include population, buildings, lifeline systems, transportation systems and infrastructures. For a general building stock the following parameters affect the damage and loss characteristics: structural (system, height and building practices), non-structural elements and occupancy (such as residential, commercial and governmental) (Hancilar et al, 2010). Comprehensive information on tsunami risk assessment methodologies can be found in Jelinek and Krausmann (2008); they denote that the literature on tsunami risk assessment is very limited compared to other natural hazard risk such as earthquakes, floods or landslides.…”

Section: Exposure Assessmentmentioning

confidence: 99%

Identification of elements at risk for a credible tsunami event for Istanbul

Hancılar

2012

Nat. Hazards Earth Syst. Sci.

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Abstract. Physical and social elements at risk are identified for a credible tsunami event for Istanbul. For this purpose, inundation maps resulting from probabilistic tsunami hazard analysis for a 10 % probability of exceedance in 50 yr are utilised in combination with the geo-coded inventories of building stock, lifeline systems and demographic data. The built environment on Istanbul's shorelines that is exposed to tsunami inundation comprises residential, commercial, industrial, public (governmental/municipal, schools, hospitals, sports and religious), infrastructure (car parks, garages, fuel stations, electricity transformer buildings) and military buildings, as well as piers and ports, gas tanks and stations and other urban elements (e.g., recreational facilities). Along the Marmara Sea shore, Tuzla shipyards and important port and petrochemical facilities at Ambarlı are expected to be exposed to tsunami hazard. Significant lifeline systems of the city of Istanbul such as natural gas, electricity, telecommunication and sanitary and waste-water transmission, are also under the threat of tsunamis. In terms of social risk, it is estimated that there are about 32 000 inhabitants exposed to tsunami hazard.

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ELER software – a new tool for urban earthquake loss assessment

Cited by 77 publications

References 17 publications

Armagedom — A Tool for Seismic Risk Assessment Illustrated with Applications

Armagedom — A Tool for Seismic Risk Assessment Illustrated with Applications

Fragility functions for code complying RC frames via best correlated IM–EDP pairs

Identification of elements at risk for a credible tsunami event for Istanbul

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