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Model of seismic design lateral force levels for the existing reinforced concrete European building stock

Title
Model of seismic design lateral force levels for the existing reinforced concrete European building stock
Type
Article in International Scientific Journal
Year
2021
Authors
Helen Crowley
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Venetia Despotaki
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Vitor Silva
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Jamal Dabbeek
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Xavier Romão
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Nuno Pereira
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James Daniell
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Enes Veliu
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Huseyin Bilgin
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Christoph Adam
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Manya Deyanova
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Naida Ademovic
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Josip Atalic
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Evi Riga
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Anna Karatzetzou
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Bjarni Bessason
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Veronika Shendova
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Alexandru Tiganescu
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Dragos Toma‑Danila
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Zeljko Zugic
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Sinan Akkar
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Ufuk Hancilar
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Journal
Vol. 19
Pages: 2839-2865
ISSN: 1570-761X
Publisher: Springer Nature
Other information
Authenticus ID: P-00T-QPJ
Abstract (EN): As part of the development of a European Seismic Risk Model 2020 (ESRM20), the spatial and temporal evolution of seismic design across Europe has been studied in order to better classify reinforced concrete buildings (which represent more than 30% of the approximately 145 million residential, commercial and industrial buildings in Europe) and map them to vulnerability models based on simulated seismic design. This paper summarises the model that has been developed to assign the years when different seismic design levels (low code, moderate code and high code) were introduced in a number of European countries and the associated lateral forces that were specified spatially within each country for the low and moderate codes for typical reinforced concrete mid-rise buildings. This process has led to an improved understanding of how design regulations evolved across Europe and how this has impacted the vulnerability of the European residential building stock. The model estimates that similar to 60% of the reinforced concrete buildings in Europe have been seismically designed, and of those buildings similar to 60% have been designed to low code, similar to 25% to moderate code and 15% to high code. This seismic design model aims at being a dynamic source of information that will be continuously updated with additional feedback from local experts and datasets. To this end, all of the data has been made openly available as shapefiles on a GitLab repository.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 27
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