Objective
In highly industrialised regions, earthquakes severely affect societies in terms of economic, social and environmental consequences due to the complex integrated and highly sensitive industries - even in areas of medium to low seismicity like Europe. Whereas the seismic behaviour of typical building structures is broadly understood and reflected in technical guidelines and damage prognosis tools worldwide, event reports and even assessment tools for industrial facilities are scarce, mainly because affected facilities are usually not generally accessible and are, thus, not covered by reconnaissance teams. After the 2012 Earthquake in the Italian Regione Emilia-Romagna (RE-R), however, the regional government gathered very detailed data on seismic damages to more than 3000 industrial / business facilities in order to distribute financial compensations. The data was collected in an extremely comprehensive database including – besides many other aspects – type, size and location of the business as well as damage to structures, components and stored goods and costs of reconstruction. Within the proposed DatA ESPerT project, the researcher will exploit this globally unique SFINGE-database in a rigorous way, in order to develop mathematical tools to assess the seismic performance of industrial facilities and to give damage prognoses for future earthquakes. Due to the comparable socio-economic context and similar seismic hazard levels, the research results will be valid for many regions in Southern Europe. Additional aspects of the project consider the development of cost/performance curves for seismic mitigation measures and the investigation of the geographical damage distribution in relation to the seismological circumstances in the Emilia-Romagna. The work is strongly supported by RWTH Aachen, by Munich RE reinsurance company and by RE-R who assured to the researcher within an official agreement access to the confidential SFINGE-database in the project's framework.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology civil engineering structural engineering earthquake engineering seismic loading
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2016
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
52062 Aachen
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.