Project

MEthods and Tools' Innovation for Seismic safety assessment (METIS)

Goal: The major goal of METIS project is to propose innovations in tools and methodologies for seismic safety assessment of reactors and to develop a new state of the art, in particular by supporting technology transfer from the research community to industry. METIS aims at developing common guidelines for seismic safety assessment at European level, in line with international practice and consensus, so as to provide a new set of state-of-the-art approaches for seismic safety assessment.

Methods: openquake, code_aster

Date: 1 September 2020 - 31 August 2024

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Project log

Konstantin Goldschmidt
added 2 research items
The selection of appropriate engineering seismological (IM) parameters to describe the intensity of an earthquake in vulnerability analysis has been a concern for engineers and geologists since the early days of earthquake engineering. For the prediction of the structural damage, either nonlinear dynamic analyses or empirical or semi-empirical vulnerability curves can be used to predict the expected seismic damage to structures. Fragility curves have traditionally been defined by describing the ground acceleration in a single IM. The selection of an appropriate IM was classically done by simple correlation analyses or by using simpler linear or nonlinear models. In the last decade, there have been increasing attempts in the scientific field to use machine learning methods to predict the expected seismic damage to structures. Here, many IMs as well as structural properties have been used as input simultaneously. However, using a sensitivity analysis, it is also possible to draw conclusions about the relevance of IMs in the investigated data set and to make a new statement about suitable IMs for fragility analysis based on the nonlinear statistical models.
The selection of appropriate engineering seismological (IM) parameters to describe an earthquake in vulnerability analysis has been a concern for engineers and geologists since the early days of earthquake engineering. Either nonlinear dynamic analyses or empirical or semi-empirical vulnerability curves can be used to predict the expected seismic damage to structures. Fragility curves have traditionally been defined by describing the ground acceleration in a single IM. The selection of an appropriate IM was classically done by simple correlation analyses or by using simpler linear Modells. In the last decade, there have been increasing attempts in the scientific field to use machine learning methods to predict the expected seismic damage to structures. Here, many IMs as well as structural properties have been used as input simultaneously. However, using a sensitivity analysis, it is also possible to draw conclusions about the relevance of IMs in the investigated data set and to make a new statement about suitable IMs for fragility analysis based on the highly nonlinear statistical models.
Irmela Zentner
added an update
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Irmela Zentner
added a project goal
The major goal of METIS project is to propose innovations in tools and methodologies for seismic safety assessment of reactors and to develop a new state of the art, in particular by supporting technology transfer from the research community to industry. METIS aims at developing common guidelines for seismic safety assessment at European level, in line with international practice and consensus, so as to provide a new set of state-of-the-art approaches for seismic safety assessment.