Explore the words cloud of the DyVirt project. It provides you a very rough idea of what is the project "DyVirt" about.
The following table provides information about the project.
Coordinator |
THE UNIVERSITY OF SHEFFIELD
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Total cost | 3˙589˙794 € |
EC max contribution | 3˙589˙794 € (100%) |
Programme |
1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers) |
Code Call | H2020-MSCA-ITN-2017 |
Funding Scheme | MSCA-ITN-ETN |
Starting year | 2018 |
Duration (year-month-day) | from 2018-02-01 to 2022-01-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | THE UNIVERSITY OF SHEFFIELD | UK (SHEFFIELD) | coordinator | 546˙575.00 |
2 | SIEMENS GAMESA RENEWABLE ENERGY AS | DK (BRANDE) | participant | 580˙163.00 |
3 | EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH | CH (ZUERICH) | participant | 530˙453.00 |
4 | SIEMENS INDUSTRY SOFTWARE NV | BE (LEUVEN) | participant | 501˙120.00 |
5 | PANEPISTIMIO THESSALIAS | EL (VOLOS) | participant | 484˙773.00 |
6 | AKADEMIA GORNICZO-HUTNICZA IM. STANISLAWA STASZICA W KRAKOWIE | PL (KRAKOW) | participant | 448˙274.00 |
7 | THE UNIVERSITY OF LIVERPOOL | UK (LIVERPOOL) | participant | 260˙697.00 |
8 | GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER | DE (HANNOVER) | participant | 237˙735.00 |
The aim of this innovative training network is to train a new generation of early-stage researchers (ESR’s) to face the urgent challenge of how to model the performance of engineering structures that operate in dynamic environments. Building trusted virtual models for structures subject to high dynamic loads is a process we call “dynamic virtualisation”. All the ESR’s who receive training through this network will (i) obtain a PhD from an internationally recognised University, (ii) gain experience of applying their research skills in non-academic organisations, and (iii) receive training in transferable skills such commercialisation and communication. The network will be run as part of the Open Data Project giving maximum research impact through open access publications, data, software and public engagement. The research carried out through this network will go beyond the now ubiquitous process of creating computer based simulation models of structural dynamics. Obtaining a valuable virtual model is no longer a question of computing power, but now rests in the more difficult problem of developing trust in the model through the process of verification and validation (V & V). The challenges are perhaps most obvious in the renewable energy sector, where technology is developing at a very rapid pace, and more reliable models are required to cope with structures subjected to extreme loadings which lead to a high degree of nonlinearity, and uncertainties. Applying our research to such problems will be accelerated by close interaction with the industrial partners in the network, with whom we intend to maintain and enhance an innovation focused relationship. This will result in a training network where ESR’s are able to be creative, entrepreneurial and innovative whilst receiving state of the art training that will enable them to deal with future challenges in this important area of engineering.
First training week | Other | 2020-01-30 10:22:56 |
Launch network website | Other | 2020-01-30 10:22:56 |
Advertise for ESRs | Other | 2020-01-30 10:22:56 |
Digital data management plan | Open Research Data Pilot | 2020-01-30 10:22:56 |
Take a look to the deliverables list in detail: detailed list of DyVirt deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2020 |
Sedehi, Omid; Katafygiotis, Lambros; Papadimitriou, Costas Hierarchical Bayesian Operational Modal Analysis: Theory and Computations published pages: , ISSN: 0888-3270, DOI: 10.5281/zenodo.3629215 |
Mechanical Systems and Signal Processing 1 | 2020-04-03 |
2019 |
Sedehi, D Teymouri, LS Katafygioti Quantification of Aleatory Uncertainty in Modal Updating Problems using a New Hierarchical Bayesian Framework. published pages: , ISSN: , DOI: 10.22725/icasp13.188 |
International Conference on Applications of Statistics and Probability in Civil Engineering | 2020-04-03 |
2019 |
Daniz Teymouri; Omid Sedehi; Lambros S. Katafygiotis; Costas Papadimitriou A New Online Bayesian Approach for the Joint Estimation of State and Input Forces using Response only Measurements published pages: , ISSN: , DOI: 10.22725/icasp13.165 |
13th International Conference on Applications of Statistics and Probability in Civil Engineering | 2020-04-03 |
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The information about "DYVIRT" are provided by the European Opendata Portal: CORDIS opendata.