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DyVirt SIGNED

Dynamic virtualisation: modelling performance of engineering structures

Total Cost €

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EC-Contrib. €

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Partnership

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Project "DyVirt" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF SHEFFIELD 

Organization address
address: FIRTH COURT WESTERN BANK
city: SHEFFIELD
postcode: S10 2TN
website: www.shef.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
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

Map

 Project objective

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.

 Deliverables

List of deliverables.
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.

 Publications

year authors and title journal last update
List of publications.
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.

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