Documents published in Scipedia

• D7.4 Final report on Stochastic Optimization results

  S. Bidier, U. Khristenko, A. Kodakkal, C. Soriano, R. Rossi

  Open Access Repository of the ExaQUte project: Deliverables (2022). 2

  
  

  Abstract

  This deliverable report focuses on the final stochastic optimization results obtained within the EXAscale Quantification of Uncertainties for Technology and Science Simulation (ExaQUte) project. Details on a novel wind inlet generator that is able to incorporate local wind-field data through a deep-learned rapid distortion model and generates the turbulent wind data during run-time is presented in section 2. Section 3 presents the results of the overall stochastic optimization procedure applied to a twisted tapered tower with multiple design parameters within an uncertain synthetic wind field. Thereby, the significance of the developed methods and the obtained results are discussed and their integration in industrial wind-engineering workflows is outlined in section 4.

  Abstract
  This deliverable report focuses on the final stochastic optimization results obtained within the EXAscale Quantification of Uncertainties for Technology and Science Simulation [...]

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• D8.4 Report on dissemination activities

  C. Soriano, R. Rossi

  Open Access Repository of the ExaQUte project: Deliverables (2022). 1

  
  

  Abstract

  In Deliverable D8.1 (M18) we presented a first version of the Dissemination Plan for the ExaQUte project. The present document, prepared during the 2nd (and last) review period of the project, represents the updated version of the Dissemination Plan of ExaQUte, and therefore builds on the aforementioned deliverable. This document, thus, focuses on the new activities that have been undertaken from M18 to M42 regarding the dissemination activities. It should be mentioned that the pandemic situation that started in Mach 2020 (actually, in Spain we were sent to confine to our houses the day after the celebration of the First Review meeting of this project) has had an impact in our life, and in our project, particularly in the dissemination actions. The lockdown made impossible most of the activities related to dissemination (travels, conferences, consortium meetings…). But we reinvented our work and found different ways to do things and fulfil pour obligations. Still, in this deliverable, you will find indeed a difference between the type of action that we carried on up to M18 and our activities after M18.

  Abstract
  In Deliverable D8.1 (M18) we presented a first version of the Dissemination Plan for the ExaQUte project. The present document, prepared during the 2nd (and last) review period [...]

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• D8.1 (WP8): Data Management Plan

  J. García-Espinosa, C. Soriano

  prodPhD OA (2022). 4

  
  

  Abstract

  This document presents the deliverable D8.1 – the Data Management Plan (DMP) of work package 8 of the prodPhD project. It aims to present the plan for the management, generation, collection, security, preservation and sharing of data generated through the prodPhD project. The DMP is a key element for organizing the project’s data. It provides an analysis of the data, which will be collected, processed and published by the prodPhD consortium. The project embraces the initiatives of the European Commission to promote the open access to research data, aiming to improve and maximize access to and reuse of research data generated by Horizon 2020 projects. In this sense prodPhD will adhere to the Open Research Data Pilot (ORD Pilot) fostered by the European Commission, and this DMP will be developed following the standards of data storage, access and management. This plan will detail what data will be generated through the project, whether and how it will be made accessible for the verification and reuse and how it will be curated and preserved. In this context, the term data applies to the information generated during the different experimental campaigns carried out in the project, and specifically to the data, including associated metadata, to be used to validate the computational models and the technical solutions to be developed in the project. This document is the first version of the DMP and may be updated throughout the project, if significant changes (new data, changes in consortium policies, changes in consortium composition, etc.) arise.

  Abstract
  This document presents the deliverable D8.1 – the Data Management Plan (DMP) of work package 8 of the prodPhD project. It aims to present the plan for the management, [...]

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• D6.1 (WP6): Key performance indicators (KPIs)

  E. Sanz, P. Alonso, A. Haidar, H. Ghaemi, L. García

  prodPhD OA (2022). 3

  
  

  Abstract

  The project “Social network tools and procedures for developing entrepreneurial skills in PhD programmes” (prodPhD) aims to implement innovative social network-based methodologies for teaching and learning entrepreneurship in PhD programmes. The multidisciplinary teaching and learning methodologies to be developed will enable entrepreneurship education to be introduced into any PhD programme, providing students with the knowledge, skills, and motivation to engage in entrepreneurial activities. However, the use of the output of the project will depend on the nature and profile of the research or scientific field. In this context, key performance indicators (KPIs) form the base on which the quality and scope of the methodologies developed in the project will be quantified and benchmarked. The project’s final product will be an online tool that higher education students can use to learn entrepreneurship from a social network perspective. Performance measurement is one of the first steps of any project and involves the choice and use of indicators to measure the effectiveness and success of the project’s methods and results. All the KPIs have been selected according to criteria of relevance, measurability, reliability, and adequacy, and they cover the process, dissemination methods, and overall quality of the project. In this document, each KPI is defined together with the units and instruments for measuring it. In the case of qualitative KPIs, five-level Likert scales are defined to improve indicator measurability and reliability. The KPIs for prodPhD are divided into three main dimensions, depending on the stage of the project they evaluate. The three main dimensions are performance and development (which are highly related to the project’s process), dissemination and impact (which are more closely correlated with the project’s output), and overall project quality. Different sources (i.e., European projects and papers) have been drawn upon to define a set of 51 KPIs classified into six categories, according to the project phase they aim to evaluate. An Excel tool has been developed that collects all the KPIs analysed in the production of this document. This tool is shared in the Scipedia repository.

  Abstract
  The project “Social network tools and procedures for developing entrepreneurial skills in PhD programmes” (prodPhD) aims to implement innovative social network-based [...]

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• D2.1 (WP2):Needs and requirements analysis

  E. Sanz, M. Lascurain, A. Serrano, A. Haidar, P. Alonso, J. García-Espinosa

  prodPhD OA (2022). 2

  
  

  Abstract

  The prodPhD project aims to address the challenging problem of introducing entrepreneurship training in PhD programmes regardless of discipline. The prodPhD project will create the necessary teaching methodologies and the platform for applying them. The project consists of a consortium of four organizations from across Europe. The main objective of the prodPhD project is to implement innovative social network-based methodologies for teaching and learning entrepreneurship in PhD programmes. The multidisciplinary teaching and learning methodologies will enable entrepreneurship education to be introduced into any PhD programme, providing students with the knowledge, skills, and motivation to engage in entrepreneurial activities. The methodology will be conceived to develop experiential knowledge, involving academics, entrepreneurship experts, and mentors in its development and implementation. Besides, the exchange of experience, competences, and approaches facilitated by social networking will pave the way to crowdsourcing new ideas, improving training methodologies, and stimulating academics’ entrepreneurial skills.

  Abstract
  The prodPhD project aims to address the challenging problem of introducing entrepreneurship training in PhD programmes regardless of discipline. The prodPhD project will create [...]

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• D7.3 Report on UQ results and overall user experience

  S. Bidier, U. Khristenko, R. Tosi, R. Rossi, C. Soriano

  Open Access Repository of the ExaQUte project: Deliverables (2022). 13

  
  

  Abstract

  This deliverable report focuses on the main Uncertainty Quanti cation (UQ) results obtained within the EXAscale Quanti cation of Uncertainties for Technology and Science Simulation (ExaQUte) project. Details on the turbulent wind inlet generator, that enables the supply of random, yet steady, wind velocity boundary conditions during run-time, are given in section 2. This enables the developed UQ workflow, whose results are presented on the basis of the Commonwealth Advisory Aeronautical Council (CAARC) as described in Deliverable 7.1. Finally, the completed UQ workflow and the results are evaluated from an application-driven wind engineering point of view. Thereby, the significance of the developed methods and the obtained results are discussed and their applicability in practical wind-engineering applications is tested through a complete test-run of the UQ workflow.

  Abstract
  This deliverable report focuses on the main Uncertainty Quanti cation (UQ) results obtained within the EXAscale Quanti cation of Uncertainties for Technology and Science Simulation [...]

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• D4.4 API and runtime (complete with documentation and basic unit testing) for IO employing fast local storage

  R. Badia, J. Ejarque, S. Böhm, C. Soriano, R. Rossi

  Open Access Repository of the ExaQUte project: Deliverables (2021). 12

  
  

  Abstract

  This deliverable presents the activities performed on the ExaQUte project task 4.5 Development of interface to fast local storage. The activities have been focused in two aspects: reduction of the storage space used by applications and design and implementation of an interface that optimizes the use of fast local storage by MPI simulations involved in the project applications. In the rst case, for one of the environments involved in the project (PyCOMPSs) the default behavior is to keep all intermediate les until the end of the execution, in case these les are reused later by any additional task. In the case of the other environment (HyperLoom), all les are deleted by default. To unify these two behaviours, the calls \delete object" and \detele le"have been added to the API and a  ag \keep" that can be set to true to keep the les and objects that maybe needed later on. We are reporting results on the optimization of the storage needed by a small case of the project application that reduces the storage needed from 25GB to 350MB. The second focus has been on the de nition of an interface that enables the optimization of the use of local storage disk. This optimization focuses on MPI simulations that may be executed across multiple nodes. The added annotation enables to de ne access patters of the processes in the MPI simulations, with the objective of giving hints to the runtime of where to allocate the di erent MPI processes and reduce the data transfers, as well as the storage usage.

  Abstract
  This deliverable presents the activities performed on the ExaQUte project task 4.5 Development of interface to fast local storage. The activities have been focused in two [...]

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• An Introduction to FIBREGY Project

  J. García-Espinosa

  FIBRE4YARDS OA (2021). Vol. FIBREGY & FIBRE4YARDS joint information day, 15

  
  

  Abstract

  This presentation was held at the FIBREGY & FIBRE4YARDS joint info day on July 1st, 2021. The overall objective of the FIBREGY project is to enable the extensive use of FRP materials in the structure of the next generation of large Offshore Wind and Tidal Power platforms. In order to achieve this objective, the project will develop, qualify and audit innovative FRP materials for offshore applications, elaborate new design procedures and guidelines, generate efficient production, inspection and monitoring methodologies, and validate and demonstrate advanced software analysis tools. Finally, the different developed technologies will be demonstrated by using advanced simulation techniques and building large and real-scale prototypes.

  Abstract
  This presentation was held at the FIBREGY & FIBRE4YARDS joint info day on July 1st, 2021. The overall objective of the FIBREGY project is to enable the [...]

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• Design and Engineering for Vessel Production Improvement & Smart manufacturing approach for developing shipyard 4.0 strategy

  D. Sa

  Fibregy OA (2021). Vol. FIBREGY & FIBRE4YARDS joint information day, 11

  
  

  Abstract

  This presentation was held at the FIBREGY & FIBRE4YARDS joint info day on July 1st, 2021. The main objective of FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept in which advanced and innovative FRP manufacturing technologies are successfully introduced. This project has received funding from European Union's Horizon 2020 research and innovation programme under grant agreement n°101006860.

  Abstract
  This presentation was held at the FIBREGY & FIBRE4YARDS joint info day on July 1st, 2021. The main objective of FIBRE4YARDS project is to maintain European global leadership [...]

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• Current state and interests of EU shipyards in composite production processes.

  M. Dolz

  Fibregy OA (2021). Vol. FIBREGY & FIBRE4YARDS joint information day, 10

  
  

  Abstract

  This presentation was held at the FIBREGY & FIBRE4YARDS joint info day on July 1st, 2021. The main objective of FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept in which advanced and innovative FRP manufacturing technologies are successfully introduced. This project has received funding from European Union's Horizon 2020 research and innovation programme under grant agreement n°101006860.

  Abstract
  This presentation was held at the FIBREGY & FIBRE4YARDS joint info day on July 1st, 2021. The main objective of FIBRE4YARDS project is to maintain European global leadership [...]

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