UTOPIAE · Uncertainty Treatment and OPtimisation In Aerospace Engineering
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2017-01-01 → 2020-12-31
- Финансиране от ЕС
- 3 876 854 €
- Участници
- 11
- Схема
- MSCA-ITN-ETN
Линиите свързват координатора с партньорите.
Накратко на български
Математическите модели в авиацията и космоса се изследват, за да се предвидят случайни грешки при проектирането на сложни системи. Това помага за създаването на по-надеждни и устойчиви транспортни средства, които използват ресурсите по-ефективно.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Uncertainty Treatment and OPtimisation In Aerospace Engineering
UTOPIAE looked for the ideal compromise between performance and resilience, optimality and reliability in complex engineering systems and, by embracing the inherent stochasticity of Nature, it used optimisation to harness reliability and robustness into a better future. In an expanding world with limited resources, UTOPIAE developed solutions for a more sustainable and resilient future addressing some of the global challenges for sustainable development and the objectives of Europe in the areas of Transport, Advanced Manufacturing & Processing, and Space. The high level objectives were: To define and develop sets of multi-fidelity models covering key applications in space and aerospace. To look into the most general representation of uncertainty and develop techniques to reduce the computational cost to quantify uncertainty. To study optimal techniques to design new experiments, improve the robustness of the numerical simulation and validate the simulation models. To develop algorithms and methods for worst-case and multi-level optimisation and new techniques for handling expensive many-objective optimisation problems with mixed discrete and continuous decision variables. To make Evidence-Based Robust Optimisation (EBRO) efficient in high dimensional problems and develop new techniques for large scale constrained Reliability Based Design Optimisation (RBDO) problems. To use optimisation under uncertainty to optimise multi-phase processes with evolvable requirements, constraints and performance metrics. UTOPIAE achieved all its objectives by developing new algorithms and mathematical theories that enable the creation of the engineering systems of the future. The immediate impact was to support major aerospace companies like Airbus and Leonardo to design and manufacture safer and better airplanes. The methods developed in UTOPIAE have already been applied to the design of future space missions and have found their way into the design of new medical delivery systems with drones.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
In an expanding world with limited resources and increasing uncertainty, optimisation and uncertainty quantification become a necessity. Optimisation can turn a problem into a solution, thus the main focus of this ETN is to explore and develop new approaches to treat uncertainty in complex engineering systems and use novel optimisation techniques to efficiently deal with large scale problems with many objectives and uncertain quantities. It is generally recognised, in fact, that neglecting the impact of uncertainty on the design of any system or process can lead to unreliable design solutions. Common approaches that make use of safety margins to account for uncertainty in design and manufacturing are not adequate to fully capture the growing complexity of engineering systems and provide reliable and optimal solutions. Aerospace engineering is here taken as a paradigmatic area of research and development that is concerned with complex systems, or system of systems, in which optimality and reliability are of paramount importance. UTOPIAE will train the future generation of engineers and mathematicians who will be able to tackle the complexity of aerospace systems and provide greener, more affordable and safer transportation solutions.
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERSITY OF STRATHCLYDE · GlasgowКоординаторОбединеното кралство
- C.I.R.A. CENTRO ITALIANO RICERCHE AEROSPAZIALI SCPA · CapuaИталия
- DEUTSCHES ZENTRUM FUR LUFT - UND RAUMFAHRT EV · KOLNГермания
- ESTECO SPA · TriesteИталия
- INSTITUT JOZEF STEFAN · LjubljanaСловения
- INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE · Le Chesnay CedexФранция
- POLITECNICO DI MILANO · MilanoИталия
- TECHNISCHE HOCHSCHULE KOLN · KolnГермания
- UNIVERSITEIT GENT · GentБелгия
- UNIVERSITY OF DURHAM · DURHAMОбединеното кралство
- VON KARMAN INSTITUTE FOR FLUID DYNAMICS · Sint-Genesius-RodeБелгия
Връзки
- Виж в CORDIS
- DOI: 10.3030/722734
- https://arquivo.pt/wayback/20201230073719/http://utopiae.eu/
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5cab24bd5&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5cab259fd&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5cab25a8e&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5cab25d69&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5cd24035a&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5cdb01391&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5cdb01f4c&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5cdb21004&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5ce5f5301&appId=PPGMS
Данни: CORDIS, © Европейски съюз
