Palestras com o diretor do Instituto de Risco e Incertezas de Liverpool

Os dois eventos ocorrem na segunda-feira, dia 23. O primeiro, às 11 horas, será no Auditório do SET com o tema “O Instituto de Risco e Incertezas de Liverpool: Oportunidades para Pesquisa Multidisciplinar na Inglaterra”. Já o segundo encontro, às 14 horas, na Sala de Aula 1 do SET, será uma aula especial na área de “Engenharia na Presença de Incertezas - Potencial de Métodos Não-tradicionais”.

As palestras serão em inglês e abertas ao público. Confira os títulos originais e os resumos das apresentações:

The Liverpool Institute for Risk and Uncertainty: Opportunities for Multi-Disciplinary Research in the UKThe presentation provides insight in the multi-disciplinary approaches pursued in the Institute for Risk & Uncertainty in the University of Liverpool. Particular focus is on initialising collaboration with us to develop a world-leading sustainable network with Brazilian prime partners as key players.Risk and uncertainties are of rapidly growing concern and importance in the light of a quickly growing complexity and changes in our natural and technical environment, economy and society. It has become obvious that approaches to deal with risk and uncertainties in a complex environment can only be effective and efficient when we embark on multi-disciplinary concepts to build our models most realistically. Failure to consider phenomena in such a broad manner can easily lead to unexpected collapse of various natures and to disasters. Selected research topics and initiatives are elucidated. Then, some engineering-mathematical aspects of uncertainty quantification are discussed, and selected emerging concepts are explained and demonstrated by means of examples. It is illustrated how the model features can be utilised in practical applications, where critical decisions have to be derived.

Dia 23/9, às 11 horas, no Auditório do SET.

Engineering computation under uncertainty – Capabilities of non-traditional modelsThis presentation provides a review of various non-traditional uncertainty models for engineering computation and responds to the criticism of those models. This criticism imputes inappropriateness in representing uncertain quantities and an absence of numerically efficient algorithms to solve industry-sized problems. Non-traditional uncertainty models, however, run counter to this criticism by enabling the solution of problems that defy an appropriate treatment with traditional probabilistic computations due to non-frequentative characteristics, a lack of available information, or subjective influences. The usefulness of such models becomes evident in many cases within engineering practice. Examples include: numerical investigations in the early design stage, the consideration of exceptional environmental conditions and socio-economic changes, and the prediction of the behavior of novel materials based on limited test data. Non-traditional uncertainty models thus represent a beneficial supplement to the traditional probabilistic model and a sound basis for decision-making. In this paper non-probabilistic uncertainty modeling is discussed by means of interval modeling and fuzzy methods. Mixed, probabilistic/non-probabilistic uncertainty modeling is dealt with in the framework of imprecise probabilities possessing the selected components of evidence theory, interval probabilities, and fuzzy randomness. The capabilities of the approaches selected are addressed in view of realistic modeling and processing of uncertain quantities in engineering. Associated numerical methods for the processing of uncertainty through structural computations are elucidated and considered from a numerical efficiency perspective. The benefit of these particular developments is emphasized in conjunction with the meaning of the uncertain results and in view of engineering applications.

Dia 23/9, às 14 horas, na Sala de Aula 1 do SET.