1In an expanding world with limited resources and increasing uncertainty, optimisation and uncertainty quantification (O&UQ) is becoming more a necessity rather than an option. Optimisation can turn a problem into a solution but neglecting the impact of uncertainty can lead to unreliable, or unsustainable, design solutions. The common approach based on safety margins to account for uncertainty in design and manufacturing is not adequate to fully capture the growing complexity of engineering systems and provide reliable and optimal solutions. In addition, this approach may eventually lead to oversized, resource-demanding systems. UTOPIAE is a European research and training network looking at cutting edge methods bridging O&UQ applied to aero...
In this work, optimization-under-uncertainty (OUU) is treated by simultaneously minimizing the mean ...
This dissertation deals with the design and development of structure approaches to the effective and...
International audienceOptimization under uncertainty is a key problem in order to solve complex syst...
openVirtual design analysis has become an indispensable component in most engineering disciplines. D...
4noThe talk presents a global optimisation technique for expensive aerospace applications under unce...
1noSurrogate modelling refers to statistical and numerical techniques to model the relationship betw...
4In this work, a design optimisation strategy is presented for expensive and uncertain single- and m...
International audienceThis paper is devoted to tackling constrained multi-objective optimisation und...
Nowadays computational models are used in virtually all fields of applied sciences and engineering t...
This thesis deals with development of complex products via modeling and simulation, and especially t...
Nowadays, computational models are used in virtually all fields of applied sciences and engineering ...
© 2020 American Society of Mechanical Engineers (ASME). All rights reserved. Engineers design for an...
Computational models are used in virtually all fields of applied sciences and engineering to predict...
In this work, optimization-under-uncertainty (OUU) is treated by simultaneously minimizing the mean ...
Engineering design is generally predicated on a presumed behavior of a given system in response to a...
In this work, optimization-under-uncertainty (OUU) is treated by simultaneously minimizing the mean ...
This dissertation deals with the design and development of structure approaches to the effective and...
International audienceOptimization under uncertainty is a key problem in order to solve complex syst...
openVirtual design analysis has become an indispensable component in most engineering disciplines. D...
4noThe talk presents a global optimisation technique for expensive aerospace applications under unce...
1noSurrogate modelling refers to statistical and numerical techniques to model the relationship betw...
4In this work, a design optimisation strategy is presented for expensive and uncertain single- and m...
International audienceThis paper is devoted to tackling constrained multi-objective optimisation und...
Nowadays computational models are used in virtually all fields of applied sciences and engineering t...
This thesis deals with development of complex products via modeling and simulation, and especially t...
Nowadays, computational models are used in virtually all fields of applied sciences and engineering ...
© 2020 American Society of Mechanical Engineers (ASME). All rights reserved. Engineers design for an...
Computational models are used in virtually all fields of applied sciences and engineering to predict...
In this work, optimization-under-uncertainty (OUU) is treated by simultaneously minimizing the mean ...
Engineering design is generally predicated on a presumed behavior of a given system in response to a...
In this work, optimization-under-uncertainty (OUU) is treated by simultaneously minimizing the mean ...
This dissertation deals with the design and development of structure approaches to the effective and...
International audienceOptimization under uncertainty is a key problem in order to solve complex syst...