Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Tariq Benamara"'
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences, Vol 9, Iss 1, Pp 1-31 (2022)
Abstract In design optimization of complex systems, the surrogate model approach relying on progressively enriched Design of Experiments (DOE) avoids efficiency problems encountered when embedding simulation codes within optimization loops. However,
Externí odkaz:
https://doaj.org/article/4aedb04ddefb450db13a22848442cae3
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences, Vol 7, Iss 1, Pp 1-20 (2020)
Abstract This article addresses the problem of constrained derivative-free optimization in a multi-fidelity (or variable-complexity) framework using Bayesian optimization techniques. It is assumed that the objective and constraints involved in the op
Externí odkaz:
https://doaj.org/article/2ea95548677747259391da2d27f9b9be
Autor:
Francesco D’Alessandro, Hugo Festjens, Gael Chevallier, Scott Cogan, Tariq Benamara, Caroline Sainvitu
Publikováno v:
Volume 8B: Structures and Dynamics — Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration.
Finite element models representing industrial scale turbo-machines have reached today a very large number of degrees of freedom. The large size of these models requires the use of reduced order modelling to make the simulations computationally afford
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences
Advanced Modeling and Simulation in Engineering Sciences, SpringerOpen, 2020, 7 (1), ⟨10.1186/s40323-020-00176-z⟩
Advanced Modeling and Simulation in Engineering Sciences, Vol 7, Iss 1, Pp 1-20 (2020)
Advanced Modeling and Simulation in Engineering Sciences, SpringerOpen, 2020, 7 (1), ⟨10.1186/s40323-020-00176-z⟩
Advanced Modeling and Simulation in Engineering Sciences, Vol 7, Iss 1, Pp 1-20 (2020)
This article addresses the problem of constrained derivative-free optimization in a multi-fidelity (or variable-complexity) framework using Bayesian optimization techniques. It is assumed that the objective and constraints involved in the optimizatio
Publikováno v:
Structural and Multidisciplinary Optimization. 56:1387-1412
We combine multiple sets of variable-precision full-field simulations within a single surrogate model. The approach is based on an original formulation of the “Constrained Proper Orthogonal Decomposition” (C-POD), interpolating precise, albeit co
Publikováno v:
Structural and Multidisciplinary Optimization. 54:843-855
This paper presents a reformulation of the "Gappy Proper Orthogonal Decomposition" (Gappy-POD) multi-fidelity modeling approach and proposes an enrichment criterion associated with an adaptive infill algorithm. The latter is here applied to the study
Autor:
Tariq Benamara
Publikováno v:
Mechanics [physics.med-ph]. Université de Technologie de Compiègne, 2017. English. ⟨NNT : 2017COMP2368⟩
Tariq Benamara
Tariq Benamara
Optimizing turbomachinery components stands as a real challenge despite recent advances in theoretical, experimental and High-Performance Computing (HPC) domains. This thesis introduces and validates optimization techniques assisted by full-field Mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ed24d3795feb0b429387d018bb30c660
https://tel.archives-ouvertes.fr/tel-02539162/file/These_UTC_Tariq_Benamara.pdf
https://tel.archives-ouvertes.fr/tel-02539162/file/These_UTC_Tariq_Benamara.pdf
Publikováno v:
Volume 2C: Turbomachinery.
The present contribution proposes a Reduced Order Model based multi-fidelity optimization methodology for the design of highly loaded blades in low pressure compressors. Environmental, as well as, economical limitations applied to engine manufacturer
Publikováno v:
International Journal of Numerical Methods for Heat & Fluid Flow. 23:575-587
PurposeContra‐rotating turbines offer reduced size, weight, and cooling requirements, compared to conventional co‐rotating machinery. In spite of the associated mechanical complexity, their aero‐thermal performance is superior to conventional t