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Titlebook: Aerospace System Analysis and Optimization in Uncertainty; Lo?c Brevault,Mathieu Balesdent,Jér?me Morio Book 2020 Springer Nature Switzerl

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發(fā)表于 2025-3-26 21:07:33 | 只看該作者
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Philip Gummett,Josephine Anne Stein without any action. To reduce its environmental footprint, engineers are trying to design more efficient aircraft, with engines less consuming. However, the classical aircraft’s tube and wing configuration has been developed over half a century, and it still offers small potential gain. A breakthro
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Nikolai Anfimov,Nikolai Severtseve space agency strategies for Solar system exploration, Earth monitoring and observation, human spaceflight are developed in accordance with their launch vehicle capabilities. Launch vehicle designs are long term projects (around a decade) involving large budgets and requiring efficient organization
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MDO Related Issues: Multi-Objective and Mixed Continuous/Discrete OptimizationIn addition to the multi-fidelity aspects in MDO discussed in Chapter ., two additional topics of interest to solve complex MDO problems are discussed in this chapter: multi-objective MDO and mixed continuous/discrete variable design optimization problems.
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發(fā)表于 2025-3-28 05:52:00 | 只看該作者
Book 2020for?single discipline problems with a review of existing uncertainty propagation, reliability analysis, and optimization techniques. Part III is dedicated to the uncertainty-based?MDO and related issues. Part IV deals with three MDO related issues: the multifidelity,?the multi-objective optimization
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發(fā)表于 2025-3-28 08:14:02 | 只看該作者
https://doi.org/10.1007/978-0-85729-856-0ainty measures and the distinctions between robustness-based formulation, reliability-based formulation, and robustness-and-reliability-based formulation. Then, in Section 5.2, different approaches to quantify the uncertainty in optimization are discussed. Finally, in the Section 5.3, an overview of
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發(fā)表于 2025-3-28 12:57:48 | 只看該作者
Erhard Geissler,Lajos Gazsó,Ernst Budersciplinary couplings, etc.) and the difficulties involved by uncertainty propagation for multi-physics problems. Most of the existing UMDO formulations are built on the uncertainty propagation techniques dedicated to multidisciplinary problems presented in Chapter .. The algorithms used to solve the
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