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Published in 2020 at "International Journal of Energy Research"
DOI: 10.1002/er.6236
Abstract: Optimization of nuclear fuel cycles is essential for experts and policy makers for studying and analyzing the future of the nuclear energy. In the case of advanced electronuclear transition scenarios, multiple parameters with a complex…
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Keywords:
fuel cycle;
optimization uncertainty;
fuel;
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Published in 2018 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.5904
Abstract: © 2018 The Authors. International Journal for Numerical Methods in Engineering Published by John Wiley & Sons, Ltd. In optimization under uncertainty for engineering design, the behavior of the system outputs due to uncertain inputs…
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Keywords:
information reuse;
information;
optimization uncertainty;
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Published in 2021 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2021.03.033
Abstract: Chains of resonators in the form of spring-mass systems have long been known to exhibiting interesting properties such as band gaps. Such features can be leveraged to manipulate the propagation of waves such as the…
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Keywords:
optimization uncertainty;
optimization;
chain;
field representation ... See more keywords
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Published in 2018 at "Chemical Engineering Science"
DOI: 10.1016/j.ces.2018.02.002
Abstract: Abstract Model-based optimization under consideration of uncertainty is an important and active research topic. In order to handle uncertain model and process parameters for the design and optimization of chemical processes, various different approaches have…
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Keywords:
unscented transformation;
uncertainty;
transformation methods;
cubature rules ... See more keywords
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Published in 2018 at "Chemical Engineering Science"
DOI: 10.1016/j.ces.2018.06.079
Abstract: Abstract In the present work we propose an efficient and general algorithm for optimization under uncertainty based on the work of Srinivasan et al. (2003). We use specialized cubature rules to speed up the uncertainty…
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Keywords:
maleic anhydride;
uncertainty;
constraint;
synthesis ... See more keywords
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Published in 2017 at "Journal of biotechnology"
DOI: 10.1016/j.jbiotec.2017.01.013
Abstract: The performance of model-based bioprocess optimizations depends on the accuracy of the mathematical model. However, models of bioprocesses often have large uncertainty due to the lack of model identifiability. In the presence of such uncertainty,…
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Keywords:
bioprocess optimization;
uncertainty;
model;
ensemble modeling ... See more keywords
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Published in 2022 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2021.108266
Abstract: Abstract This paper presents an approach to solve the 2019/2020 NASA Langley UQ challenge problem on optimization under uncertainty. We define an uncertainty model (UM) as a pair " open=" f a | e ,…
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Keywords:
optimization;
langley challenge;
nasa langley;
uncertainty ... See more keywords
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Published in 2023 at "Advances in Mechanical Engineering"
DOI: 10.1177/16878132231161485
Abstract: Numerical simulations and optimization activities are fundamental for daily engineering tasks. Therefore, these tools have become the core area of many fields related to intelligent activities such as structural and mechanical systems, artificial intelligence, smart…
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Keywords:
simulations optimization;
issue;
uncertainty;
numerical simulations ... See more keywords
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Published in 2022 at "International Journal of Micro Air Vehicles"
DOI: 10.1177/17568293221092139
Abstract: In this paper the design optimization-under-uncertainty of a forward swept wing (FSW) blended wing body (BWB) unmanned aerial vehicle (UAV) is examined. Conventional BWBs are often tailless, which leads to a backward swept wing to…
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Keywords:
problem;
design optimization;
design;
forward swept ... See more keywords