Results 21 to 30 of about 3,846 (183)
Robust convex optimization for reentry glide trajectory using polynomial chaos
Xibei Gongye Daxue Xuebao, 2023 Aiming at the reentry glide trajectory design of hypersonic vehicles with uncertain parameters, a robust trajectory optimization method is proposed to enhance the anti-interference ability and process reliability.
YAN Xunliang +4 more
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Numerical approximation of poroelasticity with random coefficients using Polynomial Chaos and Hybrid High-Order methods [PDF]
, 2019 In this work, we consider the Biot problem with uncertain poroelastic coefficients. The uncertainty is modelled using a finite set of parameters with prescribed probability distribution.
Botti, Michele +3 more
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Algorithms, 2020 In this paper, we consider the effect of stochastic uncertainties on non-linear systems with chaotic behavior. More specifically, we quantify the effect of parametric uncertainties to time-averaged quantities and their sensitivities. Sampling methods for
Kyriakos Dimitrios Kantarakias +1 more
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Impact of inlet flow angle variation on the performance of a transonic compressor blade using NIPC
AIP Advances, 2022 The impact of inlet flow variations on turbomachines is common in the real world, resulting in undesirable performance deteriorations in engineering. The origin of performance changes and how to evaluate the changes require to be investigated.
Zeshuai Chen, Zhiheng Xia, Jiaqi Luo
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Robust optimisation of the streamlined shape of a high-speed train in crosswind conditions
Engineering Applications of Computational Fluid Mechanics, 2023 Traditional deterministic aerodynamic optimisation cannot consider environmental uncertainty, which may lead to sensitivity issues. The present study proposes a robust design framework for the aerodynamic optimisation of high-speed trains, which accounts
Yeteng Wang +4 more
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Generalized decoupled polynomial chaos for nonlinear circuits with many random parameters [PDF]
, 2015 This letter proposes a general and effective decoupled technique for the stochastic simulation of nonlinear circuits via polynomial chaos. According to the standard framework, stochastic circuit waveforms are still expressed as expansions of orthonormal ...
Canavero, Flavio +3 more
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IEEE Access, 2020 Semiconductor fabrication technologies as applies to the nanometer-era paradigms of nowadays have rendered uncertainty quantification analyses through component-level parameters compulsory and indispensable. Frequency responses of CMOS active filters are
Mecit Emre Duman, Onder Suvak
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Concurrent design for structures and material microstructures under hybrid uncertainties
Materials & Design, 2021 This study presents a novel topology optimization method for the robust design of structures and material microstructures. Uncertainties are usually ubiquitous and of different sources, and especially hybrid uncertainties widely exist in structural ...
Yongfeng Zheng +4 more
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Surrogate models for unsteady aerodynamics using non-intrusive Polynomial Chaos Expansions [PDF]
, 2020 Abstract. In common industrial practice based on IEC standards, wind turbine simulations are computed in the time domain for each mean wind speed bin using six unsteady wind seeds. Different software such as FAST, Balded or HAWC2 can be used to this purpose, to capture the unsteadiness and uncertainties of the wind in the simulations. The statistics of
Rad Haghi, Curran Crawford
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