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Shenren Xu, Qian Zhang, Dingxi Wang and Xiuquan Huang
Precise and inexpensive uncertainty quantification (UQ) is crucial for robust optimization of compressor blades and to control manufacturing tolerances. This study looks into the suitability of MC-adj-nonlinear, a nonlinear adjoint-based approach, to pre...
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Steven Guan, Ko-Tsung Hsu and Parag V. Chitnis
Simulation tools for photoacoustic wave propagation have played a key role in advancing photoacoustic imaging by providing quantitative and qualitative insights into parameters affecting image quality. Classical methods for numerically solving the photoa...
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Peter Marvin Müller, Georgios Bletsos and Thomas Rung
The contribution is devoted to combined shape- and mesh-update strategies for parameter-free (CAD-free) shape optimization methods. Three different strategies to translate the shape sensitivities computed by adjoint shape optimization procedures into sim...
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Yuhang Ma, Jiecheng Du, Tihao Yang, Yayun Shi, Libo Wang and Wei Wang
Robust optimization design (ROD) is playing an increasingly significant role in aerodynamic shape optimization and aircraft design. However, an efficient ROD framework that couples uncertainty quantification (UQ) and a powerful optimization algorithm for...
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Xinping Wu, Minjie Xu, Guandong Gao, Baoshu Yin and Xianqing Lv
In this study, a triangular polynomial interpolation (TPI) scheme was developed to estimate the vertical eddy viscosity coefficient (VEVC) on the basis of the Ekman model with adjoint assimilation. In the twin experiments, the advantages and disadvantage...
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Jens Lang and Bernhard A. Schmitt
This paper is concerned with the construction and convergence analysis of novel implicit Peer triplets of two-step nature with four stages for nonlinear ODE constrained optimal control problems. We combine the property of superconvergence of some standar...
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Timur Karimov, Vyacheslav Rybin, Georgii Kolev, Ekaterina Rodionova and Denis Butusov
Communication systems based on chaotic synchronization are gaining interest in the area of secure and covert data transmission. In this paper, a novel digital communication technique based on a coherent chaotic data transmission approach is proposed. In ...
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Aldo Serafino, Benoit Obert and Paola Cinnella
Efficient Robust Design Optimization (RDO) strategies coupling a parsimonious uncertainty quantification (UQ) method with a surrogate-based multi-objective genetic algorithm (SMOGA) are investigated for a test problem in computational fluid dynamics (CFD...
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Alberto Racca, Tom Verstraete and Lorenzo Casalino
This paper addresses the problem of the design optimization of turbomachinery components under thermo-mechanical constraints, with focus on a radial turbine impeller for turbocharger applications. Typically, turbine components operate at high temperature...
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Matthias Schramm, Bernhard Stoevesandt and Joachim Peinke
The adjoint approach in gradient-based optimization combined with computational fluid dynamics is commonly applied in various engineering fields. In this work, the gradients are used for the design of a two-dimensional airfoil shape, where the aim is a c...
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