Pareto-Optimality-Based Constraint-Handling Technique and Its Application to Compressor Design

Oyama, Akira; Fujii, Kozo; Shimoyama, Koji; Liou, Meng Sing

doi:10.2514/6.2005-4983

Cited by 12 publications

(8 citation statements)

References 19 publications

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“…For example, Oyama et al [7] conducted the optimization of the airfoil of an aircraft-like Mars explorer at a 2 deg angle of attack by using a twodimensional (2D) Reynolds-averaged Navier-Stokes simulation and genetic algorithms for maximizing the lift and minimizing the drag. Their result showed that cambered thin airfoils are obtained as a Pareto-optimal solution with maximum lift-to-drag ratio [8].…”

Section: Introductionmentioning

confidence: 99%

Large-Eddy Simulation of Low-Reynolds-Number Flow Over Thick and Thin NACA Airfoils

Kojima

Nonomura

Oyama

et al. 2013

Journal of Aircraft

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In this study, the flowfields around NACA0012 and NACA0002 airfoils at Reynolds number of 23,000 and the aerodynamic characteristics of these flowfields were analyzed using implicit large-eddy simulation and laminar-flow simulation. Around this Reynolds number, the flow over an airfoil separates, transits, and reattaches, resulting in the generation of a laminar separation bubble at the angle of attack in a certain degree range. Over an NACA0012 airfoil, the separation point moves toward its leading edge with an increasing angle of attack, and the separated flow may transit to create a short bubble. On the other hand, over an NACA0002 airfoil, the separation point is kept at its leading edge, and the separated flow may transit to create a long bubble. Moreover, nonlinearity appears in the lift curve of the NACA0012 airfoil, but not in that of NACA0002, despite the existence of a laminar separation bubble.

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Section: Introductionmentioning

confidence: 99%

Large-Eddy Simulation of Low-Reynolds-Number Flow Over Thick and Thin NACA Airfoils

Kojima

Nonomura

Oyama

et al. 2013

Journal of Aircraft

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“…Esp. under the condition of multiple constraints, the MDO such as the HSRS system should adopt a dialectical and unifed analysis viewpoint [36], i.e., the hunting motion stabilization is conditional, which depends on the geometric nonlinearity of worn wheel-rail contact.…”

Section: Full-vehicle Stability Properties and Variation Patternsmentioning

confidence: 99%

A Dynamic Design Methodology for Large-Scale Complex Nonlinear Systems Based on Orthogonal Decomposition Technique

Wang

Piao

et al. 2023

Shock and Vibration

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HSRS is taken as a typical research case of large-scale complex nonlinear systems, and the re-innovation of associated imported technologies needs to be combined with the particularities of Chinese HSR practices, seeking a more suitable dynamic design methodology to conduct the self-adaptive improved design. Different from the troublesomeness of the primary hunting phenomenon, the self-adaptive improved design can decrease considerably the impact of car body instability on ride comfort merely by applying the semiactive damping technique between intervehicles, to promote scientifically the limit and construction speeds under the rational conditions of wheel-rail matching, i.e., λeN ≥ λemin, λemin = (0.03–0.05). The researching viewpoint of hunting kinematics makes the investigations on the geometric nonlinearity of the wheel-rail contacts contrary to the hypothesis of small creepage and no spin. Since the technical prototype of German ICE3 serial bogies has the design default of the primary hunting phenomenon, the improved design of the wheel-rail relationship has simply abandoned the high-quality technical resources of wheel-rail matching conditions at low conicity. On the contrary, the dynamic simulation analyses of MC01-TC02-MC03 three-vehicles trainset show that the semiactive damping technique between intervehicles takes advantage of Izz >> Ixx to improve the impacts of car body instability on ride comfort, and the self-adaptive improved design has consequently the ability to achieve the technical goal of uniform wear at low conicity. On the premise of meeting the requirements of crossing over different speed grade dedicated lines and realizing the running operations on three-speed levels of 160/250/350 km/h, the self-adaptive higher-/high-speed bogies can conditionally satisfy the economic reprofiling requirements of wheelsets through the optimal routing planning.

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“…The best-N strategy is used as an elitist strategy to accelerate convergence. To avoid having to use penalty functions, the Paretooptimality-based constraint handling technique [16] is incorporated in the genetic algorithm. After non-dominated solutions are obtained, the trade-off is analyzed by data mining methods.…”

Section: A Generalized Frameworkmentioning

confidence: 99%

Kriging-model-based multi-objective robust optimization and trade-off-rule mining using association rule with aspiration vector

Sugimura

Jeong

Obayashi

et al. 2009

2009 IEEE Congress on Evolutionary Computation

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A new design method called MORDE (multi-objective robust design exploration), which conducts both a multi-objective robust optimization and data mining for analyzing trade-offs, is proposed. For the robust optimization, probabilistic representation of design parameters is incorporated into a multi-objective genetic algorithm. The means and standard deviations of responses of evaluation functions to uncertainties in design variables are evaluated by descriptive Latin hypercube sampling using Kriging surrogate models. To extract trade-off control rules further, a new approach, which combines the association rule with an "aspiration vector," is proposed. MORDE is then applied to an industrial design problem concerning a centrifugal fan. Taking dimensional uncertainty into account, MORDE then optimized the means and standard deviations of the resulting distributions of fan efficiency and turbulent noise level. The advantages of MORDE over traditional approaches are shown to be the diversity of the solutions and the quantitative controllability of the trade-off balance among multiple objective functions.

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Pareto-Optimality-Based Constraint-Handling Technique and Its Application to Compressor Design

Cited by 12 publications

References 19 publications

Large-Eddy Simulation of Low-Reynolds-Number Flow Over Thick and Thin NACA Airfoils

Large-Eddy Simulation of Low-Reynolds-Number Flow Over Thick and Thin NACA Airfoils

A Dynamic Design Methodology for Large-Scale Complex Nonlinear Systems Based on Orthogonal Decomposition Technique

Kriging-model-based multi-objective robust optimization and trade-off-rule mining using association rule with aspiration vector

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