Kriging-Based Aeroelastic Gust Response Analysis at High Angles of Attack

Mallik, Wrik; Raveh, Daniella E.

doi:10.2514/1.j059332

Cited by 8 publications

(5 citation statements)

References 25 publications

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“…Though the computed FRFs result out of gust excitations, qualitatively similar trends can be expected for e.g., a pitching excitation. When the responses are compared for the same excitation amplitude, gust responses are milder than those for a pitching motion [20]. The reason is that gusts do not excite the complete airfoil at the same time, but they are moving over the chord of the airfoil gradually.…”

Section: Frequency Contentmentioning

confidence: 95%

“…After 1983, additional physical insight on transonic unsteady nonlinear effects was gained only in the last decade [9,12,[20][21][22][23], with increasing computational power and growing trust in RANS-based methods for separated flows. Most studies analyze complex three-dimensional, aeroelastically-coupled configurations encountering '1-cos' gusts since these broadband excitations are demanded by the Certification Specifications [24].…”

Section: Introductionmentioning

confidence: 99%

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Numerical Simulations on Unsteady Nonlinear Transonic Airfoil Flow

Friedewald

2020

Aerospace

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Large-amplitude excitations need to be considered for gust load analyses of transport aircraft in cruise flight conditions. Nonlinear amplitude effects in transonic flow are, however, only marginally taken into account. The present work aims at closing this gap by means of systematic unsteady Reynolds-averaged Navier-Stokes simulations. The RAE2822 airfoil is analyzed for a variety of sinusoidal gust excitations at different transonic Mach numbers. Responses are evaluated with respect to lift and moment coefficients, their derivatives and the unsteady shock motion. A strong dependency on inflow Mach number and excitation frequency is observed. Generally, amplitude effects decrease with lower Mach numbers or higher excitation frequencies. The unsteady nonlinear simulations predict lower maximum lift values and lower lift and moment derivatives compared to their linear counterparts for lower frequencies in combination with large-amplitude excitations. For the mid-frequency range, trends are not as clear. Additionally, it is shown that the variables of harmonic distortion and maximum shock motion might not be reasonable indicators to predict a nonlinear response.

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Section: Frequency Contentmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Numerical Simulations on Unsteady Nonlinear Transonic Airfoil Flow

Friedewald

2020

Aerospace

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“…The effectiveness was verified by two engineering examples. Mallik [32] proposed an aeroelastic gust response analysis method at high angle of attack based on Kriging method, and verified its accuracy through many examples. Deng [33] used the multi-objective optimization design method to study the crash worthiness of the system, and used the Kriging method to construct the alternative model of specific energy absorption (SEA) and initial peak force.…”

Section: Introductionmentioning

confidence: 98%

Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model

Zhu

Qiu

Chen

et al. 2022

Heliyon

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“…Various data-driven model reduction and surrogate modelling techniques have been developed over the last few years to reduce the online compu-tational cost for shape optimization. Kriging has been a widely used surrogate modelling method in various engineering analysis and design tasks [11,12,13]. However, Kriging suffers from a variety of issues such as being poor at approximating discontinuous functions [14], difficulty in handling high-dimensional problems [15], expensive to use in the presence of a large number of data samples [16], and is difficult to implement for solving certain inverse problems with strong nonlinearities [17].…”

Section: Introductionmentioning

confidence: 99%

A parametric level set method with convolutional encoder-decoder network for shape optimization with fluid flow

Mallik¹,

Jaiman²,

Jelovica³

2023

Preprint

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In this article, we present a new data-driven shape optimization approach for implicit hydrofoil morphing via a polynomial perturbation of parametric level set representations. Without introducing any change in topology, the hydrofoil morphing is achieved by six shape design variables associated with the amplitude and shape of the perturbed displacements. The proposed approach has three to four times lower design variables than shape optimization via free-form deformation techniques and almost two orders lower design variables compared to topology optimization via traditional parametric level sets. Using the fixed uniform Cartesian level set mesh, we also integrate deep convolutional encoder-decoder networks as a surrogate of high-fidelity Reynolds-averaged Navier-Stokes (RANS) simulations for learning the flow field around morphed hydrofoil shapes. We show that an efficient shape representation via parametric level sets can enable online convolutional encoderdecoder application for the shape optimization of hydrofoils. The generalized flow field prediction of the convolutional encoder-decoder is demonstrated by the mean structural similarity index measure (SSIM) of 0.985 and a minimum SSIM of 0.95 for the predicted solutions compared to the true solutions for

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Kriging-Based Aeroelastic Gust Response Analysis at High Angles of Attack

Cited by 8 publications

References 25 publications

Numerical Simulations on Unsteady Nonlinear Transonic Airfoil Flow

Numerical Simulations on Unsteady Nonlinear Transonic Airfoil Flow

Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model

A parametric level set method with convolutional encoder-decoder network for shape optimization with fluid flow

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