K
Kun Zhao
Researcher at China Aerodynamics Research and Development Center
Publications - 34
Citations - 312
Kun Zhao is an academic researcher from China Aerodynamics Research and Development Center. The author has contributed to research in topics: Noise & Landing gear. The author has an hindex of 9, co-authored 34 publications receiving 202 citations. Previous affiliations of Kun Zhao include National University of Defense Technology & Trinity College, Dublin.
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Journal ArticleDOI
Noise reduction technologies for aircraft landing gear-A bibliographic review
TL;DR: A bibliographical review of technologies for landing gear noise reduction, taking the Technology Readiness Level (TRL) into consideration, is presented.
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Bio-Inspired Aerodynamic Noise Control: A Bibliographic Review
TL;DR: This bibliographic survey systematically review the progresses and trends of the bio- inspired aerodynamic noise control, including the macroscopic and microscopic morphological characteristics of the owl wing feathers, the noise measurements on both flying birds in the field and prepared wings in the wind tunnel, as well as theoretical, numerical and experimental studies that explored the feasibility, parameter influence, aerodynamic effects and underlying mechanisms of the four main bio-inspired noise reduction techniques.
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Aerodynamic noise reduction using dual-jet planar air curtains
TL;DR: In this article, a dual-jet planar air curtains are demonstrated to successfully remove aerodynamic noise radiated from tandem rods in a cross-flow, achieving the same shielding height with a significantly lower overall system noise.
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Global sensitivity analysis using orthogonal augmented radial basis function
TL;DR: An orthogonal augment radial basis function (OA-RBF) method, for estimating a general class of Sobol’ indices and results obtained indicate that the approach proposed here can be utilized for GSA of industrial-scale engineering problems.
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Efficient space-filling and near-orthogonality sequential Latin hypercube for computer experiments
TL;DR: A general and efficient method for constructing LHDs possessing favorable characteristics of orthogonality and better computational efficiency is first proposed and a sequentially enlarging strategy is derived based on the initial design.