• 제목/요약/키워드: Aerodynamic Database

검색결과 44건 처리시간 0.022초

Current Issues in Wind Engineering: A Review

  • Yong Chul Kim
    • 국제초고층학회논문집
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    • 제12권4호
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    • pp.287-297
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    • 2023
  • This paper briefly discusses current issues in wind engineering, including the enhancement of aerodynamic database and AI-assisted design, aerodynamic characteristics of tall buildings with atypical building shapes, application of computation fluid dynamics to wind engineering, evaluation of aerodynamic force coefficients based on a probabilistic method, estimation of tornadic wind speed (JEF scale) and effect of the Ekman Spiral on tall buildings.

공력 조종면 데이터베이스 확장을 통한 저 충실도 해석자의 정확도 개선 (Accuracy Improvement of Low Fidelity Solver by Augmentation of Fin Aerodynamic Database)

  • 강은지;김영화;임경진;이재은;강경태
    • 한국군사과학기술학회지
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    • 제25권1호
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    • pp.45-54
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    • 2022
  • There has been necessity to supplement the fin database to improve the accuracy of low-fidelity aerodynamic solver for missile configuration. In this study, fin database is expanded by in-house solver, utilized in the triservice data the previously established into regions beyond means of CFD. Fin alone data of CFD analysis results in the original region is matched well with triservice data originated from the wind tunnel tests. Extensive fin aerodynamic data from CFD analysis is added to the existing database of the low-fidelity solver. For confirmation, aerodynamic characteristics of body-tail and body-canard-tail missile configurations is computed using upgraded low-fidelity solver at transonic region. The result using improved solver shows good agreements with wind tunnel test and CFD analysis results, which implies that it becomes more accurate.

정상 해석 기반의 데이터베이스를 이용한 TST 비행체의 분리 궤도 예측 (PREDICTION OF SEPARATION TRAJECTORY FOR TSTO LAUNCH VEHICLE USING DATABASE BASED ON STEADY STATE ANALYSIS)

  • 조재현;안상준;권오준
    • 한국전산유체공학회지
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    • 제19권2호
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    • pp.86-92
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    • 2014
  • In this paper, prediction of separation trajectory for Two-stage-To-Orbit space launch vehicle has been numerically simulated by using an aerodynamic database based on steady state analysis. Aerodynamic database were obtained for matrix of longitudinal and vertical positions. The steady flow simulations around the launch vehicle have been made by using a 3-D RANS flow solver based on unstructured meshes. For this purpose, a vertex-centered finite-volume method was adopted to discretize inviscid and viscous fluxes. Roe's finite difference splitting was utilized to discretize the inviscid fluxes, and the viscous fluxes were computed based on central differencing. To validate this flow solver, calculations were made for the wind-tunnel experiment model of the LGBB TSTO vehicle configuration on steady state conditions. Aerodynamic database was constructed by using flow simulations based on test matrix from the wind-tunnel experiment. ANN(Artificial Neural Network) was applied to construct interpolation function among aerodynamic variables. Separation trajectory for TSTO launch vehicle was predicted from 6-DOF equation of motion based on the interpolated function. The result of present separation trajectory calculation was compared with the trajectory using experimental database. The predicted results for the separation trajectory shows fair agreement with reference[4] solution.

이미지 데이터를 이용한 익형 매개변수화 및 공력계수 예측을 위한 인공지능 모델 연구 (Study of an AI Model for Airfoil Parameterization and Aerodynamic Coefficient Prediction from Image Data)

  • 이승훈;김보라;이정훈;김준영;윤민
    • 한국가시화정보학회지
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    • 제21권2호
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    • pp.83-90
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    • 2023
  • The shape of an airfoil is a critical factor in determining aerodynamic characteristics such as lift and drag. Aerodynamic properties of an airfoil have a decisive impact on the performance of various engineering applications, including airplane wings and wind turbine blades. Therefore, it is essential to analyze the aerodynamic characteristics of airfoils. Various analytical tools such as experiments, computational fluid dynamics, and Xfoil are used to perform these analyses, but each tool has its limitation. In this study, airfoil parameterization, image recognition, and artificial intelligence are combined to overcome these limitations. Image and coordinate data are collected from the UIUC airfoil database. Airfoil parameterization is performed by recognizing images from image data to build a database for deep learning. Trained model can predict the aerodynamic characteristics not only of airfoil images but also of sketches. The mean absolute error of untrained data is 0.0091.

KayPENTAX Phonatory Aerodynamic System Model 6600을 이용한 한국 성인의 공기역학적 변수들의 정상치 (Korean Adult Normative Data for the KayPENTAX Phonatory Aerodynamic System Model 6600)

  • 김재옥
    • 말소리와 음성과학
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    • 제6권1호
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    • pp.105-117
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    • 2014
  • The purpose of this study was to (1) establish a Korean adult normative database for phonatory aerodynamic measures obtained with the KayPENTAX Phonatory Aerodynamic System (PAS) Model 6600, (2) investigate the intra-subject reliability of these measures across three testing sessions, and (3) examine the effect of gender on those measures. 170 healthy normal speakers (70 men and 100 women) between the ages 18 and 49 years participated in the study. The PAS protocol of maximum phonation and voicing efficiency were conducted and 25 measures were obtained. All aerodynamic measures taken in this study demonstrated high intra-subject reliability in clinical aspect. There were no significant effect of gender in the measures related to sound pressure and subglottal pressure. However, significant differences for gender were found for phonation time, airflow rate, expiratory volume, aerodynamic power, SPL range, pitch range, mean pitch, aerodynamic resistance, and aerodynamic efficiency. Clinicians should be aware of significant gender effects in some aerodynamic parameters when interpreting the data obtained from PAS.

KF-16의 DOE기반 정적 공력 데이터베이스 구축을 위한 실험적 연구 (An Experimental Study for Construction of Static Aerodynamics Database of KF-16 based on Design of Experiments)

  • 진현;심호준;이돈구;안재명;최한림;오세윤
    • 한국항공우주학회지
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    • 제43권5호
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    • pp.422-431
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    • 2015
  • 풍동실험에 적용하는 실험계획법을 연구하기 위한 선행 연구로써 KF-16의 정적 공력 데이터베이스를 구축하는 풍동 실험을 수행하였다. 본 실험에서 사용된 기체는 KF-16의 1/33 scale의 모델이며 수평 꼬리날개와 플래퍼론, 방향타를 모두 구현하였다. 크게 실험은 수평 꼬리날개의 유무에 따른 공력 특성 변화를 보기 위한 실험과 플랩, 플래퍼론, 방향타, 그리고 수평 꼬리날개의 변위각에 따른 공력특성 변화를 알아보기 위한 실험을 수행하였다. 실험 수행 후에는 각 실험들에 대해서 6가지 공력계수 그래프를 분석하고 반응 표면을 생성하면서 조종면의 변화가 각각 어떤 공력 특성에 큰 영향을 미치는지 알아보았다.

증가 계수의 직접 계산법을 이용한 항공기 유동장 효과의 예측 (PREDICTION OF AIRCRAFT FLOW FIELD EFFECT BY DIRECT CALCULATION OF INCREMENTAL COEFFICIENTS)

  • 김유진;권장혁
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2006년도 추계 학술대회논문집
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    • pp.41-46
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    • 2006
  • When new weapons are introduced, the target points estimation is one of the important objectives in the flight test as well as the safe separation. The prediction methods help to design the flight test schedule. However, the incremental aerodynamic coefficients in the aircraft flow field so-called BSE are difficult to predict. Generally, the semiempirical methods such as the grid methods, IFM and Flow TGP using database are used for estimation of BSE. However, these methods are quasi-steady methods using static aerodynamic loads. Nowadays the time-accurate CFD method is often used to predict the store separation event. In the current process, the incremental aerodynamic coefficients in BSE regime are calculated directly, and the elimination of delta coefficients is checked simultaneously. This stage can be used for the initial condition of Flow TGP with freestream database. Two dimensional supersonic and subsonic store separation problems have been simulated and incremental coefficients are calculated. The results show the time when the store gets out of BSE region.

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Predicting the 2-dimensional airfoil by using machine learning methods

  • Thinakaran, K.;Rajasekar, R.;Santhi, K.;Nalini, M.
    • Advances in Computational Design
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    • 제5권3호
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    • pp.291-304
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    • 2020
  • In this paper, we develop models to design the airfoil using Multilayer Feed-forward Artificial Neural Network (MFANN) and Support Vector Regression model (SVR). The aerodynamic coefficients corresponding to series of airfoil are stored in a database along with the airfoil coordinates. A neural network is created with aerodynamic coefficient as input to produce the airfoil coordinates as output. The performance of the models have been evaluated. The results show that the SVR model yields the lowest prediction error.

π형 주형을 가진 강합성 사장교의 공기역학적 제진방법에 대한 실험적 연구 (An Experimental Study on Wind Aerodynamic Improvement of Steel Composite Cable Stayed Bridge having π-shaped Girder)

  • 장동일;민인기
    • 한국강구조학회 논문집
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    • 제10권4호통권37호
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    • pp.801-811
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    • 1998
  • 본 논문은 풍동실험을 통하여 ${\pi}$형단면을 가지는 강합성사장교의 공기역학적 특성과 제진방법에 대한 연구이다. 제진장치로는 Fairing, Extension, Post, Flap 등이 사용되었고, 가장 효과적인 개선단면을 선정하여 영각, 감쇠비와 난류실험을 수행하여 내풍안정성을 평가하였다. 실험결과 선정된 개선단면에서 공기역학적 내풍안정성이 향상되었고 공기역학적특성이 규명되었다. 따라서 본 연구에서 수행된 ${\pi}$형단면은 내풍설계의 기초 자료로 활용될 수 있을 것이다.

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Aerodynamics Characteristics of Hypersonic Vehicle in Near Space

  • Wu, Dingyi;Liu, Zhenxia;Xiao, Hong
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2008년 영문 학술대회
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    • pp.503-505
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    • 2008
  • The purpose of the current study is to examine the aerodynamic characteristics of two hypersonic vehicles in near space. One is derived from waverider shape, and the other from liftbody. The objective of this study are threefold. The first is to creat an computational database for hypersonic vehicle configurations. The second is to examine the effects of individual vehicle components on hypersonic configurations and to determine the differences in aerodynamic characteristics that result from integrating all vehicle components. The third objective is to evaluate the controllability of each of the fully integrated vehicles and the effectiveness of the control surface design. These objectives were accomplished using DSMC solutions and aerodynamic code developed in Northwestern Polytechnical University. The results are analyzed also in three sections. First, the results of the waverider shape and liftbody shape without integrated vehicle components are presented. Second, the results of adding aircraft components to the waverider shape and liftbody shape are presented. Finally, the aerodynamic characteristics of the fully integrated waverider-derived configuration and liftbody-derived configuration are examined and compared with those of the pure waverider shape and liftbody shape. Comparation between fully integrated waverider-derived configuration and liftbody-derived configuration are also presented in this paper.

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