• Title/Summary/Keyword: 낙하분산영역

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A Study on the Prediction Technique of Impact Dispersion Area for Flight Safety Analysis (비행안전분석을 위한 낙하분산영역 예측 기법에 대한 연구)

  • Choi, Kyu-Sung;Sim, Hyung-Seok;Ko, Jeong-Hwan;Chung, Eui-Seung
    • Aerospace Engineering and Technology
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    • v.13 no.2
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    • pp.177-184
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    • 2014
  • Flight safety analyses concerned with Launch Vehicle are performed to measure the risk to the people, ship and aircraft using impact point and impact dispersion area of debris generated by on-trajectory failures and malfunction turns. Predictions of impact point and impact dispersion area are essential for launch vehicle's flight safety analysis. Usually, impact dispersion area can be estimated in using Monte-Carlo simulation. However, Monte-Carlo method requires more several hundreds of iterative calculations which requires quite some time to produce impact dispersion area. Herein, we check the possibility of applying JU(Julier Uhlmann) transformation and Taguchi method instead of Monte-Carlo method and we propose a best method in terms of compuational time to produce impact dispersion area by comparing the results of the three methods.

Analysis on Trajectory and Impact Point Dispersion of Test Launch Vehicle (시험발사체 궤적 및 낙하점 분산 분석)

  • Song, Eun-Jung;Cho, Sangbum;Choi, Jiyoung;Lee, Sang-il;Kim, Younghoon;Sun, Byung-Chan
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.8
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    • pp.681-688
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    • 2021
  • This paper considers the trajectory and impact point dispersion analysis of the test launch vehicle (TLV). The analysis, which performed before and after its flight test on November 28, 2018, is described and verified by comparing with the flight test results. The six degree-offreedom (DOF) simulation is used to compute the dispersion of the trajectory, attitude, and impact point, where the launch vehicle performance variations and wind effects during the atmospheric phase are included. The impact area to guarantee the flight safety is determined using the results of the dispersion analysis. The flight test results confirm that the safe flight of TLV is performed within the predicted dispersion boundary.

Real-Time Estimation of Missile Debris Predicted Impact Point and Dispersion Using Deep Neural Network (심층 신경망을 이용한 실시간 유도탄 파편 탄착점 및 분산 추정)

  • Kang, Tae Young;Park, Kuk-Kwon;Kim, Jeong-Hun;Ryoo, Chang-Kyung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.3
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    • pp.197-204
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    • 2021
  • If a failure or an abnormal maneuver occurs during the flight test of a missile, the missile is deliberately self-destructed so as not to continue the flight. At this time, debris are produced and it is important to estimate the impact area in real-time whether it is out of the safety area. In this paper, we propose a method to estimate the debris dispersion area and falling time in real-time using a Fully-Connected Neural Network (FCNN). We applied the Unscented Transform (UT) to generate a large amount of training data. UT parameters were selected by comparing with Monte-Carlo (MC) simulation to secure reliability. Also, we analyzed the performance of the proposed method by comparing the estimation result of MC.

Time-Frequency Analysis of Dispersive Waves in Structural Members Under Impact Loads (시간-주차수 신호처리를 이용한 구조용 부재에서의 충격하중에 의한 분석 파동의 해석)

  • Jeong, H.;Kwon, I.B.;Choi, M.Y.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.20 no.6
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    • pp.481-489
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    • 2000
  • A time-frequency analysis method was developed to analyze the dispersive waves caused by impact loads in structural members such as beams and plates. Stress waves generated by ball drop and pencil lead break were recorded by ultrasonic transducers and acoustic emission (AE) sensors. Wavelet transform (WT) using Gabor function was employed to analyze the dispersive waves in the time-frequency domain, and then to find the arrival time of the waves as a function of frequency. The measured group velocities in the beam and the plate were compared with the predictions based on the Timoshenko beam theory and Rayleigh-Lamb frequency equations, respectively. The agreements were found to be very good.

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Sand-Box Evaluation for Vibration-Attenuation of Concrete Panels with Recycled Materials (재활용재 혼입콘크리트 패널의 진동감쇠성에 대한 사조실험)

  • 정영수;최우성;조성호
    • Magazine of the Korea Concrete Institute
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    • v.10 no.4
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    • pp.171-182
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    • 1998
  • Vibration-controlled concrete has been developed by using various concrete mixtures, such as latex, rubber powders, plastic resins and polystyrene(styrofoam). As part of the recycling research of obsolete aged tires and plastic materials, various vibration-reducing mixtures are used for 10 concrete panels having above 200 kg/cm$^2$ in uniaxial compressive strength. Plywood box with sand uniformly saturated by the raining device has been used for the analysis of the impact wave, of which data have been transfered by the FFT technique to comparatively investigate damping ratios of 10 concrete panels.According to wave propagation analysis on vibration-controlled concrete for this research, it can be concluded that Latex concrete has relatively larger damping ratios than those for noncontrolled normal concrete in a similar compressive strength

Nozzle Flow Characteristics and Simulation of Pesticide Spraying Drone (농약 살포 드론의 노즐 유동 특성 및 시뮬레이션)

  • Kang, Ki-Jun;Chang, Se-Myong;Ra, In-Ho;Kim, Sun-Woo;Kim, Heung-Tae
    • Smart Media Journal
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    • v.8 no.4
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    • pp.38-45
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    • 2019
  • When there is a spray flow such as from a pesticide nozzle, winds affect the droplet flow of a rotary-wing drone accompanied by a strong wake, with a severe oscillation. Especially, during forwarding flights or when winds come from the side, compare to a simple hovering flight as the droplet is in the effect of aerodynamic drag force, the effect of spraying region becomes even larger. For this reason, the spraying of pesticides using drones may cause a greater risk of scattering or a difference in droplet dispersion between locations, resulting in a decrease in efficiency. Therefore, through proper numerical modeling and its applied simulation, an indication tool is required applicable for the various flight and atmospheric conditions. In this research, we completed both experiment and numerical analysis for the strong downwash from the rotor and flight velocity of the drone by comparing the probability density function of droplet distribution to build a spraying system that can improve the efficiency when spraying droplets in the pesticide spray drone.