• 제목/요약/키워드: real scale experiments

검색결과 211건 처리시간 0.028초

아트리움 공간에서의 화재성상에 관한 축소모델 실험연구 (The Experimental Study of Fire Properties in Reduced-scale Atrium Space)

  • 류승관;김충익;유홍선
    • 한국화재소방학회논문지
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    • 제13권4호
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    • pp.30-37
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    • 1999
  • 본 연구에서는 아트리움 공간에서의 화재성상을 파악하기 위해 실물 실현의 대안으로서 축소 모형 실험을 수행하였다. 연속방정식, 운동량 보존 방정식, 에너지 보존 방정식과 같은 지배 방정식의 차원해석으로부터 추론된 $\pi$변수로부터 축소법칙을 얻었다. 이 축소법칙에 따라 일본의 시반스 아트리움을 1/50로 축소한 모형에서 실험을 수행하였다. 여기서 얻어진결과를 실물 실험 결과와 비교하였다. 더 나아가 이러한 결과들은 레이저 관광을 이용한 가시화 시스템에 의해 가시화 되어졌다.

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Development of a generalized scaling law for underwater explosions using a numerical and experimental parametric study

  • Kim, Yongtae;Lee, Seunggyu;Kim, Jongchul;Ryu, Seunghwa
    • Structural Engineering and Mechanics
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    • 제77권3호
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    • pp.305-314
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    • 2021
  • In order to reduce enormous cost of real-scale underwater explosion experiments on ships, the mechanical response of the ships have been analyzed by combining scaled-down experiments and Hopkinson's scaling law. However, the Hopkinson's scaling law is applicable only if all variables vary in an identical ratio; for example, thickness of ship, size of explosive, and distance between the explosive and the ship should vary with same ratio. Unfortunately, it is infeasible to meet such uniform scaling requirement because of environmental conditions and limitations in manufacturing scaled model systems. For the facile application of the scaling analysis, we propose a generalized scaling law that is applicable for non-uniform scaling cases in which different parts of the experiments are scaled in different ratios compared to the real-scale experiments. In order to establish such a generalized scaling law, we conducted a parametric study based on numerical simulations, and validated it with experiments and simulations. This study confirms that the initial peak value of response variables in a real-scale experiment can be predicted even when we perform a scaled experiment composed of different scaling ratios for each experimental variable.

Real-time large-scale hybrid testing for seismic performance evaluation of smart structures

  • Mercan, Oya;Ricles, James;Sause, Richard;Marullo, Thomas
    • Smart Structures and Systems
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    • 제4권5호
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    • pp.667-684
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    • 2008
  • Numerous devices exist for reducing or eliminating seismic damage to structures. These include passive dampers, semi-active dampers, and active control devices. The performance of structural systems with these devices has often been evaluated using numerical simulations. Experiments on structural systems with these devices, particularly at large-scale, are lacking. This paper describes a real-time hybrid testing facility that has been developed at the Lehigh University NEES Equipment Site. The facility enables real-time large-scale experiments to be performed on structural systems with rate-dependent devices, thereby permitting a more complete evaluation of the seismic performance of the devices and their effectiveness in seismic hazard reduction. The hardware and integrated control architecture for hybrid testing developed at the facility are presented. An application involving the use of passive elastomeric dampers in a three story moment resisting frame subjected to earthquake ground motions is presented. The experiment focused on a test structure consisting of the damper and diagonal bracing, which was coupled to a nonlinear analytical model of the remaining part of the structure (i.e., the moment resisting frame). A tracking indictor is used to track the actuator ability to achieve the command displacement during a test, enabling the quality of the test results to be assessed. An extension of the testbed to the real-time hybrid testing of smart structures with semi-active dampers is described.

Real-time Object Recognition with Pose Initialization for Large-scale Standalone Mobile Augmented Reality

  • Lee, Suwon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권10호
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    • pp.4098-4116
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    • 2020
  • Mobile devices such as smartphones are very attractive targets for augmented reality (AR) services, but their limited resources make it difficult to increase the number of objects to be recognized. When the recognition process is scaled to a large number of objects, it typically requires significant computation time and memory. Therefore, most large-scale mobile AR systems rely on a server to outsource recognition process to a high-performance PC, but this limits the scenarios available in the AR services. As a part of realizing large-scale standalone mobile AR, this paper presents a solution to the problem of accuracy, memory, and speed for large-scale object recognition. To this end, we design our own basic feature and realize spatial locality, selective feature extraction, rough pose estimation, and selective feature matching. Experiments are performed to verify the appropriateness of the proposed method for realizing large-scale standalone mobile AR in terms of efficiency and accuracy.

실선시험기법을 이용한 다방향파중에서의 선박의 응답추정법 (Ship Response Estimation Method in Multi-Directional Waves Using Real Sea Experiments)

  • 조효제;강일권;김종철
    • 한국해양공학회지
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    • 제12권1호
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    • pp.135-142
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    • 1998
  • In this study, the frequency transfer function of motions are predicted from the result of a full-scale seakeeping trials. Because the real sea has the characteristics of multi-directional waves,we compare the results in the one directional waves with ones in the directional waves. For calculation of the frequency transfer function in the directional waves, Takezawa's inverse estimation method was introduced and the frequency ranges were divided into three parts in order to consider following seas. The full-scale seakeeping trials was executed in the south sea of Korea using the stern trawler. Those results show that analysis method of the multi-directional waves is more reliable than that of one directional waves, and confirm the possibility of applying this method to the full-scale seakeeping trials.

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철도차량용 LIM의 회전형 축소모델의 특성 해석 (Characteristic Analysis of a rotary small-scale model of a linear induction motor used for an urban railway transit)

  • 양원진;박찬배;이형우;권삼영;박현준;원충연
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2008년도 춘계학술대회 논문집
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    • pp.2011-2014
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    • 2008
  • A linear induction motor for urban railway transit is accompanied with the end-effect and large air-gap comparing with a rotary induction motor. These cause amount of difference between simulation results and experiments. In order to figure out the difference, experiments based on a real-scale test bed are indispensable, however building a test-line and a test vehicle is so difficult that authors are going to make a small-scale model and simulate it for comparison. In this paper, A rotary-type small-scale model of a linear induction motor is designed. Thrust and normal force of the model have been analyzed with the variation of frequency and speed by using a Finite Element Method(FEM).

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변압기실 화재에 대한 미분무수 소화시스템의 적용 -냉각특성을 중심으로(Part 2) (Application of Water Mist System for a Power Transformer Room -Cooling Characteristics (Part 2))

  • 최병일;한용식;김명배
    • 한국화재소방학회논문지
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    • 제19권4호
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    • pp.37-41
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    • 2005
  • 본 연구에서는 미분무수 소화시스템의 변압기에 대한 냉각성능을 기술한다. 재발화를 방지하기 위한 냉각성능은 변압기의 철심으로부터 절연유에 전달되어 축적된 열에너지를 효과적으로 소산시키는 것을 의미한다. 철심이 매우 무겁기 때문에 축소 규모의 변압기를 이용하여 실험을 수행하였고, 이 결과로부터 냉각시간을 결정하기 위하여 상사해석을 수행하였다. 해석 및 실험을 통한 상사법칙으로부터 재발화 방지를 위한 미분무수 소화시스템의 소화시간은 약 12시간으로 나타났다.

소규모 경시적 마이크로어레이 실험의 통계적 분석 (Statistical Analysis of a Small Scale Time-Course Microarray Experiment)

  • 이근영;양상화;김병수
    • 응용통계연구
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    • 제21권1호
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    • pp.65-80
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    • 2008
  • 소규모 경시적 마이크로어레이 실험이란 시점의 개수가 적은 경시적 마이크로어레이 실험으로서 현재까지 보고된 경시적 마이크로어레이 실험의 약 80%를 차지한다. 최근 들어 소규모 경시적 마이크로어레이 실험을 대상으로 하는 통계적 분석 방법이 몇 가지 제안되었다. 최근에 제안된 세 가지 방법들을 실제 소규모 경시적 마이크로어레이 실험자료에 적용하여 분석하고 모의실험 자료를 생성하여 각 방법들의 검정력과 위양성율을 비교해 보았다. 그 결과 낮은 위양성율을 보이는 STEM방법이 다른 방법에 비해서 우위에 있음이 드러났다.

Real Scene Text Image Super-Resolution Based on Multi-Scale and Attention Fusion

  • Xinhua Lu;Haihai Wei;Li Ma;Qingji Xue;Yonghui Fu
    • Journal of Information Processing Systems
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    • 제19권4호
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    • pp.427-438
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    • 2023
  • Plenty of works have indicated that single image super-resolution (SISR) models relying on synthetic datasets are difficult to be applied to real scene text image super-resolution (STISR) for its more complex degradation. The up-to-date dataset for realistic STISR is called TextZoom, while the current methods trained on this dataset have not considered the effect of multi-scale features of text images. In this paper, a multi-scale and attention fusion model for realistic STISR is proposed. The multi-scale learning mechanism is introduced to acquire sophisticated feature representations of text images; The spatial and channel attentions are introduced to capture the local information and inter-channel interaction information of text images; At last, this paper designs a multi-scale residual attention module by skillfully fusing multi-scale learning and attention mechanisms. The experiments on TextZoom demonstrate that the model proposed increases scene text recognition's (ASTER) average recognition accuracy by 1.2% compared to text super-resolution network.