• 제목/요약/키워드: Multi-scale analysis

검색결과 785건 처리시간 0.025초

Adaptive fluid-structure interaction simulation of large-scale complex liquid containment with two-phase flow

  • Park, Sung-Woo;Cho, Jin-Rae
    • Structural Engineering and Mechanics
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    • 제41권4호
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    • pp.559-573
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    • 2012
  • An adaptive modeling and simulation technique is introduced for the effective and reliable fluid-structure interaction analysis using MSC/Dytran for large-scale complex pressurized liquid containment. The proposed method is composed of a series of the global rigid sloshing analysis and the locally detailed fluid-structure analysis. The critical time at which the system exhibits the severe liquid sloshing response is sought through the former analysis, while the fluid-structure interaction in the local region of interest at the critical time is analyzed by the latter analysis. Differing from the global coarse model, the local fine model considers not only the complex geometry and flexibility of structure but the effect of internal pressure. The locally detailed FSI problem is solved in terms of multi-material volume fractions and the flow and pressure fields obtained by the global analysis at the critical time are specified as the initial conditions. An in-house program for mapping the global analysis results onto the fine-scale local FSI model is developed. The validity and effectiveness of the proposed method are verified through an illustrative numerical experiment.

A framework for distributed analytical and hybrid simulations

  • Kwon, Oh-Sung;Elnashai, Amr S.;Spencer, Billie F.
    • Structural Engineering and Mechanics
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    • 제30권3호
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    • pp.331-350
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    • 2008
  • A framework for multi-platform analytical and multi-component hybrid (testing-analysis) simulations is described in this paper and illustrated with several application examples. The framework allows the integration of various analytical platforms and geographically distributed experimental facilities into a comprehensive pseudo-dynamic hybrid simulation. The object-oriented architecture of the framework enables easy inclusion of new analysis platforms or experimental models, and the addition of a multitude of auxiliary components, such as data acquisition and camera control. Four application examples are given, namely; (i) multi-platform analysis of a bridge with soil and structural models, (ii) multiplatform, multi-resolution analysis of a high-rise building, (iii) three-site small scale frame hybrid simulation, and (iv) three-site large scale bridge hybrid simulation. These simulations serve as illustrative examples of collaborative research among geographically distributed researchers employing different analysis platforms and testing equipment. The versatility of the framework, ease of including additional modules and the wide application potential demonstrated in the paper provide a rich research environment for structural and geotechnical engineering.

멀티 스케일 접근법을 이용한 복합재 압력용기의 수명 예측 (Life Prediction of Composite Pressure Vessels Using Multi-Scale Approach)

  • 진교국;하성규;김재혁;한훈희;김성종
    • 한국산학기술학회논문지
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    • 제11권9호
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    • pp.3176-3183
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    • 2010
  • 본 논문은 다축 하중을 받는 복합재 압력용기의 멀티 스케일 피로수명 예측 방법을 제시하였다. 멀티 스케일 접근법은 복합재료의 기본 구성재료인 섬유, 기지 및 섬유/기지 경계면의 거동으로부터 복합재 플라이, 적층판 및 구조물의 전체 거동을 예측한다. 멀티 스케일 피로수명은 거시적 응력 해석과 미시적 피로파손 해석을 통해 예측된다. 유한요소법을 이용하여 복합재 압력용기의 적층판에 가해지는 다축 피로하중을 구하며, 고전적층판이론을 이용하여 적층판의 플라이 응력을 계산하였다. 미소역학 모델을 이용하여 플라이 응력으로부터 각각 섬유, 기지 및 섬유/기지 경계면에 발생되는 응력을 계산하였다. 복합재 구성재료의 피로수명은 섬유에 대해서는 최대응력법을, 기지에 대해서는 등가응력법을, 섬유/기지 경계면에 대해서는 임계평면법을 사용하였다. 평균응력을 고려하기 위하여 수정된 Goodman 식을 적용하였다. 모든 피로하중에 의한 손상은 Miner 법칙을 이용하여 선형 누적이 되고, 이를 통해 최종 피로파손을 판단한다. 섬유와 기지의 물성값, 섬유체적비 및 와인딩 각도의 확률분포에 따른 복합재 압력용기의 피로수명 영향을 분석하기 위해 몬테카르로 시뮬레이션을 수행하였다.

Mutual Fund 수익률의 비정상 함수형 시그널을 위한 다해상도 클러스터 계층구조 (Multi-scale Cluster Hierarchy for Non-stationary Functional Signals of Mutual Fund Returns)

  • 김대룡;정욱
    • 경영과학
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    • 제24권2호
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    • pp.57-72
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    • 2007
  • Many Applications of scientific research have coupled with functional data signal clustering techniques to discover novel characteristics that can be used for the diagnoses of several issues. In this article we present an interpretable multi-scale cluster hierarchy framework for clustering functional data using its multi-aspect frequency information. The suggested method focuses on how to effectively select transformed features/variables in unsupervised manner so that finally reduce the data dimension and achieve the multi-purposed clustering. Specially, we apply our suggested method to mutual fund returns and make superior-performing funds group based on different aspects such as global patterns, seasonal variations, levels of noise, and their combinations. To promise our method producing a quality cluster hierarchy, we give some empirical results under the simulation study and a set of real life data. This research will contribute to financial market analysis and flexibly fit to other research fields with clustering purposes.

Performance analysis of large-scale MIMO system for wireless backhaul network

  • Kim, Seokki;Baek, Seungkwon
    • ETRI Journal
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    • 제40권5호
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    • pp.582-591
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    • 2018
  • In this paper, we present a performance analysis of large-scale multi-input multi-output (MIMO) systems for wireless backhaul networks. We focus on fully connected N nodes in a wireless meshed and multi-hop network topology. We also consider a large number of antennas at both the receiver and transmitter. We investigate the transmission schemes to support fully connected N nodes for half-duplex and full-duplex transmission, analyze the achievable ergodic sum rate among N nodes, and propose a closed-form expression of the achievable ergodic sum rate for each scheme. Furthermore, we present numerical evaluation results and compare the resuts with closed-form expressions.

Multi-scale and Interactive Visual Analysis of Public Bicycle System

  • Shi, Xiaoying;Wang, Yang;Lv, Fanshun;Yang, Xiaohang;Fang, Qiming;Zhang, Li
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권6호
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    • pp.3037-3054
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    • 2019
  • Public bicycle system (PBS) is a new emerging and popular mode of public transportation. PBS data can be adopted to analyze human movement patterns. Previous work usually focused on specific scales, and the relationships between different levels of hierarchies are ignored. In this paper, we introduce a multi-scale and interactive visual analytics system to investigate human cycling movement and PBS usage condition. The system supports level-of-detail explorative analysis of spatio-temporal characteristics in PBS. Visual views are designed from global, regional and microcosmic scales. For the regional scale, a bicycle network is constructed to model PBS data, and an flow-based community detection algorithm is applied on the bicycle network to determine station clusters. In contrast to the previous used Louvain algorithm, our method avoids producing super-communities and generates better results. We provide two cases to demonstrate how our system can help analysts explore the overall cycling condition in the city and spatio-temporal aggregation of stations.

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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Buckling temperature of a single-walled boron nitride nanotubes using a novel nonlocal beam model

  • Elmerabet, Abderrahmane Hadj;Heireche, Houari;Tounsi, Abdelouahed;Semmah, Abdelwahed
    • Advances in nano research
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    • 제5권1호
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    • pp.1-12
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    • 2017
  • In this paper, the critical buckling temperature of single-walled Boron Nitride nanotube (SWBNNT) is estimated using a new nonlocal first-order shear deformation beam theory. The present model is capable of capturing both small scale effect and transverse shear deformation effects of SWBNNT and is based on assumption that the inplane and transverse displacements consist of bending and shear components, in which the bending components do not contribute toward shear forces and, likewise, the shear components do not contribute toward bending moments. Results indicate the importance of the small scale effects in the thermal buckling analysis of Boron Nitride nanotube.

Seafloor Classification Based on the Texture Analysis of Sonar Images Using the Gabor Wavelet

  • Sun, Ning;Shim, Tae-Bo
    • The Journal of the Acoustical Society of Korea
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    • 제27권3E호
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    • pp.77-83
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    • 2008
  • In the process of the sonar image textures produced, the orientation and scale factors are very significant. However, most of the related methods ignore the directional information and scale invariance or just pay attention to one of them. To overcome this problem, we apply Gabor wavelet to extract the features of sonar images, which combine the advantages of both the Gabor filter and traditional wavelet function. The mother wavelet is designed with constrained parameters and the optimal parameters will be selected at each orientation, with the help of bandwidth parameters based on the Fisher criterion. The Gabor wavelet can have the properties of both multi-scale and multi-orientation. Based on our experiment, this method is more appropriate than traditional wavelet or single Gabor filter as it provides the better discrimination of the textures and improves the recognition rate effectively. Meanwhile, comparing with other fusion methods, it can reduce the complexity and improve the calculation efficiency.

항공 영상 분석을 위한 고유영상과 멀티 스케일 감마 보정 기반의 그림자 복원 (Shadow Reconstruction Based on Intrinsic Image and Multi-Scale Gamma Correction for Aerial Image Analysis)

  • 박기홍
    • 한국항행학회논문지
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    • 제23권5호
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    • pp.400-407
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    • 2019
  • 본 논문에서는 다양한 조도의 영향에도 본질적인 특성이 변하지 않는 고유영상을 이용한 그림자 검출과 멀티 스케일 감마 보정 기반의 그림자 복원 방법을 제안하였다. 그림자 검출은 컬러 영상의 그레이스케일 영상과 고유영상 간의 화소 변화 정보를 이용하여 추정하였으며, 그림자 복원 과정에서는 감마 보정을 통해 영상의 밝기를 조절하는 방법을 적용하였다. 감마 보정은 개별적 화소값에 대한 비선형 조정으로 채도가 변경될 수 있으므로 컬러 영상의 채널별로 수행되는 멀티 스케일 감마 보정을 수행한다. 멀티 스케일 감마 값은 컬러 영상에서 그림자와 그림자가 아닌 영역의 교차 윤곽을 획득한 후 이 정보를 기반으로 추정되며, 결과적으로 서로 다른 유형의 영역 특징을 멀티 스케일 감마 값으로 보정하여 그림자를 복원하였다. 실험 결과, 제안하는 방법이 그림자가 포함된 단일 자연 영상에서 그림자를 효과적으로 복원함을 보였다.