• Title/Summary/Keyword: 적응적 메쉬세분화

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Adaptive Mesh Structure for Realtime Paper Crumple Simulation (실시간 종이 구김 시뮬레이션을 위한 적응적 메쉬 구조)

  • Kang, Young-Min
    • Journal of Korea Game Society
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    • v.9 no.4
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    • pp.97-106
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    • 2009
  • In this paper, a realtime approach to the simulation of virtual paper with an adaptive mesh structure is proposed. The proposed method can be applied to arbitrary triangular mesh structures and efficiently produces wrinkles and creases on the paper surface with stable numerical integration and deformation-based mesh refinement. In order to plausibly represent the crumples on the paper object, we employed an adaptive mesh structure with breakable springs. Because the adaptive structure continuously inserts or removes vertices and edges to or from the mesh structure, the conservation of the mass and the momentum should be carefully taken into account for the plausible simulation of the virtual paper. The proposed method produced plausible animation of paper-like thin shell in realtime environments.

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Numerical Simulation of Urban Flash Flood Experiments Using Adaptive Mesh Refinement and Cut Cell Method (적응적 메쉬세분화기법과 분할격자기법을 이용한 극한 도시홍수 실험 모의)

  • An, Hyun-Uk;Yu, Soon-Young
    • Journal of Korea Water Resources Association
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    • v.44 no.7
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    • pp.511-522
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    • 2011
  • Two-dimensional shallow water model based on the cut cell and the adaptive mesh refinement techniques is presented in this paper. These two mesh generation methods are combined to facilitate modeling of complex geometries. By using dynamically adaptive mesh, the model can achieve high resolution efficiently at the interface where flow changes rapidly. The HLLC Reimann solver and the MUSCL method are employed to calculate advection fluxes with numerical stability and precision. The model was applied to simulate the extreme urban flooding experiments performed by the IMPACT (Investigation of Extreme Flood Processes and Uncertainty) project. Simulation results were in good agreement with observed data, and transient flows as well as the impact of building structures on flood waves were calculated with accuracy. The cut cell method eased the model sensitivity to refinement. It can be concluded that the model is applicable to the urban flood simulation in case the effects of sewer and stormwater drainage system on flooding are relatively small like the dam brake.

Development of 2D inundation model based on adaptive cut cell mesh (K-Flood) (적응적 분할격자 기반 2차원 침수해석모형 K-Flood의 개발)

  • An, Hyunuk;Jeong, Anchul;Kim, Yeonsu;Noh, Joonwoo
    • Journal of Korea Water Resources Association
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    • v.51 no.10
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    • pp.853-862
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    • 2018
  • An adaptive cut-cell grid based 2D inundation analysis model, K-Flood, is developed in this study. Cut cell grid method divides a grid into a flow area and a non-flow area depending the characteristics of the flows. With adaptive mesh refinement technique cut cell method can represent complex flow area using relatively small number of cells. In recent years, the urban inundation modeling using high resolution and fine quality data is increasing to achieve more accurate flood analysis or flood forecasting. K-Flood has potential to simulate such complex urban inundation using efficient grid generation technique. A finite volume numerical scheme of second order accuracy for space and time was applied. For verification of K-Flood, 1) shockwave reflex simulation by circular cylinder, 2) urban flood experiment simulation, 3) Malpasset dam collapse simulation are performed and the results are compared with observed data and previous simulation results.

Adaptive Subdivision for Geometry Coding of 3D Meshes (적응형 세분화를 이용한 3D 메쉬의 기하데이타 압축)

  • Lee Hae-Young
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.8
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    • pp.547-553
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    • 2006
  • We present a new geometry coding method for 3D meshes, an adaptive subdivision. Previous localized geometry coding methods have demonstrated better compression ratios than the global approach but they are considered hard to use in practice partly due to time - consuming quantization. Our new localized scheme replaces this quantization with an adaptive subdivision of the localized range. The deeper level a user chooses, the closer to the original the mesh will be restored. We also present an improved connectivity coder upon the current leading Angle-Analyzer's by applying a context-modeling. As a result, our new coder provides reliable and intuitive controls between bit-rate and distortion without losing efficiency.

Interactive Visualization Technique for Adaptive Mesh Refinement Data Using Hierarchical Data Structures and Graphics Hardware (계층적 자료구조와 그래픽스 하드웨어를 이용한 적응적 메쉬 세분화 데이타의 대화식 가시화)

  • ;Chandrajit Bajaj
    • Journal of KIISE:Computer Systems and Theory
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    • v.31 no.5_6
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    • pp.360-370
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    • 2004
  • Adaptive mesh refinement(AMR) is one of the popular computational simulation techniques used in various scientific and engineering fields. Although AMR data is organized in a hierarchical multi-resolution data structure, traditional volume visualization algorithms such as ray-casting and splatting cannot handle the form without converting it to a sophisticated data structure. In this paper, we present a hierarchical multi-resolution splatting technique using k-d trees and octrees for AMR data that is suitable for implementation on the latest consumer PC graphics hardware. We describe a graphical user interface to set transfer function and viewing / rendering parameters interactively. Experimental results obtained on a general purpose PC equipped with an nVIDIA GeForce3 card are presented to demonstrate that the proposed techniques can interactively render AMR data(over 20 frames per second). Our scheme can easily be applied to parallel rendering of time-varying AMR data.

Application of free software for flood simulation (홍수범람 모의를 위한 자유 소프트웨어 활용)

  • Yu, Soon-Young;An, Hyun-Uk
    • Proceedings of the Korea Water Resources Association Conference
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    • 2011.05a
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    • pp.66-70
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    • 2011
  • 최신의 수치 해석 방법을 적용하여 개발되고 있는 자유 유체역학 소프트웨어를 소개하고, 비교적 사용이 용이한 자유 소프트웨어 Gerris를 홍수범람 모의에 활용한 결과를 보여주고자 한다. 도시 지역 돌발 홍수 범람 모의를 위한 Gerris의 신뢰도 검증을 위해 Gerris를 유럽 IMPACT(Investigation of Extreme Flood Processes and Uncertainty) 프로젝트에서 수행한 도시지역 홍수실험을 모의하는데 적용해 보았으며, 모의 결과는 실험 결과와 비교적 잘 일치하여 Gerris가 도시 지역 돌발 홍수 모의에 적합함을 보여주고 있다. 학교 및 연구기관을 중심으로 Gerris와 같은 자유 소프트웨어를 널리 활용하고 개발에 참여할 경우, 국내 홍수범람 수치모형의 개발 역량이 강화되는 토대를 만들 수 있을 것이며, 수공학 전문가는 최신의 소프트웨어를 저비용으로 하천 관리 및 홍수 관리에 활용할 수 있을 것으로 기대된다.

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Stereo Image-based 3D Modelling Algorithm through Efficient Extraction of Depth Feature (효율적인 깊이 특징 추출을 이용한 스테레오 영상 기반의 3차원 모델링 기법)

  • Ha, Young-Su;Lee, Heng-Suk;Han, Kyu-Phil
    • Journal of KIISE:Computer Systems and Theory
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    • v.32 no.10
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    • pp.520-529
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    • 2005
  • A feature-based 3D modeling algorithm is presented in this paper. Since conventional methods use depth-based techniques, they need much time for the image matching to extract depth information. Even feature-based methods have less computation load than that of depth-based ones, the calculation of modeling error about whole pixels within a triangle is needed in feature-based algorithms. It also increase the computation time. Therefore, the proposed algorithm consists of three phases, which are an initial 3D model generation, model evaluation, and model refinement phases, in order to acquire an efficient 3D model. Intensity gradients and incremental Delaunay triangulation are used in the Initial model generation. In this phase, a morphological edge operator is adopted for a fast edge filtering, and the incremental Delaunay triangulation is modified to decrease the computation time by avoiding the calculation errors of whole pixels and selecting a vertex at the near of the centroid within the previous triangle. After the model generation, sparse vertices are matched, then the faces are evaluated with the size, approximation error, and disparity fluctuation of the face in evaluation stage. Thereafter, the faces which have a large error are selectively refined into smaller faces. Experimental results showed that the proposed algorithm could acquire an adaptive model with less modeling errors for both smooth and abrupt areas and could remarkably reduce the model acquisition time.

Applicability Evaluation of Flood Inundation Analysis using Quadtree Grid-based Model (쿼드트리 격자기반 모형의 홍수범람해석 적용성 평가)

  • Lee, Dae Eop;An, Hyun Uk;Lee, Gi Ha;Jung, Kwan Sue
    • Journal of Korea Water Resources Association
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    • v.46 no.6
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    • pp.655-666
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    • 2013
  • Lately, intensity and frequency of natural disasters such as flood are increasing because of abnormal climate. Casualties and property damages due to large-scale floods such as Typhoon Rusa in 2002 and Typhoon Maemi in 2003 rapidly increased, and these show the limits of the existing disaster prevention measures and flood forecasting systems regarding irregular climate changes. In order to efficiently respond to extraordinary flood, it is important to provide effective countermeasures through an inundation model that can accurately simulate flood inundation patterns. However, the existing flood inundation analysis model has problems such as excessive take of analysis time and accuracy of the analyzed results. Therefore, this study conducted a flood inundation analysis by using the Gerris flow solver that uses quadtree grid, targeting the Baeksan Levee in the Nakdong River Basin that collapsed because of a concentrated torrential rainfall in August, 2002. Through comparisons with the FLUMEN model that uses unstructured grid among the existing flood inundation models and the actual flooded areas, it determined the applicability and efficiency of the quadtree grid-based flood inundation model of the Gerris flow solver.