• Title/Summary/Keyword: Particle interaction model

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Analytical fragility curves of a structure subject to tsunami waves using smooth particle hydrodynamics

  • Sihombing, Fritz;Torbol, Marco
    • Smart Structures and Systems
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    • v.18 no.6
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    • pp.1145-1167
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    • 2016
  • This study presents a new method to computes analytical fragility curves of a structure subject to tsunami waves. The method uses dynamic analysis at each stage of the computation. First, the smooth particle hydrodynamics (SPH) model simulates the propagation of the tsunami waves from shallow water to their impact on the target structure. The advantage of SPH over mesh based methods is its capability to model wave surface interaction when large deformations are involved, such as the impact of water on a structure. Although SPH is computationally more expensive than mesh based method, nowadays the advent of parallel computing on general purpose graphic processing unit overcome this limitation. Then, the impact force is applied to a finite element model of the structure and its dynamic non-linear response is computed. When a data-set of tsunami waves is used analytical fragility curves can be computed. This study proves it is possible to obtain the response of a structure to a tsunami wave using state of the art dynamic models in every stage of the computation at an affordable cost.

2-Dimensional Moving Particle Simulation for Prediction of Oil Boom Performance in Waves (파랑 중 오일붐 성능 예측을 위한 2차원 입자법 시뮬레이션)

  • Nam, Jung-Woo;Park, Ji-In;Hwang, Sung-Chul;Park, Jong-Chun;Jeong, Se-Min
    • Journal of Ocean Engineering and Technology
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    • v.27 no.4
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    • pp.90-97
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    • 2013
  • Oil booms are one of the most widely used types of equipment for the protection of coastal areas against oil spills. In some situations, however, there are several types of oil leaks from the oil boom. Important factors regarding these phenomena include the surrounding ocean environment, such as waves, the density and viscosity of oil, the length of the oil boom skirt, etc. To estimate the performance of the oil boom, it is necessary to predict the behavior of the spilled oil and oil boom. In the present study, the prediction of oil boom performance in waves was carried out using the Pusan-National-University-modified Moving Particle Semi-implicit (PNU-MPS) method, which is an improved version of the original MPS proposed by Koshizuka and Oka (1996). The governing equations, which consist of continuity and Navier-Stokes equations, are solved by Lagrangian moving particles, and all terms expressed by differential operators in the governing equations are replaced by the particle interaction models based on a kernel function. The simulation results were validated through a comparison with the results of Violeau et al. (2007)..

SPH models of the interactions in Stephan's Quintet

  • Hwang, Jeong-Sun
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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    • pp.58.2-58.2
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    • 2011
  • We present smoothed particle hydrodynamic models of the interactions in the compact galaxy group, Stephan's Quintet. Adding thermohydrodynamic effects to the earlier collisionless N-body simulations of Renaud et al. (2010), we further investigate the dynamical interaction history and evolution of the intergalactic gas of Stephan's Quintet. Specifically, we model the formation of the hot X-ray gas, the group-wide shock, and emission line gas as the result of NGC 7318b colliding with the group as well as reproduce the tidal structures in the group. We compare our model results to multi-wavelength observations.

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EFFECT OF THE WATER-WALL INTERACTION POTENTIALS ON THE PROPERTIES OF AQUEOUS SOLUTIONS CONFINED WITHIN A UNIFORMLY CHARGED NANO-CHANNEL

  • Hoang, H.;Kang, S.;Suh, Y.K.
    • 한국전산유체공학회:학술대회논문집
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    • 2009.04a
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    • pp.368-376
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    • 2009
  • Studies on the effect of the wall-ion, wall-water, water-ion and ion-ion interaction on properties of water and ions in nano-channels have been performed through the use of different kinds of ions or different models of potential energy between wall-ion or wall-water. On this paper, we address the effect of water-wall interaction potential on the properties of confined aqueous solution by using the molecular dynamics (MD) simulations. As the interaction potential energies between water and wall we employed the models of the Weeks-Chandler-Andersen (WCA) and Lennard-Jones (LJ). On the MD simulations, 680 water molecules and 20 ions are included between uniformly charged plates that are separated by 2.6 nm. The water molecules are modeled by using the rigid SPC/E model (simple point charge/Extended) and the ions by the charged Lennard-Jones particle model. We compared the results obtained by using WCA potential with those by LJ potential. We also compared the results (e.g. ion density and electro-static potential distributions) in each of the above cases with those provided by solving the Poisson-Boltzmann equation.

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Slurry Particle behavior inside Pad Pore during Chemical Mechanical Polishing (기계화학적 연마공정중 패드내 미세공극에서의 연마입자의 거동)

  • Kwark, Haslomi;Yang, Woo-Yul;Sung, In-Ha
    • Tribology and Lubricants
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    • v.28 no.1
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    • pp.7-11
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    • 2012
  • In this paper, the results of finite element(FE) analysis of chemical mechanical polishing(CMP) process using 2-dimensional elements were discussed. The objective of this study is to find the generation mechanism of microscratches on a wafer surface during the process. Especially, a FE model with a particle inside pad pore was considered to observe how such a contact situation could contribute to microscratch generation. The results of the finite element simulations revealed that during CMP process the pad-particle mixture could be formed and this would be a major factor leading to microscratch generation.

Fast Garment Drape Simulation Using Geometrically Constrained Particle System

  • Kim, Sungmin;Park, Chang-Kyu
    • Fibers and Polymers
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    • v.4 no.4
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    • pp.169-175
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    • 2003
  • A simulation system for versatile garment drape has been developed. Using this system, the shape of a garment can be simulated in consideration of fabric physical properties as well as the interaction between fabrics and other objects. Each fabric piece in a garment is modeled using a geometrically constrained particle system and its behavior is calculated from an implicit numerical integration algorithm in a relatively short time. The system consists of three modules including a preprocessor for the preparation of fabric patterns and external objects, a postprocessor for the results of three-dimensional visualization, and a drape simulation engine. It can be used for the design process of textile goods, garments, furniture, or upholsteries.

Effects of H2O/N2 Blended Dilution on Flame Structure and NOx Formation Characteristics in High Pressure Condition (고압조건에서 H2O/N2 혼합희석이 IGCC 가스터빈 연소기의 화염구조 및 NOx 생성특성에 미치는 영향 해석)

  • Park, Sangwoon;Shin, Youngjun;Kim, Yongmo
    • 한국연소학회:학술대회논문집
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    • 2014.11a
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    • pp.75-76
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    • 2014
  • The present study has numerically investigated the effects of the oxidizer-side nitrogen dilution on the precise structure and NOx formation characteristics of the turbulent syngas nonpremixed flames. Eulerian particle flamelet model was used to predicted the NOx formation characteristics in the turbulent syngas swirling nonpremixed flames. Current numerical simulation was conducted for the syngas gas turbine combustor. Numericla results indicate that as the H2O portion is increased in diluent, the formation of NOx decreased effectively in turbulent syngas swirl nonpremixed flames.

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Calculation of granular flow with DEM(Discrete Element Method) (DEM(Discrete Element Method)를 사용한 분체 유동해석)

  • Choi J. W.;Sah J. Y.
    • 한국전산유체공학회:학술대회논문집
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    • 1998.11a
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    • pp.197-203
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    • 1998
  • The discrete element method is a numerical model capable of describing the mechanical behaviour of assemblies of discs and spheres. The method is based on the use of an explicit numerical scheme in which the interaction of the particles is monitored contact by contact and the motion of the particles modelled particle by particle. In this paper, A two-dimensional model for computing contacts and motions of granular particles of unform, inelasticity is presented. And, code is developed. The primary aim of this paper is to approv computational result of continuum alaysis which is on processing. The end of this paper, that code is tested with several examples.

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Modelling of Carbon Plume by Laser-ablation Method (레이저 용삭법에 의한 플라즈마의 진전 모델링)

  • So Soon-Youl;Lee Jin
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.19 no.5
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    • pp.492-497
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    • 2006
  • The study on laser-ablation plasmas has been strongly interested in fundamental aspects of laser-solid interaction and consequent plasma generation. In particular, this plasma has been widely used for the deposition of thin solid films and applied to the semiconductors and insulators. In this paper, we developed and discussed the generation of carbon ablation plasmas emitted by laser radiation on a solid target, graphite. The progress of carbon plasmas by laser-ablation was simulated using Monte-Carlo particle model under the pressures of vacuum, 1 Pa, 10 Pa and 66 Pa. At the results, carbon particles with low energy were deposited on the substrate as the pressure becomes higher However, there was no difference of deposition distributions of carbon particles on the substrate regardless of the pressure.

Stress Based Node Refill Model for Lattice-Boltzmann Method on Fluid-Structure Interaction Problems (격자 볼츠만 법의 유체 구조 연성해석 적용에 대한 응력 기반 격자 재생성 모델)

  • Shin, Jae-Ho;Lee, Sang-Hwan;Lee, Ju-Hee
    • The KSFM Journal of Fluid Machinery
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    • v.15 no.3
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    • pp.12-18
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    • 2012
  • The Lattice Boltzmann Method has developed for solving the Boltzmann equation in Cartesian domains containing immersed boundaries of arbitrary geometrical complexity moving with prescribed kinematics. When a immersed boundaries are sweeping the fixed fluid node, refilling the node information in a vicinity of fluid nodes is one of the important issues in Lattice Boltzmann Method. In this study, we propose a simple refill algorithm for the particle distribution function based on a proper velocity, density and strain rate to enhance accuracy and stability of the method. The refill scheme based on a asymptotic analysis of LBGK model has improved accuracy than interpolation schemes. The proposed scheme in this study is validated by the simulations of an impulsively started rotating circular cylinder to investigate adaptability for fluid-structure interaction (FSI) problem. This refill scheme has improved stability and accuracy especially at high Reynolds number region.