ADINA in non-linear structural Finite Element and CFD-analysis Presented by ableMAX, inc.

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ADINA in non-linear structural Finite Element and CFD-analysis Presented by ableMAX, inc.

ableMax Inc. 소프트웨어 제공 기술 / 교육 지원 컨설팅 SAMCEF winLIFE SINDA/FLUINT CFD2000 ADINA Fluid Structure Interaction analysis Thermal/Fluid design and analysis Fatigue Life Calculation with FEA Thermal/Fluid design and analysis with Chemical method

Structural Analysis Drop Test Heat Transfer + Structural Analysis Frictional Heating (Brake) FSI (Fluid-Structure-Interaction) Vortex induced vibrations ADINA CFD (Computational Fluid Dynamics) Karman vortex street

The ADINA SYSTEM OVERVIEW

CAD Interfaces TRANSOR is ADINA/I-deas interface Is based on universal files Runs ADINA in background Imports results files via universal file translator Import Nastran Import Parasolid, IGES

CAD Interfaces The STL file Input: point cloud obtained from scanning device

CAD Interfaces The STL file Output: STL format file (seen here loaded into the ADINA User Interface).

Post-Processing Nastran model and op2 files for post- processing in NX, I-deas, Femap, etc. Post Processing in Ensight

ADINA-Structure Linear/Nonlinear Stress analysis in Statics and Dynamics  Frictional Contact  Frequencies/Modes analysis/Modal superposition/stress/participation factors  Linearized buckling/collapse analysis/rupture analysis  Accurate and Reliable 2D solids, 3D solids, Trusses, Beams and Shell elements  Elastic, plastic, hyperelastic, viscous, porous, thermally dependent, anisotropic materials 3D dynamic contact of many blocks moving and colliding with each other Rubber boot at the base of a control stick

ADINA-Thermal/ TMC Heat transfer problem in solid and structures  Radiation between surfaces of arbitrary geometries  Element birth-death options  capabilities for highly nonlinear material behavior  Electrostatic, seepage and piezoelectric analysis  Latent heat effects  Fully coupled thermo-mechanical analysis - internal heat generation due to plastic deformation - heat transfer between contacting bodies - surface heat generation due to friction on the contacting surfaces Applications - piezoelectric actuators - disk brake system Temperature field of turbine casing, convection boundary conditions

ADINA-CFD  2 차원, 3 차원 압축ㆍ비압축 유동 해석  Steady-State, Transient (Unsteady) 해석  층류 및 난류 유동 (k-ε, k-ω, SST, DES, LES 모델 ) 해석  Porous Media 를 이용한 유동 해석  온도, 압력, 시간 함수의 유체 물성치 정의  Free surface, Moving Boundary 해석  Mass transfer, Multiphase Flow 해석  Heat Transfer 해석  Electric potentials  Sliding Mesh Boundary Condition & Multiple Reference Frame 기능을 이용한 회전체 해석 Boundary layer meshing Solving Unsteady Separated Flow Using Large Eddy Simulation

Non-Newtonian Fluid power law The fluid viscosity is defined as: max{AD n,μ 0 } if n≥0 μ = min{AD n,μ 0 } if n<0 where D = (e ij,e ij ) 1/2 and e ij = ½*( ә v i / ә x j + ә v j / ә x i ) : effective deformation rate Carreau model User defined model μ = μ ∞ + ( μ 0 - μ ∞ )(1 + AD 2 ) n : specify the material data through a user supplied subroutine written in Fortran A, D, μ ∞, μ 0 : constants With Heat transfer : Temperature-dependent power-law, Second order model,

ADINA-FSI Large displacement and strain 해석 Beam, Shell, Solid 등의 구조 요소사용  2 차원, 3 차원 유체요소, Steady-State, Transient 해석  Arbitrary Lagrangian-Eulerian (ALE) Formulation  Strong coupling (two-way) Result: Exactly the same tip displacement referred in literature Modelling time: 1 day for such a complex problem (FSI, large displacement, grid movement)

ADINA-FSI  FSI solver 는 유체와 구조 를 정의하는데 있어 다음과 같은 부분에 대해서는 제한 이 없어야 한다.  Models  Elements  Materials  Boundary conditions  Numerical Integration procedures Mesh discrepancy at the Fluid Structure Interface FLUIDS Structure Solving the flow field and extracting the pressure forces upon the structure Calculating the structure deformation due to external and internal forces Fluid Structure Interaction Automatic exchange Between the solvers Boundary conditions at fluid-structure interface ADINA-CFDADINA-Structure

ADINA-FSI New Mesh T<Tend Data Input Solver Initialization Fluid Solver Structure Solver No Exit Fluid Domain Remesh Displacement at F-S interface Fluid force at F-S interface r d ≤ e d r t ≤ e t Yes No 오른쪽의 flow chart 와 같은 iterative 방식과 구조와 유체를 하나의 시스템으로 구성하여 solving 하는 direct 방식을 선택하여 사용할 수 있다.

ADINA 적용사례들

FSI Analysis to Understand Carpal Tunnel Syndrome Anatomy of the human wrist and carpal tunnel

FSI Analysis to Understand Carpal Tunnel Syndrome -The geometry is reconstructed using MRI images. -Solid part: median nerve, tendons, carpal tunnel wall -Fluid part: the fluid contained in the carpal tunnel -Solid: incompressible viscoelastic material -Fluid: Newtonian fluid -The magnitude and direction of displacements for the median nerve and tendons: from an actual pattern of tendon excursions obtained from MRI -A transient dynamic analysis for a duration of 0.5 s

FSI Analysis to Understand Carpal Tunnel Syndrome Contour plots of stresses in the solid phase and pressure in the fluid phase Fluid velocity vector plots

FSI Analysis to Understand Carpal Tunnel Syndrome

Fluid-structure Interaction Analysis of the Human Coughing Mechanism Breathing cartilage tissue

Fluid-structure Interaction Analysis of the Human Coughing Mechanism Coughing

Fluid-structure Interaction Analysis of the Human Coughing Mechanism -The tissues in the trachea wall are modeled as isotropic and anisotropic hyperelastic materials using the Holzapfel material model -Air flow in the trachea is modeled as a Newtonian fluid under laminar and turbulent flow conditions respectively for normal breathing and coughing processes

Fluid-structure Interaction in Brain Dynamics Schematic of different parts of the brain Finite element model of cranio-spinal system for normal and communicating hydrocephalus subjects

-a study of the dynamics of the cerebrospinal fluid (CSF) and its interactions with the brain tissues -MRI scan images of normal and hydrocephalic subjects are used for constructing the patient-specific model geometries and anatomically accurate poroelastic finite element models -The cerebrospinal fluid: an incompressible, viscous Newtonian fluid -The parenchyma and the spinal cord: saturated poroelastic media -Prescribed displacement boundary conditions emulate the expansion and dilation of the cerebral vasculature occurring during the cardiac cycle  pulsatile cerebrospinal fluid flow. Fluid-structure Interaction in Brain Dynamics

Comparison of cerebrospinal fluid flow pattern between normal (left) and hydrocephalic (right) subjects

Fluid-structure Interaction in Brain Dynamics Comparison between the intercranial pressure of normal subject and hydrocephalic patient

Fluid-structure Interaction in Brain Dynamics Stress distribution and flow pattern for a communicating hydrocephalus patient

Fluid-structure Interaction in Brain Dynamics Comparison between the computational results and the in vivo cerebrospinal fluid flow measurements

Fluid-structure Interaction in Cardiovascular Mechanics The model of the vessel wall, vulnerable plaque (lipid) and inclusion (calcification). The solid and fluid phases are modeled with about 900,000 elements and the transient dynamic analysis is performed for a total of 2,500 time steps, representing two flow cycles Courtesy of D. Bluestein, Y. Alemu, K. Dumont, J.J. Ricotta

Fluid-structure Interaction in Cardiovascular Mechanics Stress concentration due to the presence of inclusion Computational grid for fluid and solid phases and blow up of the calcification spot

Flexible tube compression: Flow through veins or arteries Grid of the deformed systemDeformed system

Simulation of Neutrophil (Cell) Passing through a Capillary Fluid Model : Plasma in the capillary - Newtonian fluid, Arbitrary Lagrangian Eulerian (ALE) mesh Solid Model : Neutrophil - Viscoelastic Maxwell solid with large displacements and large strains, Surface tension boundary is applied, Contact between its boundary and the capillary walls

FSI Analysis for Heart Surgery Re-constructed 3D ventricle geometry: contours, geometry, valve and patch positions, meshes Courtesy of Prof. D. Tang, Worcester Polytechnic Institute

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