1 / 18

Coupled systems

Coupled systems. Coupled systems. A coupled system is one in which physically or computationally heterogeneous mechanical components interact dynamically.

sailor
Télécharger la présentation

Coupled systems

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Coupled systems

  2. Coupled systems • A coupled system is one in which physically or computationally heterogeneous mechanical components interact dynamically. • The coupled system is called one-way, if there is no feedback between the subsystems and two way, if there is feedback between the subsystems. • The concept of coupled systems can be generalized to multi-coupled systems, for example fluid-structure-fluid (e.g. water-boat-air). • In most problems it cannot be decided if the problem is one-way or two-way. Regarding the interaction of a very slow driving car with the surrounding air, the influence of the air on the car can be neglected. At a certain speed however, the aerodynamic resistance plays an importantrole.

  3. One way and two way Fluid structureinteractiondomain Oneway: fluid motionimposedbymovingstructure Twoway: flowwillactonthesurface of theelasticstructureand will cause a deformation. This deformation changes the flow domain.

  4. Three Hot Areas in Computational Mechanics COUPLED SYSTEMSare modeled and simulated by three “multis” • MULTIPHYSICS: divide problem into partitions as per physics (as in structures and fluids) at similar space/time scales. • MULTISCALE: model physical partitions as per represented scales. Material models spanning a range of physical scales. • MULTIPROCESSING: distribute representations as per computational resources. It refers to computational methods that use system. Hierarchy: (1) physics, (2) scales, (3) resources

  5. Decomposition of a complex coupled systemTypes of Partitions • Physical Partitions: physical fields with mathematical models. • 1. Structure • 2. Fluid • Artificial Partition • 3. Dynamic (ALE) Mesh

  6. Decomposition of a complex coupled systemTypes of Partitions • For computational treatment of a dynamical coupled system, fields are discretized in space and time: • PARTITION: a subdivision of a coupled system in space, usually based on physics (fields). Partitioning may be algebraic (matching meshes) and differential (Nonmatched meshes) SPLITTING: a separation of a partition in time or pseudo-time of a field.

  7. Examples • Fluid Structure interaction (2) • Control structure interaction(2) • Electro-thermo-mechanical interaction(3) • Control fluid structure interaction (3) • Fluid structure combustion thermal interaction (4) Turbine Gas Ceramic Wigleyhull

  8. Examples

  9. Industrial applications • Automotive — shock absorbers, hydraulicenginemounts, valves, pumps, compressors, tire hydroplaning, airbag deployment, exhaustsystems, car doorseals, etc • Fluid containers — oiltankssubjecttoearthquake, fuel tanksloshing, etc. • Biomechanics — cardiovascular mechanics, cerebrospinalmechanics, implant/prostheticdesign, cell/tissuemechanics, artificial lung, drugdelivery, eyedisease, ventricular assistdevices, carpaltunnel, vocal fold/upperairway, artificial heartvalves, aneurysms, bileflow, bioreactors, etc. • Turbomachinery — impellers, gas turbines, wind turbines, etc. • Nuclear powerplants — control roddrop, blowdowncondition, etc. • Aeroelasticity — flutter of airplanewings • Windengineering — effect of windontallbuildings, cable stayed bridges, etc. • Compressors, Pumps, Valves and Pipe Systems — gearpumps, impedancepumps, checkvalves, membranevalves, etc. • Seals — hydrodynamicseals, faceseals, brushseals, etc. • Micro-Electro-MechanicalSystems (MEMS) • Dam-reservoirInteraction — dynamic analysis of differenttypes of dams (Concrete, Rock-fill, etc.)

  10. Control-structureinteraction

  11. Interaction diagram The fluid, structure and mesh models in the diagram have similar space and time scales

  12. Interaction diagram: Equations

  13. Underwater Shock (UWS)- Early 70s

  14. Interaction Diagram for Underwater Shock

  15. Solution Strategies ODE Elimination Methods special, numerically dangerous Monolithic Methods general, “top-down flavor” Partitioned Methods general, “bottom-up flavor”

  16. Solution Strategies Monolitic approach: • The equations governing the flow and the displacement of the structure are solved simultaneously, with a single solver. Both subproblems (fluid-structure) must be formulated as one combined. • In cases where the flow and the solid physics are inseparable linked together, the governing equations of the physics of the fluid and the solid must be solved simultaneously. This approach seems to be ideal when the physical interactions are strongly non-linear. At present, this method is practicable only for elementary examples.

  17. Solution Strategies • Partitioned approach: the equations governing the flow and the displacement of the structure are solved separately, with two distinct solvers. An advantage of the partitioned approach is that differents solvers can be used for the different subproblems. • Field elimination: the elimination of field variables at the level of differential equations is limited to elementary linear problems. For this method the equations must be inserted one into the other.

  18. Partitioning: advantages and disadvantages • Simplifies reuse of software, methods & models • Different software & methods for different partitions • New methods and models may be introduced in a modular fashion according to project needs. For example, it may be necessary to include local nonlinear effects in an individual field while keeping everything else the same. • Facilitates individual research on components. Separate models can be prepared by different design teams • These advantages are not cost free. The partitioned approach requires careful formulation and implementation to avoid degradation in stability and accuracy. Parallel implementations are particularly delicate.

More Related