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Tools for Multi-Physics Simulation: A Comprehensive Overview

Explore the history, current projects, and future visions of a robust multi-physics simulation tool developed by Hans Petter Langtangen at Simula Research Laboratory in Oslo, Norway. Discover the range of applications, including structural mechanics, water waves, aerodynamics, and more. This tool, known as Diffpack, offers features like linear solvers, grid support, and adaptive meshing for solving complex partial differential equations. Learn about its evolution from the 1990s to present versions, open-source initiatives, and collaborations with global institutions. Dive into the powerful applications in computational geosciences, cardiac computing, and simulating catastrophic events like tsunamis and asteroid impacts. Simula is at the forefront of cutting-edge ICT research, educating the next generation of researchers and fostering research-based business ventures since its inception in 2001.

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Tools for Multi-Physics Simulation: A Comprehensive Overview

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  1. Tools for Multi-Physics Simulation Hans Petter Langtangen Simula Research Laboratory Oslo, Norway Department of Informatics, University of Oslo

  2. Present Simula projects History of the group Future ideas/visions multi-physics PDE components Python F77 C++ Python

  3. Structural mechanics Porous media flow Water waves Aero- dynamics Stochastic PDEs Incompressible flow Heat transfer Other PDE applications 1990s: Diffpack & applications I/O FDM Grid FEM Field Matrix Vector Ax=b

  4. BiCGStab MG CG Finite element grid Finite element field Linear equations and solvers A Typical Diffpack PDE Solver Class P1 Grid* grid; Field* p; LinEqAdm* Axb; integrands (…); K(…); Evaluate integrands in weak form Evaluate variable coefficient

  5. Diffpack distribution • 1995 & 1997: Open source versions • 1997-2003: Numerical Objects • 2003-?: inuTech • Free test version (size limit) • Simula collaborators have free access • Customers include Cornell, Stanford, LLNL, Intel, NASA, Shell, IFP, DaimlerCrysler, Mitsubishi, ... • >200 customers in >30 countries

  6. Some Diffpack features • Linear solvers and preconditioners • Grids and scalar/vector fields • Biased towards FEM, support for FDM • Mixed FEM, block systems • Systems of PDEs • Stochastic PDEs • Multilevel solution • Adaptive mesh (h-adaptivity) • Parallel computing • Problem solving environment

  7. Some Diffpack applications • Heat and phase transfer • Viscous laminar and turbulent flow • Thermo-elastic-plastic deformation • Electromagnetics • Chemical reactors • Design of quantum computers • Stochastic porous media flow • Electrical activity in the heart • Tsunami simulation • ...

  8. Simula is a new government lab for advanced ICT research High quality research Educate graduate university students Prepare for research- based business Startup Jan 1, 2001

  9. Research groups were selected by competition 11 Applicants Software Engineering Scientific Computing Networks and Distributed Systems

  10. Simula emphasizes large projects Inverse problems Computational geosciences Software for PDEs Cardiac Computing

  11. Computing the electrical activity in the heart

  12. 231 million elements 39 million unknowns 252 million elements 42 million unknowns 400-500 millions of ODEs This is a computationally intensive problem

  13. Computational geosciences • Goal: find more oil! • Compute geological evolution • Multi-resolution visualization • PDEs for deposition/erosion • Flow, heat, deformation • Software integration • Advanced tools for tracking geological events

  14. Offshore Geohazards –Tsunami generation

  15. The Storegga Slide (8150 yrsBP) Headwall 300 km Run-out  800 km Volume  5.600 km3 Area  34.000 km2

  16. The Mjølnir asteroide impact

  17. Barents Sea, 142 mill. years ago

  18. The Mjølnir event was 1000 times stronger than the Dec 26, 2004 event!

  19. The Mjølnir tsunami consisted of a series of individual waves

  20. The evolution of the front of the tsunami

  21. The Silent Wings soaring simulator uses advanced terrain visualization

  22. SWIG GiNaC Python C++/F77 SWIG/F2PY FAMMS

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