MODSIM 3DXCONFERENCE Modeling_and_Simulation_from_an_Industry_Perspective
I am pleased to invite you to attend my presentation on the Global 3DEXPERIENCE Modeling & Simulation Virtual Conference, on November 17-18.
Register now!
https://events.3ds.com/global-3dexperience-modeling-simulation-virtual-conference
My presentation:
Are you interested in performing structural optimizations on really large complex industrial assembly models?
Are you hesitant due to potentially too long computation times and high hardware requirements?
Then please tune into my presentation “Large Simulations for Optimization with High Performance and High Accuracy” where I will present some of SIMULIA’s most recent innovative developments for the Abaqus + Tosca Structure solver technologies.
Nowadays, direct solver technology is frequently a limiting factor when solving really “large scale” industrial problems. Today large-scale problems can be in the range from 100M to around 200M DOF’s. The limitations often consist of memory and time requirements for solving a specific problem. Oftentimes a very large bulky structural continuum model will not even fit in the available RAM memory of the available computers.
Alternatively, iterative solvers provide a scalable and fast solution for “large-scale” problems. The Algebraic Multigrid (AMG) iterative solver (first introduced in the Abaqus 6.10 release) is enhanced significantly starting from Abaqus 2017 to run in a hybrid mode to reduce the memory consumption compared to previous releases and to be more efficient than the direct sparse solver for bulky structural continuum models having many degrees of freedom.
The enhanced iterative solver in Abaqus is able to handle modeling features like connector elements, hybrid elements, gasket elements, couplings (kinematic and distributing), contacts (both penalty and direct enforcement), fasteners etc. Many of these industrial features cases cannot be solved using traditional iterative solvers.
The enhanced iterative solver scales almost linearly with the problem size for the memory consumption, and provide dramatic runtime performance improvements for suitable applications. Moreover, in many cases, it acts as an enabling technology rather than a solver alternative.
With more and more focus on structural optimization, we are now looking to solve our real large-scale industrial problems not only one time but for several optimization iterations, e.g. 50 or even 100 times. With this, it is even more important to find solutions that will facilitate optimization of large-scale real world industrial problems. The presentation will discuss this topic and show several application examples.Topology optimization of 13M Dof engine assembly including preloading for assembly, nonlinear contacts, materials, large couplings and several service load-cases.
Topology optimization of 116M Dof wing model.
Presentation Replay
I will be happy to answer your questions here as well.
You can find all event presentations on the wiki page:
