Topics Covered :

1. Topology Optimization in LS-TaSC
   1. Goal, user interface, and model setup
   2. Basic topology optimization algorithm in LS-TaSC
   3. Material interpolation schemes and solid/void strategy.
   4. Design sensitivity filtering and neighbour radius.
   5. Optimization algorithm and convergence criteria
2. Geometry and Manufacturing definitions
3. Post-processing
4. Constrained optimization using control theory and multi-point method
5. Multi-load case optimization and weighting
6. Multidisciplinary topology optimization using static, dynamic, and NVH design.
7. Shape optimization using node-based surface design feature.

Agenda :

This is a 1-day classroom course covering both lectures and workshops. For virtual training, this course is covered over 2 x 2-hour sessions lectures only.

Virtual Classroom Session 1 / Live Classroom Day 1

• Module 1 – Topology Optimization in LS-TaSCGoal, theory, and methods
• Geometric and manufacturing definitions
• Postprocessing
• Workshop 1.1 – Setting up a simple example at given target mass fraction
• Workshop 1.2 – Topology optimization with geometric definitions

Virtual Classroom Session 2 / Live Classroom Day 1

• Module 2 – Advanced topics
•  Constrained optimization
• Multi-load case optimization and weighting
• Multidisciplinary optimization
• Shape optimization
• Workshop 2 – Constrained optimization example