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Introduction to
Ansys LS-TaSC

Course Overview

This class provides an introduction to using the topology optimization and shape computation code, LS-TaSC, for design. It covers both the theoretical concepts and practical aspects of topology optimization. The course includes workshop sessions in which the theoretical topics are applied. The LS-TaSC graphical user interface is used to teach input preparation and post-processing.


  • Equiv­a­lent knowl­edge to an in­tro­duc­to­ry class in LS-DY­NA is rec­om­mend­ed.

Teaching Method

Lectures and computer practical sessions to validate acquired knowledge.

Learning Outcome

Following completion of this course, you will be able to:

  • Use LS-TaSC to determine optimal material distribution in a structure.
  • Setup and solve nonlinear topology optimization problems using LS-DYNA.
  • Apply topology optimization concepts to constrained, multi-load case, and multidisciplinary problems.
  • Optimize a surface to minimize stress concentration.

 Available Dates

Currently, no training dates available

Learning Options

Training materials for this course are available with a Ansys Learning Hub Subscription. If there is no active public schedule available, private training can be arranged. Please contact us.


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

  • 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 definition

Virtual Classroom Session 2

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