Design Exploration & Adjoint Optimization, Simcenter STAR-CCM+, online

Training overview

This training focused on methods in Simcenter STAR-CCM+ for systematic design exploration and optimization. The sessions covered automated workflows, parametric modeling, and advanced optimization strategies, with an emphasis on robustness and reproducibility.

Workshops demonstrated practical application of these methods to real simulation cases, highlighting workflows for performance evaluation, sensitivity analysis, and optimization under multiple objectives and constraints.

Duration: Duration one day (8h)

Training content

• • Process Automation & Robust Workflows – seamless CAD-to-mesh pipelines and automated variant updates.
  • Design Space Exploration – from manual sweeps to DOE, adaptive sampling, and surrogate modeling for deeper insights.
  • Optimization Techniques – gradient-based methods, genetic algorithms, Pareto front analysis, and SHERPA for efficient multi-objective optimization.
  • Adjoint Methods – powerful sensitivity analysis to identify the impact of design changes and enable rapid shape optimization.
  • Topology Optimization – simulation-driven generative design to automatically propose innovative geometries that meet performance goals.

Prerequisites

Basic knowledge in CFD and Simcenter STAR-CCM+, potentially gained from attending to Volupe’s introductory course in Simcenter STAR-CCM+.