ANALYSIS TYPE / 06
Design Systems and Products for a Range of Possible Scenarios
Overview
Robust design optimization is the process of designing a system or product that can perform well in various conditions despite uncertainty and variability. To achieve this, it is necessary to identify and address potential sources of uncertainty and variability, then optimize the design to be resilient against these uncertainties. Different optimization classes include consistent variability and uncertainty handling, worst-case deviation analysis, and various techniques such as hybrid optimization, worst-case scenario analysis, and sensitivity analysis. This ensures products meet performance targets across the full range of manufacturing variation.
Industries Served
Deliverables
Key Aspects
Computationally distributing material within a design domain to minimise compliance or mass subject to stress and manufacturing constraints — delivering the optimum structural layout.
Refining the outer boundary of an existing design to reduce stress concentrations and improve fatigue life — using gradient-based or adjoint sensitivity methods.
Quantifying how performance metrics respond to design parameter variation — identifying critical dimensions and guiding tolerance allocation for robust performance.
Balancing competing objectives — mass, stiffness, NVH performance, and cost — using Pareto-front methods to identify designs that represent the best trade-off.
Connect with our structural simulation team to discuss the right approach for your application.
