The objective of the subproject is the optimal design of load-carrying systems under uncertainty based on complex finite-element component models. This is achieved by the development and application of novel mathematical methods for the robust optimization of geometry, topology and for actuator placement.
For an efficient numerical treatment, first- and second-order approximations with respect to the uncertain parameters will be used. Based on finite-element models, optimal excitations and sensor positions will be deter-mined such that model uncertainty during production and usage can be identified reliably.
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For more information about cookies we use, please refer to our privacy policy. Legal note. Subproject A3. Mathematical Optimization in Robust Product Design The objective of the subproject is the optimal design of load-carrying systems under uncertainty based on complex finite-element component models.
Robust topology optimization By utilizing level-set and phase-field methods, topology changes are made possible when optimally designing load-carrying systems. Adaptive optimization methods based on reduced-order models Growing complexity of components and their mathematical models increase the computational cost of robust optimization.
