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Author

Johannes Sperber

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Conference Open access 2026

Application of a Machine Learning-Based Topology Optimization Method on an Automotive B-Pillar for Crashworthy Lightweight Design

This work investigates the application of voidML to a reinforcement patch of a B-pillar which is subject to a side impact load case. voidML is a machine learning-based topology optimization method that iteratively inserts voids into crash-loaded thin-walled structures while preserving the deformation behavior of a refe...

Jirair Aroyan, Johannes Sperber, C. Ortmann et al. · 0 citations

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