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Training and Interpretability of Deep-Neural Methods for Damage Calibration in Copper.
We present an application of convolutional neural networks for calibration of a tensile
plasticity (TePla) damage model simulating the spallation in copper under high-explosive …
plasticity (TePla) damage model simulating the spallation in copper under high-explosive …
Development of a predictive method of the response to shock loads of a spacecraft's structure
A Ranieri - 2025 - tesidottorato.depositolegale.it
This thesis addresses one of the most pressing challenges in satellite development:
accurately predicting shock loads during launch to optimize structural design and reduce the …
accurately predicting shock loads during launch to optimize structural design and reduce the …