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Item type:Research Data, Access status: with files , Dataset for Fail-Safe Topology Optimization using Artificial Neural Networks(2026-05-11)This repository contains the training dataset created within the research project "Structural Optimization for Fail-Safe Designs by Machine Learning". The objective of the project is to investigate machine learning approaches for fail-safe topology optimization. In particular, a conditional generative adversarial network (cGAN) was trained to map topology-optimized non-fail-safe structures obtained from standard compliance minimization to corresponding fail-safe designs.Data Type: Dataset106 41