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Residual-Based Evaluation of AI Surrogates for Composite Topology Optimization under Simulation-Only Small-Data Conditions

2025-09-01

Abstract excerpt

<title>Abstract</title> <p>This study evaluates the performance of AI-based surrogate models for topology optimization of composite structures under data-sparse, simulation-only conditions. Using a limited dataset (27 cases) generated via ANSYS and SimScale, Artificial Neural Networks and Random Forests were assessed through regression metrics and residual diagnostics. Both models showed poor generalization, with...

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Literature Corpus work
3ecc3821-a251-5751-bbd0-61ede27ac05c
DOI
10.21203/rs.3.rs-7353742/v1
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Residual-Based Evaluation of AI Surrogates for Composite Topology Optimization under Simulation-Only Small-Data ConditionsDOI 10.21203/rs.3.rs-7353742/v1
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