AI-Driven Structural Optimization: Neural Surrogates on Parametric ETABS Datasets
by Louie Doniego Balmores & Sandra AgcaoiliLinkedIn · ORCID · ResearchGate · RocketReach · ContactOut · · Balmores Lab
Training deep-learning surrogate models on 5,000+ parametric ETABS models to predict member demand and preliminary sizing in seconds. Early results show strong correlation for RC-frame envelopes with material-efficiency gains up to 12% vs. engineer-only baselines.
structural optimizationdeep learningETABSreinforced concretesurrogate modeling
This is a working paper from the Balmores Lab research programme. For credentials and background, see the official profile and CV.
