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Data · dataset · 2026

GNN-based surrogate modeling for predicting structural parameters and seismic responses of moment frame structures

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This repository provides the implementation of a graph neural network (GNN)-based surrogate model developed for predicting structural parameters and seismic responses of moment frame structures.This dataset are developed to support the study:Title: Graph-based data-physics hybrid surrogate modeling for seismic response estimation of steel moment frame building portfoliosAuthors: Shandy Rianto, Xinzheng LuJournal: Bulletin of Earthquake Engineering, 2026

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Inferred from text
Civil engineering 70%
Provenance · 1 source records, 10 field assertions
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ScienceDB10.57760/sciencedb.3305112 d agoJSON v1
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