Integrating graph neural networks with physics-informed loss function for mechanical response prediction of hollow concrete structures with morphed honeycomb configurations

hanmo wang, Pau Fatt Michael Tan, Yee Zin Foo, Shawn Owyong, Zhuyin Lu, Huan Ting Chen, Tam Hong Nguyen, Alexander Lin

Keywords: Graph neural networks, Physics-informed loss function, Structural analysis, Mechanical behavior, Hollow concrete structures, Morphed honeycomb configurations

TL;DR: Integrates graph neural networks with physics-informed loss function for mechanical response prediction of hollow structures.

Confirmation Of Submission Requirements: I submit a previously published paper. It was published in an archival peer–reviewed venue on or after September 8th 2024, I specify the DOI in the field below, and I submit the camera-ready version of the paper.

DOI: https://doi.org/10.1016/j.matdes.2025.113659

Submission Number: 122