Work

Form-Finding and Physical Property Predictions of Tensegrity Structures Using Deep Neural Networks

Year: 2024

Type: conference-paper

Source: 2018 52nd Asilomar Conference on Signals, Systems, and Computers

DOI: 10.1109/ieeeconf60004.2024.10942880

Authors: Muhao Chen, Jing Qin

Institution: University of Kentucky

Language: English

Topic: Structural Analysis and Optimization

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Award: Graph-Based Regularization Techniques and Their Applications

OpenAlex ID: W4409156877

FWCI: 9.684

Cites: 23

Cited by: 6

Related to: 10