tongcezhou / deeponet-reliability

DeepONet-assessment-for-reliability-analysis

Assessment of DeepONet for time dependent reliability analysis of dynamical systems subjected to stochastic loading

The GitHub repository contains sample DeepONet Python codes for the case studies carried out in the research paper titled 'Assessment of DeepONet for time dependent reliability analysis of dynamical systems subjected to stochastic loading'. Please go through the research paper to understand the implemented algorithm. Note: Results may vary slightly for different iterations of programs as random initializations of neural network is involved.

Dataset Link: https://csciitd-my.sharepoint.com/:f:/g/personal/amz218308_iitd_ac_in/EvnTp1xMs4JLojvaOiPDIooBs_yPDZhc38kzf231-rCbMg?e=dv2uGF

** If there is some ambiguity in the datasets/codes please comment in the repository.

arXiv Citation details: @article{garg2022assessment, title={Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems}, author={Garg, Shailesh and Gupta, Harshit and Chakraborty, Souvik}, journal={arXiv preprint arXiv:2201.13145}, year={2022} }

**Citation details for the journal paper will be updated later