Search Results for author:
Found 2 papers, 0 papers with code
Physics-Informed Machine Learning for Seismic Response Prediction OF Nonlinear Steel Moment Resisting Frame Structures
There is growing interest in using machine learning (ML) methods for structural metamodeling due to the substantial computational cost of traditional simulations.
An Unsupervised Machine Learning Approach for Ground-Motion Spectra Clustering and Selection
Clustering analysis of sequence data continues to address many applications in engineering design, aided with the rapid growth of machine learning in applied science.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
