NOTE

This repository currently contains some of the early codes of the paper " SURROGATE MODEL-AIDED GLOBAL SENSITIVITY ANALYSIS FRAMEWORK FOR SEISMIC CONSEQUENCES ESTIMATION IN BUILDINGS (Under review)".

Reference

[1] Guan X, Burton H, Sabol T. Python-based computational platform to automate seismic design, nonlinear structural model construction and analysis of steel moment resisting frames. Eng Struct. 2020;224:111199. doi:10.1016/j.engstruct.2020.111199

[2] Herman J, Usher W. SALib: An open-source Python library for Sensitivity Analysis. J Open Source Softw. 2017;2(9):97. doi:10.21105/joss.00097

[3] Gardner J, Pleiss G, Weinberger KQ, Bindel D, Wilson AG. Gpytorch: Blackbox matrix-matrix gaussian process inference with gpu acceleration. Adv Neural Inf Process Syst. 2018;31. Accessed September 25, 2023. https://proceedings.neurips.cc/paper/2018/hash/27e8e17134dd7083b050476733207ea1-Abstract.html