Releases: rinconraul/IdentifyingEfficientSubmodelFidelityCombinations
Release list
Release v1.0.1 - Codes for identifying efficient submodel fidelity comb
This release contains the Python functions used to perform the analysis in the following paper:
Rincon R, Padgett JE. (2026). “Identifying submodel fidelity combinations that yield efficient multiscale models for infrastructure performance estimation.” Reliability Engineering and System Safety, In Review, January 2026.
Additionally, this release includes a Jupyter Notebook and a model generator function to demonstrate the code's use.
Release v1.0.0 - Codes for identifying efficient submodel fidelity combinations and example
This release contains the Python functions used to perform the analysis in the following paper:
Rincon R, Padgett JE. (2026). “Identifying submodel fidelity combinations that yield efficient multiscale models for infrastructure performance estimation.” Reliability Engineering and System Safety, In Review, January 2026.
Additionally, this release includes a Jupyter Notebook and a model generator function to demonstrate the code's use.