Accompanying Dataset and Python Code for Reproducibility and Implementation of the IR-TDIBC Method

Supporting Dataset and Python Code for TDIBC Method This repository provides the dataset and Python codes necessary to regenerate the figures presented in the manuscript "Revisiting Nonlinear Impedance in Acoustic Liners" (https://hal.science/hal-04810729v1) and to facilitate the proper implementation of the Impulse-Response Time-Domain Impedance Boundary Condition (IR-TDIBC) method. The materials aim to promote transparency, reproducibility, and accessibility for researchers working with nonlinear impedance models and acoustic liners in time domain. Contents Dataset: Includes data used in the manuscript, covering experimental measurements obtained in an impedance tube and flow noise obtained in the B2A bench at ONERA. Python Scripts: Scripts designed to: Recreate the figures from the paper Demonstrate the IR-TDIBC implementation step-by-step Features Scripts for generating plots and verifying results from the manuscript. Clear examples to help users adapt the IR-TDIBC method to their specific setups. Annotations and explanations within the code for ease of understanding and modification.