@article {RIPOLLES:2024:0736-2935:3907,
title = "Introducing uncertainties in acoustic engineering studies",
journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings",
parent_itemid = "infobike://ince/incecp",
publishercode ="ince",
year = "2024",
volume = "270",
number = "8",
publication date ="2024-10-04T00:00:00",
pages = "3907-3914",
itemtype = "ARTICLE",
issn = "0736-2935",
url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2024/00000270/00000008/art00100",
doi = "doi:10.3397/IN_2024_3390",
author = "RIPOLLES, Jean and TH{\’e}NINT, Thibaud and SCHMICH YAMANE, Isabelle",
abstract = "PIBE (Pr{\’e}voir l'Impact du Bruit des {\’E}oliennes - Predicting the impact of wind-turbine noise) is a research project funded by ANR (French National Research Agency) which main objectives are to better understand the sound level created by wind-turbines and assess noise-reduction
solutions. One topic of this project focuses on the propagation of uncertainties. Code_TYMPAN(tm) is an open-source software for calculating industrial noise in the environment. Its open architecture, implemented by a Python API, allows advanced users to build and solve models programmatically.
This open architecture made possible the implementation of a parametrical computational tool. This tool generates input data, launches the calculations with Code_TYMPAN(tm), generates and post-processes output data. Thus, sensitivity analysis and propagation of uncertainties were performed
on an industrial test case. This development demonstrates the feasibility of introducing uncertainties in acoustic engineering studies.",
}