arXiv Open Access 2025

Prediction of acoustic field in 1-D uniform duct with varying mean flow and temperature using neural networks

D. Veerababu Prasanta K. Ghosh

Lihat Sumber

Abstrak

Neural networks constrained by the physical laws emerged as an alternate numerical tool. In this paper, the governing equation that represents the propagation of sound inside a one-dimensional duct carrying a heterogeneous medium is derived. The problem is converted into an unconstrained optimization problem and solved using neural networks. Both the acoustic state variables: acoustic pressure and particle velocity are predicted and validated with the traditional Runge-Kutta solver. The effect of the temperature gradient on the acoustic field is studied. Utilization of machine learning techniques such as transfer learning and automatic differentiation for acoustic applications is demonstrated.

Topik & Kata Kunci

cs.LG cs.SD eess.AS

Penulis (2)

D. Veerababu

Prasanta K. Ghosh

Format Sitasi

APA MLA BibTeX

Veerababu, D., Ghosh, P.K. (2025). Prediction of acoustic field in 1-D uniform duct with varying mean flow and temperature using neural networks. https://arxiv.org/abs/2507.22370

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓