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Data-driven discovery of nonlinear wave equations in weak formulation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00387034" target="_blank" >RIV/68407700:21230/25:00387034 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.61782/fa.2025.0259" target="_blank" >http://dx.doi.org/10.61782/fa.2025.0259</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.61782/fa.2025.0259" target="_blank" >10.61782/fa.2025.0259</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Data-driven discovery of nonlinear wave equations in weak formulation

  • Original language description

    This paper deals with one of the subfields of physics-informed machine learning: data-driven discovery of partial differential equations. This work focuses on finite-amplitude sound propagation, i.e., nonlinear wave equations of the second-order approximation. Based on the principle of parsimony, we employ the sparsity promoting regression techniques to discover the governing equations. The training dataset was obtained by numerically solving the compressible Navier-Stokes equations. The investigated case involves the propagation of pressure pulses as travelling waves, leading to the discovery of the Westervelt equation. An algorithm trying to discover strong formulation of a partial differential equation suffers from low accuracy, due to the physical phenomena we are dealing with, i.e. local steep gradients. Improved accuracy was achieved when the problem is converted from strong formulation to a weak one. This benchmark study opens up opportunities for further discoveries in finite-amplitude sound propagation or findings linearizing transformations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10307 - Acoustics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 11th Convention of the European Acoustics Association Forum Acusticum / EuroNoise 2025

  • ISBN

    978-84-87985-35-5

  • ISSN

    3005-7124

  • e-ISSN

    3005-7124

  • Number of pages

    5

  • Pages from-to

    5269-5273

  • Publisher name

    European Acoustics Association

  • Place of publication

    Madrid

  • Event location

    Malaga

  • Event date

    Jun 23, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article