Finite element generation of sibilants /s/ and /z/ using random distributions of Kirchhoff vortices.

Int J Numer Method Biomed Eng

GTM Grup de Recerca en Tecnologies Mèdia, La Salle-Universitat Ramon Llull, Barcelona, Spain.

Published: February 2020

The numerical simulation of sibilant sounds in three-dimensional realistic vocal tracts constitutes a challenging problem because it involves a wide range of turbulent flow scales. Rotating eddies generate acoustic waves whose wavelengths are inversely proportional to the flow local Mach number. If that is low, very fine meshes are required to capture the flow dynamics. In standard hybrid computational aeroacoustics (CAA), where the incompressible Navier-Stokes equations are first solved to get a source term that is secondly input into an acoustic wave equation, this implies resorting to supercomputer facilities. As a consequence, only very short time intervals of the sibilant can be produced, which may be enough for its spectral characterization but insufficient to synthesize, for instance, an audio file from it or a syllable sound. In this work, we propose to substitute the aeroacoustic source term obtained from the computational fluid dynamics (CFD) in the first step of hybrid CAA, by a random distribution of Kirchhoff's spinning vortices, located in the region between the upper incisors and the lower lip. In this way, one only needs to solve a linear wave equation to generate a sibilant, and therefore avoids the costly large-scale computations. We show that our proposal can recover the outcomes of hybrid CAA simulations in average, and that it can be applied to generate sibilants /s/ and /z/. Modeling and implementation details of the Kirchhoff vortex distribution in a stabilized finite element code are discussed in the paper, as well as the outcomes of the simulations.

Download full-text PDF

Source
http://dx.doi.org/10.1002/cnm.3302DOI Listing

Publication Analysis

Top Keywords

finite element
8
sibilants /s/
8
/s/ /z/
8
source term
8
wave equation
8
hybrid caa
8
element generation
4
generation sibilants
4
/z/ random
4
random distributions
4

Similar Publications

Predicting fall parameters from infant skull fractures using machine learning.

Biomech Model Mechanobiol

January 2025

Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, 84112, USA.

When infants are admitted to the hospital with skull fractures, providers must distinguish between cases of accidental and abusive head trauma. Limited information about the incident is available in such cases, and witness statements are not always reliable. In this study, we introduce a novel, data-driven approach to predict fall parameters that lead to skull fractures in infants in order to aid in determinations of abusive head trauma.

View Article and Find Full Text PDF

Objective: Soft tissue defects and postoperative wound healing complications related to calcaneus fractures may result in significant morbidity. The aim of this study was to investigate whether percutaneous minimally invasive screw internal fixation (PMISIF) can change this situation in the treatment of calcaneal fractures, and aimed to explore the mechanical effects of different internal fixation methods on Sanders type III calcaneal fractures through finite element analysis.

Methods: This retrospective analysis focused on 83 patients with Sanders II and III calcaneal fractures from March 2017 to March 2022.

View Article and Find Full Text PDF

Background: This study assessed stress distributions in simulated mandibular molars filled with various materials after the removal of fractured instruments from the apical thirds of the root canals.

Methods: Finite element models of the mesial and distal root canals were created, where fractured instruments were assumed to be removed using a staging platform established with a modified Gates-Glidden bur (Woodpecker, Guangxi, P.R.

View Article and Find Full Text PDF

Mechanical behavior of external root resorption cavities restored with different materials: a 3D-FEA study.

BMC Oral Health

January 2025

Faculty of Dentistry, Department of Endodontics, Ondokuz Mayis University, Samsun, Kurupelit, 55139, Turkey.

Background: The aim was to evaluate the stresses in teeth, with external root resorption (ERR) restored with different materials using finite element analysis (FEA).

Methods: In this study, a Micro-CT scan was conducted on a prepared maxillary central tooth. DICOM-compatible images obtained from the sections were converted into stereolithography format using Ctan software.

View Article and Find Full Text PDF

Carbon dioxide capture underpins an important range of technologies that can help to mitigate climate change. Improved carbon capture technologies that are driven by electrochemistry are under active development, and it was recently found that supercapacitor energy storage devices can reversibly capture and release carbon dioxide. So-called supercapacitive swing adsorption (SSA) has several advantages over traditional carbon dioxide capture technologies such as lower energy consumption and the use of nontoxic materials.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!