Machine learning and deep learning in phononic crystals and metamaterials–A review
Abstract Machine learning (ML), as a component of artificial intelligence, encourages
structural design exploration which leads to new technological advancements. By …
structural design exploration which leads to new technological advancements. By …
The boundary element method in acoustics: A survey
S Kirkup - Applied Sciences, 2019 - mdpi.com
The boundary element method (BEM) in the context of acoustics or Helmholtz problems is
reviewed in this paper. The basis of the BEM is initially developed for Laplace's equation …
reviewed in this paper. The basis of the BEM is initially developed for Laplace's equation …
DNoiseNet: Deep learning-based feedback active noise control in various noisy environments
YJ Cha, A Mostafavi, SS Benipal - Engineering Applications of Artificial …, 2023 - Elsevier
The use of active noise control/cancelation (ANC) has increased because of the availability
of efficient circuits and computational power. However, most ANC systems are based on …
of efficient circuits and computational power. However, most ANC systems are based on …
Multi-frequency acoustic topology optimization of sound-absorption materials with isogeometric boundary element methods accelerated by frequency-decoupling and …
The paper presents a novel approach for multi-frequency acoustic topology optimization of
sound-absorption materials. In this work, the isogeometric boundary element method based …
sound-absorption materials. In this work, the isogeometric boundary element method based …
A BEM broadband topology optimization strategy based on Taylor expansion and SOAR method—Application to 2D acoustic scattering problems
In this article, an innovative method is proposed for broadband topology optimization of
sound‐absorbing materials adhering to the surface of a sound barrier structure. Helmholtz …
sound‐absorbing materials adhering to the surface of a sound barrier structure. Helmholtz …
A sample-efficient deep learning method for multivariate uncertainty qualification of acoustic–vibration interaction problems
We propose an efficient Monte Carlo simulation method to address the multivariate
uncertainties in acoustic–vibration interaction systems. The deep neural network acts as a …
uncertainties in acoustic–vibration interaction systems. The deep neural network acts as a …
Acoustic topology optimization of sound absorbing materials directly from subdivision surfaces with isogeometric boundary element methods
This paper presents an acoustic topology optimization approach using isogeometric
boundary element methods based on subdivision surfaces to optimize the distribution of …
boundary element methods based on subdivision surfaces to optimize the distribution of …
A review of finite-element methods for time-harmonic acoustics
LL Thompson - The Journal of the Acoustical Society of America, 2006 - pubs.aip.org
State-of-the-art finite-element methods for time-harmonic acoustics governed by the
Helmholtz equation are reviewed. Four major current challenges in the field are specifically …
Helmholtz equation are reviewed. Four major current challenges in the field are specifically …
Bi-material topology optimization for fully coupled structural-acoustic systems with isogeometric FEM–BEM
This paper presents a novel method for topology optimization of vibrating structures
interacted with acoustic wave for the purpose of minimizing radiated sound power level. We …
interacted with acoustic wave for the purpose of minimizing radiated sound power level. We …
[HTML][HTML] A review of sensory interactions between autonomous vehicles and drivers
J Lu, Z Peng, S Yang, Y Ma, R Wang, Z Pang… - Journal of Systems …, 2023 - Elsevier
Nowadays, human-oriented has already become the direction of the development of the
intelligent vehicle, among which, the cabin, in constant contact with drivers, is getting more …
intelligent vehicle, among which, the cabin, in constant contact with drivers, is getting more …