Cover Image

Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	De, Subhayan, Hai, Bhuiyan Shameem Mahmood Ebna, Doostan, Alireza, Bause, Markus
Format:	Preprint
Published:	2021
Subjects:	Signal Processing Machine Learning Fluid Dynamics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Accelerated Development of Multicomponent Alloys in Discrete Design Space Using Bayesian Multi-Objective Optimisation
by: Mamun, Osman, et al.
Published: (2024)

Hydrodynamic Whispering: Enabling Near-Field Silent Communication via Artificial Lateral Line Arrays
by: Chen, Yuan-Jie
Published: (2025)

A machine-learning optimized vertical-axis wind turbine
by: Liu, Huan, et al.
Published: (2025)

Boiling flow parameter estimation from boundary layer data
by: Utley, Jeffrey W., et al.
Published: (2026)

Slip Due to Kink Propagation at the Liquid-Solid Interface
by: Cam, Metehan, et al.
Published: (2024)

WindDensity-MBIR: Model-Based Iterative Reconstruction for Wind Tunnel 3D Density Estimation
by: Weisenburger, Karl J., et al.
Published: (2026)

Interface-induced turbulence in viscous binary fluid mixtures
by: Padhan, Nadia Bihari, et al.
Published: (2024)

Interface Dynamics at a Four-fluid Interface during Droplet Impact on a Two-Fluid System
by: Chowdhury, Akash, et al.
Published: (2024)

Assessment of unsteady flow predictions using hybrid deep learning based reduced order models
by: Bukka, Sandeep Reddy, et al.
Published: (2020)

Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net
by: Deo, Indu Kant, et al.
Published: (2024)

A boostlet transform for wave-based acoustic signal processing in space-time
by: Zea, Elias, et al.
Published: (2024)

A multiscale and multicriteria Generative Adversarial Network to synthesize 1-dimensional turbulent fields
by: Granero-Belinchon, Carlos, et al.
Published: (2023)

Influence of Diaphragm Dynamics on Shock Wave Propagation in Double-Diaphragm Shock Tubes
by: Kashif, Touqeer Anwar, et al.
Published: (2024)

Layering Theory of Liquids at Solid Interfaces: Interfacial Layering Oscillator Model
by: Sun, Chengzhen, et al.
Published: (2025)

Modeling Surface Wave Propagation over Meniscus and Scattering by a Surface-piercing Barrier
by: Liu, Guoqin, et al.
Published: (2025)

Machine learning in fluid dynamics: A critical assessment
by: Taira, Kunihiko, et al.
Published: (2025)

Physics-Guided Machine Learning for Uncertainty Quantification in Turbulence Models
by: Chu, Minghan, et al.
Published: (2025)

Improved Prediction of Settling Behaviour of Solid Particles through Machine Learning Analysis of Experimental Retention Time Data
by: Keren, Liron Simon, et al.
Published: (2023)

Mist Generation Behavior in Ultrasonic Atomizer for Aerosol Jet Printing
by: Feng, James Q, et al.
Published: (2023)

Transient growth in diabatic boundary layers with fluids at supercritical pressure
by: Boldini, Pietro Carlo, et al.
Published: (2024)

Dynamic behavior of shear-thickening fluids under harmonic excitation: an experimental investigation
by: Rezaei, Mohammad Parsa, et al.
Published: (2025)

The impact of pressure oscillations on bubble rising in shear-thinning fluids
by: Riccio, Mario, et al.
Published: (2025)

Development of the Multichannel Pulsed Ultrasonic Doppler Velocimeter for the measurement of liquid metal flow
by: Pan, Ding-Yi, et al.
Published: (2024)

An improved lattice Boltzmann method with a novel conservative boundary scheme for viscoelastic fluid flows
by: Yu, Yuan, et al.
Published: (2025)

On the problem of optimal fluid transport in capillaries
by: Fricke, Mathis, et al.
Published: (2024)

Confirming Wave Turbulence Predictions in Rotating Turbulence
by: Shaltiel, Omri, et al.
Published: (2025)

Discovering Boundary Equations for Wave Breaking using Machine Learning
by: Tang, Tianning, et al.
Published: (2024)

Physics Based & Machine Learning Methods For Uncertainty Estimation In Turbulence Modeling
by: Chu, Minghan
Published: (2024)

Linear Kelvin Wave Predictions in the $z\to 0$ Limit
by: Weymouth, Gabriel D
Published: (2026)

Uncertainty Quantification in Computational Fluid Dynamics: Physics and Machine Learning Based Approaches
by: Chu, Minghan
Published: (2023)

Sensitivity of three-dimensional boundary-layer stability to intrinsic uncertainties of fluid properties: a study on supercritical CO2
by: Ren, Jie, et al.
Published: (2025)

Direct Numerical Simulations of K-type transition in a flat-plate boundary layer with supercritical fluids
by: Boldini, Pietro Carlo, et al.
Published: (2024)

Lattice Boltzmann simulation reveals supercritical bifurcation in flow mode transitions of power-law fluids in the four-roll mill
by: Yu, Yuan, et al.
Published: (2025)

Meta-PINNs: Meta-Learning Enhanced Physics-Informed Machine Learning Framework for Turbomachinery Flow Predictions under Varying Operation Conditions
by: Han, Yuling, et al.
Published: (2026)

Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation
by: Gupta, Aman, et al.
Published: (2024)

Signatures of fluid-fluid displacement in porous media: wettability, patterns, and pressures
by: Primkulov, Bauyrzhan K., et al.
Published: (2019)

The fluid dynamics of a viscoelastic fluid dripping onto a substrate
by: Zinelis, Konstantinos, et al.
Published: (2024)

Clustering Method for Time-Series Images Using Quantum-Inspired Computing Technology
by: Inoue, Tomoki, et al.
Published: (2023)

A level set-based solver for two-phase incompressible flows: Extension to magnetic fluids
by: Makaremi-Esfarjani, Paria, et al.
Published: (2024)

Predictive Model and Optimization of Micromixers Geometry using Gaussian Process with Uncertainty Quantification and Genetic Algorithm
by: Maionchi, Daniela de Oliveira, et al.
Published: (2024)