Fluid Dynamics and Acoustics Research

Report on Recent Developments in Fluid Dynamics and Acoustics Research

General Trends and Innovations

The recent literature in fluid dynamics and acoustics reveals a concerted effort towards enhancing the accuracy, efficiency, and physical fidelity of numerical models and simulation techniques. A notable trend is the integration of advanced mathematical formulations and computational methods to address complex, real-world problems in fluid mechanics and acoustics. This includes the development of novel finite element methods (FEM) that conserve energy and angular momentum, as well as the exploration of reduced order models (ROMs) for fluid simulations, particularly in the context of proper orthogonal decomposition (POD).

In the realm of fluid dynamics, there is a growing emphasis on the development of numerical methods that can accurately capture turbulent flows and variable density effects, such as those encountered in coastal ocean dynamics and ice-ocean interactions. These methods often incorporate modifications to traditional formulations to enhance conservation properties, leading to more physically realistic simulations. Additionally, the use of tensor-based viscosity operators and residual-based shock-capturing techniques is becoming more prevalent, enabling better resolution of turbulent flow features and reduced artificial diffusion.

In acoustics, the focus is shifting towards the study of nonlinear acoustic models, with particular attention to their well-posedness, long-time behavior, and structure-preserving discretizations. The use of velocity-enthalpy formulations and port-Hamiltonian structures is emerging as a powerful approach to ensure the stability and accuracy of numerical solutions. Furthermore, there is a significant push towards the inversion of sound speed profiles (SSPs) from multibeam echo sounder (MBES) data, which is crucial for improving underwater surveillance and situational awareness. This involves the development of sophisticated inversion algorithms that incorporate a priori knowledge and regularization techniques to handle the inherent non-uniqueness of the problem.

Noteworthy Contributions

  1. Energy-Conserving Finite Element Method for Turbulent Flows:

    • Introduces a novel, symmetric tensor-based viscosity operator and demonstrates superior resolution of turbulent flow features in complex environments.
  2. Nonlinear Acoustics in Velocity-Enthalpy Formulation:

    • Provides a rigorous analysis of well-posedness and long-time behavior, highlighting the advantages of a port-Hamiltonian structure for numerical stability.
  3. Inversion of Sound Speed Profiles from MBES Data:

    • Proposes an innovative inversion method that combines empirical orthogonal functions (EOFs) and neural networks to accurately recover SSPs, outperforming traditional climatology methods.

Sources

A Priori Error Bounds for POD-ROMs for Fluids: A Brief Survey

A potential energy conserving finite element method for turbulent variable density flow: application to glacier-fjord circulation

Well-posedness, long-time behavior, and discretization of some models of nonlinear acoustics in velocity-enthalpy formulation

Inverting the sound speed profile from multi-beam echo sounder data and historical measurements -- a simulation study