# Computational Acoustics

## Course content

Intended learning outcome: The students are able to

1. describe the most important available acoustic numerical methods based on characteristics, advantages and disadvantages.
2. derive the mathematical principles of each numerical method by giving the related equations based on the underlying models and simplifying assumptions.
3. apply a numerical method taking into account suitable acoustic parameters.
4. choose a suitable numerical method based on their advantages and disadvantages for a given acoustic problem.
5. justify the applicability of a given numerical method for a given acoustic problem based on the underlying theory.
6. conceptualize a suitable hybrid method for simulating a practical multi-physics problem by connecting their knowledge of existing numerical methods.
7. to implement code fragments into a given acoustic numerical tool.

Module content:

1. Fundamentals and Definitions: Basic acoustical knowledge and mathematical modelling.
2. Modelling and Simulation: Modelling of acoustic problems, simulation process, and introduction to the major numerical methods of acoustics.
3. Finite Element Method (FEM): Introduction to FEM, FEM modelling of fluid domain, structural domain and coupled problems, level of finite element discretization, FEM for free field/radiation problems, free field boundary conditions, mathematical formulation of plate, damping models, fluid-structure interaction, and application examples.
4. Boundary Element Method (BEM): Introduction to BEM, BEM modelling, mathematical formulation, uniqueness of BEM, strategies to overcome non-uniqueness, and application examples.
5. Geometrical Methods: Introduction to major geometrical methods of Mirror Image Source Method (MISM), Ray Tracing Method (RTM), and application examples.
6. Statistical Energy Analysis (SEA): Introduction to SEA, basic parameters of SEA, and application examples.
7. Hybrid Methods: Motivation for hybrid methods. Coupling of methods: FEM-BEM, FEM-Scaled Boundary FEM, BEM-RTM, RTM-FEM, CFD-FEM/BEM, SEA-FEM, and application examples.
8. Parameter Identification and Validation: Introduction to parameter identification, validation, validation criteria, and verification.

## Course information

 Code 2543007 + 2543008 Aerospace Engineering, Mechanical Engineering, Industrial and Mechanical Engineering, Automotive Engineering, Biochemical Engineering Prof. Dr.-Ing. Sabine Christine Langer Lecture + exercise course Summer semester English Master 5 Christopher Blech (Please contact the lecturer if the contact person is not available.)