Computational Acoustics

Course content

Intended learning outcome: The students are able to …

  1. name the relevant physical foundations of structure borne sound with respect to generic oscillating systems.
  2. recall the working principles of the interaction of airborne and structure borne sound.
  3. theoretically and practically apply passive noise mitigation measures to a given problem description.
  4. compare the effect of different passive measures for reducing structure borne sound using a practical example.
  5. develop solutions for the design of low-noise technical products.
  6. apply design guidelines for acoustical design in the early phase of product development to exemplary constructions.
  7. evaluate noise protection measures in relation to a practical example.
  8. conduct modelling and computations of various practical problems using a given numerical tool.
  9. derive meaningful insights of a system’s acoustic behavior on the basis of results obtained from computations.

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 + 2516089
Degree programme(s) Mechanical Engineering
Lecturer(s) Prof. Dr.-Ing. Sabine Christine Langer
Type of course Lecture + exercise course + laboratory
Semester Summer semester
Language of instruction English
Level of study Master
ECTS credits 7
Contact person Christopher Blech (Please contact the lecturer if the contact person is not available.)