Upon successful completion, students will demonstrate the ability to apply interdisciplinary analytical and computational skills to solve challenges in civil engineering and transportation. They will integrate theoretical insights with practical problem‐solving approaches to evaluate material behavior, enhance structural integrity, optimize system operations, and innovate sustainable construction practices. Furthermore, students will develop proficiency in computational modeling and algorithmic techniques to analyze and design resilient infrastructure and transportation systems, equipping them to contribute effectively in dynamic, real‐world environments.
Students will learn the latest methods and models for characterizing asphalt materials and describing the mechanical behavior from binders to asphalt mixtures. The relationship between testing methods and parameters and the corresponding material models will be demonstrated.
Students acquire in-depth knowledge of the planning, management and operational implementation of railway operations. They will be able to carry out qualitative and quantitative assessments of railway operations and its infrastructural, safety and vehicle-related conditions.
Students acquire a basic understanding of the finite element method for solving boundary value problems. They can apply the method to linear problems (heat conduction, diffusion, electrostatics, aerodynamics, elasticity).
Students will get familiar with methods for describing the deformation and stress state. They will also get familiar with linear material models, including thermal strain.
Students will learn the essential anatomical, morphological, physical, and chemical properties of organic building materials (wood-based materials and plastics) and acquire in-depth knowledge of raw materials, properties, production, and applications of organic building materials and wood-based materials.
This course covers the concepts that enable students to understand existing source codes and, in particular, to create new R&D software. The students will be able to estimate and classify the complexity of algorithms of various numerical methods and they will be familiar with essential numerical algorithms for the simulation of engineering problems.
Disciplines | Civil Engineering |
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Semester | Winter semester |
Level of study | Master |
ECTS Credits | 31 |
Faculty | Faculty Faculty of Architecture, Civil Engineering and Environmental Sciences |
Institutes | • Braunschweig Pavement Engineering Centre (ISBS) • Institute of railway systems engineering and traffic safety (IfEV) • Institute of Applied Mechanics (IAM) • Centre for Light and Environmentally-Friendly Structures (ZELUBA®), Fraunhofer Institute for Wood Research (WKI) |
For further information on the module package, please contact: